id	sid	tid	token	lemma	pos
cana-4850	1	1	communications	communication	NOUN
cana-4850	1	2	on	on	ADP
cana-4850	1	3	applied	apply	VERB
cana-4850	1	4	nonlinear	nonlinear	ADJ
cana-4850	1	5	analysis	analysis	NOUN
cana-4850	1	6	issn	issn	NOUN
cana-4850	1	7	:	:	PUNCT
cana-4850	1	8	1074	1074	NUM
cana-4850	1	9	-	-	PUNCT
cana-4850	1	10	133x	133x	NUM
cana-4850	1	11	vol	vol	VERB
cana-4850	1	12	32	32	NUM
cana-4850	1	13	no	no	NOUN
cana-4850	1	14	.	.	PUNCT
cana-4850	2	1	10s	10	NOUN
cana-4850	2	2	(	(	PUNCT
cana-4850	2	3	2025	2025	NUM
cana-4850	2	4	)	)	PUNCT
cana-4850	2	5	620	620	NUM
cana-4850	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4850	2	7	role	role	NOUN
cana-4850	2	8	of	of	ADP
cana-4850	2	9	deep	deep	ADJ
cana-4850	2	10	learning	learning	NOUN
cana-4850	2	11	in	in	ADP
cana-4850	2	12	protein	protein	NOUN
cana-4850	2	13	structure	structure	NOUN
cana-4850	2	14	prediction	prediction	NOUN
cana-4850	2	15	:	:	PUNCT
cana-4850	2	16	current	current	ADJ
cana-4850	2	17	progress	progress	NOUN
cana-4850	2	18	and	and	CCONJ
cana-4850	2	19	open	open	ADJ
cana-4850	2	20	challenges	challenge	NOUN
cana-4850	2	21	bhushan	bhushan	PROPN
cana-4850	2	22	wakode1	wakode1	PROPN
cana-4850	2	23	,	,	PUNCT
cana-4850	3	1	dr	dr	PROPN
cana-4850	3	2	s	s	PROPN
cana-4850	3	3	p	p	NOUN
cana-4850	3	4	deshpande2	deshpande2	PROPN
cana-4850	3	5	1research	1research	NUM
cana-4850	3	6	scholar	scholar	NOUN
cana-4850	3	7	,	,	PUNCT
cana-4850	3	8	pgdcst	pgdcst	NOUN
cana-4850	3	9	,	,	PUNCT
cana-4850	3	10	dcpe	dcpe	NOUN
cana-4850	3	11	,	,	PUNCT
cana-4850	3	12	amravati	amravati	PROPN
cana-4850	3	13	,	,	PUNCT
cana-4850	3	14	india	india	PROPN
cana-4850	3	15	2professor	2professor	PROPN
cana-4850	3	16	,	,	PUNCT
cana-4850	3	17	pgdcst	pgdcst	NOUN
cana-4850	3	18	,	,	PUNCT
cana-4850	3	19	dcpe	dcpe	NOUN
cana-4850	3	20	,	,	PUNCT
cana-4850	3	21	amravati	amravati	PROPN
cana-4850	3	22	,	,	PUNCT
cana-4850	3	23	india	india	PROPN
cana-4850	3	24	e-mai:bhushan.wakode@gmail.com	e-mai:bhushan.wakode@gmail.com	PROPN
cana-4850	3	25	article	article	NOUN
cana-4850	3	26	history	history	NOUN
cana-4850	3	27	:	:	PUNCT
cana-4850	3	28	received	receive	VERB
cana-4850	3	29	:	:	PUNCT
cana-4850	3	30	12	12	NUM
cana-4850	3	31	-	-	SYM
cana-4850	3	32	01	01	NUM
cana-4850	3	33	-	-	PUNCT
cana-4850	3	34	2025	2025	NUM
cana-4850	3	35	revised	revise	VERB
cana-4850	3	36	:	:	PUNCT
cana-4850	3	37	15	15	NUM
cana-4850	3	38	-	-	NUM
cana-4850	3	39	02	02	NUM
cana-4850	3	40	-	-	PUNCT
cana-4850	3	41	2025	2025	NUM
cana-4850	3	42	accepted	accept	VERB
cana-4850	3	43	:	:	PUNCT
cana-4850	3	44	01	01	NUM
cana-4850	3	45	-	-	SYM
cana-4850	3	46	03	03	NUM
cana-4850	3	47	-	-	PUNCT
cana-4850	3	48	2025	2025	NUM
cana-4850	3	49	abstract	abstract	NOUN
cana-4850	3	50	:	:	PUNCT
cana-4850	3	51	introduction	introduction	NOUN
cana-4850	3	52	:	:	PUNCT
cana-4850	3	53	protein	protein	NOUN
cana-4850	3	54	structure	structure	NOUN
cana-4850	3	55	prediction	prediction	NOUN
cana-4850	3	56	is	be	AUX
cana-4850	3	57	a	a	DET
cana-4850	3	58	fundamental	fundamental	ADJ
cana-4850	3	59	challenge	challenge	NOUN
cana-4850	3	60	in	in	ADP
cana-4850	3	61	computational	computational	ADJ
cana-4850	3	62	biology	biology	NOUN
cana-4850	3	63	,	,	PUNCT
cana-4850	3	64	with	with	ADP
cana-4850	3	65	significant	significant	ADJ
cana-4850	3	66	implications	implication	NOUN
cana-4850	3	67	for	for	ADP
cana-4850	3	68	drug	drug	NOUN
cana-4850	3	69	discovery	discovery	NOUN
cana-4850	3	70	,	,	PUNCT
cana-4850	3	71	disease	disease	NOUN
cana-4850	3	72	modelling	modelling	NOUN
cana-4850	3	73	,	,	PUNCT
cana-4850	3	74	and	and	CCONJ
cana-4850	3	75	biotechnology	biotechnology	NOUN
cana-4850	3	76	.	.	PUNCT
cana-4850	4	1	traditional	traditional	ADJ
cana-4850	4	2	experimental	experimental	ADJ
cana-4850	4	3	methods	method	NOUN
cana-4850	4	4	such	such	ADJ
cana-4850	4	5	as	as	ADP
cana-4850	4	6	x	x	NOUN
cana-4850	4	7	-	-	NOUN
cana-4850	4	8	ray	ray	NOUN
cana-4850	4	9	crystallography	crystallography	NOUN
cana-4850	4	10	,	,	PUNCT
cana-4850	4	11	nuclear	nuclear	ADJ
cana-4850	4	12	magnetic	magnetic	ADJ
cana-4850	4	13	resonance	resonance	NOUN
cana-4850	4	14	spectroscopy	spectroscopy	NOUN
cana-4850	4	15	,	,	PUNCT
cana-4850	4	16	and	and	CCONJ
cana-4850	4	17	cryo	cryo	NOUN
cana-4850	4	18	-	-	PUNCT
cana-4850	4	19	electron	electron	NOUN
cana-4850	4	20	microscopy	microscopy	NOUN
cana-4850	4	21	provide	provide	VERB
cana-4850	4	22	highly	highly	ADV
cana-4850	4	23	accurate	accurate	ADJ
cana-4850	4	24	structural	structural	ADJ
cana-4850	4	25	insights	insight	NOUN
cana-4850	4	26	but	but	CCONJ
cana-4850	4	27	are	be	AUX
cana-4850	4	28	expensive	expensive	ADJ
cana-4850	4	29	,	,	PUNCT
cana-4850	4	30	time	time	NOUN
cana-4850	4	31	-	-	PUNCT
cana-4850	4	32	consuming	consume	VERB
cana-4850	4	33	,	,	PUNCT
cana-4850	4	34	and	and	CCONJ
cana-4850	4	35	often	often	ADV
cana-4850	4	36	unsuitable	unsuitable	ADJ
cana-4850	4	37	for	for	ADP
cana-4850	4	38	complex	complex	ADJ
cana-4850	4	39	or	or	CCONJ
cana-4850	4	40	membrane	membrane	NOUN
cana-4850	4	41	-	-	PUNCT
cana-4850	4	42	bound	bind	VERB
cana-4850	4	43	proteins	protein	NOUN
cana-4850	4	44	.	.	PUNCT
cana-4850	5	1	to	to	PART
cana-4850	5	2	address	address	VERB
cana-4850	5	3	these	these	DET
cana-4850	5	4	limitations	limitation	NOUN
cana-4850	5	5	,	,	PUNCT
cana-4850	5	6	computational	computational	ADJ
cana-4850	5	7	approaches	approach	NOUN
cana-4850	5	8	have	have	AUX
cana-4850	5	9	emerged	emerge	VERB
cana-4850	5	10	,	,	PUNCT
cana-4850	5	11	categorized	categorize	VERB
cana-4850	5	12	into	into	ADP
cana-4850	5	13	physics	physics	NOUN
cana-4850	5	14	-	-	PUNCT
cana-4850	5	15	based	base	VERB
cana-4850	5	16	simulations	simulation	NOUN
cana-4850	5	17	,	,	PUNCT
cana-4850	5	18	evolutionary	evolutionary	ADJ
cana-4850	5	19	-	-	PUNCT
cana-4850	5	20	based	base	VERB
cana-4850	5	21	modeling	modeling	NOUN
cana-4850	5	22	,	,	PUNCT
cana-4850	5	23	and	and	CCONJ
cana-4850	5	24	deep	deep	ADJ
cana-4850	5	25	learning	learning	NOUN
cana-4850	5	26	techniques	technique	NOUN
cana-4850	5	27	.	.	PUNCT
cana-4850	6	1	recent	recent	ADJ
cana-4850	6	2	advancements	advancement	NOUN
cana-4850	6	3	in	in	ADP
cana-4850	6	4	machine	machine	NOUN
cana-4850	6	5	learning	learning	NOUN
cana-4850	6	6	and	and	CCONJ
cana-4850	6	7	deep	deep	ADJ
cana-4850	6	8	learning	learning	NOUN
cana-4850	6	9	have	have	AUX
cana-4850	6	10	revolutionized	revolutionize	VERB
cana-4850	6	11	protein	protein	NOUN
cana-4850	6	12	structure	structure	NOUN
cana-4850	6	13	prediction	prediction	NOUN
cana-4850	6	14	.	.	PUNCT
cana-4850	7	1	models	model	NOUN
cana-4850	7	2	like	like	ADP
cana-4850	7	3	alphafold2	alphafold2	NOUN
cana-4850	7	4	and	and	CCONJ
cana-4850	7	5	rosettafold	rosettafold	NOUN
cana-4850	7	6	have	have	AUX
cana-4850	7	7	achieved	achieve	VERB
cana-4850	7	8	near	near	ADV
cana-4850	7	9	-	-	PUNCT
cana-4850	7	10	experimental	experimental	ADJ
cana-4850	7	11	accuracy	accuracy	NOUN
cana-4850	7	12	by	by	ADP
cana-4850	7	13	leveraging	leverage	VERB
cana-4850	7	14	large	large	ADJ
cana-4850	7	15	-	-	PUNCT
cana-4850	7	16	scale	scale	NOUN
cana-4850	7	17	protein	protein	NOUN
cana-4850	7	18	datasets	dataset	NOUN
cana-4850	7	19	and	and	CCONJ
cana-4850	7	20	advanced	advanced	ADJ
cana-4850	7	21	neural	neural	ADJ
cana-4850	7	22	network	network	NOUN
cana-4850	7	23	architectures	architecture	NOUN
cana-4850	7	24	.	.	PUNCT
cana-4850	8	1	however	however	ADV
cana-4850	8	2	,	,	PUNCT
cana-4850	8	3	challenges	challenge	NOUN
cana-4850	8	4	remain	remain	VERB
cana-4850	8	5	in	in	ADP
cana-4850	8	6	multi	multi	ADJ
cana-4850	8	7	-	-	ADJ
cana-4850	8	8	protein	protein	ADJ
cana-4850	8	9	interaction	interaction	NOUN
cana-4850	8	10	modeling	modeling	NOUN
cana-4850	8	11	,	,	PUNCT
cana-4850	8	12	side	side	NOUN
cana-4850	8	13	-	-	PUNCT
cana-4850	8	14	chain	chain	NOUN
cana-4850	8	15	conformation	conformation	NOUN
cana-4850	8	16	prediction	prediction	NOUN
cana-4850	8	17	,	,	PUNCT
cana-4850	8	18	dataset	dataset	NOUN
cana-4850	8	19	biases	bias	NOUN
cana-4850	8	20	,	,	PUNCT
cana-4850	8	21	and	and	CCONJ
cana-4850	8	22	computational	computational	ADJ
cana-4850	8	23	efficiency	efficiency	NOUN
cana-4850	8	24	.	.	PUNCT
cana-4850	9	1	additionally	additionally	ADV
cana-4850	9	2	,	,	PUNCT
cana-4850	9	3	the	the	DET
cana-4850	9	4	black	black	ADJ
cana-4850	9	5	-	-	PUNCT
cana-4850	9	6	box	box	NOUN
cana-4850	9	7	nature	nature	NOUN
cana-4850	9	8	of	of	ADP
cana-4850	9	9	deep	deep	ADJ
cana-4850	9	10	learning	learning	NOUN
cana-4850	9	11	models	model	NOUN
cana-4850	9	12	limits	limit	VERB
cana-4850	9	13	their	their	PRON
cana-4850	9	14	interpretability	interpretability	NOUN
cana-4850	9	15	,	,	PUNCT
cana-4850	9	16	necessitating	necessitate	VERB
cana-4850	9	17	efforts	effort	NOUN
cana-4850	9	18	to	to	PART
cana-4850	9	19	enhance	enhance	VERB
cana-4850	9	20	transparency	transparency	NOUN
cana-4850	9	21	and	and	CCONJ
cana-4850	9	22	explainability	explainability	NOUN
cana-4850	9	23	in	in	ADP
cana-4850	9	24	ai	ai	ADJ
cana-4850	9	25	-	-	PUNCT
cana-4850	9	26	driven	drive	VERB
cana-4850	9	27	protein	protein	NOUN
cana-4850	9	28	modeling	modeling	NOUN
cana-4850	9	29	.	.	PUNCT
cana-4850	10	1	objectives	objective	NOUN
cana-4850	10	2	:	:	PUNCT
cana-4850	10	3	the	the	DET
cana-4850	10	4	main	main	ADJ
cana-4850	10	5	objective	objective	NOUN
cana-4850	10	6	of	of	ADP
cana-4850	10	7	this	this	DET
cana-4850	10	8	study	study	NOUN
cana-4850	10	9	is	be	AUX
cana-4850	10	10	to	to	PART
cana-4850	10	11	comprehensive	comprehensive	ADJ
cana-4850	10	12	review	review	VERB
cana-4850	10	13	the	the	DET
cana-4850	10	14	protein	protein	NOUN
cana-4850	10	15	structure	structure	NOUN
cana-4850	10	16	prediction	prediction	NOUN
cana-4850	10	17	methodologies	methodology	NOUN
cana-4850	10	18	,	,	PUNCT
cana-4850	10	19	highlighting	highlight	VERB
cana-4850	10	20	the	the	DET
cana-4850	10	21	evolution	evolution	NOUN
cana-4850	10	22	from	from	ADP
cana-4850	10	23	traditional	traditional	ADJ
cana-4850	10	24	computational	computational	ADJ
cana-4850	10	25	models	model	NOUN
cana-4850	10	26	to	to	ADP
cana-4850	10	27	cutting	cut	VERB
cana-4850	10	28	-	-	PUNCT
cana-4850	10	29	edge	edge	NOUN
cana-4850	10	30	deep	deep	ADJ
cana-4850	10	31	learning	learning	NOUN
cana-4850	10	32	frameworks	framework	NOUN
cana-4850	10	33	.	.	PUNCT
cana-4850	11	1	methods	method	NOUN
cana-4850	11	2	:	:	PUNCT
cana-4850	11	3	it	it	PRON
cana-4850	11	4	discusses	discuss	VERB
cana-4850	11	5	key	key	ADJ
cana-4850	11	6	challenges	challenge	NOUN
cana-4850	11	7	,	,	PUNCT
cana-4850	11	8	including	include	VERB
cana-4850	11	9	dataset	dataset	NOUN
cana-4850	11	10	limitations	limitation	NOUN
cana-4850	11	11	,	,	PUNCT
cana-4850	11	12	model	model	NOUN
cana-4850	11	13	scalability	scalability	NOUN
cana-4850	11	14	,	,	PUNCT
cana-4850	11	15	and	and	CCONJ
cana-4850	11	16	integration	integration	NOUN
cana-4850	11	17	with	with	ADP
cana-4850	11	18	experimental	experimental	ADJ
cana-4850	11	19	techniques	technique	NOUN
cana-4850	11	20	,	,	PUNCT
cana-4850	11	21	and	and	CCONJ
cana-4850	11	22	explores	explore	VERB
cana-4850	11	23	future	future	ADJ
cana-4850	11	24	research	research	NOUN
cana-4850	11	25	directions	direction	NOUN
cana-4850	11	26	such	such	ADJ
cana-4850	11	27	as	as	ADP
cana-4850	11	28	self	self	NOUN
cana-4850	11	29	-	-	PUNCT
cana-4850	11	30	supervised	supervise	VERB
cana-4850	11	31	learning	learning	NOUN
cana-4850	11	32	,	,	PUNCT
cana-4850	11	33	quantum	quantum	NOUN
cana-4850	11	34	computing	computing	NOUN
cana-4850	11	35	for	for	ADP
cana-4850	11	36	protein	protein	NOUN
cana-4850	11	37	folding	fold	VERB
cana-4850	11	38	simulations	simulation	NOUN
cana-4850	11	39	,	,	PUNCT
cana-4850	11	40	and	and	CCONJ
cana-4850	11	41	energyefficient	energyefficient	VERB
cana-4850	11	42	deep	deep	ADJ
cana-4850	11	43	learning	learning	NOUN
cana-4850	11	44	architectures	architecture	NOUN
cana-4850	11	45	.	.	PUNCT
cana-4850	12	1	conclusions	conclusion	NOUN
cana-4850	12	2	:	:	PUNCT
cana-4850	12	3	by	by	ADP
cana-4850	12	4	addressing	address	VERB
cana-4850	12	5	these	these	DET
cana-4850	12	6	challenges	challenge	NOUN
cana-4850	12	7	,	,	PUNCT
cana-4850	12	8	computational	computational	ADJ
cana-4850	12	9	protein	protein	NOUN
cana-4850	12	10	modeling	modeling	NOUN
cana-4850	12	11	can	can	AUX
cana-4850	12	12	further	far	ADV
cana-4850	12	13	advance	advance	VERB
cana-4850	12	14	biomedical	biomedical	ADJ
cana-4850	12	15	research	research	NOUN
cana-4850	12	16	,	,	PUNCT
cana-4850	12	17	enabling	enable	VERB
cana-4850	12	18	more	more	ADV
cana-4850	12	19	accurate	accurate	ADJ
cana-4850	12	20	disease	disease	NOUN
cana-4850	12	21	modeling	modeling	NOUN
cana-4850	12	22	,	,	PUNCT
cana-4850	12	23	rational	rational	ADJ
cana-4850	12	24	drug	drug	NOUN
cana-4850	12	25	design	design	NOUN
cana-4850	12	26	,	,	PUNCT
cana-4850	12	27	and	and	CCONJ
cana-4850	12	28	the	the	DET
cana-4850	12	29	development	development	NOUN
cana-4850	12	30	of	of	ADP
cana-4850	12	31	synthetic	synthetic	ADJ
cana-4850	12	32	biomolecules	biomolecule	NOUN
cana-4850	12	33	with	with	ADP
cana-4850	12	34	tailored	tailor	VERB
cana-4850	12	35	functions	function	NOUN
cana-4850	12	36	.	.	PUNCT
cana-4850	13	1	keywords	keyword	NOUN
cana-4850	13	2	:	:	PUNCT
cana-4850	13	3	amino	amino	ADJ
cana-4850	13	4	acid	acid	NOUN
cana-4850	13	5	sequence	sequence	NOUN
cana-4850	13	6	,	,	PUNCT
cana-4850	13	7	protein	protein	NOUN
cana-4850	13	8	structure	structure	NOUN
cana-4850	13	9	prediction	prediction	NOUN
cana-4850	13	10	,	,	PUNCT
cana-4850	13	11	multi	multi	ADJ
cana-4850	13	12	-	-	ADJ
cana-4850	13	13	protein	protein	ADJ
cana-4850	13	14	interaction	interaction	NOUN
cana-4850	13	15	,	,	PUNCT
cana-4850	13	16	protein	protein	NOUN
cana-4850	13	17	sequence	sequence	NOUN
cana-4850	13	18	,	,	PUNCT
cana-4850	13	19	drug	drug	NOUN
cana-4850	13	20	design	design	NOUN
cana-4850	13	21	.	.	PUNCT
cana-4850	14	1	1	1	X
cana-4850	14	2	.	.	X
cana-4850	14	3	introduction	introduction	NOUN
cana-4850	14	4	proteins	protein	NOUN
cana-4850	14	5	are	be	AUX
cana-4850	14	6	fundamental	fundamental	ADJ
cana-4850	14	7	to	to	ADP
cana-4850	14	8	nearly	nearly	ADV
cana-4850	14	9	all	all	PRON
cana-4850	14	10	biological	biological	ADJ
cana-4850	14	11	functions	function	NOUN
cana-4850	14	12	,	,	PUNCT
cana-4850	14	13	serving	serve	VERB
cana-4850	14	14	as	as	ADP
cana-4850	14	15	enzymes	enzyme	NOUN
cana-4850	14	16	,	,	PUNCT
cana-4850	14	17	structural	structural	ADJ
cana-4850	14	18	components	component	NOUN
cana-4850	14	19	,	,	PUNCT
cana-4850	14	20	and	and	CCONJ
cana-4850	14	21	signaling	signal	VERB
cana-4850	14	22	molecules	molecule	NOUN
cana-4850	14	23	within	within	ADP
cana-4850	14	24	cells	cell	NOUN
cana-4850	14	25	.	.	PUNCT
cana-4850	15	1	unlike	unlike	ADP
cana-4850	15	2	dna	dna	PROPN
cana-4850	15	3	,	,	PUNCT
cana-4850	15	4	which	which	PRON
cana-4850	15	5	primarily	primarily	ADV
cana-4850	15	6	stores	store	VERB
cana-4850	15	7	genetic	genetic	ADJ
cana-4850	15	8	information	information	NOUN
cana-4850	15	9	,	,	PUNCT
cana-4850	15	10	proteins	protein	NOUN
cana-4850	15	11	actively	actively	ADV
cana-4850	15	12	participate	participate	VERB
cana-4850	15	13	in	in	ADP
cana-4850	15	14	cellular	cellular	ADJ
cana-4850	15	15	processes	process	NOUN
cana-4850	15	16	through	through	ADP
cana-4850	15	17	dynamic	dynamic	ADJ
cana-4850	15	18	interactions	interaction	NOUN
cana-4850	15	19	[	[	X
cana-4850	15	20	1	1	NUM
cana-4850	15	21	]	]	PUNCT
cana-4850	15	22	.	.	PUNCT
cana-4850	16	1	the	the	DET
cana-4850	16	2	communications	communication	NOUN
cana-4850	16	3	on	on	ADP
cana-4850	16	4	applied	apply	VERB
cana-4850	16	5	nonlinear	nonlinear	ADJ
cana-4850	16	6	analysis	analysis	NOUN
cana-4850	16	7	issn	issn	NOUN
cana-4850	16	8	:	:	PUNCT
cana-4850	16	9	1074	1074	NUM
cana-4850	16	10	-	-	PUNCT
cana-4850	16	11	133x	133x	NUM
cana-4850	16	12	vol	vol	VERB
cana-4850	16	13	32	32	NUM
cana-4850	16	14	no	no	NOUN
cana-4850	16	15	.	.	PUNCT
cana-4850	17	1	10s	10	NOUN
cana-4850	17	2	(	(	PUNCT
cana-4850	17	3	2025	2025	NUM
cana-4850	17	4	)	)	PUNCT
cana-4850	17	5	621	621	NUM
cana-4850	17	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4850	17	7	3d	3d	NUM
cana-4850	17	8	structure	structure	NOUN
cana-4850	17	9	of	of	ADP
cana-4850	17	10	a	a	DET
cana-4850	17	11	protein	protein	NOUN
cana-4850	17	12	determines	determine	VERB
cana-4850	17	13	its	its	PRON
cana-4850	17	14	function	function	NOUN
cana-4850	17	15	,	,	PUNCT
cana-4850	17	16	influencing	influence	VERB
cana-4850	17	17	its	its	PRON
cana-4850	17	18	ability	ability	NOUN
cana-4850	17	19	to	to	PART
cana-4850	17	20	bind	bind	VERB
cana-4850	17	21	to	to	ADP
cana-4850	17	22	other	other	ADJ
cana-4850	17	23	molecules	molecule	NOUN
cana-4850	17	24	,	,	PUNCT
cana-4850	17	25	catalyze	catalyze	NOUN
cana-4850	17	26	biochemical	biochemical	ADJ
cana-4850	17	27	reactions	reaction	NOUN
cana-4850	17	28	,	,	PUNCT
cana-4850	17	29	and	and	CCONJ
cana-4850	17	30	regulate	regulate	VERB
cana-4850	17	31	various	various	ADJ
cana-4850	17	32	physiological	physiological	ADJ
cana-4850	17	33	mechanisms	mechanism	NOUN
cana-4850	17	34	[	[	X
cana-4850	17	35	2	2	NUM
cana-4850	17	36	]	]	PUNCT
cana-4850	17	37	.	.	PUNCT
cana-4850	18	1	understanding	understand	VERB
cana-4850	18	2	protein	protein	NOUN
cana-4850	18	3	structure	structure	NOUN
cana-4850	18	4	is	be	AUX
cana-4850	18	5	crucial	crucial	ADJ
cana-4850	18	6	in	in	ADP
cana-4850	18	7	fields	field	NOUN
cana-4850	18	8	such	such	ADJ
cana-4850	18	9	as	as	ADP
cana-4850	18	10	drug	drug	NOUN
cana-4850	18	11	discovery	discovery	NOUN
cana-4850	18	12	,	,	PUNCT
cana-4850	18	13	disease	disease	NOUN
cana-4850	18	14	modeling	modeling	NOUN
cana-4850	18	15	,	,	PUNCT
cana-4850	18	16	and	and	CCONJ
cana-4850	18	17	biotechnology	biotechnology	NOUN
cana-4850	18	18	,	,	PUNCT
cana-4850	18	19	where	where	SCONJ
cana-4850	18	20	identifying	identify	VERB
cana-4850	18	21	functional	functional	ADJ
cana-4850	18	22	proteins	protein	NOUN
cana-4850	18	23	can	can	AUX
cana-4850	18	24	lead	lead	VERB
cana-4850	18	25	to	to	ADP
cana-4850	18	26	novel	novel	VERB
cana-4850	18	27	therapeutic	therapeutic	ADJ
cana-4850	18	28	interventions	intervention	NOUN
cana-4850	18	29	[	[	X
cana-4850	18	30	3	3	NUM
cana-4850	18	31	]	]	PUNCT
cana-4850	18	32	.	.	PUNCT
cana-4850	19	1	despite	despite	SCONJ
cana-4850	19	2	their	their	PRON
cana-4850	19	3	biological	biological	ADJ
cana-4850	19	4	significance	significance	NOUN
cana-4850	19	5	,	,	PUNCT
cana-4850	19	6	determining	determine	VERB
cana-4850	19	7	protein	protein	NOUN
cana-4850	19	8	structures	structure	NOUN
cana-4850	19	9	remains	remain	VERB
cana-4850	19	10	a	a	DET
cana-4850	19	11	challenging	challenging	ADJ
cana-4850	19	12	task	task	NOUN
cana-4850	19	13	.	.	PUNCT
cana-4850	20	1	traditional	traditional	ADJ
cana-4850	20	2	experimental	experimental	ADJ
cana-4850	20	3	techniques	technique	NOUN
cana-4850	20	4	such	such	ADJ
cana-4850	20	5	as	as	ADP
cana-4850	20	6	x	x	NOUN
cana-4850	20	7	-	-	NOUN
cana-4850	20	8	ray	ray	NOUN
cana-4850	20	9	crystallography	crystallography	NOUN
cana-4850	20	10	,	,	PUNCT
cana-4850	20	11	nuclear	nuclear	ADJ
cana-4850	20	12	magnetic	magnetic	ADJ
cana-4850	20	13	resonance	resonance	NOUN
cana-4850	20	14	(	(	PUNCT
cana-4850	20	15	nmr	nmr	NOUN
cana-4850	20	16	)	)	PUNCT
cana-4850	20	17	spectroscopy	spectroscopy	NOUN
cana-4850	20	18	,	,	PUNCT
cana-4850	20	19	and	and	CCONJ
cana-4850	20	20	cryo	cryo	NOUN
cana-4850	20	21	-	-	PUNCT
cana-4850	20	22	electron	electron	NOUN
cana-4850	20	23	microscopy	microscopy	NOUN
cana-4850	20	24	(	(	PUNCT
cana-4850	20	25	cryo	cryo	NOUN
cana-4850	20	26	-	-	PUNCT
cana-4850	20	27	em	em	NOUN
cana-4850	20	28	)	)	PUNCT
cana-4850	20	29	provide	provide	VERB
cana-4850	20	30	highly	highly	ADV
cana-4850	20	31	accurate	accurate	ADJ
cana-4850	20	32	structural	structural	ADJ
cana-4850	20	33	insights	insight	NOUN
cana-4850	20	34	but	but	CCONJ
cana-4850	20	35	are	be	AUX
cana-4850	20	36	expensive	expensive	ADJ
cana-4850	20	37	,	,	PUNCT
cana-4850	20	38	time	time	NOUN
cana-4850	20	39	-	-	PUNCT
cana-4850	20	40	consuming	consume	VERB
cana-4850	20	41	,	,	PUNCT
cana-4850	20	42	and	and	CCONJ
cana-4850	20	43	not	not	PART
cana-4850	20	44	always	always	ADV
cana-4850	20	45	feasible	feasible	ADJ
cana-4850	20	46	for	for	ADP
cana-4850	20	47	all	all	DET
cana-4850	20	48	proteins	protein	NOUN
cana-4850	20	49	[	[	X
cana-4850	20	50	4	4	NUM
cana-4850	20	51	]	]	PUNCT
cana-4850	20	52	.	.	PUNCT
cana-4850	21	1	many	many	ADJ
cana-4850	21	2	proteins	protein	NOUN
cana-4850	21	3	,	,	PUNCT
cana-4850	21	4	especially	especially	ADV
cana-4850	21	5	membrane	membrane	NOUN
cana-4850	21	6	-	-	PUNCT
cana-4850	21	7	bound	bind	VERB
cana-4850	21	8	or	or	CCONJ
cana-4850	21	9	intrinsically	intrinsically	ADV
cana-4850	21	10	disordered	disordered	ADJ
cana-4850	21	11	proteins	protein	NOUN
cana-4850	21	12	,	,	PUNCT
cana-4850	21	13	are	be	AUX
cana-4850	21	14	difficult	difficult	ADJ
cana-4850	21	15	to	to	PART
cana-4850	21	16	crystallize	crystallize	VERB
cana-4850	21	17	or	or	CCONJ
cana-4850	21	18	analyze	analyze	VERB
cana-4850	21	19	using	use	VERB
cana-4850	21	20	these	these	DET
cana-4850	21	21	methods	method	NOUN
cana-4850	21	22	[	[	X
cana-4850	21	23	5	5	NUM
cana-4850	21	24	]	]	PUNCT
cana-4850	21	25	.	.	PUNCT
cana-4850	22	1	the	the	DET
cana-4850	22	2	increasing	increase	VERB
cana-4850	22	3	demand	demand	NOUN
cana-4850	22	4	for	for	ADP
cana-4850	22	5	faster	fast	ADJ
cana-4850	22	6	and	and	CCONJ
cana-4850	22	7	more	more	ADJ
cana-4850	22	8	cost	cost	NOUN
cana-4850	22	9	-	-	PUNCT
cana-4850	22	10	effective	effective	ADJ
cana-4850	22	11	alternatives	alternative	NOUN
cana-4850	22	12	has	have	AUX
cana-4850	22	13	driven	drive	VERB
cana-4850	22	14	the	the	DET
cana-4850	22	15	development	development	NOUN
cana-4850	22	16	of	of	ADP
cana-4850	22	17	computational	computational	ADJ
cana-4850	22	18	approaches	approach	NOUN
cana-4850	22	19	to	to	PART
cana-4850	22	20	predict	predict	VERB
cana-4850	22	21	protein	protein	NOUN
cana-4850	22	22	structures	structure	NOUN
cana-4850	22	23	with	with	ADP
cana-4850	22	24	high	high	ADJ
cana-4850	22	25	accuracy	accuracy	NOUN
cana-4850	22	26	.	.	PUNCT
cana-4850	23	1	computational	computational	ADJ
cana-4850	23	2	methods	method	NOUN
cana-4850	23	3	for	for	ADP
cana-4850	23	4	protein	protein	NOUN
cana-4850	23	5	structure	structure	NOUN
cana-4850	23	6	prediction	prediction	NOUN
cana-4850	23	7	can	can	AUX
cana-4850	23	8	be	be	AUX
cana-4850	23	9	broadly	broadly	ADV
cana-4850	23	10	categorized	categorize	VERB
cana-4850	23	11	into	into	ADP
cana-4850	23	12	physicsbased	physicsbase	VERB
cana-4850	23	13	and	and	CCONJ
cana-4850	23	14	evolutionary	evolutionary	ADJ
cana-4850	23	15	-	-	PUNCT
cana-4850	23	16	based	base	VERB
cana-4850	23	17	approaches	approach	NOUN
cana-4850	23	18	.	.	PUNCT
cana-4850	24	1	physics	physics	NOUN
cana-4850	24	2	-	-	PUNCT
cana-4850	24	3	based	base	VERB
cana-4850	24	4	models	model	NOUN
cana-4850	24	5	simulate	simulate	VERB
cana-4850	24	6	protein	protein	NOUN
cana-4850	24	7	folding	folding	NOUN
cana-4850	24	8	based	base	VERB
cana-4850	24	9	on	on	ADP
cana-4850	24	10	molecular	molecular	ADJ
cana-4850	24	11	interactions	interaction	NOUN
cana-4850	24	12	,	,	PUNCT
cana-4850	24	13	energy	energy	NOUN
cana-4850	24	14	functions	function	NOUN
cana-4850	24	15	,	,	PUNCT
cana-4850	24	16	and	and	CCONJ
cana-4850	24	17	force	force	NOUN
cana-4850	24	18	fields	field	NOUN
cana-4850	24	19	,	,	PUNCT
cana-4850	24	20	attempting	attempt	VERB
cana-4850	24	21	to	to	PART
cana-4850	24	22	replicate	replicate	VERB
cana-4850	24	23	the	the	DET
cana-4850	24	24	folding	fold	VERB
cana-4850	24	25	process	process	NOUN
cana-4850	24	26	from	from	ADP
cana-4850	24	27	first	first	ADJ
cana-4850	24	28	principles	principle	NOUN
cana-4850	24	29	[	[	X
cana-4850	24	30	6]-[7	6]-[7	NOUN
cana-4850	24	31	]	]	X
cana-4850	24	32	.	.	PUNCT
cana-4850	25	1	these	these	DET
cana-4850	25	2	methods	method	NOUN
cana-4850	25	3	,	,	PUNCT
cana-4850	25	4	while	while	SCONJ
cana-4850	25	5	theoretically	theoretically	ADV
cana-4850	25	6	sound	sound	ADJ
cana-4850	25	7	,	,	PUNCT
cana-4850	25	8	require	require	VERB
cana-4850	25	9	extensive	extensive	ADJ
cana-4850	25	10	computational	computational	ADJ
cana-4850	25	11	power	power	NOUN
cana-4850	25	12	and	and	CCONJ
cana-4850	25	13	often	often	ADV
cana-4850	25	14	struggle	struggle	VERB
cana-4850	25	15	with	with	ADP
cana-4850	25	16	complex	complex	ADJ
cana-4850	25	17	proteins	protein	NOUN
cana-4850	25	18	.	.	PUNCT
cana-4850	26	1	in	in	ADP
cana-4850	26	2	contrast	contrast	NOUN
cana-4850	26	3	,	,	PUNCT
cana-4850	26	4	evolutionary	evolutionary	ADJ
cana-4850	26	5	-	-	PUNCT
cana-4850	26	6	based	base	VERB
cana-4850	26	7	approaches	approach	NOUN
cana-4850	26	8	leverage	leverage	NOUN
cana-4850	26	9	sequence	sequence	NOUN
cana-4850	26	10	homology	homology	NOUN
cana-4850	26	11	and	and	CCONJ
cana-4850	26	12	statistical	statistical	ADJ
cana-4850	26	13	patterns	pattern	NOUN
cana-4850	26	14	from	from	ADP
cana-4850	26	15	known	know	VERB
cana-4850	26	16	protein	protein	NOUN
cana-4850	26	17	databases	database	NOUN
cana-4850	26	18	to	to	PART
cana-4850	26	19	infer	infer	VERB
cana-4850	26	20	structural	structural	ADJ
cana-4850	26	21	information	information	NOUN
cana-4850	26	22	[	[	X
cana-4850	26	23	8	8	NUM
cana-4850	26	24	]	]	PUNCT
cana-4850	26	25	.	.	PUNCT
cana-4850	27	1	these	these	DET
cana-4850	27	2	techniques	technique	NOUN
cana-4850	27	3	are	be	AUX
cana-4850	27	4	highly	highly	ADV
cana-4850	27	5	effective	effective	ADJ
cana-4850	27	6	when	when	SCONJ
cana-4850	27	7	similar	similar	ADJ
cana-4850	27	8	protein	protein	NOUN
cana-4850	27	9	sequences	sequence	NOUN
cana-4850	27	10	are	be	AUX
cana-4850	27	11	available	available	ADJ
cana-4850	27	12	but	but	CCONJ
cana-4850	27	13	may	may	AUX
cana-4850	27	14	fail	fail	VERB
cana-4850	27	15	for	for	ADP
cana-4850	27	16	novel	novel	ADJ
cana-4850	27	17	proteins	protein	NOUN
cana-4850	27	18	lacking	lack	VERB
cana-4850	27	19	homologous	homologous	ADJ
cana-4850	27	20	templates	template	NOUN
cana-4850	27	21	[	[	X
cana-4850	27	22	9	9	NUM
cana-4850	27	23	]	]	PUNCT
cana-4850	27	24	.	.	PUNCT
cana-4850	28	1	the	the	DET
cana-4850	28	2	emergence	emergence	NOUN
cana-4850	28	3	of	of	ADP
cana-4850	28	4	machine	machine	NOUN
cana-4850	28	5	learning	learning	NOUN
cana-4850	28	6	and	and	CCONJ
cana-4850	28	7	deep	deep	ADJ
cana-4850	28	8	learning	learning	NOUN
cana-4850	28	9	has	have	AUX
cana-4850	28	10	significantly	significantly	ADV
cana-4850	28	11	transformed	transform	VERB
cana-4850	28	12	protein	protein	NOUN
cana-4850	28	13	structure	structure	NOUN
cana-4850	28	14	prediction	prediction	NOUN
cana-4850	28	15	.	.	PUNCT
cana-4850	29	1	by	by	ADP
cana-4850	29	2	training	train	VERB
cana-4850	29	3	neural	neural	ADJ
cana-4850	29	4	networks	network	NOUN
cana-4850	29	5	on	on	ADP
cana-4850	29	6	vast	vast	ADJ
cana-4850	29	7	protein	protein	NOUN
cana-4850	29	8	datasets	dataset	NOUN
cana-4850	29	9	,	,	PUNCT
cana-4850	29	10	these	these	DET
cana-4850	29	11	models	model	NOUN
cana-4850	29	12	can	can	AUX
cana-4850	29	13	capture	capture	VERB
cana-4850	29	14	intricate	intricate	ADJ
cana-4850	29	15	patterns	pattern	NOUN
cana-4850	29	16	in	in	ADP
cana-4850	29	17	amino	amino	NOUN
cana-4850	29	18	acid	acid	NOUN
cana-4850	29	19	sequences	sequence	NOUN
cana-4850	29	20	and	and	CCONJ
cana-4850	29	21	structural	structural	ADJ
cana-4850	29	22	properties	property	NOUN
cana-4850	29	23	.	.	PUNCT
cana-4850	30	1	the	the	DET
cana-4850	30	2	critical	critical	ADJ
cana-4850	30	3	assessment	assessment	NOUN
cana-4850	30	4	of	of	ADP
cana-4850	30	5	structure	structure	NOUN
cana-4850	30	6	prediction	prediction	NOUN
cana-4850	30	7	(	(	PUNCT
cana-4850	30	8	casp	casp	NOUN
cana-4850	30	9	)	)	PUNCT
cana-4850	30	10	competition	competition	NOUN
cana-4850	30	11	has	have	AUX
cana-4850	30	12	been	be	AUX
cana-4850	30	13	instrumental	instrumental	ADJ
cana-4850	30	14	in	in	ADP
cana-4850	30	15	benchmarking	benchmarke	VERB
cana-4850	30	16	advancements	advancement	NOUN
cana-4850	30	17	in	in	ADP
cana-4850	30	18	this	this	DET
cana-4850	30	19	field	field	NOUN
cana-4850	31	1	[	[	X
cana-4850	31	2	10]-[11	10]-[11	NUM
cana-4850	31	3	]	]	PUNCT
cana-4850	31	4	.	.	PUNCT
cana-4850	32	1	the	the	DET
cana-4850	32	2	breakthrough	breakthrough	ADJ
cana-4850	32	3	success	success	NOUN
cana-4850	32	4	of	of	ADP
cana-4850	32	5	deepmind	deepmind	PROPN
cana-4850	32	6	’s	’s	PART
cana-4850	32	7	alphafold2	alphafold2	NOUN
cana-4850	32	8	,	,	PUNCT
cana-4850	32	9	which	which	PRON
cana-4850	32	10	achieved	achieve	VERB
cana-4850	32	11	near	near	ADV
cana-4850	32	12	-	-	PUNCT
cana-4850	32	13	experimental	experimental	ADJ
cana-4850	32	14	accuracy	accuracy	NOUN
cana-4850	32	15	in	in	ADP
cana-4850	32	16	casp14	casp14	NOUN
cana-4850	32	17	with	with	ADP
cana-4850	32	18	a	a	DET
cana-4850	32	19	global	global	ADJ
cana-4850	32	20	distance	distance	NOUN
cana-4850	32	21	test	test	NOUN
cana-4850	32	22	(	(	PUNCT
cana-4850	32	23	gdt	gdt	NOUN
cana-4850	32	24	)	)	PUNCT
cana-4850	32	25	score	score	NOUN
cana-4850	32	26	of	of	ADP
cana-4850	32	27	approximately	approximately	ADV
cana-4850	32	28	90	90	NUM
cana-4850	32	29	%	%	NOUN
cana-4850	32	30	,	,	PUNCT
cana-4850	32	31	highlights	highlight	VERB
cana-4850	32	32	the	the	DET
cana-4850	32	33	potential	potential	NOUN
cana-4850	32	34	of	of	ADP
cana-4850	32	35	deep	deep	ADJ
cana-4850	32	36	learning	learning	NOUN
cana-4850	32	37	(	(	PUNCT
cana-4850	32	38	dl)-driven	dl)-driven	VERB
cana-4850	32	39	methods	method	NOUN
cana-4850	32	40	[	[	X
cana-4850	32	41	12	12	NUM
cana-4850	32	42	]	]	PUNCT
cana-4850	32	43	.	.	PUNCT
cana-4850	33	1	however	however	ADV
cana-4850	33	2	,	,	PUNCT
cana-4850	33	3	challenges	challenge	NOUN
cana-4850	33	4	remain	remain	VERB
cana-4850	33	5	,	,	PUNCT
cana-4850	33	6	particularly	particularly	ADV
cana-4850	33	7	in	in	ADP
cana-4850	33	8	predicting	predict	VERB
cana-4850	33	9	multi	multi	ADJ
cana-4850	33	10	-	-	ADJ
cana-4850	33	11	protein	protein	ADJ
cana-4850	33	12	interactions	interaction	NOUN
cana-4850	33	13	,	,	PUNCT
cana-4850	33	14	modeling	model	VERB
cana-4850	33	15	flexible	flexible	ADJ
cana-4850	33	16	regions	region	NOUN
cana-4850	33	17	,	,	PUNCT
cana-4850	33	18	and	and	CCONJ
cana-4850	33	19	incorporating	incorporate	VERB
cana-4850	33	20	environmental	environmental	ADJ
cana-4850	33	21	factors	factor	NOUN
cana-4850	33	22	such	such	ADJ
cana-4850	33	23	as	as	ADP
cana-4850	33	24	post	post	ADJ
cana-4850	33	25	-	-	ADJ
cana-4850	33	26	translational	translational	ADJ
cana-4850	33	27	modifications	modification	NOUN
cana-4850	33	28	.	.	PUNCT
cana-4850	34	1	a	a	DET
cana-4850	34	2	typical	typical	ADJ
cana-4850	34	3	structure	structure	NOUN
cana-4850	34	4	of	of	ADP
cana-4850	34	5	protein	protein	NOUN
cana-4850	34	6	is	be	AUX
cana-4850	34	7	shown	show	VERB
cana-4850	34	8	in	in	ADP
cana-4850	34	9	figure	figure	NOUN
cana-4850	34	10	1	1	NUM
cana-4850	34	11	.	.	PUNCT
cana-4850	34	12	numerous	numerous	ADJ
cana-4850	34	13	fields	field	NOUN
cana-4850	34	14	approach	approach	VERB
cana-4850	34	15	the	the	DET
cana-4850	34	16	challenge	challenge	NOUN
cana-4850	34	17	of	of	ADP
cana-4850	34	18	structuring	structure	VERB
cana-4850	34	19	proteins	protein	NOUN
cana-4850	34	20	prediction	prediction	NOUN
cana-4850	34	21	.	.	PUNCT
cana-4850	35	1	because	because	SCONJ
cana-4850	35	2	it	it	PRON
cana-4850	35	3	is	be	AUX
cana-4850	35	4	a	a	DET
cana-4850	35	5	prerequisite	prerequisite	NOUN
cana-4850	35	6	for	for	ADP
cana-4850	35	7	successfully	successfully	ADV
cana-4850	35	8	battling	battle	VERB
cana-4850	35	9	fresh	fresh	ADJ
cana-4850	35	10	proteins	protein	NOUN
cana-4850	35	11	models	model	NOUN
cana-4850	35	12	,	,	PUNCT
cana-4850	35	13	researchers	researcher	NOUN
cana-4850	35	14	were	be	AUX
cana-4850	35	15	captivated	captivate	VERB
cana-4850	35	16	by	by	ADP
cana-4850	35	17	the	the	DET
cana-4850	35	18	framework	framework	NOUN
cana-4850	35	19	prediction	prediction	NOUN
cana-4850	35	20	problem	problem	NOUN
cana-4850	35	21	[	[	X
cana-4850	35	22	13	13	NUM
cana-4850	35	23	]	]	PUNCT
cana-4850	35	24	.	.	PUNCT
cana-4850	36	1	creating	create	VERB
cana-4850	36	2	protein	protein	NOUN
cana-4850	36	3	patterns	pattern	NOUN
cana-4850	36	4	that	that	DET
cana-4850	36	5	coil	coil	NOUN
cana-4850	36	6	into	into	ADP
cana-4850	36	7	proteins	protein	NOUN
cana-4850	36	8	that	that	PRON
cana-4850	36	9	carry	carry	VERB
cana-4850	36	10	out	out	ADP
cana-4850	36	11	the	the	DET
cana-4850	36	12	desired	desire	VERB
cana-4850	36	13	functions	function	NOUN
cana-4850	36	14	is	be	AUX
cana-4850	36	15	the	the	DET
cana-4850	36	16	ultimate	ultimate	ADJ
cana-4850	36	17	goal	goal	NOUN
cana-4850	36	18	of	of	ADP
cana-4850	36	19	completely	completely	ADV
cana-4850	36	20	novel	novel	ADJ
cana-4850	36	21	protein	protein	NOUN
cana-4850	36	22	structure	structure	NOUN
cana-4850	36	23	.	.	PUNCT
cana-4850	37	1	within	within	ADP
cana-4850	37	2	the	the	DET
cana-4850	37	3	molecular	molecular	ADJ
cana-4850	37	4	level	level	NOUN
cana-4850	37	5	,	,	PUNCT
cana-4850	37	6	entirely	entirely	ADV
cana-4850	37	7	from	from	ADP
cana-4850	37	8	new	new	ADJ
cana-4850	37	9	protein	protein	NOUN
cana-4850	37	10	structure	structure	NOUN
cana-4850	37	11	can	can	AUX
cana-4850	37	12	be	be	AUX
cana-4850	37	13	thought	think	VERB
cana-4850	37	14	of	of	ADP
cana-4850	37	15	like	like	ADP
cana-4850	37	16	a	a	DET
cana-4850	37	17	design	design	NOUN
cana-4850	37	18	-	-	PUNCT
cana-4850	37	19	related	relate	VERB
cana-4850	37	20	problem	problem	NOUN
cana-4850	37	21	.	.	PUNCT
cana-4850	38	1	figure	figure	NOUN
cana-4850	38	2	1	1	NUM
cana-4850	38	3	:	:	PUNCT
cana-4850	38	4	typical	typical	ADJ
cana-4850	38	5	structure	structure	NOUN
cana-4850	38	6	of	of	ADP
cana-4850	38	7	protein	protein	NOUN
cana-4850	38	8	[	[	X
cana-4850	38	9	1	1	NUM
cana-4850	38	10	]	]	PUNCT
cana-4850	38	11	communications	communication	NOUN
cana-4850	38	12	on	on	ADP
cana-4850	38	13	applied	apply	VERB
cana-4850	38	14	nonlinear	nonlinear	ADJ
cana-4850	38	15	analysis	analysis	NOUN
cana-4850	38	16	issn	issn	NOUN
cana-4850	38	17	:	:	PUNCT
cana-4850	38	18	1074	1074	NUM
cana-4850	38	19	-	-	PUNCT
cana-4850	38	20	133x	133x	NUM
cana-4850	38	21	vol	vol	VERB
cana-4850	38	22	32	32	NUM
cana-4850	38	23	no	no	NOUN
cana-4850	38	24	.	.	PUNCT
cana-4850	39	1	10s	10	NOUN
cana-4850	39	2	(	(	PUNCT
cana-4850	39	3	2025	2025	NUM
cana-4850	39	4	)	)	PUNCT
cana-4850	39	5	622	622	NUM
cana-4850	39	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4850	39	7	the	the	DET
cana-4850	39	8	theoretically	theoretically	ADV
cana-4850	39	9	maximum	maximum	NOUN
cana-4850	39	10	of	of	ADP
cana-4850	39	11	the	the	DET
cana-4850	39	12	3	3	NUM
cana-4850	39	13	-	-	PUNCT
cana-4850	39	14	class	class	NOUN
cana-4850	39	15	secondary	secondary	ADJ
cana-4850	39	16	structure	structure	NOUN
cana-4850	39	17	of	of	ADP
cana-4850	39	18	proteins	protein	NOUN
cana-4850	39	19	predictions	prediction	NOUN
cana-4850	39	20	is	be	AUX
cana-4850	39	21	being	be	AUX
cana-4850	39	22	approached	approach	VERB
cana-4850	39	23	by	by	ADP
cana-4850	39	24	cutting	cut	VERB
cana-4850	39	25	-	-	PUNCT
cana-4850	39	26	edge	edge	NOUN
cana-4850	39	27	techniques	technique	NOUN
cana-4850	39	28	,	,	PUNCT
cana-4850	39	29	which	which	PRON
cana-4850	39	30	have	have	AUX
cana-4850	39	31	recently	recently	ADV
cana-4850	39	32	achieved	achieve	VERB
cana-4850	39	33	accuracy	accuracy	NOUN
cana-4850	39	34	scores	score	NOUN
cana-4850	39	35	of	of	ADP
cana-4850	39	36	nearly	nearly	ADV
cana-4850	39	37	89	89	NUM
cana-4850	39	38	%	%	NOUN
cana-4850	39	39	.	.	PUNCT
cana-4850	40	1	as	as	ADP
cana-4850	40	2	a	a	DET
cana-4850	40	3	result	result	NOUN
cana-4850	40	4	,	,	PUNCT
cana-4850	40	5	several	several	ADJ
cana-4850	40	6	academics	academic	NOUN
cana-4850	40	7	begin	begin	VERB
cana-4850	40	8	focusing	focus	VERB
cana-4850	40	9	on	on	ADP
cana-4850	40	10	more	more	ADV
cana-4850	40	11	difficult	difficult	ADJ
cana-4850	40	12	tasks	task	NOUN
cana-4850	40	13	,	,	PUNCT
cana-4850	40	14	such	such	ADJ
cana-4850	40	15	as	as	ADP
cana-4850	40	16	developing	develop	VERB
cana-4850	40	17	multitask	multitask	ADJ
cana-4850	40	18	categories	category	NOUN
cana-4850	40	19	for	for	ADP
cana-4850	40	20	predictions	prediction	NOUN
cana-4850	40	21	or	or	CCONJ
cana-4850	40	22	predicting	predict	VERB
cana-4850	40	23	the	the	DET
cana-4850	40	24	8	8	NUM
cana-4850	40	25	-	-	PUNCT
cana-4850	40	26	class	class	NOUN
cana-4850	40	27	secondary	secondary	ADJ
cana-4850	40	28	framework	framework	NOUN
cana-4850	40	29	.	.	PUNCT
cana-4850	41	1	employing	employ	VERB
cana-4850	41	2	sequential	sequential	ADJ
cana-4850	41	3	and	and	CCONJ
cana-4850	41	4	historical	historical	ADJ
cana-4850	41	5	data	datum	NOUN
cana-4850	41	6	,	,	PUNCT
cana-4850	41	7	malhotra	malhotra	PROPN
cana-4850	41	8	s.	s.	PROPN
cana-4850	41	9	et	et	PROPN
cana-4850	41	10	al	al	PROPN
cana-4850	41	11	.	.	PROPN
cana-4850	41	12	trained	train	VERB
cana-4850	41	13	one	one	NUM
cana-4850	41	14	artificial	artificial	ADJ
cana-4850	41	15	neural	neural	ADJ
cana-4850	41	16	network	network	NOUN
cana-4850	41	17	for	for	ADP
cana-4850	41	18	predicting	predict	VERB
cana-4850	41	19	several	several	ADJ
cana-4850	41	20	protein	protein	NOUN
cana-4850	41	21	attributes	attribute	NOUN
cana-4850	41	22	,	,	PUNCT
cana-4850	41	23	such	such	ADJ
cana-4850	41	24	as	as	ADP
cana-4850	41	25	solvent	solvent	ADJ
cana-4850	41	26	availability	availability	NOUN
cana-4850	41	27	and	and	CCONJ
cana-4850	41	28	protein	protein	NOUN
cana-4850	41	29	secondary	secondary	ADJ
cana-4850	41	30	structure	structure	NOUN
cana-4850	41	31	[	[	X
cana-4850	41	32	14	14	NUM
cana-4850	41	33	]	]	PUNCT
cana-4850	41	34	.	.	PUNCT
cana-4850	42	1	three	three	NUM
cana-4850	42	2	different	different	ADJ
cana-4850	42	3	types	type	NOUN
cana-4850	42	4	of	of	ADP
cana-4850	42	5	structural	structural	ADJ
cana-4850	42	6	features	feature	NOUN
cana-4850	42	7	are	be	AUX
cana-4850	42	8	predicted	predict	VERB
cana-4850	42	9	by	by	ADP
cana-4850	42	10	a	a	DET
cana-4850	42	11	deep	deep	ADJ
cana-4850	42	12	neural	neural	ADJ
cana-4850	42	13	network	network	NOUN
cana-4850	42	14	created	create	VERB
cana-4850	42	15	by	by	ADP
cana-4850	42	16	heffernan	heffernan	PROPN
cana-4850	42	17	et	et	PROPN
cana-4850	42	18	al	al	PROPN
cana-4850	42	19	.	.	PUNCT
cana-4850	43	1	[	[	X
cana-4850	43	2	15	15	NUM
cana-4850	43	3	]	]	X
cana-4850	43	4	:	:	PUNCT
cana-4850	43	5	solvents	solvent	NOUN
cana-4850	43	6	exposed	expose	VERB
cana-4850	43	7	surface	surface	NOUN
cana-4850	43	8	space	space	NOUN
cana-4850	43	9	,	,	PUNCT
cana-4850	43	10	torsional	torsional	ADJ
cana-4850	43	11	viewpoints	viewpoint	NOUN
cana-4850	43	12	,	,	PUNCT
cana-4850	43	13	c	c	NOUN
cana-4850	43	14	-	-	PUNCT
cana-4850	43	15	atom	atom	NOUN
cana-4850	43	16	related	relate	VERB
cana-4850	43	17	angles	angle	NOUN
cana-4850	43	18	and	and	CCONJ
cana-4850	43	19	the	the	DET
cana-4850	43	20	dihedral	dihedral	ADJ
cana-4850	43	21	viewpoints	viewpoint	NOUN
cana-4850	43	22	,	,	PUNCT
cana-4850	43	23	and	and	CCONJ
cana-4850	43	24	secondary	secondary	ADJ
cana-4850	43	25	structure	structure	NOUN
cana-4850	43	26	.	.	PUNCT
cana-4850	44	1	the	the	DET
cana-4850	44	2	quantity	quantity	NOUN
cana-4850	44	3	of	of	ADP
cana-4850	44	4	subsequent	subsequent	ADJ
cana-4850	44	5	amino	amino	NOUN
cana-4850	44	6	acid	acid	NOUN
cana-4850	44	7	sequence	sequence	NOUN
cana-4850	44	8	predictions	prediction	NOUN
cana-4850	44	9	articles	article	NOUN
cana-4850	44	10	is	be	AUX
cana-4850	44	11	displayed	display	VERB
cana-4850	44	12	in	in	ADP
cana-4850	44	13	figure	figure	NOUN
cana-4850	44	14	2	2	NUM
cana-4850	44	15	.	.	PUNCT
cana-4850	44	16	figure	figure	NOUN
cana-4850	44	17	2	2	NUM
cana-4850	44	18	:	:	PUNCT
cana-4850	44	19	year	year	NOUN
cana-4850	44	20	wise	wise	INTJ
cana-4850	44	21	no	no	PRON
cana-4850	44	22	of	of	ADP
cana-4850	44	23	publications	publication	NOUN
cana-4850	44	24	of	of	ADP
cana-4850	44	25	secondary	secondary	ADJ
cana-4850	44	26	protein	protein	NOUN
cana-4850	44	27	sequence	sequence	NOUN
cana-4850	44	28	prediction	prediction	NOUN
cana-4850	44	29	this	this	DET
cana-4850	44	30	review	review	NOUN
cana-4850	44	31	provides	provide	VERB
cana-4850	44	32	a	a	DET
cana-4850	44	33	comprehensive	comprehensive	ADJ
cana-4850	44	34	analysis	analysis	NOUN
cana-4850	44	35	of	of	ADP
cana-4850	44	36	protein	protein	NOUN
cana-4850	44	37	structure	structure	NOUN
cana-4850	44	38	prediction	prediction	NOUN
cana-4850	44	39	methods	method	NOUN
cana-4850	44	40	,	,	PUNCT
cana-4850	44	41	tracing	trace	VERB
cana-4850	44	42	the	the	DET
cana-4850	44	43	evolution	evolution	NOUN
cana-4850	44	44	from	from	ADP
cana-4850	44	45	traditional	traditional	ADJ
cana-4850	44	46	physics	physics	NOUN
cana-4850	44	47	-	-	PUNCT
cana-4850	44	48	based	base	VERB
cana-4850	44	49	simulations	simulation	NOUN
cana-4850	44	50	to	to	ADP
cana-4850	44	51	cutting	cut	VERB
cana-4850	44	52	-	-	PUNCT
cana-4850	44	53	edge	edge	NOUN
cana-4850	44	54	deep	deep	ADJ
cana-4850	44	55	learning	learning	NOUN
cana-4850	44	56	models	model	NOUN
cana-4850	44	57	.	.	PUNCT
cana-4850	45	1	it	it	PRON
cana-4850	45	2	explores	explore	VERB
cana-4850	45	3	the	the	DET
cana-4850	45	4	strengths	strength	NOUN
cana-4850	45	5	and	and	CCONJ
cana-4850	45	6	limitations	limitation	NOUN
cana-4850	45	7	of	of	ADP
cana-4850	45	8	existing	exist	VERB
cana-4850	45	9	techniques	technique	NOUN
cana-4850	45	10	,	,	PUNCT
cana-4850	45	11	the	the	DET
cana-4850	45	12	role	role	NOUN
cana-4850	45	13	of	of	ADP
cana-4850	45	14	artificial	artificial	ADJ
cana-4850	45	15	intelligence	intelligence	NOUN
cana-4850	45	16	in	in	ADP
cana-4850	45	17	overcoming	overcome	VERB
cana-4850	45	18	prediction	prediction	NOUN
cana-4850	45	19	challenges	challenge	NOUN
cana-4850	45	20	,	,	PUNCT
cana-4850	45	21	and	and	CCONJ
cana-4850	45	22	potential	potential	ADJ
cana-4850	45	23	future	future	ADJ
cana-4850	45	24	directions	direction	NOUN
cana-4850	45	25	in	in	ADP
cana-4850	45	26	protein	protein	NOUN
cana-4850	45	27	modeling	modeling	NOUN
cana-4850	45	28	.	.	PUNCT
cana-4850	46	1	by	by	ADP
cana-4850	46	2	addressing	address	VERB
cana-4850	46	3	the	the	DET
cana-4850	46	4	critical	critical	ADJ
cana-4850	46	5	gaps	gap	NOUN
cana-4850	46	6	in	in	ADP
cana-4850	46	7	current	current	ADJ
cana-4850	46	8	methodologies	methodology	NOUN
cana-4850	46	9	,	,	PUNCT
cana-4850	46	10	this	this	DET
cana-4850	46	11	study	study	NOUN
cana-4850	46	12	aims	aim	VERB
cana-4850	46	13	to	to	PART
cana-4850	46	14	contribute	contribute	VERB
cana-4850	46	15	to	to	ADP
cana-4850	46	16	the	the	DET
cana-4850	46	17	ongoing	ongoing	ADJ
cana-4850	46	18	advancements	advancement	NOUN
cana-4850	46	19	in	in	ADP
cana-4850	46	20	structural	structural	ADJ
cana-4850	46	21	bioinformatics	bioinformatic	NOUN
cana-4850	46	22	and	and	CCONJ
cana-4850	46	23	computational	computational	ADJ
cana-4850	46	24	biology	biology	NOUN
cana-4850	46	25	.	.	PUNCT
cana-4850	47	1	2	2	X
cana-4850	47	2	.	.	X
cana-4850	47	3	search	search	NOUN
cana-4850	47	4	strategy	strategy	NOUN
cana-4850	47	5	to	to	PART
cana-4850	47	6	identify	identify	VERB
cana-4850	47	7	relevant	relevant	ADJ
cana-4850	47	8	research	research	NOUN
cana-4850	47	9	on	on	ADP
cana-4850	47	10	secondary	secondary	ADJ
cana-4850	47	11	protein	protein	NOUN
cana-4850	47	12	sequence	sequence	NOUN
cana-4850	47	13	prediction	prediction	NOUN
cana-4850	47	14	,	,	PUNCT
cana-4850	47	15	a	a	DET
cana-4850	47	16	systematic	systematic	ADJ
cana-4850	47	17	search	search	NOUN
cana-4850	47	18	was	be	AUX
cana-4850	47	19	conducted	conduct	VERB
cana-4850	47	20	using	use	VERB
cana-4850	47	21	multiple	multiple	ADJ
cana-4850	47	22	databases	database	NOUN
cana-4850	47	23	,	,	PUNCT
cana-4850	47	24	including	include	VERB
cana-4850	47	25	ieee	ieee	PROPN
cana-4850	47	26	xplore	xplore	PROPN
cana-4850	47	27	,	,	PUNCT
cana-4850	47	28	pubmed	pubmed	PROPN
cana-4850	47	29	,	,	PUNCT
cana-4850	47	30	scopus	scopus	PROPN
cana-4850	47	31	.	.	PUNCT
cana-4850	48	1	the	the	DET
cana-4850	48	2	search	search	NOUN
cana-4850	48	3	spanned	span	VERB
cana-4850	48	4	papers	paper	NOUN
cana-4850	48	5	published	publish	VERB
cana-4850	48	6	between	between	ADP
cana-4850	48	7	2015	2015	NUM
cana-4850	48	8	and	and	CCONJ
cana-4850	48	9	2025	2025	NUM
cana-4850	48	10	,	,	PUNCT
cana-4850	48	11	focusing	focus	VERB
cana-4850	48	12	on	on	ADP
cana-4850	48	13	keywords	keyword	NOUN
cana-4850	48	14	such	such	ADJ
cana-4850	48	15	as	as	ADP
cana-4850	48	16	"	"	PUNCT
cana-4850	48	17	protein	protein	NOUN
cana-4850	48	18	sequence	sequence	NOUN
cana-4850	48	19	,	,	PUNCT
cana-4850	48	20	"	"	PUNCT
cana-4850	48	21	"	"	PUNCT
cana-4850	48	22	secondary	secondary	ADJ
cana-4850	48	23	protein	protein	NOUN
cana-4850	48	24	sequence	sequence	NOUN
cana-4850	48	25	,	,	PUNCT
cana-4850	48	26	"	"	PUNCT
cana-4850	48	27	"	"	PUNCT
cana-4850	48	28	artificial	artificial	ADJ
cana-4850	48	29	intelligence	intelligence	NOUN
cana-4850	48	30	,	,	PUNCT
cana-4850	48	31	"	"	PUNCT
cana-4850	48	32	"	"	PUNCT
cana-4850	48	33	deep	deep	ADJ
cana-4850	48	34	learning	learning	NOUN
cana-4850	48	35	,	,	PUNCT
cana-4850	48	36	"	"	PUNCT
cana-4850	48	37	and	and	CCONJ
cana-4850	48	38	"	"	PUNCT
cana-4850	48	39	machine	machine	NOUN
cana-4850	48	40	learning	learning	NOUN
cana-4850	48	41	.	.	PUNCT
cana-4850	48	42	"	"	PUNCT
cana-4850	49	1	inclusion	inclusion	NOUN
cana-4850	49	2	criteria	criterion	NOUN
cana-4850	49	3	prioritized	prioritize	VERB
cana-4850	49	4	studies	study	NOUN
cana-4850	49	5	that	that	PRON
cana-4850	49	6	presented	present	VERB
cana-4850	49	7	novel	novel	NOUN
cana-4850	49	8	ai	ai	NOUN
cana-4850	49	9	-	-	PUNCT
cana-4850	49	10	based	base	VERB
cana-4850	49	11	methodologies	methodology	NOUN
cana-4850	49	12	,	,	PUNCT
cana-4850	49	13	used	use	VERB
cana-4850	49	14	wellestablished	wellestablished	ADJ
cana-4850	49	15	datasets	dataset	NOUN
cana-4850	49	16	,	,	PUNCT
cana-4850	49	17	or	or	CCONJ
cana-4850	49	18	introduced	introduce	VERB
cana-4850	49	19	significant	significant	ADJ
cana-4850	49	20	advancements	advancement	NOUN
cana-4850	49	21	in	in	ADP
cana-4850	49	22	abnormal	abnormal	ADJ
cana-4850	49	23	event	event	NOUN
cana-4850	49	24	detection	detection	NOUN
cana-4850	49	25	.	.	PUNCT
cana-4850	50	1	exclusion	exclusion	NOUN
cana-4850	50	2	criteria	criterion	NOUN
cana-4850	50	3	filtered	filter	VERB
cana-4850	50	4	out	out	ADP
cana-4850	50	5	works	work	NOUN
cana-4850	50	6	unrelated	unrelated	ADJ
cana-4850	50	7	to	to	ADP
cana-4850	50	8	surveillance	surveillance	NOUN
cana-4850	50	9	systems	system	NOUN
cana-4850	50	10	,	,	PUNCT
cana-4850	50	11	non	non	ADJ
cana-4850	50	12	-	-	ADJ
cana-4850	50	13	ai	ai	ADJ
cana-4850	50	14	-	-	PUNCT
cana-4850	50	15	based	base	VERB
cana-4850	50	16	methods	method	NOUN
cana-4850	50	17	,	,	PUNCT
cana-4850	50	18	or	or	CCONJ
cana-4850	50	19	studies	study	NOUN
cana-4850	50	20	6	6	NUM
cana-4850	50	21	5	5	NUM
cana-4850	50	22	4	4	NUM
cana-4850	50	23	1	1	NUM
cana-4850	50	24	16	16	NUM
cana-4850	50	25	13	13	NUM
cana-4850	50	26	1	1	NUM
cana-4850	50	27	1	1	NUM
cana-4850	50	28	9	9	NUM
cana-4850	50	29	7	7	NUM
cana-4850	50	30	6	6	NUM
cana-4850	50	31	5	5	NUM
cana-4850	50	32	7	7	NUM
cana-4850	50	33	6	6	NUM
cana-4850	50	34	7	7	NUM
cana-4850	50	35	5	5	NUM
cana-4850	50	36	3	3	NUM
cana-4850	50	37	4	4	NUM
cana-4850	50	38	14	14	NUM
cana-4850	50	39	17	17	NUM
cana-4850	50	40	26	26	NUM
cana-4850	50	41	28	28	NUM
cana-4850	50	42	30	30	NUM
cana-4850	50	43	32	32	NUM
cana-4850	50	44	35	35	NUM
cana-4850	50	45	0	0	NUM
cana-4850	50	46	5	5	NUM
cana-4850	50	47	10	10	NUM
cana-4850	50	48	15	15	NUM
cana-4850	50	49	20	20	NUM
cana-4850	50	50	25	25	NUM
cana-4850	50	51	30	30	NUM
cana-4850	50	52	35	35	NUM
cana-4850	50	53	40	40	NUM
cana-4850	50	54	no	no	NOUN
cana-4850	50	55	of	of	ADP
cana-4850	50	56	publication	publication	NOUN
cana-4850	50	57	communications	communication	NOUN
cana-4850	50	58	on	on	ADP
cana-4850	50	59	applied	apply	VERB
cana-4850	50	60	nonlinear	nonlinear	ADJ
cana-4850	50	61	analysis	analysis	NOUN
cana-4850	50	62	issn	issn	NOUN
cana-4850	50	63	:	:	PUNCT
cana-4850	50	64	1074	1074	NUM
cana-4850	50	65	-	-	PUNCT
cana-4850	50	66	133x	133x	NUM
cana-4850	50	67	vol	vol	VERB
cana-4850	50	68	32	32	NUM
cana-4850	50	69	no	no	NOUN
cana-4850	50	70	.	.	PUNCT
cana-4850	51	1	10s	10	NOUN
cana-4850	51	2	(	(	PUNCT
cana-4850	51	3	2025	2025	NUM
cana-4850	51	4	)	)	PUNCT
cana-4850	51	5	623	623	NUM
cana-4850	51	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4850	51	7	lacking	lack	VERB
cana-4850	51	8	experimental	experimental	ADJ
cana-4850	51	9	validation	validation	NOUN
cana-4850	51	10	.	.	PUNCT
cana-4850	52	1	a	a	DET
cana-4850	52	2	meticulous	meticulous	ADJ
cana-4850	52	3	review	review	NOUN
cana-4850	52	4	of	of	ADP
cana-4850	52	5	abstracts	abstract	NOUN
cana-4850	52	6	and	and	CCONJ
cana-4850	52	7	full	full	ADJ
cana-4850	52	8	texts	text	NOUN
cana-4850	52	9	ensured	ensure	VERB
cana-4850	52	10	the	the	DET
cana-4850	52	11	selection	selection	NOUN
cana-4850	52	12	of	of	ADP
cana-4850	52	13	high	high	ADJ
cana-4850	52	14	-	-	PUNCT
cana-4850	52	15	quality	quality	NOUN
cana-4850	52	16	studies	study	NOUN
cana-4850	52	17	,	,	PUNCT
cana-4850	52	18	which	which	PRON
cana-4850	52	19	were	be	AUX
cana-4850	52	20	further	far	ADV
cana-4850	52	21	categorized	categorize	VERB
cana-4850	52	22	based	base	VERB
cana-4850	52	23	on	on	ADP
cana-4850	52	24	their	their	PRON
cana-4850	52	25	techniques	technique	NOUN
cana-4850	52	26	.	.	PUNCT
cana-4850	53	1	table	table	NOUN
cana-4850	53	2	1	1	NUM
cana-4850	53	3	:	:	PUNCT
cana-4850	53	4	keyword	keyword	NOUN
cana-4850	53	5	based	base	VERB
cana-4850	53	6	criteria	criterion	NOUN
cana-4850	53	7	basic	basic	ADJ
cana-4850	53	8	keywords	keyword	NOUN
cana-4850	53	9	“	"	PUNCT
cana-4850	53	10	protein	protein	NOUN
cana-4850	53	11	sequence	sequence	NOUN
cana-4850	53	12	”	"	PUNCT
cana-4850	53	13	“	"	PUNCT
cana-4850	53	14	direct	direct	ADJ
cana-4850	53	15	keywords	keyword	NOUN
cana-4850	53	16	”	"	PUNCT
cana-4850	53	17	“	"	PUNCT
cana-4850	53	18	deep	deep	ADJ
cana-4850	53	19	learning	learning	NOUN
cana-4850	53	20	”	"	PUNCT
cana-4850	53	21	“	"	PUNCT
cana-4850	53	22	machine	machine	NOUN
cana-4850	53	23	learning	learning	NOUN
cana-4850	53	24	”	"	PUNCT
cana-4850	53	25	“	"	PUNCT
cana-4850	53	26	artificial	artificial	ADJ
cana-4850	53	27	intelligence	intelligence	NOUN
cana-4850	53	28	”	"	PUNCT
cana-4850	53	29	“	"	PUNCT
cana-4850	53	30	indirect	indirect	ADJ
cana-4850	53	31	keywords	keyword	NOUN
cana-4850	53	32	”	"	PUNCT
cana-4850	53	33	“	"	PUNCT
cana-4850	53	34	secondary	secondary	ADJ
cana-4850	53	35	protein	protein	NOUN
cana-4850	53	36	sequence	sequence	NOUN
cana-4850	53	37	”	"	PUNCT
cana-4850	53	38	“	"	PUNCT
cana-4850	53	39	amino	amino	NOUN
cana-4850	53	40	acid	acid	NOUN
cana-4850	53	41	sequence	sequence	NOUN
cana-4850	53	42	”	"	PUNCT
cana-4850	53	43	“	"	PUNCT
cana-4850	53	44	peptide	peptide	NOUN
cana-4850	53	45	prediction	prediction	NOUN
cana-4850	53	46	”	"	PUNCT
cana-4850	53	47	“	"	PUNCT
cana-4850	53	48	protein	protein	NOUN
cana-4850	53	49	secondary	secondary	ADJ
cana-4850	53	50	sequence	sequence	NOUN
cana-4850	53	51	prediction	prediction	NOUN
cana-4850	53	52	”	"	PUNCT
cana-4850	53	53	inclusion	inclusion	NOUN
cana-4850	53	54	and	and	CCONJ
cana-4850	53	55	exclusion	exclusion	NOUN
cana-4850	53	56	criteria	criterion	NOUN
cana-4850	53	57	a	a	DET
cana-4850	53	58	number	number	NOUN
cana-4850	53	59	of	of	ADP
cana-4850	53	60	analysis	analysis	NOUN
cana-4850	53	61	processes	process	NOUN
cana-4850	53	62	were	be	AUX
cana-4850	53	63	created	create	VERB
cana-4850	53	64	to	to	PART
cana-4850	53	65	select	select	VERB
cana-4850	53	66	pertinent	pertinent	ADJ
cana-4850	53	67	academic	academic	ADJ
cana-4850	53	68	publications	publication	NOUN
cana-4850	53	69	for	for	ADP
cana-4850	53	70	the	the	DET
cana-4850	53	71	research	research	NOUN
cana-4850	53	72	evaluation	evaluation	NOUN
cana-4850	53	73	and	and	CCONJ
cana-4850	53	74	eliminate	eliminate	VERB
cana-4850	53	75	criteria	criterion	NOUN
cana-4850	53	76	for	for	ADP
cana-4850	53	77	investigation	investigation	NOUN
cana-4850	53	78	exclusions	exclusion	NOUN
cana-4850	53	79	.	.	PUNCT
cana-4850	54	1	the	the	DET
cana-4850	54	2	screening	screening	NOUN
cana-4850	54	3	process	process	NOUN
cana-4850	54	4	uses	use	VERB
cana-4850	54	5	three	three	NUM
cana-4850	54	6	terms	term	NOUN
cana-4850	54	7	for	for	ADP
cana-4850	54	8	inclusion	inclusion	NOUN
cana-4850	54	9	standards	standard	NOUN
cana-4850	54	10	.	.	PUNCT
cana-4850	55	1	inclusion	inclusion	NOUN
cana-4850	55	2	:	:	PUNCT
cana-4850	55	3	papers	paper	NOUN
cana-4850	55	4	published	publish	VERB
cana-4850	55	5	between	between	ADP
cana-4850	55	6	2015–2025	2015–2025	NUM
cana-4850	55	7	focusing	focus	VERB
cana-4850	55	8	on	on	ADP
cana-4850	55	9	ai	ai	NOUN
cana-4850	55	10	-	-	PUNCT
cana-4850	55	11	based	base	VERB
cana-4850	55	12	methods	method	NOUN
cana-4850	55	13	.	.	PUNCT
cana-4850	56	1	exclusion	exclusion	NOUN
cana-4850	56	2	:	:	PUNCT
cana-4850	56	3	studies	study	NOUN
cana-4850	56	4	not	not	PART
cana-4850	56	5	directly	directly	ADV
cana-4850	56	6	related	relate	VERB
cana-4850	56	7	to	to	ADP
cana-4850	56	8	secondary	secondary	ADJ
cana-4850	56	9	protein	protein	NOUN
cana-4850	56	10	sequence	sequence	NOUN
cana-4850	56	11	prediction	prediction	NOUN
cana-4850	56	12	.	.	PUNCT
cana-4850	57	1	figure	figure	NOUN
cana-4850	57	2	3	3	NUM
cana-4850	57	3	:	:	PUNCT
cana-4850	57	4	prisma	prisma	NOUN
cana-4850	57	5	approach	approach	NOUN
cana-4850	57	6	communications	communication	NOUN
cana-4850	57	7	on	on	ADP
cana-4850	57	8	applied	apply	VERB
cana-4850	57	9	nonlinear	nonlinear	ADJ
cana-4850	57	10	analysis	analysis	NOUN
cana-4850	57	11	issn	issn	NOUN
cana-4850	57	12	:	:	PUNCT
cana-4850	57	13	1074	1074	NUM
cana-4850	57	14	-	-	PUNCT
cana-4850	57	15	133x	133x	NUM
cana-4850	57	16	vol	vol	VERB
cana-4850	57	17	32	32	NUM
cana-4850	57	18	no	no	NOUN
cana-4850	57	19	.	.	PUNCT
cana-4850	58	1	10s	10	NOUN
cana-4850	58	2	(	(	PUNCT
cana-4850	58	3	2025	2025	NUM
cana-4850	58	4	)	)	PUNCT
cana-4850	58	5	624	624	NUM
cana-4850	58	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4850	58	7	3	3	X
cana-4850	58	8	.	.	PUNCT
cana-4850	58	9	background	background	NOUN
cana-4850	58	10	of	of	ADP
cana-4850	58	11	protein	protein	NOUN
cana-4850	58	12	structure	structure	NOUN
cana-4850	58	13	there	there	PRON
cana-4850	58	14	is	be	VERB
cana-4850	58	15	a	a	DET
cana-4850	58	16	computational	computational	ADJ
cana-4850	58	17	strategy	strategy	NOUN
cana-4850	58	18	which	which	PRON
cana-4850	58	19	can	can	AUX
cana-4850	58	20	be	be	AUX
cana-4850	58	21	broadly	broadly	ADV
cana-4850	58	22	classified	classify	VERB
cana-4850	58	23	into	into	ADP
cana-4850	58	24	two	two	NUM
cana-4850	58	25	groups	group	NOUN
cana-4850	58	26	:	:	PUNCT
cana-4850	58	27	(	(	PUNCT
cana-4850	58	28	a	a	X
cana-4850	58	29	)	)	PUNCT
cana-4850	58	30	those	those	PRON
cana-4850	58	31	that	that	PRON
cana-4850	58	32	employ	employ	VERB
cana-4850	58	33	physical	physical	ADJ
cana-4850	58	34	theories	theory	NOUN
cana-4850	58	35	and	and	CCONJ
cana-4850	58	36	(	(	PUNCT
cana-4850	58	37	b	b	X
cana-4850	58	38	)	)	PUNCT
cana-4850	58	39	those	those	PRON
cana-4850	58	40	depending	depend	VERB
cana-4850	58	41	on	on	ADP
cana-4850	58	42	evolutionary	evolutionary	ADJ
cana-4850	58	43	concepts	concept	NOUN
cana-4850	58	44	.	.	PUNCT
cana-4850	59	1	the	the	DET
cana-4850	59	2	evolution	evolution	NOUN
cana-4850	59	3	of	of	ADP
cana-4850	59	4	predicting	predict	VERB
cana-4850	59	5	protein	protein	NOUN
cana-4850	59	6	structure	structure	NOUN
cana-4850	59	7	across	across	ADP
cana-4850	59	8	the	the	DET
cana-4850	59	9	two	two	NUM
cana-4850	59	10	groups	group	NOUN
cana-4850	59	11	using	use	VERB
cana-4850	59	12	different	different	ADJ
cana-4850	59	13	statistical	statistical	ADJ
cana-4850	59	14	ml	ml	NOUN
cana-4850	59	15	and	and	CCONJ
cana-4850	59	16	dl	dl	PROPN
cana-4850	59	17	techniques	technique	NOUN
cana-4850	59	18	.	.	PUNCT
cana-4850	60	1	employing	employ	VERB
cana-4850	60	2	molecular	molecular	ADJ
cana-4850	60	3	interactions	interaction	NOUN
cana-4850	60	4	based	base	VERB
cana-4850	60	5	on	on	ADP
cana-4850	60	6	a	a	DET
cana-4850	60	7	force	force	NOUN
cana-4850	60	8	area	area	NOUN
cana-4850	60	9	's	's	PART
cana-4850	60	10	prospective	prospective	ADJ
cana-4850	60	11	energy	energy	NOUN
cana-4850	60	12	at	at	ADP
cana-4850	60	13	a	a	DET
cana-4850	60	14	specific	specific	ADJ
cana-4850	60	15	moment	moment	NOUN
cana-4850	60	16	or	or	CCONJ
cana-4850	60	17	fragmentation	fragmentation	NOUN
cana-4850	60	18	assembling	assemble	VERB
cana-4850	60	19	employing	employ	VERB
cana-4850	60	20	the	the	DET
cana-4850	60	21	power	power	NOUN
cana-4850	60	22	function	function	NOUN
cana-4850	60	23	to	to	PART
cana-4850	60	24	create	create	VERB
cana-4850	60	25	a	a	DET
cana-4850	60	26	power	power	NOUN
cana-4850	60	27	-	-	PUNCT
cana-4850	60	28	stable	stable	ADJ
cana-4850	60	29	three	three	NUM
cana-4850	60	30	-	-	PUNCT
cana-4850	60	31	dimensional	dimensional	ADJ
cana-4850	60	32	framework	framework	NOUN
cana-4850	60	33	,	,	PUNCT
cana-4850	60	34	the	the	DET
cana-4850	60	35	physics	physics	NOUN
cana-4850	60	36	-	-	PUNCT
cana-4850	60	37	based	base	VERB
cana-4850	60	38	method	method	NOUN
cana-4850	60	39	mimics	mimic	VERB
cana-4850	60	40	the	the	DET
cana-4850	60	41	folding	fold	VERB
cana-4850	60	42	operation	operation	NOUN
cana-4850	60	43	of	of	ADP
cana-4850	60	44	amino	amino	NOUN
cana-4850	60	45	acid	acid	NOUN
cana-4850	60	46	chains	chain	NOUN
cana-4850	60	47	.	.	PUNCT
cana-4850	61	1	however	however	ADV
cana-4850	61	2	,	,	PUNCT
cana-4850	61	3	fragments	fragment	NOUN
cana-4850	61	4	assembly	assembly	NOUN
cana-4850	61	5	gets	get	VERB
cana-4850	61	6	reasonable	reasonable	ADJ
cana-4850	61	7	precision	precision	NOUN
cana-4850	61	8	if	if	SCONJ
cana-4850	61	9	it	it	PRON
cana-4850	61	10	includes	include	VERB
cana-4850	61	11	knowledge	knowledge	NOUN
cana-4850	61	12	about	about	ADP
cana-4850	61	13	protein	protein	NOUN
cana-4850	61	14	comparable	comparable	ADJ
cana-4850	61	15	,	,	PUNCT
cana-4850	61	16	whereas	whereas	SCONJ
cana-4850	61	17	molecular	molecular	ADJ
cana-4850	61	18	structure	structure	NOUN
cana-4850	61	19	works	work	VERB
cana-4850	61	20	best	good	ADJ
cana-4850	61	21	for	for	ADP
cana-4850	61	22	tiny	tiny	ADJ
cana-4850	61	23	proteins	protein	NOUN
cana-4850	61	24	[	[	X
cana-4850	61	25	16	16	NUM
cana-4850	61	26	]	]	PUNCT
cana-4850	61	27	.	.	PUNCT
cana-4850	62	1	an	an	DET
cana-4850	62	2	evolutionary	evolutionary	ADJ
cana-4850	62	3	theory	theory	NOUN
cana-4850	62	4	that	that	PRON
cana-4850	62	5	is	be	AUX
cana-4850	62	6	predicated	predicate	VERB
cana-4850	62	7	on	on	ADP
cana-4850	62	8	the	the	DET
cana-4850	62	9	idea	idea	NOUN
cana-4850	62	10	that	that	SCONJ
cana-4850	62	11	every	every	DET
cana-4850	62	12	organism	organism	NOUN
cana-4850	62	13	shared	share	VERB
cana-4850	62	14	a	a	DET
cana-4850	62	15	predecessor	predecessor	NOUN
cana-4850	62	16	and	and	CCONJ
cana-4850	62	17	subsequently	subsequently	ADV
cana-4850	62	18	developed	develop	VERB
cana-4850	62	19	as	as	ADP
cana-4850	62	20	a	a	DET
cana-4850	62	21	result	result	NOUN
cana-4850	62	22	of	of	ADP
cana-4850	62	23	environmental	environmental	ADJ
cana-4850	62	24	adaption	adaption	NOUN
cana-4850	62	25	.	.	PUNCT
cana-4850	63	1	the	the	DET
cana-4850	63	2	protein	protein	NOUN
cana-4850	63	3	structure	structure	NOUN
cana-4850	63	4	gets	get	AUX
cana-4850	63	5	modified	modify	VERB
cana-4850	63	6	in	in	ADP
cana-4850	63	7	this	this	DET
cana-4850	63	8	modification	modification	NOUN
cana-4850	63	9	to	to	PART
cana-4850	63	10	enable	enable	VERB
cana-4850	63	11	the	the	DET
cana-4850	63	12	best	good	ADJ
cana-4850	63	13	possible	possible	ADJ
cana-4850	63	14	function	function	NOUN
cana-4850	63	15	.	.	PUNCT
cana-4850	64	1	the	the	DET
cana-4850	64	2	necessary	necessary	ADJ
cana-4850	64	3	amino	amino	NOUN
cana-4850	64	4	acids	acid	NOUN
cana-4850	64	5	remain	remain	VERB
cana-4850	64	6	unchanged	unchanged	ADJ
cana-4850	64	7	whenever	whenever	SCONJ
cana-4850	64	8	the	the	DET
cana-4850	64	9	structure	structure	NOUN
cana-4850	64	10	changes	change	VERB
cana-4850	64	11	.	.	PUNCT
cana-4850	65	1	dna	dna	PROPN
cana-4850	65	2	is	be	AUX
cana-4850	65	3	the	the	DET
cana-4850	65	4	process	process	NOUN
cana-4850	65	5	wherein	wherein	SCONJ
cana-4850	65	6	only	only	ADV
cana-4850	65	7	the	the	DET
cana-4850	65	8	vital	vital	ADJ
cana-4850	65	9	and	and	CCONJ
cana-4850	65	10	enabling	enable	VERB
cana-4850	65	11	amino	amino	NOUN
cana-4850	65	12	acids	acid	NOUN
cana-4850	65	13	alter	alter	NOUN
cana-4850	65	14	to	to	PART
cana-4850	65	15	conform	conform	VERB
cana-4850	65	16	to	to	ADP
cana-4850	65	17	the	the	DET
cana-4850	65	18	physicochemical	physicochemical	ADJ
cana-4850	65	19	conditions	condition	NOUN
cana-4850	65	20	whereby	whereby	SCONJ
cana-4850	65	21	the	the	DET
cana-4850	65	22	protein	protein	NOUN
cana-4850	65	23	needs	need	VERB
cana-4850	65	24	exist	exist	VERB
cana-4850	65	25	.	.	PUNCT
cana-4850	66	1	nevertheless	nevertheless	ADV
cana-4850	66	2	,	,	PUNCT
cana-4850	66	3	this	this	DET
cana-4850	66	4	method	method	NOUN
cana-4850	66	5	necessitates	necessitate	VERB
cana-4850	66	6	comparable	comparable	ADJ
cana-4850	66	7	sequence	sequence	NOUN
cana-4850	66	8	data	datum	NOUN
cana-4850	66	9	,	,	PUNCT
cana-4850	66	10	making	make	VERB
cana-4850	66	11	it	it	PRON
cana-4850	66	12	challenging	challenging	ADJ
cana-4850	66	13	to	to	PART
cana-4850	66	14	ascertain	ascertain	VERB
cana-4850	66	15	the	the	DET
cana-4850	66	16	structure	structure	NOUN
cana-4850	66	17	of	of	ADP
cana-4850	66	18	an	an	DET
cana-4850	66	19	entirely	entirely	ADV
cana-4850	66	20	novel	novel	ADJ
cana-4850	66	21	protein	protein	NOUN
cana-4850	66	22	.	.	PUNCT
cana-4850	67	1	it	it	PRON
cana-4850	67	2	is	be	AUX
cana-4850	67	3	also	also	ADV
cana-4850	67	4	challenging	challenge	VERB
cana-4850	67	5	to	to	PART
cana-4850	67	6	examine	examine	VERB
cana-4850	67	7	how	how	SCONJ
cana-4850	67	8	variations	variation	NOUN
cana-4850	67	9	affect	affect	VERB
cana-4850	67	10	function	function	NOUN
cana-4850	67	11	using	use	VERB
cana-4850	67	12	this	this	DET
cana-4850	67	13	method	method	NOUN
cana-4850	67	14	.	.	PUNCT
cana-4850	68	1	physic	physic	NOUN
cana-4850	68	2	-	-	PUNCT
cana-4850	68	3	based	base	VERB
cana-4850	68	4	methods	method	NOUN
cana-4850	68	5	:	:	PUNCT
cana-4850	68	6	creating	create	VERB
cana-4850	68	7	energy	energy	NOUN
cana-4850	68	8	functions	function	NOUN
cana-4850	68	9	that	that	PRON
cana-4850	68	10	direct	direct	VERB
cana-4850	68	11	the	the	DET
cana-4850	68	12	behavior	behavior	NOUN
cana-4850	68	13	of	of	ADP
cana-4850	68	14	proteins	protein	NOUN
cana-4850	68	15	in	in	ADP
cana-4850	68	16	the	the	DET
cana-4850	68	17	conformational	conformational	ADJ
cana-4850	68	18	domain	domain	NOUN
cana-4850	68	19	as	as	SCONJ
cana-4850	68	20	it	it	PRON
cana-4850	68	21	moves	move	VERB
cana-4850	68	22	from	from	ADP
cana-4850	68	23	unfolding	unfold	VERB
cana-4850	68	24	to	to	ADP
cana-4850	68	25	the	the	DET
cana-4850	68	26	folding	fold	VERB
cana-4850	68	27	phase	phase	NOUN
cana-4850	68	28	is	be	AUX
cana-4850	68	29	a	a	DET
cana-4850	68	30	common	common	ADJ
cana-4850	68	31	practice	practice	NOUN
cana-4850	68	32	in	in	ADP
cana-4850	68	33	physics	physics	NOUN
cana-4850	68	34	-	-	PUNCT
cana-4850	68	35	based	base	VERB
cana-4850	68	36	approaches	approach	NOUN
cana-4850	68	37	to	to	ADP
cana-4850	68	38	protein	protein	NOUN
cana-4850	68	39	folding	folding	NOUN
cana-4850	68	40	.	.	PUNCT
cana-4850	69	1	the	the	DET
cana-4850	69	2	first	first	ADJ
cana-4850	69	3	principle	principle	ADJ
cana-4850	69	4	atomistic	atomistic	ADJ
cana-4850	69	5	force	force	NOUN
cana-4850	69	6	field	field	NOUN
cana-4850	69	7	[	[	X
cana-4850	69	8	17]-[18	17]-[18	NUM
cana-4850	69	9	]	]	PUNCT
cana-4850	69	10	was	be	AUX
cana-4850	69	11	used	use	VERB
cana-4850	69	12	in	in	ADP
cana-4850	69	13	a	a	DET
cana-4850	69	14	number	number	NOUN
cana-4850	69	15	of	of	ADP
cana-4850	69	16	methods	method	NOUN
cana-4850	69	17	over	over	ADP
cana-4850	69	18	the	the	DET
cana-4850	69	19	past	past	ADJ
cana-4850	69	20	several	several	ADJ
cana-4850	69	21	decades	decade	NOUN
cana-4850	69	22	to	to	PART
cana-4850	69	23	develop	develop	VERB
cana-4850	69	24	performance	performance	NOUN
cana-4850	69	25	measures	measure	NOUN
cana-4850	69	26	[	[	X
cana-4850	69	27	19][20	19][20	X
cana-4850	69	28	]	]	X
cana-4850	69	29	,	,	PUNCT
cana-4850	69	30	and	and	CCONJ
cana-4850	69	31	protein	protein	NOUN
cana-4850	69	32	modeling	modeling	NOUN
cana-4850	69	33	[	[	X
cana-4850	69	34	21]-[22	21]-[22	NOUN
cana-4850	69	35	]	]	PUNCT
cana-4850	69	36	to	to	PART
cana-4850	69	37	establish	establish	VERB
cana-4850	69	38	a	a	DET
cana-4850	69	39	coarse	coarse	ADV
cana-4850	69	40	-	-	PUNCT
cana-4850	69	41	grained	grain	VERB
cana-4850	69	42	method	method	NOUN
cana-4850	69	43	.	.	PUNCT
cana-4850	70	1	in	in	ADP
cana-4850	70	2	this	this	DET
cana-4850	70	3	situation	situation	NOUN
cana-4850	70	4	,	,	PUNCT
cana-4850	70	5	performance	performance	NOUN
cana-4850	70	6	measures	measure	NOUN
cana-4850	70	7	that	that	PRON
cana-4850	70	8	take	take	VERB
cana-4850	70	9	into	into	ADP
cana-4850	70	10	consideration	consideration	NOUN
cana-4850	70	11	multibody	multibody	ADJ
cana-4850	70	12	factors	factor	NOUN
cana-4850	70	13	which	which	PRON
cana-4850	70	14	are	be	AUX
cana-4850	70	15	difficult	difficult	ADJ
cana-4850	70	16	to	to	PART
cana-4850	70	17	predict	predict	VERB
cana-4850	70	18	theoretically	theoretically	ADV
cana-4850	70	19	can	can	AUX
cana-4850	70	20	be	be	AUX
cana-4850	70	21	designed	design	VERB
cana-4850	70	22	with	with	ADP
cana-4850	70	23	the	the	DET
cana-4850	70	24	use	use	NOUN
cana-4850	70	25	of	of	ADP
cana-4850	70	26	neural	neural	ADJ
cana-4850	70	27	network	network	NOUN
cana-4850	70	28	models	model	NOUN
cana-4850	70	29	.	.	PUNCT
cana-4850	71	1	the	the	DET
cana-4850	71	2	model	model	NOUN
cana-4850	71	3	is	be	AUX
cana-4850	71	4	trained	train	VERB
cana-4850	71	5	on	on	ADP
cana-4850	71	6	amino	amino	NOUN
cana-4850	71	7	acid	acid	NOUN
cana-4850	71	8	strands	strand	NOUN
cana-4850	71	9	having	have	VERB
cana-4850	71	10	any	any	DET
cana-4850	71	11	knowledge	knowledge	NOUN
cana-4850	71	12	of	of	ADP
cana-4850	71	13	their	their	PRON
cana-4850	71	14	architecture	architecture	NOUN
cana-4850	71	15	in	in	ADP
cana-4850	71	16	order	order	NOUN
cana-4850	71	17	to	to	PART
cana-4850	71	18	predict	predict	VERB
cana-4850	71	19	the	the	DET
cana-4850	71	20	interactions	interaction	NOUN
cana-4850	71	21	across	across	ADP
cana-4850	71	22	acids	acid	NOUN
cana-4850	71	23	in	in	ADP
cana-4850	71	24	an	an	DET
cana-4850	71	25	unsupervised	unsupervised	ADJ
cana-4850	71	26	manner	manner	NOUN
cana-4850	71	27	.	.	PUNCT
cana-4850	72	1	direct	direct	ADJ
cana-4850	72	2	coupling	coupling	NOUN
cana-4850	72	3	investigation	investigation	NOUN
cana-4850	72	4	,	,	PUNCT
cana-4850	72	5	a	a	DET
cana-4850	72	6	methodology	methodology	NOUN
cana-4850	72	7	that	that	PRON
cana-4850	72	8	uses	use	VERB
cana-4850	72	9	markov	markov	NOUN
cana-4850	72	10	random	random	ADJ
cana-4850	72	11	fields	field	NOUN
cana-4850	72	12	toward	toward	ADP
cana-4850	72	13	the	the	DET
cana-4850	72	14	msa	msa	PROPN
cana-4850	72	15	underneath	underneath	ADP
cana-4850	72	16	a	a	DET
cana-4850	72	17	protein	protein	NOUN
cana-4850	72	18	strand	strand	NOUN
cana-4850	72	19	,	,	PUNCT
cana-4850	72	20	is	be	AUX
cana-4850	72	21	the	the	DET
cana-4850	72	22	main	main	ADJ
cana-4850	72	23	method	method	NOUN
cana-4850	72	24	for	for	ADP
cana-4850	72	25	examining	examine	VERB
cana-4850	72	26	how	how	SCONJ
cana-4850	72	27	evolution	evolution	NOUN
cana-4850	72	28	determines	determine	VERB
cana-4850	72	29	limits	limit	NOUN
cana-4850	72	30	among	among	ADP
cana-4850	72	31	collections	collection	NOUN
cana-4850	72	32	of	of	ADP
cana-4850	72	33	comparable	comparable	ADJ
cana-4850	72	34	protein	protein	NOUN
cana-4850	72	35	sequences	sequence	NOUN
cana-4850	72	36	.	.	PUNCT
cana-4850	73	1	a	a	DET
cana-4850	73	2	number	number	NOUN
cana-4850	73	3	of	of	ADP
cana-4850	73	4	research	research	NOUN
cana-4850	73	5	have	have	AUX
cana-4850	73	6	suggested	suggest	VERB
cana-4850	73	7	replacing	replace	VERB
cana-4850	73	8	shallow	shallow	ADJ
cana-4850	73	9	markov	markov	NOUN
cana-4850	73	10	random	random	ADJ
cana-4850	73	11	fields	field	NOUN
cana-4850	73	12	(	(	PUNCT
cana-4850	73	13	mrf	mrf	NOUN
cana-4850	73	14	)	)	PUNCT
cana-4850	73	15	model	model	PROPN
cana-4850	73	16	.	.	PUNCT
cana-4850	74	1	riesselman	riesselman	PROPN
cana-4850	74	2	et	et	PROPN
cana-4850	74	3	al	al	PROPN
cana-4850	74	4	.	.	PROPN
cana-4850	74	5	demonstrated	demonstrate	VERB
cana-4850	74	6	that	that	SCONJ
cana-4850	74	7	protein	protein	NOUN
cana-4850	74	8	functionality	functionality	NOUN
cana-4850	74	9	may	may	AUX
cana-4850	74	10	be	be	AUX
cana-4850	74	11	determined	determine	VERB
cana-4850	74	12	from	from	ADP
cana-4850	74	13	inconsistent	inconsistent	ADJ
cana-4850	74	14	sequences	sequence	NOUN
cana-4850	74	15	by	by	ADP
cana-4850	74	16	training	train	VERB
cana-4850	74	17	an	an	DET
cana-4850	74	18	autoregressive	autoregressive	ADJ
cana-4850	74	19	model	model	NOUN
cana-4850	74	20	over	over	ADP
cana-4850	74	21	msa	msa	PROPN
cana-4850	74	22	while	while	SCONJ
cana-4850	74	23	ignoring	ignore	VERB
cana-4850	74	24	sequence	sequence	NOUN
cana-4850	74	25	[	[	X
cana-4850	74	26	23	23	NUM
cana-4850	74	27	]	]	PUNCT
cana-4850	74	28	.	.	PUNCT
cana-4850	75	1	instead	instead	ADV
cana-4850	75	2	of	of	ADP
cana-4850	75	3	using	use	VERB
cana-4850	75	4	a	a	DET
cana-4850	75	5	complete	complete	ADJ
cana-4850	75	6	framework	framework	NOUN
cana-4850	75	7	for	for	ADP
cana-4850	75	8	obtaining	obtain	VERB
cana-4850	75	9	interaction	interaction	NOUN
cana-4850	75	10	proteins	protein	NOUN
cana-4850	75	11	,	,	PUNCT
cana-4850	75	12	riesselman	riesselman	NOUN
cana-4850	75	13	et	et	PROPN
cana-4850	75	14	al	al	PROPN
cana-4850	75	15	.	.	PUNCT
cana-4850	76	1	[	[	X
cana-4850	76	2	23	23	NUM
cana-4850	76	3	]	]	PUNCT
cana-4850	76	4	only	only	ADV
cana-4850	76	5	employed	employ	VERB
cana-4850	76	6	a	a	DET
cana-4850	76	7	set	set	NOUN
cana-4850	76	8	of	of	ADP
cana-4850	76	9	associated	associated	ADJ
cana-4850	76	10	segments	segment	NOUN
cana-4850	76	11	,	,	PUNCT
cana-4850	76	12	relative	relative	ADJ
cana-4850	76	13	to	to	PART
cana-4850	76	14	study	study	VERB
cana-4850	76	15	by	by	ADP
cana-4850	76	16	rao	rao	PROPN
cana-4850	76	17	et	et	PROPN
cana-4850	76	18	al	al	PROPN
cana-4850	76	19	.	.	PUNCT
cana-4850	77	1	[	[	X
cana-4850	77	2	24	24	NUM
cana-4850	77	3	]	]	PUNCT
cana-4850	77	4	,	,	PUNCT
cana-4850	77	5	that	that	PRON
cana-4850	77	6	employed	employ	VERB
cana-4850	77	7	numerous	numerous	ADJ
cana-4850	77	8	msa	msa	PROPN
cana-4850	77	9	.	.	PUNCT
cana-4850	78	1	to	to	PART
cana-4850	78	2	create	create	VERB
cana-4850	78	3	3d	3d	NUM
cana-4850	78	4	models	model	NOUN
cana-4850	78	5	,	,	PUNCT
cana-4850	78	6	a	a	DET
cana-4850	78	7	different	different	ADJ
cana-4850	78	8	approach	approach	NOUN
cana-4850	78	9	employs	employ	VERB
cana-4850	78	10	the	the	DET
cana-4850	78	11	lstm	lstm	ADJ
cana-4850	78	12	framework	framework	NOUN
cana-4850	78	13	with	with	ADP
cana-4850	78	14	information	information	NOUN
cana-4850	78	15	within	within	ADP
cana-4850	78	16	the	the	DET
cana-4850	78	17	shape	shape	NOUN
cana-4850	78	18	of	of	ADP
cana-4850	78	19	protein	protein	NOUN
cana-4850	78	20	sequences	sequence	NOUN
cana-4850	78	21	,	,	PUNCT
cana-4850	78	22	pssm	pssm	NOUN
cana-4850	78	23	,	,	PUNCT
cana-4850	78	24	and	and	CCONJ
cana-4850	78	25	torsional	torsional	NOUN
cana-4850	78	26	of	of	ADP
cana-4850	78	27	distortion	distortion	NOUN
cana-4850	78	28	[	[	X
cana-4850	78	29	16	16	NUM
cana-4850	78	30	]	]	PUNCT
cana-4850	78	31	.	.	PUNCT
cana-4850	79	1	using	use	VERB
cana-4850	79	2	the	the	DET
cana-4850	79	3	findings	finding	NOUN
cana-4850	79	4	of	of	ADP
cana-4850	79	5	alquraishi	alquraishi	PROPN
cana-4850	79	6	's	's	PART
cana-4850	79	7	research	research	NOUN
cana-4850	79	8	[	[	X
cana-4850	79	9	25	25	NUM
cana-4850	79	10	]	]	PUNCT
cana-4850	79	11	on	on	ADP
cana-4850	79	12	the	the	DET
cana-4850	79	13	geometrical	geometrical	ADJ
cana-4850	79	14	phases	phase	NOUN
cana-4850	79	15	,	,	PUNCT
cana-4850	79	16	a	a	DET
cana-4850	79	17	framework	framework	NOUN
cana-4850	79	18	was	be	AUX
cana-4850	79	19	constructed	construct	VERB
cana-4850	79	20	with	with	ADP
cana-4850	79	21	three	three	NUM
cana-4850	79	22	stages	stage	NOUN
cana-4850	79	23	:	:	PUNCT
cana-4850	79	24	computational	computational	ADJ
cana-4850	79	25	,	,	PUNCT
cana-4850	79	26	geometric	geometric	ADJ
cana-4850	79	27	,	,	PUNCT
cana-4850	79	28	and	and	CCONJ
cana-4850	79	29	assessment	assessment	NOUN
cana-4850	79	30	.	.	PUNCT
cana-4850	80	1	developing	develop	VERB
cana-4850	80	2	performance	performance	NOUN
cana-4850	80	3	parameters	parameter	NOUN
cana-4850	80	4	that	that	PRON
cana-4850	80	5	direct	direct	VERB
cana-4850	80	6	the	the	DET
cana-4850	80	7	movement	movement	NOUN
cana-4850	80	8	of	of	ADP
cana-4850	80	9	proteins	protein	NOUN
cana-4850	80	10	in	in	ADP
cana-4850	80	11	the	the	DET
cana-4850	80	12	conformational	conformational	ADJ
cana-4850	80	13	environment	environment	NOUN
cana-4850	80	14	from	from	ADP
cana-4850	80	15	the	the	DET
cana-4850	80	16	unfolding	unfolding	NOUN
cana-4850	80	17	to	to	ADP
cana-4850	80	18	the	the	DET
cana-4850	80	19	folding	fold	VERB
cana-4850	80	20	phase	phase	NOUN
cana-4850	80	21	is	be	AUX
cana-4850	80	22	a	a	DET
cana-4850	80	23	common	common	ADJ
cana-4850	80	24	practice	practice	NOUN
cana-4850	80	25	in	in	ADP
cana-4850	80	26	physics	physics	NOUN
cana-4850	80	27	-	-	PUNCT
cana-4850	80	28	based	base	VERB
cana-4850	80	29	methods	method	NOUN
cana-4850	80	30	towards	towards	ADP
cana-4850	80	31	protein	protein	NOUN
cana-4850	80	32	folding	folding	NOUN
cana-4850	80	33	.	.	PUNCT
cana-4850	81	1	in	in	ADP
cana-4850	81	2	recent	recent	ADJ
cana-4850	81	3	decades	decade	NOUN
cana-4850	81	4	,	,	PUNCT
cana-4850	81	5	a	a	DET
cana-4850	81	6	number	number	NOUN
cana-4850	81	7	of	of	ADP
cana-4850	81	8	methods	method	NOUN
cana-4850	81	9	have	have	AUX
cana-4850	81	10	been	be	AUX
cana-4850	81	11	used	use	VERB
cana-4850	81	12	to	to	PART
cana-4850	81	13	develop	develop	VERB
cana-4850	81	14	energy	energy	NOUN
cana-4850	81	15	functions	function	NOUN
cana-4850	81	16	[	[	X
cana-4850	81	17	19]-[20	19]-[20	X
cana-4850	81	18	]	]	PUNCT
cana-4850	81	19	,	,	PUNCT
cana-4850	81	20	and	and	CCONJ
cana-4850	81	21	through	through	ADP
cana-4850	81	22	the	the	DET
cana-4850	81	23	use	use	NOUN
cana-4850	81	24	of	of	ADP
cana-4850	81	25	the	the	DET
cana-4850	81	26	fundamental	fundamental	ADJ
cana-4850	81	27	fragmented	fragmented	ADJ
cana-4850	81	28	communications	communication	NOUN
cana-4850	81	29	on	on	ADP
cana-4850	81	30	applied	apply	VERB
cana-4850	81	31	nonlinear	nonlinear	ADJ
cana-4850	81	32	analysis	analysis	NOUN
cana-4850	81	33	issn	issn	NOUN
cana-4850	81	34	:	:	PUNCT
cana-4850	81	35	1074	1074	NUM
cana-4850	81	36	-	-	PUNCT
cana-4850	81	37	133x	133x	NUM
cana-4850	81	38	vol	vol	VERB
cana-4850	81	39	32	32	NUM
cana-4850	81	40	no	no	NOUN
cana-4850	81	41	.	.	PUNCT
cana-4850	81	42	10s	10	NOUN
cana-4850	81	43	(	(	PUNCT
cana-4850	81	44	2025	2025	NUM
cana-4850	81	45	)	)	PUNCT
cana-4850	81	46	625	625	NUM
cana-4850	81	47	https://internationalpubls.com	https://internationalpubls.com	X
cana-4850	81	48	power	power	NOUN
cana-4850	81	49	fields	field	NOUN
cana-4850	82	1	[	[	X
cana-4850	82	2	26]-[27	26]-[27	PROPN
cana-4850	82	3	]	]	PUNCT
cana-4850	82	4	.	.	PUNCT
cana-4850	83	1	these	these	DET
cana-4850	83	2	methods	method	NOUN
cana-4850	83	3	were	be	AUX
cana-4850	83	4	thereafter	thereafter	ADV
cana-4850	83	5	modified	modify	VERB
cana-4850	83	6	by	by	ADP
cana-4850	83	7	the	the	DET
cana-4850	83	8	use	use	NOUN
cana-4850	83	9	of	of	ADP
cana-4850	83	10	protein	protein	NOUN
cana-4850	83	11	modeling	model	VERB
cana-4850	83	12	[	[	X
cana-4850	83	13	21][22	21][22	NOUN
cana-4850	83	14	]	]	PUNCT
cana-4850	83	15	,	,	PUNCT
cana-4850	83	16	and	and	CCONJ
cana-4850	83	17	a	a	DET
cana-4850	83	18	course	course	NOUN
cana-4850	83	19	in	in	ADP
cana-4850	83	20	texture	texture	ADJ
cana-4850	83	21	technique	technique	NOUN
cana-4850	83	22	.	.	PUNCT
cana-4850	84	1	in	in	ADP
cana-4850	84	2	this	this	DET
cana-4850	84	3	situation	situation	NOUN
cana-4850	84	4	,	,	PUNCT
cana-4850	84	5	performance	performance	NOUN
cana-4850	84	6	measures	measure	NOUN
cana-4850	84	7	that	that	PRON
cana-4850	84	8	take	take	VERB
cana-4850	84	9	into	into	ADP
cana-4850	84	10	consideration	consideration	NOUN
cana-4850	84	11	multibody	multibody	ADJ
cana-4850	84	12	factors	factor	NOUN
cana-4850	84	13	that	that	PRON
cana-4850	84	14	are	be	AUX
cana-4850	84	15	difficult	difficult	ADJ
cana-4850	84	16	to	to	PART
cana-4850	84	17	predict	predict	VERB
cana-4850	84	18	analytical	analytical	NOUN
cana-4850	84	19	can	can	AUX
cana-4850	84	20	be	be	AUX
cana-4850	84	21	designed	design	VERB
cana-4850	84	22	with	with	ADP
cana-4850	84	23	the	the	DET
cana-4850	84	24	use	use	NOUN
cana-4850	84	25	of	of	ADP
cana-4850	84	26	computational	computational	ADJ
cana-4850	84	27	neural	neural	ADJ
cana-4850	84	28	networks	network	NOUN
cana-4850	84	29	.	.	PUNCT
cana-4850	85	1	the	the	DET
cana-4850	85	2	framework	framework	NOUN
cana-4850	85	3	is	be	AUX
cana-4850	85	4	trained	train	VERB
cana-4850	85	5	on	on	ADP
cana-4850	85	6	amino	amino	NOUN
cana-4850	85	7	acid	acid	NOUN
cana-4850	85	8	strands	strand	NOUN
cana-4850	85	9	lacking	lack	VERB
cana-4850	85	10	any	any	DET
cana-4850	85	11	knowledge	knowledge	NOUN
cana-4850	85	12	of	of	ADP
cana-4850	85	13	protein	protein	NOUN
cana-4850	85	14	shape	shape	NOUN
cana-4850	85	15	in	in	ADP
cana-4850	85	16	order	order	NOUN
cana-4850	85	17	to	to	PART
cana-4850	85	18	predict	predict	VERB
cana-4850	85	19	the	the	DET
cana-4850	85	20	interaction	interaction	NOUN
cana-4850	85	21	across	across	ADP
cana-4850	85	22	acids	acid	NOUN
cana-4850	85	23	in	in	ADP
cana-4850	85	24	a	a	DET
cana-4850	85	25	detached	detached	ADJ
cana-4850	85	26	way	way	NOUN
cana-4850	85	27	.	.	PUNCT
cana-4850	86	1	direct	direct	ADJ
cana-4850	86	2	connectivity	connectivity	NOUN
cana-4850	86	3	investigation	investigation	NOUN
cana-4850	86	4	,	,	PUNCT
cana-4850	86	5	a	a	DET
cana-4850	86	6	methodology	methodology	NOUN
cana-4850	86	7	that	that	PRON
cana-4850	86	8	uses	use	VERB
cana-4850	86	9	markov	markov	NOUN
cana-4850	86	10	random	random	ADJ
cana-4850	86	11	fields	field	NOUN
cana-4850	86	12	toward	toward	ADP
cana-4850	86	13	the	the	DET
cana-4850	86	14	msa	msa	PROPN
cana-4850	86	15	underneath	underneath	ADP
cana-4850	86	16	an	an	DET
cana-4850	86	17	amino	amino	NOUN
cana-4850	86	18	acid	acid	NOUN
cana-4850	86	19	strand	strand	NOUN
cana-4850	86	20	,	,	PUNCT
cana-4850	86	21	is	be	AUX
cana-4850	86	22	the	the	DET
cana-4850	86	23	main	main	ADJ
cana-4850	86	24	method	method	NOUN
cana-4850	86	25	for	for	ADP
cana-4850	86	26	examining	examine	VERB
cana-4850	86	27	the	the	DET
cana-4850	86	28	developmental	developmental	ADJ
cana-4850	86	29	limits	limit	NOUN
cana-4850	86	30	among	among	ADP
cana-4850	86	31	collections	collection	NOUN
cana-4850	86	32	of	of	ADP
cana-4850	86	33	comparable	comparable	ADJ
cana-4850	86	34	proteins	protein	NOUN
cana-4850	86	35	sequences	sequence	NOUN
cana-4850	86	36	.	.	PUNCT
cana-4850	87	1	a	a	DET
cana-4850	87	2	number	number	NOUN
cana-4850	87	3	of	of	ADP
cana-4850	87	4	research	research	NOUN
cana-4850	87	5	have	have	AUX
cana-4850	87	6	suggested	suggest	VERB
cana-4850	87	7	replacing	replace	VERB
cana-4850	87	8	shallow	shallow	ADJ
cana-4850	87	9	markov	markov	NOUN
cana-4850	87	10	random	random	ADJ
cana-4850	87	11	fields	field	NOUN
cana-4850	87	12	with	with	ADP
cana-4850	87	13	dnn	dnn	PROPN
cana-4850	87	14	model	model	PROPN
cana-4850	87	15	.	.	PUNCT
cana-4850	88	1	riesselman	riesselman	PROPN
cana-4850	88	2	et	et	PROPN
cana-4850	88	3	al	al	PROPN
cana-4850	88	4	.	.	PROPN
cana-4850	88	5	demonstrated	demonstrate	VERB
cana-4850	88	6	the	the	DET
cana-4850	88	7	possibility	possibility	NOUN
cana-4850	88	8	that	that	SCONJ
cana-4850	88	9	protein	protein	NOUN
cana-4850	88	10	function	function	NOUN
cana-4850	88	11	may	may	AUX
cana-4850	88	12	be	be	AUX
cana-4850	88	13	determined	determine	VERB
cana-4850	88	14	from	from	ADP
cana-4850	88	15	inconsistent	inconsistent	ADJ
cana-4850	88	16	sequences	sequence	NOUN
cana-4850	88	17	by	by	ADP
cana-4850	88	18	training	train	VERB
cana-4850	88	19	a	a	DET
cana-4850	88	20	self	self	NOUN
cana-4850	88	21	-	-	PUNCT
cana-4850	88	22	regressive	regressive	ADJ
cana-4850	88	23	approach	approach	NOUN
cana-4850	88	24	towards	towards	ADP
cana-4850	88	25	msa	msa	PROPN
cana-4850	88	26	while	while	SCONJ
cana-4850	88	27	ignoring	ignore	VERB
cana-4850	88	28	alignment	alignment	NOUN
cana-4850	88	29	[	[	X
cana-4850	88	30	23	23	NUM
cana-4850	88	31	]	]	PUNCT
cana-4850	88	32	.	.	PUNCT
cana-4850	89	1	instead	instead	ADV
cana-4850	89	2	of	of	ADP
cana-4850	89	3	using	use	VERB
cana-4850	89	4	a	a	DET
cana-4850	89	5	complete	complete	ADJ
cana-4850	89	6	structure	structure	NOUN
cana-4850	89	7	for	for	ADP
cana-4850	89	8	obtaining	obtain	VERB
cana-4850	89	9	interaction	interaction	NOUN
cana-4850	89	10	amino	amino	NOUN
cana-4850	89	11	acids	acid	NOUN
cana-4850	89	12	,	,	PUNCT
cana-4850	89	13	riesselman	riesselman	NOUN
cana-4850	89	14	et	et	PROPN
cana-4850	89	15	al	al	PROPN
cana-4850	89	16	.	.	PUNCT
cana-4850	90	1	[	[	X
cana-4850	90	2	23	23	NUM
cana-4850	90	3	]	]	PUNCT
cana-4850	90	4	only	only	ADV
cana-4850	90	5	employed	employ	VERB
cana-4850	90	6	a	a	DET
cana-4850	90	7	collection	collection	NOUN
cana-4850	90	8	of	of	ADP
cana-4850	90	9	associated	associated	ADJ
cana-4850	90	10	strands	strand	NOUN
cana-4850	90	11	,	,	PUNCT
cana-4850	90	12	compared	compare	VERB
cana-4850	90	13	to	to	PART
cana-4850	90	14	study	study	VERB
cana-4850	90	15	by	by	ADP
cana-4850	90	16	rao	rao	PROPN
cana-4850	90	17	et	et	PROPN
cana-4850	90	18	al	al	PROPN
cana-4850	90	19	.	.	PUNCT
cana-4850	91	1	[	[	X
cana-4850	91	2	24	24	NUM
cana-4850	91	3	]	]	PUNCT
cana-4850	91	4	,	,	PUNCT
cana-4850	91	5	that	that	SCONJ
cana-4850	91	6	utilized	utilize	VERB
cana-4850	91	7	numerous	numerous	ADJ
cana-4850	91	8	msa	msa	PROPN
cana-4850	91	9	.	.	PUNCT
cana-4850	92	1	to	to	PART
cana-4850	92	2	create	create	VERB
cana-4850	92	3	3d	3d	NUM
cana-4850	92	4	structures	structure	NOUN
cana-4850	92	5	,	,	PUNCT
cana-4850	92	6	a	a	DET
cana-4850	92	7	different	different	ADJ
cana-4850	92	8	approach	approach	NOUN
cana-4850	92	9	employs	employ	VERB
cana-4850	92	10	the	the	DET
cana-4850	92	11	lstm	lstm	NOUN
cana-4850	92	12	framework	framework	NOUN
cana-4850	92	13	and	and	CCONJ
cana-4850	92	14	takes	take	VERB
cana-4850	92	15	as	as	ADP
cana-4850	92	16	inputs	input	NOUN
cana-4850	92	17	amino	amino	NOUN
cana-4850	92	18	acid	acid	NOUN
cana-4850	92	19	chains	chain	NOUN
cana-4850	92	20	[	[	X
cana-4850	92	21	16	16	NUM
cana-4850	92	22	]	]	PUNCT
cana-4850	92	23	.	.	PUNCT
cana-4850	93	1	table	table	NOUN
cana-4850	93	2	2	2	NUM
cana-4850	93	3	:	:	PUNCT
cana-4850	93	4	compare	compare	VERB
cana-4850	93	5	the	the	DET
cana-4850	93	6	existing	exist	VERB
cana-4850	93	7	methods	method	NOUN
cana-4850	93	8	for	for	ADP
cana-4850	93	9	protein	protein	NOUN
cana-4850	93	10	sequence	sequence	NOUN
cana-4850	93	11	ref	ref	NOUN
cana-4850	93	12	methods	method	NOUN
cana-4850	93	13	contributions	contribution	NOUN
cana-4850	93	14	[	[	X
cana-4850	93	15	28]-[29]-[30	28]-[29]-[30	NUM
cana-4850	93	16	]	]	X
cana-4850	93	17	rgn	rgn	PROPN
cana-4850	93	18	-	-	PUNCT
cana-4850	93	19	bert	bert	PROPN
cana-4850	93	20	,	,	PUNCT
cana-4850	93	21	proteinbert	proteinbert	NOUN
cana-4850	93	22	,	,	PUNCT
cana-4850	93	23	proteinmpnn	proteinmpnn	NOUN
cana-4850	93	24	amino	amino	NOUN
cana-4850	93	25	acid	acid	NOUN
cana-4850	93	26	sequence	sequence	NOUN
cana-4850	93	27	[	[	X
cana-4850	93	28	31]-[32	31]-[32	NUM
cana-4850	93	29	]	]	PUNCT
cana-4850	93	30	1d	1d	NUM
cana-4850	93	31	-	-	PUNCT
cana-4850	93	32	cnn	cnn	PROPN
cana-4850	93	33	,	,	PUNCT
cana-4850	93	34	svm	svm	PROPN
cana-4850	93	35	,	,	PUNCT
cana-4850	93	36	rf	rf	PROPN
cana-4850	93	37	,	,	PUNCT
cana-4850	93	38	cnn	cnn	PROPN
cana-4850	93	39	predicting	predict	VERB
cana-4850	93	40	interaction	interaction	NOUN
cana-4850	93	41	[	[	X
cana-4850	93	42	33]-[34	33]-[34	X
cana-4850	93	43	]	]	PUNCT
cana-4850	93	44	lomets3	lomets3	PROPN
cana-4850	93	45	,	,	PUNCT
cana-4850	93	46	psa	psa	VERB
cana-4850	93	47	forecasting	forecasting	NOUN
cana-4850	93	48	of	of	ADP
cana-4850	93	49	profiles	profile	NOUN
cana-4850	93	50	[	[	X
cana-4850	93	51	35	35	NUM
cana-4850	93	52	]	]	SYM
cana-4850	93	53	casp14	casp14	ADJ
cana-4850	93	54	proximity	proximity	NOUN
cana-4850	93	55	forecasting	forecasting	NOUN
cana-4850	94	1	[	[	X
cana-4850	94	2	36]-[37]-[38]-[49]-[50	36]-[37]-[38]-[49]-[50	X
cana-4850	94	3	]	]	X
cana-4850	94	4	deep	deep	PROPN
cana-4850	94	5	cnn	cnn	PROPN
cana-4850	94	6	,	,	PUNCT
cana-4850	94	7	lstm	lstm	PROPN
cana-4850	94	8	,	,	PUNCT
cana-4850	94	9	structnet	structnet	NOUN
cana-4850	94	10	,	,	PUNCT
cana-4850	94	11	resnet	resnet	NOUN
cana-4850	94	12	,	,	PUNCT
cana-4850	94	13	transformer	transformer	ADJ
cana-4850	94	14	secondary	secondary	ADJ
cana-4850	94	15	structure	structure	NOUN
cana-4850	94	16	[	[	X
cana-4850	94	17	39]-[40]-[41	39]-[40]-[41	NUM
cana-4850	94	18	]	]	SYM
cana-4850	94	19	casp13	casp13	NOUN
cana-4850	94	20	and	and	CCONJ
cana-4850	94	21	casp14	casp14	PROPN
cana-4850	94	22	,	,	PUNCT
cana-4850	94	23	resnet	resnet	NOUN
cana-4850	94	24	,	,	PUNCT
cana-4850	94	25	dlpacker	dlpacker	NOUN
cana-4850	94	26	sidechain	sidechain	NOUN
cana-4850	94	27	prediction	prediction	NOUN
cana-4850	95	1	[	[	X
cana-4850	95	2	42	42	NUM
cana-4850	95	3	]	]	X
cana-4850	95	4	ensemble	ensemble	ADJ
cana-4850	95	5	tertiary	tertiary	ADJ
cana-4850	95	6	framework	framework	NOUN
cana-4850	95	7	[	[	X
cana-4850	95	8	43]-[44]-[45	43]-[44]-[45	X
cana-4850	95	9	]	]	X
cana-4850	95	10	deepcon	deepcon	NOUN
cana-4850	95	11	,	,	PUNCT
cana-4850	95	12	lddt	lddt	ADJ
cana-4850	95	13	analysis	analysis	NOUN
cana-4850	95	14	and	and	CCONJ
cana-4850	95	15	evaluation	evaluation	NOUN
cana-4850	95	16	of	of	ADP
cana-4850	95	17	prediction	prediction	NOUN
cana-4850	95	18	models	model	NOUN
cana-4850	95	19	[	[	X
cana-4850	95	20	46]-[47	46]-[47	X
cana-4850	95	21	]	]	X
cana-4850	95	22	gan	gan	PROPN
cana-4850	95	23	,	,	PUNCT
cana-4850	95	24	rnn	rnn	PROPN
cana-4850	95	25	correctness	correctness	PROPN
cana-4850	95	26	forecast	forecast	PROPN
cana-4850	96	1	[	[	X
cana-4850	96	2	48	48	NUM
cana-4850	96	3	]	]	X
cana-4850	96	4	[	[	X
cana-4850	96	5	49	49	NUM
cana-4850	96	6	]	]	X
cana-4850	96	7	c	c	X
cana-4850	96	8	-	-	PUNCT
cana-4850	96	9	cnn	cnn	PROPN
cana-4850	96	10	distance	distance	NOUN
cana-4850	96	11	forecast	forecast	NOUN
cana-4850	96	12	forecasting	forecasting	NOUN
cana-4850	96	13	communications	communication	NOUN
cana-4850	96	14	on	on	ADP
cana-4850	96	15	applied	apply	VERB
cana-4850	96	16	nonlinear	nonlinear	ADJ
cana-4850	96	17	analysis	analysis	NOUN
cana-4850	96	18	issn	issn	NOUN
cana-4850	96	19	:	:	PUNCT
cana-4850	96	20	1074	1074	NUM
cana-4850	96	21	-	-	PUNCT
cana-4850	96	22	133x	133x	NUM
cana-4850	96	23	vol	vol	VERB
cana-4850	96	24	32	32	NUM
cana-4850	96	25	no	no	NOUN
cana-4850	96	26	.	.	PUNCT
cana-4850	97	1	10s	10	NOUN
cana-4850	97	2	(	(	PUNCT
cana-4850	97	3	2025	2025	NUM
cana-4850	97	4	)	)	PUNCT
cana-4850	97	5	626	626	NUM
cana-4850	97	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4850	97	7	evolutionary	evolutionary	ADJ
cana-4850	97	8	-	-	PUNCT
cana-4850	97	9	based	base	VERB
cana-4850	97	10	methods	method	NOUN
cana-4850	97	11	:	:	PUNCT
cana-4850	97	12	the	the	DET
cana-4850	97	13	application	application	NOUN
cana-4850	97	14	of	of	ADP
cana-4850	97	15	a	a	DET
cana-4850	97	16	dnn	dnn	PROPN
cana-4850	97	17	approach	approach	NOUN
cana-4850	97	18	has	have	AUX
cana-4850	97	19	led	lead	VERB
cana-4850	97	20	to	to	ADP
cana-4850	97	21	a	a	DET
cana-4850	97	22	significant	significant	ADJ
cana-4850	97	23	advancement	advancement	NOUN
cana-4850	97	24	in	in	ADP
cana-4850	97	25	protein	protein	NOUN
cana-4850	97	26	structure	structure	NOUN
cana-4850	97	27	detection	detection	NOUN
cana-4850	97	28	[	[	X
cana-4850	97	29	51]-[52	51]-[52	NUM
cana-4850	97	30	]	]	PUNCT
cana-4850	97	31	.	.	PUNCT
cana-4850	98	1	the	the	DET
cana-4850	98	2	first	first	ADJ
cana-4850	98	3	controlled	control	VERB
cana-4850	98	4	investigations	investigation	NOUN
cana-4850	98	5	utilized	utilize	VERB
cana-4850	98	6	coevolutionary	coevolutionary	NOUN
cana-4850	98	7	traits	trait	NOUN
cana-4850	98	8	[	[	X
cana-4850	98	9	51]-[53	51]-[53	NUM
cana-4850	98	10	]	]	PUNCT
cana-4850	98	11	.	.	PUNCT
cana-4850	99	1	furthermore	furthermore	ADV
cana-4850	99	2	,	,	PUNCT
cana-4850	99	3	msa	msa	PROPN
cana-4850	99	4	served	serve	VERB
cana-4850	99	5	as	as	ADP
cana-4850	99	6	the	the	DET
cana-4850	99	7	data	datum	NOUN
cana-4850	99	8	source	source	NOUN
cana-4850	99	9	for	for	ADP
cana-4850	99	10	a	a	DET
cana-4850	99	11	trained	train	VERB
cana-4850	99	12	protein	protein	NOUN
cana-4850	99	13	structural	structural	ADJ
cana-4850	99	14	identification	identification	NOUN
cana-4850	99	15	approach	approach	NOUN
cana-4850	99	16	.	.	PUNCT
cana-4850	100	1	in	in	ADP
cana-4850	100	2	[	[	X
cana-4850	100	3	54]-[55	54]-[55	X
cana-4850	100	4	]	]	PUNCT
cana-4850	100	5	suggested	suggest	VERB
cana-4850	100	6	into	into	ADP
cana-4850	100	7	an	an	DET
cana-4850	100	8	architecture	architecture	NOUN
cana-4850	100	9	which	which	PRON
cana-4850	100	10	analyzed	analyze	VERB
cana-4850	100	11	msa	msa	PROPN
cana-4850	100	12	data	datum	NOUN
cana-4850	100	13	instantly	instantly	ADV
cana-4850	100	14	utilizing	utilize	VERB
cana-4850	100	15	2d	2d	NUM
cana-4850	100	16	convolutional	convolutional	ADJ
cana-4850	100	17	layers	layer	NOUN
cana-4850	100	18	[	[	X
cana-4850	100	19	54	54	NUM
cana-4850	100	20	]	]	PUNCT
cana-4850	100	21	and	and	CCONJ
cana-4850	100	22	a	a	DET
cana-4850	100	23	gru	gru	NOUN
cana-4850	101	1	[	[	X
cana-4850	101	2	55	55	NUM
cana-4850	101	3	]	]	PUNCT
cana-4850	101	4	.	.	PUNCT
cana-4850	102	1	in	in	ADP
cana-4850	102	2	the	the	DET
cana-4850	102	3	most	most	ADV
cana-4850	102	4	recent	recent	ADJ
cana-4850	102	5	sophisticated	sophisticated	ADJ
cana-4850	102	6	polypeptide	polypeptide	ADJ
cana-4850	102	7	prediction	prediction	NOUN
cana-4850	102	8	effort	effort	NOUN
cana-4850	102	9	,	,	PUNCT
cana-4850	102	10	alphafold2	alphafold2	ADJ
cana-4850	102	11	,	,	PUNCT
cana-4850	102	12	attentiveness	attentiveness	NOUN
cana-4850	102	13	was	be	AUX
cana-4850	102	14	used	use	VERB
cana-4850	102	15	to	to	PART
cana-4850	102	16	assess	assess	VERB
cana-4850	102	17	msa	msa	PROPN
cana-4850	102	18	-	-	PROPN
cana-4850	102	19	msa	msa	PROPN
cana-4850	102	20	using	use	VERB
cana-4850	102	21	a	a	DET
cana-4850	102	22	supervised	supervised	ADJ
cana-4850	102	23	full	full	ADJ
cana-4850	102	24	structure	structure	NOUN
cana-4850	102	25	of	of	ADP
cana-4850	102	26	protein	protein	NOUN
cana-4850	102	27	construction	construction	NOUN
cana-4850	102	28	[	[	X
cana-4850	102	29	56	56	NUM
cana-4850	102	30	]	]	PUNCT
cana-4850	102	31	.	.	PUNCT
cana-4850	103	1	protein	protein	NOUN
cana-4850	103	2	interaction	interaction	NOUN
cana-4850	103	3	prediction	prediction	NOUN
cana-4850	103	4	represents	represent	VERB
cana-4850	103	5	a	a	DET
cana-4850	103	6	crucial	crucial	ADJ
cana-4850	103	7	component	component	NOUN
cana-4850	103	8	in	in	ADP
cana-4850	103	9	every	every	DET
cana-4850	103	10	one	one	NUM
cana-4850	103	11	of	of	ADP
cana-4850	103	12	presently	presently	ADV
cana-4850	103	13	available	available	ADJ
cana-4850	103	14	cutting	cutting	NOUN
cana-4850	103	15	-	-	PUNCT
cana-4850	103	16	edge	edge	NOUN
cana-4850	103	17	protein	protein	NOUN
cana-4850	103	18	structural	structural	ADJ
cana-4850	103	19	predictions	prediction	NOUN
cana-4850	103	20	techniques	technique	NOUN
cana-4850	103	21	[	[	X
cana-4850	103	22	57]-[58	57]-[58	NUM
cana-4850	103	23	]	]	X
cana-4850	103	24	it	it	PRON
cana-4850	103	25	plays	play	VERB
cana-4850	103	26	a	a	DET
cana-4850	103	27	significant	significant	ADJ
cana-4850	103	28	role	role	NOUN
cana-4850	103	29	in	in	ADP
cana-4850	103	30	computerized	computerized	ADJ
cana-4850	103	31	protein	protein	NOUN
cana-4850	103	32	development	development	NOUN
cana-4850	104	1	[	[	X
cana-4850	104	2	59]-[60	59]-[60	NOUN
cana-4850	104	3	]	]	PUNCT
cana-4850	104	4	.	.	PUNCT
cana-4850	105	1	numerous	numerous	ADJ
cana-4850	105	2	study	study	NOUN
cana-4850	105	3	teams	team	NOUN
cana-4850	105	4	have	have	AUX
cana-4850	105	5	used	use	VERB
cana-4850	105	6	an	an	DET
cana-4850	105	7	autonomous	autonomous	ADJ
cana-4850	105	8	technique	technique	NOUN
cana-4850	105	9	for	for	ADP
cana-4850	105	10	molecular	molecular	ADJ
cana-4850	105	11	language	language	NOUN
cana-4850	105	12	modeling	modeling	NOUN
cana-4850	105	13	[	[	X
cana-4850	105	14	61]-[62	61]-[62	X
cana-4850	105	15	]	]	PUNCT
cana-4850	105	16	.	.	PUNCT
cana-4850	106	1	transformers	transformer	NOUN
cana-4850	106	2	design	design	PROPN
cana-4850	106	3	was	be	AUX
cana-4850	106	4	employed	employ	VERB
cana-4850	106	5	in	in	ADP
cana-4850	106	6	a	a	DET
cana-4850	106	7	number	number	NOUN
cana-4850	106	8	of	of	ADP
cana-4850	106	9	these	these	DET
cana-4850	106	10	research	research	NOUN
cana-4850	106	11	[	[	X
cana-4850	106	12	61]-[62]-[63	61]-[62]-[63	NUM
cana-4850	106	13	]	]	PUNCT
cana-4850	106	14	.	.	PUNCT
cana-4850	107	1	utilizing	utilize	VERB
cana-4850	107	2	data	datum	NOUN
cana-4850	107	3	in	in	ADP
cana-4850	107	4	the	the	DET
cana-4850	107	5	shape	shape	NOUN
cana-4850	107	6	of	of	ADP
cana-4850	107	7	statistics	statistic	NOUN
cana-4850	107	8	such	such	ADJ
cana-4850	107	9	as	as	ADP
cana-4850	107	10	correlation	correlation	NOUN
cana-4850	107	11	[	[	X
cana-4850	107	12	44]-[64	44]-[64	X
cana-4850	107	13	]	]	PUNCT
cana-4850	107	14	,	,	PUNCT
cana-4850	107	15	estimated	estimate	VERB
cana-4850	107	16	convolutional	convolutional	ADJ
cana-4850	107	17	features	feature	NOUN
cana-4850	107	18	[	[	X
cana-4850	107	19	65	65	NUM
cana-4850	107	20	]	]	PUNCT
cana-4850	107	21	,	,	PUNCT
cana-4850	107	22	patterns	pattern	NOUN
cana-4850	107	23	,	,	PUNCT
cana-4850	107	24	or	or	CCONJ
cana-4850	107	25	historical	historical	ADJ
cana-4850	107	26	characteristics	characteristic	NOUN
cana-4850	107	27	[	[	X
cana-4850	107	28	66	66	NUM
cana-4850	107	29	]	]	PUNCT
cana-4850	107	30	,	,	PUNCT
cana-4850	107	31	dl	dl	PROPN
cana-4850	107	32	techniques	technique	NOUN
cana-4850	107	33	have	have	AUX
cana-4850	107	34	demonstrated	demonstrate	VERB
cana-4850	107	35	effectiveness	effectiveness	NOUN
cana-4850	107	36	when	when	SCONJ
cana-4850	107	37	identifying	identify	VERB
cana-4850	107	38	interaction	interaction	NOUN
cana-4850	107	39	proteins	protein	NOUN
cana-4850	107	40	[	[	X
cana-4850	107	41	44]-[58]-[64	44]-[58]-[64	NOUN
cana-4850	107	42	]	]	PUNCT
cana-4850	107	43	.	.	PUNCT
cana-4850	108	1	coevolutionary	coevolutionary	PROPN
cana-4850	108	2	component	component	NOUN
cana-4850	108	3	inclusion	inclusion	NOUN
cana-4850	108	4	is	be	AUX
cana-4850	108	5	crucial	crucial	ADJ
cana-4850	108	6	for	for	ADP
cana-4850	108	7	modelling	model	VERB
cana-4850	108	8	success	success	NOUN
cana-4850	108	9	,	,	PUNCT
cana-4850	108	10	according	accord	VERB
cana-4850	108	11	to	to	ADP
cana-4850	108	12	another	another	DET
cana-4850	108	13	research	research	NOUN
cana-4850	108	14	[	[	X
cana-4850	108	15	64	64	NUM
cana-4850	108	16	]	]	PUNCT
cana-4850	108	17	.	.	PUNCT
cana-4850	109	1	this	this	DET
cana-4850	109	2	method	method	NOUN
cana-4850	109	3	has	have	AUX
cana-4850	109	4	proved	prove	VERB
cana-4850	109	5	applied	apply	VERB
cana-4850	109	6	in	in	ADP
cana-4850	109	7	other	other	ADJ
cana-4850	109	8	fields	field	NOUN
cana-4850	109	9	,	,	PUNCT
cana-4850	109	10	such	such	ADJ
cana-4850	109	11	as	as	ADP
cana-4850	109	12	predicting	predict	VERB
cana-4850	109	13	protein	protein	NOUN
cana-4850	109	14	structures	structure	NOUN
cana-4850	109	15	[	[	X
cana-4850	109	16	67]-[68	67]-[68	X
cana-4850	109	17	]	]	X
cana-4850	109	18	particularly	particularly	ADV
cana-4850	109	19	the	the	DET
cana-4850	109	20	development	development	NOUN
cana-4850	109	21	of	of	ADP
cana-4850	109	22	large	large	ADJ
cana-4850	109	23	-	-	PUNCT
cana-4850	109	24	scale	scale	NOUN
cana-4850	109	25	modeling	modeling	NOUN
cana-4850	109	26	of	of	ADP
cana-4850	109	27	languages	language	NOUN
cana-4850	109	28	for	for	ADP
cana-4850	109	29	processing	process	VERB
cana-4850	109	30	natural	natural	ADJ
cana-4850	109	31	words	word	NOUN
cana-4850	109	32	[	[	X
cana-4850	109	33	69	69	NUM
cana-4850	109	34	]	]	PUNCT
cana-4850	109	35	.	.	PUNCT
cana-4850	110	1	the	the	DET
cana-4850	110	2	sequence	sequence	NOUN
cana-4850	110	3	of	of	ADP
cana-4850	110	4	terms	term	NOUN
cana-4850	110	5	in	in	ADP
cana-4850	110	6	phrases	phrase	NOUN
cana-4850	110	7	is	be	AUX
cana-4850	110	8	said	say	VERB
cana-4850	110	9	to	to	PART
cana-4850	110	10	be	be	AUX
cana-4850	110	11	comparable	comparable	ADJ
cana-4850	110	12	to	to	ADP
cana-4850	110	13	the	the	DET
cana-4850	110	14	strands	strand	NOUN
cana-4850	110	15	of	of	ADP
cana-4850	110	16	amino	amino	ADJ
cana-4850	110	17	acids	acid	NOUN
cana-4850	110	18	that	that	PRON
cana-4850	110	19	make	make	VERB
cana-4850	110	20	up	up	ADP
cana-4850	110	21	proteins	protein	NOUN
cana-4850	110	22	,	,	PUNCT
cana-4850	110	23	where	where	SCONJ
cana-4850	110	24	a	a	DET
cana-4850	110	25	word	word	NOUN
cana-4850	110	26	may	may	AUX
cana-4850	110	27	have	have	VERB
cana-4850	110	28	an	an	DET
cana-4850	110	29	association	association	NOUN
cana-4850	110	30	between	between	ADP
cana-4850	110	31	a	a	DET
cana-4850	110	32	word	word	NOUN
cana-4850	110	33	located	locate	VERB
cana-4850	110	34	adjacent	adjacent	ADJ
cana-4850	110	35	to	to	ADP
cana-4850	110	36	it	it	PRON
cana-4850	110	37	as	as	ADV
cana-4850	110	38	well	well	ADV
cana-4850	110	39	as	as	ADP
cana-4850	110	40	a	a	DET
cana-4850	110	41	phrase	phrase	NOUN
cana-4850	110	42	which	which	PRON
cana-4850	110	43	is	be	AUX
cana-4850	110	44	somewhat	somewhat	ADV
cana-4850	110	45	distant	distant	ADJ
cana-4850	110	46	from	from	ADP
cana-4850	110	47	its	its	PRON
cana-4850	110	48	original	original	ADJ
cana-4850	110	49	location	location	NOUN
cana-4850	110	50	.	.	PUNCT
cana-4850	111	1	earlier	early	ADJ
cana-4850	111	2	investigations	investigation	NOUN
cana-4850	111	3	use	use	VERB
cana-4850	111	4	a	a	DET
cana-4850	111	5	ml	ml	NOUN
cana-4850	111	6	algorithm	algorithm	NOUN
cana-4850	111	7	in	in	ADP
cana-4850	111	8	predicting	predict	VERB
cana-4850	111	9	protein	protein	NOUN
cana-4850	111	10	contact	contact	NOUN
cana-4850	111	11	.	.	PUNCT
cana-4850	112	1	bepler	bepler	PROPN
cana-4850	112	2	and	and	CCONJ
cana-4850	112	3	berger	berger	PROPN
cana-4850	112	4	created	create	VERB
cana-4850	112	5	sequence	sequence	NOUN
cana-4850	112	6	integration	integration	NOUN
cana-4850	112	7	by	by	ADP
cana-4850	112	8	combining	combine	VERB
cana-4850	112	9	structure	structure	NOUN
cana-4850	112	10	.	.	PUNCT
cana-4850	113	1	researchers	researcher	NOUN
cana-4850	113	2	became	become	VERB
cana-4850	113	3	initially	initially	ADV
cana-4850	113	4	able	able	ADJ
cana-4850	113	5	to	to	PART
cana-4850	113	6	pair	pair	VERB
cana-4850	113	7	associations	association	NOUN
cana-4850	113	8	among	among	ADP
cana-4850	113	9	residues	residue	NOUN
cana-4850	113	10	by	by	ADP
cana-4850	113	11	fine	fine	ADV
cana-4850	113	12	-	-	PUNCT
cana-4850	113	13	tuning	tuning	VERB
cana-4850	113	14	a	a	DET
cana-4850	113	15	pre	pre	ADJ
cana-4850	113	16	-	-	ADJ
cana-4850	113	17	trained	trained	ADJ
cana-4850	113	18	employing	employ	VERB
cana-4850	113	19	a	a	DET
cana-4850	113	20	lstm	lstm	ADJ
cana-4850	113	21	framework	framework	NOUN
cana-4850	113	22	for	for	ADP
cana-4850	113	23	protein	protein	NOUN
cana-4850	113	24	sequences	sequence	NOUN
cana-4850	113	25	[	[	X
cana-4850	113	26	70	70	NUM
cana-4850	113	27	]	]	PUNCT
cana-4850	113	28	.	.	PUNCT
cana-4850	114	1	a.rives	a.rive	NOUN
cana-4850	114	2	demonstrated	demonstrate	VERB
cana-4850	114	3	that	that	SCONJ
cana-4850	114	4	characteristics	characteristic	NOUN
cana-4850	114	5	of	of	ADP
cana-4850	114	6	biology	biology	NOUN
cana-4850	114	7	could	could	AUX
cana-4850	114	8	be	be	AUX
cana-4850	114	9	captured	capture	VERB
cana-4850	114	10	by	by	ADP
cana-4850	114	11	the	the	DET
cana-4850	114	12	lstm	lstm	NOUN
cana-4850	114	13	framework	framework	NOUN
cana-4850	114	14	for	for	ADP
cana-4850	114	15	language	language	NOUN
cana-4850	114	16	[	[	X
cana-4850	114	17	71	71	NUM
cana-4850	114	18	]	]	PUNCT
cana-4850	114	19	.	.	PUNCT
cana-4850	115	1	through	through	ADP
cana-4850	115	2	executing	execute	VERB
cana-4850	115	3	a	a	DET
cana-4850	115	4	controlled	control	VERB
cana-4850	115	5	linear	linear	NOUN
cana-4850	115	6	projection	projection	NOUN
cana-4850	115	7	of	of	ADP
cana-4850	115	8	protein	protein	NOUN
cana-4850	115	9	structure	structure	NOUN
cana-4850	115	10	,	,	PUNCT
cana-4850	115	11	the	the	DET
cana-4850	115	12	initial	initial	ADJ
cana-4850	115	13	attempt	attempt	NOUN
cana-4850	115	14	to	to	PART
cana-4850	115	15	use	use	VERB
cana-4850	115	16	the	the	DET
cana-4850	115	17	linguistic	linguistic	ADJ
cana-4850	115	18	model	model	NOUN
cana-4850	115	19	transformers	transformer	NOUN
cana-4850	115	20	to	to	PART
cana-4850	115	21	analyze	analyze	VERB
cana-4850	115	22	the	the	DET
cana-4850	115	23	protein	protein	NOUN
cana-4850	115	24	structure	structure	NOUN
cana-4850	115	25	demonstrated	demonstrate	VERB
cana-4850	115	26	that	that	SCONJ
cana-4850	115	27	data	datum	NOUN
cana-4850	115	28	regarding	regard	VERB
cana-4850	115	29	the	the	DET
cana-4850	115	30	interaction	interaction	NOUN
cana-4850	115	31	among	among	ADP
cana-4850	115	32	acids	acid	NOUN
cana-4850	115	33	could	could	AUX
cana-4850	115	34	be	be	AUX
cana-4850	115	35	retrieved	retrieve	VERB
cana-4850	115	36	from	from	ADP
cana-4850	115	37	the	the	DET
cana-4850	115	38	learnt	learnt	ADJ
cana-4850	115	39	model	model	NOUN
cana-4850	116	1	[	[	X
cana-4850	116	2	71	71	NUM
cana-4850	116	3	]	]	PUNCT
cana-4850	116	4	.	.	PUNCT
cana-4850	117	1	the	the	DET
cana-4850	117	2	self	self	NOUN
cana-4850	117	3	-	-	PUNCT
cana-4850	117	4	attention	attention	NOUN
cana-4850	117	5	process	process	NOUN
cana-4850	117	6	in	in	ADP
cana-4850	117	7	transformers	transformer	NOUN
cana-4850	117	8	was	be	AUX
cana-4850	117	9	thoroughly	thoroughly	ADV
cana-4850	117	10	examined	examine	VERB
cana-4850	117	11	in	in	ADP
cana-4850	117	12	a	a	DET
cana-4850	117	13	further	further	ADJ
cana-4850	117	14	investigation	investigation	NOUN
cana-4850	117	15	.	.	PUNCT
cana-4850	118	1	it	it	PRON
cana-4850	118	2	discovered	discover	VERB
cana-4850	118	3	that	that	SCONJ
cana-4850	118	4	the	the	DET
cana-4850	118	5	different	different	ADJ
cana-4850	118	6	layers	layer	NOUN
cana-4850	118	7	in	in	ADP
cana-4850	118	8	the	the	DET
cana-4850	118	9	framework	framework	NOUN
cana-4850	118	10	assist	assist	NOUN
cana-4850	118	11	in	in	ADP
cana-4850	118	12	the	the	DET
cana-4850	118	13	investigation	investigation	NOUN
cana-4850	118	14	of	of	ADP
cana-4850	118	15	different	different	ADJ
cana-4850	118	16	properties	property	NOUN
cana-4850	118	17	and	and	CCONJ
cana-4850	118	18	determined	determine	VERB
cana-4850	118	19	its	its	PRON
cana-4850	118	20	relevance	relevance	NOUN
cana-4850	118	21	to	to	PART
cana-4850	118	22	pertinent	pertinent	VERB
cana-4850	118	23	aspects	aspect	NOUN
cana-4850	118	24	of	of	ADP
cana-4850	118	25	biology	biology	NOUN
cana-4850	118	26	[	[	X
cana-4850	118	27	72	72	NUM
cana-4850	118	28	]	]	PUNCT
cana-4850	118	29	.	.	PUNCT
cana-4850	119	1	rao	rao	PROPN
cana-4850	119	2	et	et	PROPN
cana-4850	119	3	al	al	PROPN
cana-4850	119	4	.	.	PUNCT
cana-4850	120	1	[	[	X
cana-4850	120	2	73	73	NUM
cana-4850	120	3	]	]	PUNCT
cana-4850	120	4	contrast	contrast	NOUN
cana-4850	120	5	transformers	transformer	NOUN
cana-4850	120	6	,	,	PUNCT
cana-4850	120	7	which	which	PRON
cana-4850	120	8	were	be	AUX
cana-4850	120	9	developed	develop	VERB
cana-4850	120	10	upon	upon	SCONJ
cana-4850	120	11	a	a	DET
cana-4850	120	12	vast	vast	ADJ
cana-4850	120	13	text	text	NOUN
cana-4850	120	14	database	database	NOUN
cana-4850	120	15	,	,	PUNCT
cana-4850	120	16	with	with	ADP
cana-4850	120	17	the	the	DET
cana-4850	120	18	potts	potts	PROPN
cana-4850	120	19	approach	approach	NOUN
cana-4850	120	20	,	,	PUNCT
cana-4850	120	21	which	which	PRON
cana-4850	120	22	was	be	AUX
cana-4850	120	23	learned	learn	VERB
cana-4850	120	24	with	with	ADP
cana-4850	120	25	single	single	ADJ
cana-4850	120	26	msa	msa	PROPN
cana-4850	120	27	.	.	PUNCT
cana-4850	121	1	the	the	DET
cana-4850	121	2	outcome	outcome	NOUN
cana-4850	121	3	demonstrates	demonstrate	VERB
cana-4850	121	4	that	that	SCONJ
cana-4850	121	5	transformers	transformer	NOUN
cana-4850	121	6	express	express	VERB
cana-4850	121	7	interactions	interaction	NOUN
cana-4850	121	8	immediately	immediately	ADV
cana-4850	121	9	via	via	ADP
cana-4850	121	10	their	their	PRON
cana-4850	121	11	paired	pair	VERB
cana-4850	121	12	element	element	NOUN
cana-4850	121	13	(	(	PUNCT
cana-4850	121	14	self	self	NOUN
cana-4850	121	15	-	-	PUNCT
cana-4850	121	16	attention	attention	NOUN
cana-4850	121	17	)	)	PUNCT
cana-4850	121	18	,	,	PUNCT
cana-4850	121	19	similar	similar	ADJ
cana-4850	121	20	to	to	ADP
cana-4850	121	21	how	how	SCONJ
cana-4850	121	22	the	the	DET
cana-4850	121	23	potts	potts	PROPN
cana-4850	121	24	paradigm	paradigm	NOUN
cana-4850	121	25	does	do	AUX
cana-4850	121	26	by	by	ADP
cana-4850	121	27	way	way	NOUN
cana-4850	121	28	of	of	ADP
cana-4850	121	29	its	its	PRON
cana-4850	121	30	paired	pair	VERB
cana-4850	121	31	components	component	NOUN
cana-4850	121	32	(	(	PUNCT
cana-4850	121	33	weights	weight	NOUN
cana-4850	121	34	)	)	PUNCT
cana-4850	121	35	.	.	PUNCT
cana-4850	122	1	this	this	DET
cana-4850	122	2	work	work	NOUN
cana-4850	122	3	also	also	ADV
cana-4850	122	4	demonstrates	demonstrate	VERB
cana-4850	122	5	the	the	DET
cana-4850	122	6	connection	connection	NOUN
cana-4850	122	7	among	among	ADP
cana-4850	122	8	linguistic	linguistic	ADJ
cana-4850	122	9	model	model	NOUN
cana-4850	122	10	confusion	confusion	NOUN
cana-4850	122	11	,	,	PUNCT
cana-4850	122	12	msa	msa	PROPN
cana-4850	122	13	dimension	dimension	NOUN
cana-4850	122	14	,	,	PUNCT
cana-4850	122	15	and	and	CCONJ
cana-4850	122	16	model	model	NOUN
cana-4850	122	17	efficiency	efficiency	NOUN
cana-4850	122	18	.	.	PUNCT
cana-4850	123	1	a	a	DET
cana-4850	123	2	number	number	NOUN
cana-4850	123	3	of	of	ADP
cana-4850	123	4	additional	additional	ADJ
cana-4850	123	5	research	research	NOUN
cana-4850	123	6	have	have	AUX
cana-4850	123	7	investigated	investigate	VERB
cana-4850	123	8	solutions	solution	NOUN
cana-4850	123	9	to	to	ADP
cana-4850	123	10	masking	mask	VERB
cana-4850	123	11	language	language	NOUN
cana-4850	123	12	modeling	modeling	NOUN
cana-4850	123	13	,	,	PUNCT
cana-4850	123	14	including	include	VERB
cana-4850	123	15	the	the	DET
cana-4850	123	16	use	use	NOUN
cana-4850	123	17	of	of	ADP
cana-4850	123	18	a	a	DET
cana-4850	123	19	set	set	NOUN
cana-4850	123	20	of	of	ADP
cana-4850	123	21	strands	strand	NOUN
cana-4850	123	22	for	for	ADP
cana-4850	123	23	supervising	supervise	VERB
cana-4850	123	24	[	[	X
cana-4850	123	25	74]-[75	74]-[75	X
cana-4850	123	26	]	]	X
cana-4850	123	27	conditioned	condition	VERB
cana-4850	123	28	synthesis	synthesis	NOUN
cana-4850	123	29	[	[	X
cana-4850	123	30	76	76	NUM
cana-4850	123	31	]	]	X
cana-4850	123	32	,	,	PUNCT
cana-4850	123	33	and	and	CCONJ
cana-4850	123	34	a	a	DET
cana-4850	123	35	contrasting	contrast	VERB
cana-4850	123	36	loss	loss	NOUN
cana-4850	123	37	function	function	NOUN
cana-4850	123	38	approach	approach	NOUN
cana-4850	123	39	[	[	X
cana-4850	123	40	50	50	NUM
cana-4850	123	41	]	]	PUNCT
cana-4850	123	42	.	.	PUNCT
cana-4850	124	1	position	position	NOUN
cana-4850	124	2	-	-	PUNCT
cana-4850	124	3	specific	specific	ADJ
cana-4850	124	4	scored	score	VERB
cana-4850	124	5	matrix	matrix	NOUN
cana-4850	124	6	pattern	pattern	NOUN
cana-4850	124	7	prediction	prediction	NOUN
cana-4850	124	8	using	use	VERB
cana-4850	124	9	communications	communication	NOUN
cana-4850	124	10	on	on	ADP
cana-4850	124	11	applied	apply	VERB
cana-4850	124	12	nonlinear	nonlinear	ADJ
cana-4850	124	13	analysis	analysis	NOUN
cana-4850	124	14	issn	issn	NOUN
cana-4850	124	15	:	:	PUNCT
cana-4850	124	16	1074	1074	NUM
cana-4850	124	17	-	-	PUNCT
cana-4850	124	18	133x	133x	NUM
cana-4850	124	19	vol	vol	VERB
cana-4850	124	20	32	32	NUM
cana-4850	124	21	no	no	NOUN
cana-4850	124	22	.	.	PUNCT
cana-4850	125	1	10s	10	NOUN
cana-4850	125	2	(	(	PUNCT
cana-4850	125	3	2025	2025	NUM
cana-4850	125	4	)	)	PUNCT
cana-4850	125	5	627	627	NUM
cana-4850	125	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4850	125	7	unsupervised	unsupervised	ADJ
cana-4850	125	8	modeling	modeling	NOUN
cana-4850	125	9	of	of	ADP
cana-4850	125	10	languages	language	NOUN
cana-4850	125	11	was	be	AUX
cana-4850	125	12	extended	extend	VERB
cana-4850	125	13	by	by	ADP
cana-4850	125	14	sturmfels	sturmfel	NOUN
cana-4850	125	15	et	et	NOUN
cana-4850	125	16	al	al	PROPN
cana-4850	125	17	.	.	PUNCT
cana-4850	126	1	[	[	X
cana-4850	126	2	74	74	NUM
cana-4850	126	3	]	]	PUNCT
cana-4850	126	4	.	.	PUNCT
cana-4850	126	5	depreciated	depreciate	VERB
cana-4850	126	6	optimization	optimization	NOUN
cana-4850	126	7	was	be	AUX
cana-4850	126	8	employed	employ	VERB
cana-4850	126	9	by	by	ADP
cana-4850	126	10	sercu	sercu	PROPN
cana-4850	126	11	et	et	PROPN
cana-4850	126	12	al	al	PROPN
cana-4850	126	13	.	.	PROPN
cana-4850	127	1	to	to	PART
cana-4850	127	2	concurrently	concurrently	ADV
cana-4850	127	3	forecast	forecast	VERB
cana-4850	127	4	profiles	profile	NOUN
cana-4850	127	5	and	and	CCONJ
cana-4850	127	6	bilateral	bilateral	ADJ
cana-4850	127	7	connectivity	connectivity	NOUN
cana-4850	127	8	[	[	X
cana-4850	127	9	75	75	NUM
cana-4850	127	10	]	]	PUNCT
cana-4850	127	11	.	.	PUNCT
cana-4850	128	1	in	in	ADP
cana-4850	128	2	recent	recent	ADJ
cana-4850	128	3	years	year	NOUN
cana-4850	128	4	,	,	PUNCT
cana-4850	128	5	msa	msa	PROPN
cana-4850	128	6	fits	fit	NOUN
cana-4850	128	7	have	have	AUX
cana-4850	128	8	been	be	AUX
cana-4850	128	9	carried	carry	VERB
cana-4850	128	10	out	out	ADP
cana-4850	128	11	using	use	VERB
cana-4850	128	12	a	a	DET
cana-4850	128	13	dl	dl	PROPN
cana-4850	128	14	technique	technique	NOUN
cana-4850	128	15	.	.	PUNCT
cana-4850	129	1	heinzinger	heinzinger	NOUN
cana-4850	129	2	et	et	PROPN
cana-4850	129	3	al	al	PROPN
cana-4850	129	4	.	.	PROPN
cana-4850	129	5	demonstrated	demonstrate	VERB
cana-4850	129	6	that	that	SCONJ
cana-4850	129	7	there	there	PRON
cana-4850	129	8	could	could	AUX
cana-4850	129	9	be	be	AUX
cana-4850	129	10	a	a	DET
cana-4850	129	11	correlation	correlation	NOUN
cana-4850	129	12	between	between	ADP
cana-4850	129	13	protein	protein	NOUN
cana-4850	129	14	structure	structure	NOUN
cana-4850	129	15	and	and	CCONJ
cana-4850	129	16	the	the	DET
cana-4850	129	17	variables	variable	NOUN
cana-4850	129	18	examined	examine	VERB
cana-4850	129	19	using	use	VERB
cana-4850	129	20	the	the	DET
cana-4850	129	21	vae	vae	PROPN
cana-4850	129	22	modelling	modelling	NOUN
cana-4850	129	23	[	[	X
cana-4850	129	24	62	62	NUM
cana-4850	129	25	]	]	PUNCT
cana-4850	129	26	.	.	PUNCT
cana-4850	130	1	smith	smith	PROPN
cana-4850	130	2	et	et	PROPN
cana-4850	130	3	al	al	PROPN
cana-4850	130	4	.	.	PROPN
cana-4850	130	5	optimized	optimize	VERB
cana-4850	130	6	the	the	DET
cana-4850	130	7	overall	overall	ADJ
cana-4850	130	8	architecture	architecture	NOUN
cana-4850	130	9	employing	employ	VERB
cana-4850	130	10	rosetta	rosetta	NOUN
cana-4850	130	11	and	and	CCONJ
cana-4850	130	12	predicted	predict	VERB
cana-4850	130	13	the	the	DET
cana-4850	130	14	paired	pair	VERB
cana-4850	130	15	proximity	proximity	NOUN
cana-4850	130	16	employing	employ	VERB
cana-4850	130	17	the	the	DET
cana-4850	130	18	drn	drn	NOUN
cana-4850	130	19	by	by	ADP
cana-4850	130	20	utilizing	utilize	VERB
cana-4850	130	21	the	the	DET
cana-4850	130	22	potts	potts	PROPN
cana-4850	130	23	algorithm	algorithm	PROPN
cana-4850	130	24	's	's	PART
cana-4850	130	25	properties	property	NOUN
cana-4850	130	26	with	with	ADP
cana-4850	130	27	pseudolikelihood	pseudolikelihood	NOUN
cana-4850	130	28	maximizing	maximize	VERB
cana-4850	130	29	[	[	X
cana-4850	130	30	77]-[78	77]-[78	NOUN
cana-4850	130	31	]	]	PUNCT
cana-4850	130	32	.	.	PUNCT
cana-4850	131	1	transition	transition	NOUN
cana-4850	131	2	and	and	CCONJ
cana-4850	131	3	comparative	comparative	ADJ
cana-4850	131	4	analysis	analysis	NOUN
cana-4850	131	5	:	:	PUNCT
cana-4850	131	6	while	while	SCONJ
cana-4850	131	7	physics	physics	NOUN
cana-4850	131	8	-	-	PUNCT
cana-4850	131	9	based	base	VERB
cana-4850	131	10	methods	method	NOUN
cana-4850	131	11	focus	focus	VERB
cana-4850	131	12	on	on	ADP
cana-4850	131	13	fundamental	fundamental	ADJ
cana-4850	131	14	molecular	molecular	ADJ
cana-4850	131	15	interactions	interaction	NOUN
cana-4850	131	16	,	,	PUNCT
cana-4850	131	17	they	they	PRON
cana-4850	131	18	often	often	ADV
cana-4850	131	19	require	require	VERB
cana-4850	131	20	extensive	extensive	ADJ
cana-4850	131	21	computational	computational	ADJ
cana-4850	131	22	resources	resource	NOUN
cana-4850	131	23	.	.	PUNCT
cana-4850	132	1	in	in	ADP
cana-4850	132	2	contrast	contrast	NOUN
cana-4850	132	3	,	,	PUNCT
cana-4850	132	4	evolutionary	evolutionary	ADJ
cana-4850	132	5	-	-	PUNCT
cana-4850	132	6	based	base	VERB
cana-4850	132	7	methods	method	NOUN
cana-4850	132	8	rely	rely	VERB
cana-4850	132	9	on	on	ADP
cana-4850	132	10	available	available	ADJ
cana-4850	132	11	protein	protein	NOUN
cana-4850	132	12	sequence	sequence	NOUN
cana-4850	132	13	data	datum	NOUN
cana-4850	132	14	but	but	CCONJ
cana-4850	132	15	may	may	AUX
cana-4850	132	16	struggle	struggle	VERB
cana-4850	132	17	with	with	ADP
cana-4850	132	18	novel	novel	ADJ
cana-4850	132	19	proteins	protein	NOUN
cana-4850	132	20	lacking	lack	VERB
cana-4850	132	21	homologs	homolog	NOUN
cana-4850	132	22	.	.	PUNCT
cana-4850	133	1	hybrid	hybrid	ADJ
cana-4850	133	2	approaches	approach	NOUN
cana-4850	133	3	combining	combine	VERB
cana-4850	133	4	both	both	DET
cana-4850	133	5	techniques	technique	NOUN
cana-4850	133	6	—	—	PUNCT
cana-4850	133	7	such	such	ADJ
cana-4850	133	8	as	as	ADP
cana-4850	133	9	deep	deep	ADJ
cana-4850	133	10	learningassisted	learningassiste	VERB
cana-4850	133	11	molecular	molecular	ADJ
cana-4850	133	12	simulations	simulation	NOUN
cana-4850	133	13	—	—	PUNCT
cana-4850	133	14	are	be	AUX
cana-4850	133	15	emerging	emerge	VERB
cana-4850	133	16	as	as	ADP
cana-4850	133	17	promising	promise	VERB
cana-4850	133	18	solutions	solution	NOUN
cana-4850	133	19	to	to	PART
cana-4850	133	20	bridge	bridge	VERB
cana-4850	133	21	the	the	DET
cana-4850	133	22	gap	gap	NOUN
cana-4850	133	23	between	between	ADP
cana-4850	133	24	these	these	DET
cana-4850	133	25	two	two	NUM
cana-4850	133	26	paradigms	paradigm	NOUN
cana-4850	133	27	.	.	PUNCT
cana-4850	134	1	4	4	X
cana-4850	134	2	.	.	X
cana-4850	134	3	protein	protein	NOUN
cana-4850	134	4	structural	structural	ADJ
cana-4850	134	5	predictions	prediction	NOUN
cana-4850	134	6	utilizing	utilize	VERB
cana-4850	134	7	ml	ml	X
cana-4850	134	8	and	and	CCONJ
cana-4850	134	9	dl	dl	PROPN
cana-4850	134	10	approach	approach	NOUN
cana-4850	134	11	protein	protein	NOUN
cana-4850	134	12	frameworks	framework	NOUN
cana-4850	134	13	,	,	PUNCT
cana-4850	134	14	in	in	ADP
cana-4850	134	15	contrast	contrast	NOUN
cana-4850	134	16	,	,	PUNCT
cana-4850	134	17	are	be	AUX
cana-4850	134	18	frequently	frequently	ADV
cana-4850	134	19	difficult	difficult	ADJ
cana-4850	134	20	to	to	PART
cana-4850	134	21	establish	establish	VERB
cana-4850	134	22	via	via	ADP
cana-4850	134	23	experimentation	experimentation	NOUN
cana-4850	134	24	.	.	PUNCT
cana-4850	135	1	however	however	ADV
cana-4850	135	2	,	,	PUNCT
cana-4850	135	3	using	use	VERB
cana-4850	135	4	gene	gene	NOUN
cana-4850	135	5	data	datum	NOUN
cana-4850	135	6	has	have	AUX
cana-4850	135	7	recently	recently	ADV
cana-4850	135	8	led	lead	VERB
cana-4850	135	9	to	to	ADP
cana-4850	135	10	significant	significant	ADJ
cana-4850	135	11	advancements	advancement	NOUN
cana-4850	135	12	.	.	PUNCT
cana-4850	136	1	it	it	PRON
cana-4850	136	2	has	have	AUX
cana-4850	136	3	been	be	AUX
cana-4850	136	4	feasible	feasible	ADJ
cana-4850	136	5	to	to	PART
cana-4850	136	6	determine	determine	VERB
cana-4850	136	7	which	which	DET
cana-4850	136	8	amino	amino	NOUN
cana-4850	136	9	acid	acid	NOUN
cana-4850	136	10	outcomes	outcome	NOUN
cana-4850	136	11	have	have	AUX
cana-4850	136	12	previously	previously	ADV
cana-4850	136	13	been	be	AUX
cana-4850	136	14	in	in	ADP
cana-4850	136	15	communication	communication	NOUN
cana-4850	136	16	through	through	ADP
cana-4850	136	17	examining	examine	VERB
cana-4850	136	18	relationship	relationship	NOUN
cana-4850	136	19	in	in	ADP
cana-4850	136	20	relatives	relative	NOUN
cana-4850	136	21	,	,	PUNCT
cana-4850	136	22	which	which	PRON
cana-4850	136	23	aid	aid	VERB
cana-4850	136	24	in	in	ADP
cana-4850	136	25	structuring	structure	VERB
cana-4850	136	26	proteins	protein	NOUN
cana-4850	136	27	forecasting	forecasting	NOUN
cana-4850	136	28	services	service	NOUN
cana-4850	136	29	.	.	PUNCT
cana-4850	137	1	we	we	PRON
cana-4850	137	2	demonstrate	demonstrate	VERB
cana-4850	137	3	how	how	SCONJ
cana-4850	137	4	artificial	artificial	ADJ
cana-4850	137	5	neural	neural	ADJ
cana-4850	137	6	networks	network	NOUN
cana-4850	137	7	has	have	AUX
cana-4850	137	8	been	be	AUX
cana-4850	137	9	developed	develop	VERB
cana-4850	137	10	for	for	ADP
cana-4850	137	11	predicting	predict	VERB
cana-4850	137	12	distances	distance	NOUN
cana-4850	137	13	across	across	ADP
cana-4850	137	14	relationships	relationship	NOUN
cana-4850	137	15	of	of	ADP
cana-4850	137	16	contributions	contribution	NOUN
cana-4850	137	17	,	,	PUNCT
cana-4850	137	18	that	that	PRON
cana-4850	137	19	additionally	additionally	ADV
cana-4850	137	20	offer	offer	VERB
cana-4850	137	21	more	more	ADJ
cana-4850	137	22	fundamental	fundamental	ADJ
cana-4850	137	23	data	datum	NOUN
cana-4850	137	24	than	than	ADP
cana-4850	137	25	association	association	NOUN
cana-4850	137	26	forecasts	forecast	NOUN
cana-4850	137	27	protein	protein	NOUN
cana-4850	137	28	framework	framework	NOUN
cana-4850	137	29	forecasting	forecasting	NOUN
cana-4850	137	30	represents	represent	VERB
cana-4850	137	31	a	a	DET
cana-4850	137	32	technique	technique	NOUN
cana-4850	137	33	for	for	ADP
cana-4850	137	34	prediction	prediction	NOUN
cana-4850	137	35	a	a	DET
cana-4850	137	36	substance	substance	NOUN
cana-4850	137	37	's	's	PART
cana-4850	137	38	3	3	NUM
cana-4850	137	39	-	-	PUNCT
cana-4850	137	40	d	d	NOUN
cana-4850	137	41	shape	shape	NOUN
cana-4850	137	42	determined	determine	VERB
cana-4850	137	43	by	by	ADP
cana-4850	137	44	which	which	PRON
cana-4850	137	45	is	be	AUX
cana-4850	137	46	amino	amino	NOUN
cana-4850	137	47	acid	acid	NOUN
cana-4850	137	48	linkage	linkage	NOUN
cana-4850	137	49	.	.	PUNCT
cana-4850	138	1	this	this	PRON
cana-4850	138	2	becomes	become	VERB
cana-4850	138	3	a	a	DET
cana-4850	138	4	crucial	crucial	ADJ
cana-4850	138	5	test	test	NOUN
cana-4850	138	6	because	because	SCONJ
cana-4850	138	7	the	the	DET
cana-4850	138	8	structural	structural	ADJ
cana-4850	138	9	makeup	makeup	NOUN
cana-4850	138	10	of	of	ADP
cana-4850	138	11	a	a	DET
cana-4850	138	12	protein	protein	NOUN
cana-4850	138	13	determines	determine	VERB
cana-4850	138	14	its	its	PRON
cana-4850	138	15	functionality	functionality	NOUN
cana-4850	138	16	to	to	ADP
cana-4850	138	17	an	an	DET
cana-4850	138	18	extensive	extensive	ADJ
cana-4850	138	19	dimension	dimension	NOUN
cana-4850	138	20	.	.	PUNCT
cana-4850	139	1	figure	figure	NOUN
cana-4850	139	2	3	3	NUM
cana-4850	139	3	:	:	PUNCT
cana-4850	139	4	dl	dl	ADJ
cana-4850	139	5	-	-	PUNCT
cana-4850	139	6	based	base	VERB
cana-4850	139	7	protein	protein	NOUN
cana-4850	139	8	structure	structure	NOUN
cana-4850	139	9	prediction	prediction	NOUN
cana-4850	140	1	[	[	X
cana-4850	140	2	79	79	NUM
cana-4850	140	3	]	]	PUNCT
cana-4850	140	4	communications	communication	NOUN
cana-4850	140	5	on	on	ADP
cana-4850	140	6	applied	apply	VERB
cana-4850	140	7	nonlinear	nonlinear	ADJ
cana-4850	140	8	analysis	analysis	NOUN
cana-4850	140	9	issn	issn	NOUN
cana-4850	140	10	:	:	PUNCT
cana-4850	140	11	1074	1074	NUM
cana-4850	140	12	-	-	PUNCT
cana-4850	140	13	133x	133x	NUM
cana-4850	140	14	vol	vol	VERB
cana-4850	140	15	32	32	NUM
cana-4850	140	16	no	no	NOUN
cana-4850	140	17	.	.	PUNCT
cana-4850	141	1	10s	10	NOUN
cana-4850	141	2	(	(	PUNCT
cana-4850	141	3	2025	2025	NUM
cana-4850	141	4	)	)	PUNCT
cana-4850	141	5	628	628	NUM
cana-4850	141	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4850	141	7	to	to	PART
cana-4850	141	8	develop	develop	VERB
cana-4850	141	9	commercial	commercial	ADJ
cana-4850	141	10	strains	strain	NOUN
cana-4850	141	11	capable	capable	ADJ
cana-4850	141	12	of	of	ADP
cana-4850	141	13	excessive	excessive	ADJ
cana-4850	141	14	production	production	NOUN
cana-4850	141	15	bioproducts	bioproduct	NOUN
cana-4850	141	16	,	,	PUNCT
cana-4850	141	17	physiological	physiological	ADJ
cana-4850	141	18	engineering	engineering	NOUN
cana-4850	141	19	requires	require	VERB
cana-4850	141	20	a	a	DET
cana-4850	141	21	thorough	thorough	ADJ
cana-4850	141	22	understanding	understanding	NOUN
cana-4850	141	23	of	of	ADP
cana-4850	141	24	cellular	cellular	ADJ
cana-4850	141	25	metabolism	metabolism	NOUN
cana-4850	141	26	,	,	PUNCT
cana-4850	141	27	including	include	VERB
cana-4850	141	28	metabolic	metabolic	NOUN
cana-4850	141	29	processes	process	NOUN
cana-4850	141	30	and	and	CCONJ
cana-4850	141	31	catalysts	catalyst	NOUN
cana-4850	141	32	[	[	X
cana-4850	141	33	80	80	NUM
cana-4850	141	34	]	]	PUNCT
cana-4850	141	35	.	.	PUNCT
cana-4850	142	1	a	a	DET
cana-4850	142	2	significant	significant	ADJ
cana-4850	142	3	obstacle	obstacle	NOUN
cana-4850	142	4	to	to	ADP
cana-4850	142	5	their	their	PRON
cana-4850	142	6	biosynthesis	biosynthesis	NOUN
cana-4850	142	7	is	be	AUX
cana-4850	142	8	revealed	reveal	VERB
cana-4850	142	9	by	by	ADP
cana-4850	142	10	the	the	DET
cana-4850	142	11	fact	fact	NOUN
cana-4850	142	12	that	that	SCONJ
cana-4850	142	13	the	the	DET
cana-4850	142	14	metabolic	metabolic	NOUN
cana-4850	142	15	pathways	pathway	NOUN
cana-4850	142	16	and	and	CCONJ
cana-4850	142	17	enzymes	enzyme	NOUN
cana-4850	142	18	involved	involve	VERB
cana-4850	142	19	in	in	ADP
cana-4850	142	20	many	many	ADJ
cana-4850	142	21	molecules	molecule	NOUN
cana-4850	142	22	of	of	ADP
cana-4850	142	23	significance	significance	NOUN
cana-4850	142	24	remain	remain	VERB
cana-4850	142	25	unknown	unknown	ADJ
cana-4850	142	26	.	.	PUNCT
cana-4850	143	1	by	by	ADP
cana-4850	143	2	designing	design	VERB
cana-4850	143	3	new	new	ADJ
cana-4850	143	4	biochemical	biochemical	ADJ
cana-4850	143	5	routes	route	NOUN
cana-4850	143	6	and	and	CCONJ
cana-4850	143	7	enzymes	enzyme	NOUN
cana-4850	143	8	,	,	PUNCT
cana-4850	143	9	this	this	DET
cana-4850	143	10	issue	issue	NOUN
cana-4850	143	11	may	may	AUX
cana-4850	143	12	become	become	AUX
cana-4850	143	13	partially	partially	ADV
cana-4850	143	14	resolved	resolve	VERB
cana-4850	143	15	.	.	PUNCT
cana-4850	144	1	with	with	ADP
cana-4850	144	2	the	the	DET
cana-4850	144	3	growth	growth	NOUN
cana-4850	144	4	of	of	ADP
cana-4850	144	5	bio	bio	ADJ
cana-4850	144	6	-	-	ADJ
cana-4850	144	7	big	big	ADJ
cana-4850	144	8	information	information	NOUN
cana-4850	144	9	,	,	PUNCT
cana-4850	144	10	data	data	NOUN
cana-4850	144	11	-	-	PUNCT
cana-4850	144	12	driven	drive	VERB
cana-4850	144	13	approaches	approach	NOUN
cana-4850	144	14	that	that	PRON
cana-4850	144	15	make	make	VERB
cana-4850	144	16	use	use	NOUN
cana-4850	144	17	of	of	ADP
cana-4850	144	18	ai	ai	ADJ
cana-4850	144	19	tools	tool	NOUN
cana-4850	144	20	enable	enable	VERB
cana-4850	144	21	very	very	ADV
cana-4850	144	22	complex	complex	ADJ
cana-4850	144	23	protein	protein	NOUN
cana-4850	144	24	and	and	CCONJ
cana-4850	144	25	network	network	NOUN
cana-4850	144	26	models	model	NOUN
cana-4850	144	27	.	.	PUNCT
cana-4850	145	1	the	the	DET
cana-4850	145	2	present	present	ADJ
cana-4850	145	3	study	study	NOUN
cana-4850	145	4	on	on	ADP
cana-4850	145	5	ai	ai	ADJ
cana-4850	145	6	-	-	PUNCT
cana-4850	145	7	assisted	assist	VERB
cana-4850	145	8	molecular	molecular	ADJ
cana-4850	145	9	production	production	NOUN
cana-4850	145	10	and	and	CCONJ
cana-4850	145	11	design	design	NOUN
cana-4850	145	12	has	have	AUX
cana-4850	145	13	likely	likely	ADV
cana-4850	145	14	focused	focus	VERB
cana-4850	145	15	on	on	ADP
cana-4850	145	16	controlled	control	VERB
cana-4850	145	17	advancement	advancement	NOUN
cana-4850	145	18	,	,	PUNCT
cana-4850	145	19	which	which	PRON
cana-4850	145	20	also	also	ADV
cana-4850	145	21	makes	make	VERB
cana-4850	145	22	use	use	NOUN
cana-4850	145	23	of	of	ADP
cana-4850	145	24	ai	ai	VERB
cana-4850	145	25	to	to	PART
cana-4850	145	26	rapidly	rapidly	ADV
cana-4850	145	27	generate	generate	VERB
cana-4850	145	28	mutation	mutation	NOUN
cana-4850	145	29	library	library	NOUN
cana-4850	145	30	.	.	PUNCT
cana-4850	146	1	although	although	SCONJ
cana-4850	146	2	protein	protein	NOUN
cana-4850	146	3	framework	framework	NOUN
cana-4850	146	4	forecasting	forecasting	NOUN
cana-4850	146	5	represents	represent	VERB
cana-4850	146	6	a	a	DET
cana-4850	146	7	complicated	complicated	ADJ
cana-4850	146	8	issue	issue	NOUN
cana-4850	146	9	,	,	PUNCT
cana-4850	146	10	it	it	PRON
cana-4850	146	11	is	be	AUX
cana-4850	146	12	further	far	ADV
cana-4850	146	13	frequently	frequently	ADV
cana-4850	146	14	divided	divide	VERB
cana-4850	146	15	into	into	ADP
cana-4850	146	16	and	and	CCONJ
cana-4850	146	17	addressed	address	VERB
cana-4850	146	18	at	at	ADP
cana-4850	146	19	multiple	multiple	ADJ
cana-4850	146	20	phases	phase	NOUN
cana-4850	146	21	:	:	PUNCT
cana-4850	146	22	1	1	NUM
cana-4850	146	23	-	-	SYM
cana-4850	146	24	d	d	NOUN
cana-4850	146	25	prediction	prediction	NOUN
cana-4850	146	26	of	of	ADP
cana-4850	146	27	structural	structural	ADJ
cana-4850	146	28	features	feature	NOUN
cana-4850	146	29	together	together	ADV
cana-4850	146	30	the	the	DET
cana-4850	146	31	crucial	crucial	ADJ
cana-4850	146	32	amino	amino	NOUN
cana-4850	146	33	acid	acid	NOUN
cana-4850	146	34	pattern	pattern	NOUN
cana-4850	146	35	;	;	PUNCT
cana-4850	146	36	2	2	NUM
cana-4850	146	37	-	-	SYM
cana-4850	146	38	d	d	NOUN
cana-4850	146	39	forecasting	forecasting	NOUN
cana-4850	146	40	of	of	ADP
cana-4850	146	41	geographical	geographical	ADJ
cana-4850	146	42	interaction	interaction	NOUN
cana-4850	146	43	between	between	ADP
cana-4850	146	44	amino	amino	NOUN
cana-4850	146	45	acids	acid	NOUN
cana-4850	146	46	;	;	PUNCT
cana-4850	146	47	3	3	NUM
cana-4850	146	48	-	-	SYM
cana-4850	146	49	d	d	NOUN
cana-4850	146	50	prediction	prediction	NOUN
cana-4850	146	51	of	of	ADP
cana-4850	146	52	a	a	DET
cana-4850	146	53	protein	protein	NOUN
cana-4850	146	54	's	's	PART
cana-4850	146	55	secondary	secondary	ADJ
cana-4850	146	56	development	development	NOUN
cana-4850	146	57	;	;	PUNCT
cana-4850	146	58	and	and	CCONJ
cana-4850	146	59	4	4	NUM
cana-4850	146	60	-	-	SYM
cana-4850	146	61	d	d	NOUN
cana-4850	146	62	forecasting	forecasting	NOUN
cana-4850	146	63	of	of	ADP
cana-4850	146	64	a	a	DET
cana-4850	146	65	multi	multi	ADJ
cana-4850	146	66	-	-	ADJ
cana-4850	146	67	protein	protein	ADJ
cana-4850	146	68	complex	complex	NOUN
cana-4850	146	69	's	's	PART
cana-4850	146	70	quaternary	quaternary	ADJ
cana-4850	146	71	configuration	configuration	NOUN
cana-4850	146	72	.	.	PUNCT
cana-4850	147	1	ai	ai	VERB
cana-4850	147	2	techniques	technique	NOUN
cana-4850	147	3	have	have	AUX
cana-4850	147	4	been	be	AUX
cana-4850	147	5	used	use	VERB
cana-4850	147	6	frequently	frequently	ADV
cana-4850	147	7	in	in	ADP
cana-4850	147	8	information	information	NOUN
cana-4850	147	9	science	science	NOUN
cana-4850	147	10	,	,	PUNCT
cana-4850	147	11	mathematical	mathematical	ADJ
cana-4850	147	12	biology	biology	NOUN
cana-4850	147	13	,	,	PUNCT
cana-4850	147	14	and	and	CCONJ
cana-4850	147	15	structures	structure	VERB
cana-4850	147	16	science	science	NOUN
cana-4850	147	17	.	.	PUNCT
cana-4850	148	1	the	the	DET
cana-4850	148	2	development	development	NOUN
cana-4850	148	3	of	of	ADP
cana-4850	148	4	ml	ml	ADP
cana-4850	148	5	approaches	approach	NOUN
cana-4850	148	6	to	to	ADP
cana-4850	148	7	protein	protein	NOUN
cana-4850	148	8	framework	framework	NOUN
cana-4850	148	9	forecasting	forecasting	NOUN
cana-4850	148	10	appears	appear	VERB
cana-4850	148	11	to	to	PART
cana-4850	148	12	have	have	VERB
cana-4850	148	13	significant	significant	ADJ
cana-4850	148	14	effects	effect	NOUN
cana-4850	148	15	in	in	ADP
cana-4850	148	16	both	both	DET
cana-4850	148	17	bioinformatics	bioinformatics	NOUN
cana-4850	148	18	and	and	CCONJ
cana-4850	148	19	comprehensive	comprehensive	ADJ
cana-4850	148	20	biology	biology	NOUN
cana-4850	148	21	[	[	X
cana-4850	148	22	81	81	NUM
cana-4850	148	23	]	]	PUNCT
cana-4850	148	24	.	.	PUNCT
cana-4850	149	1	because	because	SCONJ
cana-4850	149	2	of	of	ADP
cana-4850	149	3	the	the	DET
cana-4850	149	4	importance	importance	NOUN
cana-4850	149	5	of	of	ADP
cana-4850	149	6	the	the	DET
cana-4850	149	7	observed	observed	ADJ
cana-4850	149	8	challenge	challenge	NOUN
cana-4850	149	9	,	,	PUNCT
cana-4850	149	10	its	its	PRON
cana-4850	149	11	established	establish	VERB
cana-4850	149	12	physics	physics	NOUN
cana-4850	149	13	,	,	PUNCT
cana-4850	149	14	and	and	CCONJ
cana-4850	149	15	its	its	PRON
cana-4850	149	16	statistical	statistical	ADJ
cana-4850	149	17	foundation	foundation	NOUN
cana-4850	149	18	,	,	PUNCT
cana-4850	149	19	peptide	peptide	ADJ
cana-4850	149	20	structure	structure	NOUN
cana-4850	149	21	prediction	prediction	NOUN
cana-4850	149	22	from	from	ADP
cana-4850	149	23	sequencing	sequence	VERB
cana-4850	149	24	has	have	AUX
cana-4850	149	25	in	in	ADP
cana-4850	149	26	fact	fact	NOUN
cana-4850	149	27	been	be	AUX
cana-4850	149	28	the	the	DET
cana-4850	149	29	subject	subject	NOUN
cana-4850	149	30	of	of	ADP
cana-4850	149	31	numerous	numerous	ADJ
cana-4850	149	32	studies	study	NOUN
cana-4850	149	33	for	for	ADP
cana-4850	149	34	years	year	NOUN
cana-4850	149	35	[	[	X
cana-4850	149	36	82	82	NUM
cana-4850	149	37	]	]	PUNCT
cana-4850	149	38	.	.	PUNCT
cana-4850	150	1	although	although	SCONJ
cana-4850	150	2	progress	progress	NOUN
cana-4850	150	3	has	have	AUX
cana-4850	150	4	fluctuated	fluctuate	VERB
cana-4850	150	5	over	over	ADP
cana-4850	150	6	decades	decade	NOUN
cana-4850	150	7	,	,	PUNCT
cana-4850	150	8	the	the	DET
cana-4850	150	9	"	"	PUNCT
cana-4850	150	10	neutralization	neutralization	NOUN
cana-4850	150	11	"	"	PUNCT
cana-4850	150	12	of	of	ADP
cana-4850	150	13	structural	structural	ADJ
cana-4850	150	14	forecasting	forecasting	NOUN
cana-4850	150	15	algorithms	algorithm	NOUN
cana-4850	150	16	has	have	AUX
cana-4850	150	17	advanced	advance	VERB
cana-4850	150	18	significantly	significantly	ADV
cana-4850	150	19	in	in	ADP
cana-4850	150	20	the	the	DET
cana-4850	150	21	earlier	early	ADJ
cana-4850	150	22	decade	decade	NOUN
cana-4850	150	23	,	,	PUNCT
cana-4850	150	24	including	include	VERB
cana-4850	150	25	neural	neural	ADJ
cana-4850	150	26	networks	network	NOUN
cana-4850	150	27	replacing	replace	VERB
cana-4850	150	28	algorithms	algorithm	NOUN
cana-4850	150	29	that	that	PRON
cana-4850	150	30	previously	previously	ADV
cana-4850	150	31	relied	rely	VERB
cana-4850	150	32	on	on	ADP
cana-4850	150	33	energy	energy	NOUN
cana-4850	150	34	models	model	NOUN
cana-4850	150	35	and	and	CCONJ
cana-4850	150	36	sampled	sample	VERB
cana-4850	150	37	processes	process	NOUN
cana-4850	150	38	.	.	PUNCT
cana-4850	151	1	with	with	ADP
cana-4850	151	2	this	this	DET
cana-4850	151	3	research	research	NOUN
cana-4850	151	4	,	,	PUNCT
cana-4850	151	5	a	a	DET
cana-4850	151	6	dnn	dnn	PROPN
cana-4850	151	7	mechanism	mechanism	NOUN
cana-4850	151	8	for	for	ADP
cana-4850	151	9	detecting	detect	VERB
cana-4850	151	10	protein	protein	NOUN
cana-4850	151	11	-	-	PUNCT
cana-4850	151	12	ligand	ligand	NOUN
cana-4850	151	13	interactions	interaction	NOUN
cana-4850	151	14	effectively	effectively	ADV
cana-4850	151	15	when	when	SCONJ
cana-4850	151	16	using	use	VERB
cana-4850	151	17	the	the	DET
cana-4850	151	18	medication	medication	NOUN
cana-4850	151	19	important	important	ADJ
cana-4850	151	20	had	have	AUX
cana-4850	151	21	been	be	AUX
cana-4850	151	22	developed	develop	VERB
cana-4850	151	23	[	[	X
cana-4850	151	24	82	82	NUM
cana-4850	151	25	]	]	PUNCT
cana-4850	151	26	.	.	PUNCT
cana-4850	152	1	the	the	DET
cana-4850	152	2	dnn	dnn	PROPN
cana-4850	152	3	determines	determine	VERB
cana-4850	152	4	which	which	DET
cana-4850	152	5	medication	medication	NOUN
cana-4850	152	6	creates	create	VERB
cana-4850	152	7	the	the	DET
cana-4850	152	8	most	most	ADV
cana-4850	152	9	effective	effective	ADJ
cana-4850	152	10	virus	virus	NOUN
cana-4850	152	11	-	-	PUNCT
cana-4850	152	12	fighting	fight	VERB
cana-4850	152	13	response	response	NOUN
cana-4850	152	14	and	and	CCONJ
cana-4850	152	15	recognizes	recognize	VERB
cana-4850	152	16	protein	protein	NOUN
cana-4850	152	17	-	-	PUNCT
cana-4850	152	18	ligand	ligand	NOUN
cana-4850	152	19	interactions	interaction	NOUN
cana-4850	152	20	for	for	ADP
cana-4850	152	21	a	a	DET
cana-4850	152	22	certain	certain	ADJ
cana-4850	152	23	medication	medication	NOUN
cana-4850	152	24	.	.	PUNCT
cana-4850	153	1	protein	protein	NOUN
cana-4850	153	2	-	-	PUNCT
cana-4850	153	3	ligand	ligand	NOUN
cana-4850	153	4	associations	association	NOUN
cana-4850	153	5	for	for	ADP
cana-4850	153	6	a	a	DET
cana-4850	153	7	single	single	ADJ
cana-4850	153	8	medicine	medicine	NOUN
cana-4850	153	9	are	be	AUX
cana-4850	153	10	effectively	effectively	ADV
cana-4850	153	11	shown	show	VERB
cana-4850	153	12	by	by	ADP
cana-4850	153	13	the	the	DET
cana-4850	153	14	dnn	dnn	PROPN
cana-4850	153	15	using	use	VERB
cana-4850	153	16	a	a	DET
cana-4850	153	17	restricted	restricted	ADJ
cana-4850	153	18	genome	genome	NOUN
cana-4850	153	19	assembly	assembly	NOUN
cana-4850	153	20	of	of	ADP
cana-4850	153	21	indian	indian	ADJ
cana-4850	153	22	individuals	individual	NOUN
cana-4850	153	23	submitted	submit	VERB
cana-4850	153	24	to	to	ADP
cana-4850	153	25	the	the	DET
cana-4850	153	26	gisaid	gisaid	NOUN
cana-4850	153	27	dataset	dataset	NOUN
cana-4850	153	28	[	[	X
cana-4850	153	29	83	83	NUM
cana-4850	153	30	]	]	PUNCT
cana-4850	153	31	.	.	PUNCT
cana-4850	154	1	in	in	ADP
cana-4850	154	2	subsequent	subsequent	ADJ
cana-4850	154	3	decades	decade	NOUN
cana-4850	154	4	,	,	PUNCT
cana-4850	154	5	the	the	DET
cana-4850	154	6	study	study	NOUN
cana-4850	154	7	may	may	AUX
cana-4850	154	8	be	be	AUX
cana-4850	154	9	expanded	expand	VERB
cana-4850	154	10	to	to	PART
cana-4850	154	11	include	include	VERB
cana-4850	154	12	a	a	DET
cana-4850	154	13	combination	combination	NOUN
cana-4850	154	14	of	of	ADP
cana-4850	154	15	dl	dl	PROPN
cana-4850	154	16	techniques	technique	NOUN
cana-4850	154	17	to	to	PART
cana-4850	154	18	thoroughly	thoroughly	ADV
cana-4850	154	19	evaluate	evaluate	VERB
cana-4850	154	20	the	the	DET
cana-4850	154	21	peptide	peptide	NOUN
cana-4850	154	22	sequence	sequence	NOUN
cana-4850	154	23	resulting	result	VERB
cana-4850	154	24	from	from	ADP
cana-4850	154	25	protein	protein	NOUN
cana-4850	154	26	-	-	PUNCT
cana-4850	154	27	ligand	ligand	NOUN
cana-4850	154	28	relationships	relationship	NOUN
cana-4850	154	29	.	.	PUNCT
cana-4850	155	1	given	give	VERB
cana-4850	155	2	their	their	PRON
cana-4850	155	3	popularity	popularity	NOUN
cana-4850	155	4	,	,	PUNCT
cana-4850	155	5	clustering	clustering	NOUN
cana-4850	155	6	-	-	PUNCT
cana-4850	155	7	dependent	dependent	ADJ
cana-4850	155	8	algorithms	algorithm	NOUN
cana-4850	155	9	fail	fail	VERB
cana-4850	155	10	to	to	PART
cana-4850	155	11	identify	identify	VERB
cana-4850	155	12	good	good	ADJ
cana-4850	155	13	/	/	SYM
cana-4850	155	14	near	near	ADP
cana-4850	155	15	-	-	PUNCT
cana-4850	155	16	native	native	ADJ
cana-4850	155	17	imitations	imitation	NOUN
cana-4850	155	18	on	on	ADP
cana-4850	155	19	historical	historical	ADJ
cana-4850	155	20	data	datum	NOUN
cana-4850	155	21	when	when	SCONJ
cana-4850	155	22	structural	structural	ADJ
cana-4850	155	23	protein	protein	NOUN
cana-4850	155	24	forecasting	forecasting	NOUN
cana-4850	155	25	approaches	approach	NOUN
cana-4850	155	26	appear	appear	VERB
cana-4850	155	27	to	to	PART
cana-4850	155	28	drastically	drastically	ADV
cana-4850	155	29	under	under	ADP
cana-4850	155	30	-	-	PUNCT
cana-4850	155	31	sample	sample	NOUN
cana-4850	155	32	near	near	ADP
cana-4850	155	33	-	-	PUNCT
cana-4850	155	34	native	native	ADJ
cana-4850	155	35	imitations	imitation	NOUN
cana-4850	155	36	[	[	X
cana-4850	155	37	84	84	NUM
cana-4850	155	38	]	]	PUNCT
cana-4850	155	39	.	.	PUNCT
cana-4850	156	1	however	however	ADV
cana-4850	156	2	,	,	PUNCT
cana-4850	156	3	it	it	PRON
cana-4850	156	4	takes	take	VERB
cana-4850	156	5	much	much	ADV
cana-4850	156	6	longer	long	ADJ
cana-4850	156	7	to	to	PART
cana-4850	156	8	gather	gather	VERB
cana-4850	156	9	reservoirs	reservoir	NOUN
cana-4850	156	10	from	from	ADP
cana-4850	156	11	the	the	DET
cana-4850	156	12	ground	ground	NOUN
cana-4850	156	13	employing	employ	VERB
cana-4850	156	14	these	these	DET
cana-4850	156	15	methods	method	NOUN
cana-4850	156	16	.	.	PUNCT
cana-4850	157	1	an	an	DET
cana-4850	157	2	inventive	inventive	ADJ
cana-4850	157	3	deceptive	deceptive	ADJ
cana-4850	157	4	techniques	technique	NOUN
cana-4850	157	5	selecting	select	VERB
cana-4850	157	6	method	method	NOUN
cana-4850	157	7	based	base	VERB
cana-4850	157	8	on	on	ADP
cana-4850	157	9	non	non	ADJ
cana-4850	157	10	-	-	ADJ
cana-4850	157	11	matrix	matrix	ADJ
cana-4850	157	12	decomposition	decomposition	NOUN
cana-4850	157	13	is	be	AUX
cana-4850	157	14	proposed	propose	VERB
cana-4850	157	15	in	in	ADP
cana-4850	157	16	this	this	DET
cana-4850	157	17	work	work	NOUN
cana-4850	157	18	.	.	PUNCT
cana-4850	158	1	it	it	PRON
cana-4850	158	2	proves	prove	VERB
cana-4850	158	3	that	that	SCONJ
cana-4850	158	4	the	the	DET
cana-4850	158	5	suggested	suggest	VERB
cana-4850	158	6	approach	approach	NOUN
cana-4850	158	7	outperforms	outperform	VERB
cana-4850	158	8	the	the	DET
cana-4850	158	9	energy	energy	NOUN
cana-4850	158	10	landscape	landscape	NOUN
cana-4850	158	11	-	-	PUNCT
cana-4850	158	12	based	base	VERB
cana-4850	158	13	approach	approach	NOUN
cana-4850	158	14	.	.	PUNCT
cana-4850	159	1	the	the	DET
cana-4850	159	2	time	time	NOUN
cana-4850	159	3	complexity	complexity	NOUN
cana-4850	159	4	issue	issue	NOUN
cana-4850	159	5	and	and	CCONJ
cana-4850	159	6	the	the	DET
cana-4850	159	7	challenges	challenge	NOUN
cana-4850	159	8	of	of	ADP
cana-4850	159	9	locating	locate	VERB
cana-4850	159	10	suitable	suitable	ADJ
cana-4850	159	11	deception	deception	NOUN
cana-4850	159	12	in	in	ADP
cana-4850	159	13	an	an	DET
cana-4850	159	14	extremely	extremely	ADV
cana-4850	159	15	sparse	sparse	ADJ
cana-4850	159	16	dataset	dataset	NOUN
cana-4850	159	17	are	be	AUX
cana-4850	159	18	both	both	PRON
cana-4850	159	19	addressed	address	VERB
cana-4850	159	20	by	by	ADP
cana-4850	159	21	this	this	DET
cana-4850	159	22	same	same	ADJ
cana-4850	159	23	proposed	propose	VERB
cana-4850	159	24	approach	approach	NOUN
cana-4850	159	25	,	,	PUNCT
cana-4850	159	26	which	which	PRON
cana-4850	159	27	successfully	successfully	ADV
cana-4850	159	28	identifies	identify	VERB
cana-4850	159	29	near	near	ADP
cana-4850	159	30	-	-	PUNCT
cana-4850	159	31	native	native	ADJ
cana-4850	159	32	deception	deception	NOUN
cana-4850	159	33	across	across	ADP
cana-4850	159	34	simple	simple	ADJ
cana-4850	159	35	and	and	CCONJ
cana-4850	159	36	difficult	difficult	ADJ
cana-4850	159	37	protein	protein	NOUN
cana-4850	159	38	receptors	receptor	NOUN
cana-4850	159	39	.	.	PUNCT
cana-4850	160	1	the	the	DET
cana-4850	160	2	understanding	understanding	NOUN
cana-4850	160	3	of	of	ADP
cana-4850	160	4	amino	amino	NOUN
cana-4850	160	5	acid	acid	NOUN
cana-4850	160	6	design	design	NOUN
cana-4850	160	7	has	have	AUX
cana-4850	160	8	already	already	ADV
cana-4850	160	9	advanced	advance	VERB
cana-4850	160	10	significantly	significantly	ADV
cana-4850	160	11	as	as	ADP
cana-4850	160	12	a	a	DET
cana-4850	160	13	result	result	NOUN
cana-4850	160	14	of	of	ADP
cana-4850	160	15	the	the	DET
cana-4850	160	16	pdb	pdb	NOUN
cana-4850	160	17	's	's	PART
cana-4850	160	18	enormous	enormous	ADJ
cana-4850	160	19	collection	collection	NOUN
cana-4850	160	20	of	of	ADP
cana-4850	160	21	3d	3d	PROPN
cana-4850	160	22	structure	structure	NOUN
cana-4850	160	23	data	datum	NOUN
cana-4850	160	24	,	,	PUNCT
cana-4850	160	25	which	which	PRON
cana-4850	160	26	culminated	culminate	VERB
cana-4850	160	27	in	in	ADP
cana-4850	160	28	the	the	DET
cana-4850	160	29	most	most	ADV
cana-4850	160	30	recent	recent	ADJ
cana-4850	160	31	developments	development	NOUN
cana-4850	160	32	in	in	ADP
cana-4850	160	33	communications	communication	NOUN
cana-4850	160	34	on	on	ADP
cana-4850	160	35	applied	apply	VERB
cana-4850	160	36	nonlinear	nonlinear	ADJ
cana-4850	160	37	analysis	analysis	NOUN
cana-4850	160	38	issn	issn	NOUN
cana-4850	160	39	:	:	PUNCT
cana-4850	160	40	1074	1074	NUM
cana-4850	160	41	-	-	PUNCT
cana-4850	160	42	133x	133x	NUM
cana-4850	160	43	vol	vol	VERB
cana-4850	160	44	32	32	NUM
cana-4850	160	45	no	no	NOUN
cana-4850	160	46	.	.	PUNCT
cana-4850	161	1	10s	10	NOUN
cana-4850	161	2	(	(	PUNCT
cana-4850	161	3	2025	2025	NUM
cana-4850	161	4	)	)	PUNCT
cana-4850	161	5	629	629	NUM
cana-4850	162	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4850	162	2	structural	structural	ADJ
cana-4850	162	3	protein	protein	NOUN
cana-4850	162	4	predictions	prediction	NOUN
cana-4850	162	5	supported	support	VERB
cana-4850	162	6	by	by	ADP
cana-4850	162	7	ai	ai	PROPN
cana-4850	162	8	technologies	technology	NOUN
cana-4850	162	9	[	[	X
cana-4850	162	10	85	85	NUM
cana-4850	162	11	]	]	PUNCT
cana-4850	162	12	.	.	PUNCT
cana-4850	163	1	performance	performance	NOUN
cana-4850	163	2	improves	improve	VERB
cana-4850	163	3	and	and	CCONJ
cana-4850	163	4	the	the	DET
cana-4850	163	5	impact	impact	NOUN
cana-4850	163	6	of	of	ADP
cana-4850	163	7	ai	ai	PROPN
cana-4850	163	8	advancements	advancement	NOUN
cana-4850	163	9	continues	continue	VERB
cana-4850	163	10	to	to	PART
cana-4850	163	11	expand	expand	VERB
cana-4850	163	12	as	as	ADP
cana-4850	163	13	the	the	DET
cana-4850	163	14	amount	amount	NOUN
cana-4850	163	15	of	of	ADP
cana-4850	163	16	publicly	publicly	ADV
cana-4850	163	17	available	available	ADJ
cana-4850	163	18	amino	amino	NOUN
cana-4850	163	19	acid	acid	NOUN
cana-4850	163	20	structure	structure	NOUN
cana-4850	163	21	data	data	NOUN
cana-4850	163	22	rises	rise	NOUN
cana-4850	163	23	.	.	PUNCT
cana-4850	164	1	using	use	VERB
cana-4850	164	2	comprehensive	comprehensive	ADJ
cana-4850	164	3	or	or	CCONJ
cana-4850	164	4	combination	combination	NOUN
cana-4850	164	5	methods	method	NOUN
cana-4850	164	6	to	to	PART
cana-4850	164	7	effectively	effectively	ADV
cana-4850	164	8	manage	manage	VERB
cana-4850	164	9	and	and	CCONJ
cana-4850	164	10	restore	restore	VERB
cana-4850	164	11	information	information	NOUN
cana-4850	164	12	generated	generate	VERB
cana-4850	164	13	by	by	ADP
cana-4850	164	14	structural	structural	ADJ
cana-4850	164	15	investigations	investigation	NOUN
cana-4850	164	16	of	of	ADP
cana-4850	164	17	ever	ever	ADV
cana-4850	164	18	-	-	PUNCT
cana-4850	164	19	larger	large	ADJ
cana-4850	164	20	frameworks	framework	NOUN
cana-4850	164	21	—	—	PUNCT
cana-4850	164	22	from	from	ADP
cana-4850	164	23	molecular	molecular	ADJ
cana-4850	164	24	tools	tool	NOUN
cana-4850	164	25	to	to	ADP
cana-4850	164	26	organs	organ	NOUN
cana-4850	164	27	to	to	PART
cana-4850	164	28	entire	entire	ADJ
cana-4850	164	29	cells	cell	NOUN
cana-4850	164	30	—	—	PUNCT
cana-4850	164	31	seems	seem	VERB
cana-4850	164	32	to	to	PART
cana-4850	164	33	have	have	AUX
cana-4850	164	34	become	become	VERB
cana-4850	164	35	the	the	DET
cana-4850	164	36	most	most	ADV
cana-4850	164	37	significant	significant	ADJ
cana-4850	164	38	task	task	NOUN
cana-4850	164	39	facing	face	VERB
cana-4850	164	40	biological	biological	ADJ
cana-4850	164	41	structures	structure	NOUN
cana-4850	164	42	.	.	PUNCT
cana-4850	165	1	5	5	X
cana-4850	165	2	.	.	X
cana-4850	165	3	challenges	challenge	NOUN
cana-4850	165	4	in	in	ADP
cana-4850	165	5	protein	protein	NOUN
cana-4850	165	6	prediction	prediction	NOUN
cana-4850	165	7	despite	despite	SCONJ
cana-4850	165	8	remarkable	remarkable	ADJ
cana-4850	165	9	advancements	advancement	NOUN
cana-4850	165	10	in	in	ADP
cana-4850	165	11	computational	computational	ADJ
cana-4850	165	12	protein	protein	NOUN
cana-4850	165	13	structure	structure	NOUN
cana-4850	165	14	prediction	prediction	NOUN
cana-4850	165	15	,	,	PUNCT
cana-4850	165	16	several	several	ADJ
cana-4850	165	17	challenges	challenge	NOUN
cana-4850	165	18	persist	persist	VERB
cana-4850	165	19	,	,	PUNCT
cana-4850	165	20	limiting	limit	VERB
cana-4850	165	21	the	the	DET
cana-4850	165	22	accuracy	accuracy	NOUN
cana-4850	165	23	and	and	CCONJ
cana-4850	165	24	applicability	applicability	NOUN
cana-4850	165	25	of	of	ADP
cana-4850	165	26	existing	exist	VERB
cana-4850	165	27	models	model	NOUN
cana-4850	165	28	.	.	PUNCT
cana-4850	166	1	these	these	DET
cana-4850	166	2	challenges	challenge	NOUN
cana-4850	166	3	stem	stem	VERB
cana-4850	166	4	from	from	ADP
cana-4850	166	5	data	datum	NOUN
cana-4850	166	6	limitations	limitation	NOUN
cana-4850	166	7	,	,	PUNCT
cana-4850	166	8	model	model	NOUN
cana-4850	166	9	interpretability	interpretability	NOUN
cana-4850	166	10	,	,	PUNCT
cana-4850	166	11	computational	computational	ADJ
cana-4850	166	12	costs	cost	NOUN
cana-4850	166	13	,	,	PUNCT
cana-4850	166	14	and	and	CCONJ
cana-4850	166	15	the	the	DET
cana-4850	166	16	complexity	complexity	NOUN
cana-4850	166	17	of	of	ADP
cana-4850	166	18	protein	protein	NOUN
cana-4850	166	19	interactions	interaction	NOUN
cana-4850	166	20	.	.	PUNCT
cana-4850	167	1	addressing	address	VERB
cana-4850	167	2	these	these	DET
cana-4850	167	3	issues	issue	NOUN
cana-4850	167	4	is	be	AUX
cana-4850	167	5	crucial	crucial	ADJ
cana-4850	167	6	for	for	ADP
cana-4850	167	7	improving	improve	VERB
cana-4850	167	8	prediction	prediction	NOUN
cana-4850	167	9	reliability	reliability	NOUN
cana-4850	167	10	,	,	PUNCT
cana-4850	167	11	especially	especially	ADV
cana-4850	167	12	in	in	ADP
cana-4850	167	13	drug	drug	NOUN
cana-4850	167	14	design	design	NOUN
cana-4850	167	15	,	,	PUNCT
cana-4850	167	16	enzymatic	enzymatic	ADJ
cana-4850	167	17	engineering	engineering	NOUN
cana-4850	167	18	,	,	PUNCT
cana-4850	167	19	and	and	CCONJ
cana-4850	167	20	disease	disease	NOUN
cana-4850	167	21	-	-	PUNCT
cana-4850	167	22	related	relate	VERB
cana-4850	167	23	research	research	NOUN
cana-4850	167	24	.	.	PUNCT
cana-4850	168	1	limitations	limitation	NOUN
cana-4850	168	2	of	of	ADP
cana-4850	168	3	datasets	dataset	NOUN
cana-4850	168	4	and	and	CCONJ
cana-4850	168	5	sequence	sequence	NOUN
cana-4850	168	6	diversity	diversity	NOUN
cana-4850	168	7	:	:	PUNCT
cana-4850	168	8	deep	deep	ADJ
cana-4850	168	9	learning	learning	NOUN
cana-4850	168	10	models	model	NOUN
cana-4850	168	11	rely	rely	VERB
cana-4850	168	12	heavily	heavily	ADV
cana-4850	168	13	on	on	ADP
cana-4850	168	14	large	large	ADJ
cana-4850	168	15	,	,	PUNCT
cana-4850	168	16	highquality	highquality	NOUN
cana-4850	168	17	datasets	dataset	NOUN
cana-4850	168	18	to	to	PART
cana-4850	168	19	achieve	achieve	VERB
cana-4850	168	20	accurate	accurate	ADJ
cana-4850	168	21	protein	protein	NOUN
cana-4850	168	22	structure	structure	NOUN
cana-4850	168	23	predictions	prediction	NOUN
cana-4850	168	24	.	.	PUNCT
cana-4850	169	1	however	however	ADV
cana-4850	169	2	,	,	PUNCT
cana-4850	169	3	biases	bias	NOUN
cana-4850	169	4	in	in	ADP
cana-4850	169	5	protein	protein	NOUN
cana-4850	169	6	databases	database	NOUN
cana-4850	169	7	can	can	AUX
cana-4850	169	8	influence	influence	VERB
cana-4850	169	9	model	model	NOUN
cana-4850	169	10	performance	performance	NOUN
cana-4850	169	11	.	.	PUNCT
cana-4850	170	1	publicly	publicly	ADV
cana-4850	170	2	available	available	ADJ
cana-4850	170	3	datasets	dataset	NOUN
cana-4850	170	4	,	,	PUNCT
cana-4850	170	5	such	such	ADJ
cana-4850	170	6	as	as	ADP
cana-4850	170	7	protein	protein	NOUN
cana-4850	170	8	data	datum	NOUN
cana-4850	170	9	bank	bank	PROPN
cana-4850	170	10	(	(	PUNCT
cana-4850	170	11	pdb	pdb	PROPN
cana-4850	170	12	)	)	PUNCT
cana-4850	170	13	and	and	CCONJ
cana-4850	170	14	uniprot	uniprot	ADJ
cana-4850	170	15	,	,	PUNCT
cana-4850	170	16	are	be	AUX
cana-4850	170	17	often	often	ADV
cana-4850	170	18	biased	bias	VERB
cana-4850	170	19	toward	toward	ADP
cana-4850	170	20	well	well	ADV
cana-4850	170	21	-	-	PUNCT
cana-4850	170	22	studied	study	VERB
cana-4850	170	23	proteins	protein	NOUN
cana-4850	170	24	,	,	PUNCT
cana-4850	170	25	particularly	particularly	ADV
cana-4850	170	26	those	those	PRON
cana-4850	170	27	that	that	PRON
cana-4850	170	28	are	be	AUX
cana-4850	170	29	easier	easy	ADJ
cana-4850	170	30	to	to	PART
cana-4850	170	31	crystallize	crystallize	VERB
cana-4850	170	32	and	and	CCONJ
cana-4850	170	33	analyze	analyze	VERB
cana-4850	170	34	experimentally	experimentally	ADV
cana-4850	170	35	.	.	PUNCT
cana-4850	171	1	as	as	ADP
cana-4850	171	2	a	a	DET
cana-4850	171	3	result	result	NOUN
cana-4850	171	4	,	,	PUNCT
cana-4850	171	5	models	model	NOUN
cana-4850	171	6	trained	train	VERB
cana-4850	171	7	on	on	ADP
cana-4850	171	8	these	these	DET
cana-4850	171	9	datasets	dataset	NOUN
cana-4850	171	10	may	may	AUX
cana-4850	171	11	struggle	struggle	VERB
cana-4850	171	12	with	with	ADP
cana-4850	171	13	rare	rare	ADJ
cana-4850	171	14	,	,	PUNCT
cana-4850	171	15	disordered	disordered	ADJ
cana-4850	171	16	,	,	PUNCT
cana-4850	171	17	or	or	CCONJ
cana-4850	171	18	membrane	membrane	NOUN
cana-4850	171	19	-	-	PUNCT
cana-4850	171	20	bound	bind	VERB
cana-4850	171	21	proteins	protein	NOUN
cana-4850	171	22	,	,	PUNCT
cana-4850	171	23	which	which	PRON
cana-4850	171	24	are	be	AUX
cana-4850	171	25	underrepresented	underrepresente	VERB
cana-4850	171	26	in	in	ADP
cana-4850	171	27	existing	exist	VERB
cana-4850	171	28	databases	database	NOUN
cana-4850	171	29	.	.	PUNCT
cana-4850	172	1	additionally	additionally	ADV
cana-4850	172	2	,	,	PUNCT
cana-4850	172	3	protein	protein	NOUN
cana-4850	172	4	sequence	sequence	NOUN
cana-4850	172	5	diversity	diversity	NOUN
cana-4850	172	6	remains	remain	VERB
cana-4850	172	7	a	a	DET
cana-4850	172	8	challenge	challenge	NOUN
cana-4850	172	9	.	.	PUNCT
cana-4850	173	1	many	many	ADJ
cana-4850	173	2	novel	novel	ADJ
cana-4850	173	3	proteins	protein	NOUN
cana-4850	173	4	lack	lack	VERB
cana-4850	173	5	homologous	homologous	ADJ
cana-4850	173	6	sequences	sequence	NOUN
cana-4850	173	7	,	,	PUNCT
cana-4850	173	8	making	make	VERB
cana-4850	173	9	it	it	PRON
cana-4850	173	10	difficult	difficult	ADJ
cana-4850	173	11	for	for	SCONJ
cana-4850	173	12	evolutionary	evolutionary	ADJ
cana-4850	173	13	-	-	PUNCT
cana-4850	173	14	based	base	VERB
cana-4850	173	15	models	model	NOUN
cana-4850	173	16	to	to	PART
cana-4850	173	17	generate	generate	VERB
cana-4850	173	18	accurate	accurate	ADJ
cana-4850	173	19	predictions	prediction	NOUN
cana-4850	173	20	.	.	PUNCT
cana-4850	174	1	while	while	SCONJ
cana-4850	174	2	multiple	multiple	ADJ
cana-4850	174	3	sequence	sequence	NOUN
cana-4850	174	4	alignments	alignment	NOUN
cana-4850	174	5	(	(	PUNCT
cana-4850	174	6	msa	msa	PROPN
cana-4850	174	7	)	)	PUNCT
cana-4850	174	8	improve	improve	VERB
cana-4850	174	9	accuracy	accuracy	NOUN
cana-4850	174	10	by	by	ADP
cana-4850	174	11	leveraging	leverage	VERB
cana-4850	174	12	evolutionary	evolutionary	ADJ
cana-4850	174	13	relationships	relationship	NOUN
cana-4850	174	14	,	,	PUNCT
cana-4850	174	15	they	they	PRON
cana-4850	174	16	are	be	AUX
cana-4850	174	17	ineffective	ineffective	ADJ
cana-4850	174	18	for	for	ADP
cana-4850	174	19	proteins	protein	NOUN
cana-4850	174	20	with	with	ADP
cana-4850	174	21	no	no	DET
cana-4850	174	22	known	know	VERB
cana-4850	174	23	relatives	relative	NOUN
cana-4850	174	24	.	.	PUNCT
cana-4850	175	1	in	in	ADP
cana-4850	175	2	such	such	ADJ
cana-4850	175	3	cases	case	NOUN
cana-4850	175	4	,	,	PUNCT
cana-4850	175	5	alternative	alternative	ADJ
cana-4850	175	6	strategies	strategy	NOUN
cana-4850	175	7	like	like	ADP
cana-4850	175	8	self	self	NOUN
cana-4850	175	9	-	-	PUNCT
cana-4850	175	10	supervised	supervise	VERB
cana-4850	175	11	learning	learning	NOUN
cana-4850	175	12	and	and	CCONJ
cana-4850	175	13	generative	generative	ADJ
cana-4850	175	14	models	model	NOUN
cana-4850	175	15	are	be	AUX
cana-4850	175	16	being	be	AUX
cana-4850	175	17	explored	explore	VERB
cana-4850	175	18	to	to	PART
cana-4850	175	19	predict	predict	VERB
cana-4850	175	20	structures	structure	NOUN
cana-4850	175	21	without	without	ADP
cana-4850	175	22	relying	rely	VERB
cana-4850	175	23	on	on	ADP
cana-4850	175	24	evolutionary	evolutionary	ADJ
cana-4850	175	25	data	datum	NOUN
cana-4850	175	26	.	.	PUNCT
cana-4850	176	1	another	another	DET
cana-4850	176	2	major	major	ADJ
cana-4850	176	3	limitation	limitation	NOUN
cana-4850	176	4	is	be	AUX
cana-4850	176	5	lack	lack	NOUN
cana-4850	176	6	of	of	ADP
cana-4850	176	7	experimental	experimental	ADJ
cana-4850	176	8	validation	validation	NOUN
cana-4850	176	9	.	.	PUNCT
cana-4850	177	1	computationally	computationally	ADV
cana-4850	177	2	predicted	predict	VERB
cana-4850	177	3	structures	structure	NOUN
cana-4850	177	4	often	often	ADV
cana-4850	177	5	require	require	VERB
cana-4850	177	6	wet	wet	ADJ
cana-4850	177	7	-	-	PUNCT
cana-4850	177	8	lab	lab	NOUN
cana-4850	177	9	verification	verification	NOUN
cana-4850	177	10	to	to	PART
cana-4850	177	11	confirm	confirm	VERB
cana-4850	177	12	their	their	PRON
cana-4850	177	13	accuracy	accuracy	NOUN
cana-4850	177	14	,	,	PUNCT
cana-4850	177	15	but	but	CCONJ
cana-4850	177	16	high	high	ADJ
cana-4850	177	17	-	-	PUNCT
cana-4850	177	18	throughput	throughput	NOUN
cana-4850	177	19	validation	validation	NOUN
cana-4850	177	20	techniques	technique	NOUN
cana-4850	177	21	are	be	AUX
cana-4850	177	22	still	still	ADV
cana-4850	177	23	underdeveloped	underdeveloped	ADJ
cana-4850	177	24	.	.	PUNCT
cana-4850	178	1	integrating	integrate	VERB
cana-4850	178	2	computational	computational	ADJ
cana-4850	178	3	predictions	prediction	NOUN
cana-4850	178	4	with	with	ADP
cana-4850	178	5	experimental	experimental	ADJ
cana-4850	178	6	feedback	feedback	NOUN
cana-4850	178	7	loops	loop	NOUN
cana-4850	178	8	could	could	AUX
cana-4850	178	9	help	help	VERB
cana-4850	178	10	refine	refine	VERB
cana-4850	178	11	model	model	NOUN
cana-4850	178	12	outputs	output	NOUN
cana-4850	178	13	and	and	CCONJ
cana-4850	178	14	improve	improve	VERB
cana-4850	178	15	real	real	ADJ
cana-4850	178	16	-	-	PUNCT
cana-4850	178	17	world	world	NOUN
cana-4850	178	18	applicability	applicability	NOUN
cana-4850	178	19	.	.	PUNCT
cana-4850	179	1	model	model	NOUN
cana-4850	179	2	interpretability	interpretability	NOUN
cana-4850	179	3	and	and	CCONJ
cana-4850	179	4	black	black	ADJ
cana-4850	179	5	-	-	PUNCT
cana-4850	179	6	box	box	NOUN
cana-4850	179	7	nature	nature	NOUN
cana-4850	179	8	of	of	ADP
cana-4850	179	9	deep	deep	ADJ
cana-4850	179	10	learning	learning	NOUN
cana-4850	179	11	:	:	PUNCT
cana-4850	179	12	many	many	ADJ
cana-4850	179	13	deep	deep	ADJ
cana-4850	179	14	learning	learning	NOUN
cana-4850	179	15	models	model	NOUN
cana-4850	179	16	used	use	VERB
cana-4850	179	17	in	in	ADP
cana-4850	179	18	protein	protein	NOUN
cana-4850	179	19	structure	structure	NOUN
cana-4850	179	20	prediction	prediction	NOUN
cana-4850	179	21	,	,	PUNCT
cana-4850	179	22	particularly	particularly	ADV
cana-4850	179	23	transformers	transformer	NOUN
cana-4850	179	24	and	and	CCONJ
cana-4850	179	25	convolutional	convolutional	ADJ
cana-4850	179	26	neural	neural	ADJ
cana-4850	179	27	networks	network	NOUN
cana-4850	179	28	(	(	PUNCT
cana-4850	179	29	cnns	cnns	PROPN
cana-4850	179	30	)	)	PUNCT
cana-4850	179	31	,	,	PUNCT
cana-4850	179	32	function	function	NOUN
cana-4850	179	33	as	as	ADP
cana-4850	179	34	black	black	ADJ
cana-4850	179	35	-	-	PUNCT
cana-4850	179	36	box	box	NOUN
cana-4850	179	37	models	model	NOUN
cana-4850	179	38	—	—	PUNCT
cana-4850	179	39	meaning	mean	VERB
cana-4850	179	40	their	their	PRON
cana-4850	179	41	decision	decision	NOUN
cana-4850	179	42	-	-	PUNCT
cana-4850	179	43	making	make	VERB
cana-4850	179	44	processes	process	NOUN
cana-4850	179	45	are	be	AUX
cana-4850	179	46	not	not	PART
cana-4850	179	47	fully	fully	ADV
cana-4850	179	48	interpretable	interpretable	ADJ
cana-4850	179	49	.	.	PUNCT
cana-4850	180	1	while	while	SCONJ
cana-4850	180	2	models	model	NOUN
cana-4850	180	3	like	like	ADP
cana-4850	180	4	alphafold2	alphafold2	NOUN
cana-4850	180	5	achieve	achieve	VERB
cana-4850	180	6	high	high	ADJ
cana-4850	180	7	accuracy	accuracy	NOUN
cana-4850	180	8	,	,	PUNCT
cana-4850	180	9	it	it	PRON
cana-4850	180	10	remains	remain	VERB
cana-4850	180	11	unclear	unclear	ADJ
cana-4850	180	12	how	how	SCONJ
cana-4850	180	13	specific	specific	ADJ
cana-4850	180	14	residues	residue	NOUN
cana-4850	180	15	influence	influence	VERB
cana-4850	180	16	the	the	DET
cana-4850	180	17	overall	overall	ADJ
cana-4850	180	18	folding	folding	NOUN
cana-4850	180	19	process	process	NOUN
cana-4850	180	20	.	.	PUNCT
cana-4850	181	1	recent	recent	ADJ
cana-4850	181	2	efforts	effort	NOUN
cana-4850	181	3	in	in	ADP
cana-4850	181	4	interpretable	interpretable	ADJ
cana-4850	181	5	ai	ai	NOUN
cana-4850	181	6	techniques	technique	NOUN
cana-4850	181	7	focus	focus	VERB
cana-4850	181	8	on	on	ADP
cana-4850	181	9	understanding	understand	VERB
cana-4850	181	10	these	these	DET
cana-4850	181	11	models	model	NOUN
cana-4850	181	12	.	.	PUNCT
cana-4850	182	1	methods	method	NOUN
cana-4850	182	2	such	such	ADJ
cana-4850	182	3	as	as	ADP
cana-4850	182	4	attention	attention	NOUN
cana-4850	182	5	visualization	visualization	NOUN
cana-4850	182	6	,	,	PUNCT
cana-4850	182	7	feature	feature	NOUN
cana-4850	182	8	attribution	attribution	NOUN
cana-4850	182	9	mapping	mapping	NOUN
cana-4850	182	10	,	,	PUNCT
cana-4850	182	11	and	and	CCONJ
cana-4850	182	12	residue	residue	NOUN
cana-4850	182	13	importance	importance	NOUN
cana-4850	182	14	scoring	scoring	NOUN
cana-4850	182	15	are	be	AUX
cana-4850	182	16	being	be	AUX
cana-4850	182	17	explored	explore	VERB
cana-4850	182	18	to	to	PART
cana-4850	182	19	trace	trace	VERB
cana-4850	182	20	model	model	NOUN
cana-4850	182	21	decisions	decision	NOUN
cana-4850	182	22	.	.	PUNCT
cana-4850	183	1	by	by	ADP
cana-4850	183	2	improving	improve	VERB
cana-4850	183	3	interpretability	interpretability	NOUN
cana-4850	183	4	,	,	PUNCT
cana-4850	183	5	researchers	researcher	NOUN
cana-4850	183	6	can	can	AUX
cana-4850	183	7	build	build	VERB
cana-4850	183	8	more	more	ADV
cana-4850	183	9	reliable	reliable	ADJ
cana-4850	183	10	and	and	CCONJ
cana-4850	183	11	biologically	biologically	ADV
cana-4850	183	12	meaningful	meaningful	ADJ
cana-4850	183	13	models	model	NOUN
cana-4850	183	14	for	for	ADP
cana-4850	183	15	protein	protein	NOUN
cana-4850	183	16	structure	structure	NOUN
cana-4850	183	17	prediction	prediction	NOUN
cana-4850	183	18	.	.	PUNCT
cana-4850	184	1	communications	communication	NOUN
cana-4850	184	2	on	on	ADP
cana-4850	184	3	applied	apply	VERB
cana-4850	184	4	nonlinear	nonlinear	ADJ
cana-4850	184	5	analysis	analysis	NOUN
cana-4850	184	6	issn	issn	NOUN
cana-4850	184	7	:	:	PUNCT
cana-4850	184	8	1074	1074	NUM
cana-4850	184	9	-	-	PUNCT
cana-4850	184	10	133x	133x	NUM
cana-4850	184	11	vol	vol	VERB
cana-4850	184	12	32	32	NUM
cana-4850	184	13	no	no	NOUN
cana-4850	184	14	.	.	PUNCT
cana-4850	185	1	10s	10	NOUN
cana-4850	185	2	(	(	PUNCT
cana-4850	185	3	2025	2025	NUM
cana-4850	185	4	)	)	PUNCT
cana-4850	185	5	630	630	NUM
cana-4850	185	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4850	185	7	predicting	predict	VERB
cana-4850	185	8	side	side	NOUN
cana-4850	185	9	-	-	PUNCT
cana-4850	185	10	chain	chain	NOUN
cana-4850	185	11	conformations	conformation	NOUN
cana-4850	185	12	with	with	ADP
cana-4850	185	13	high	high	ADJ
cana-4850	185	14	precision	precision	NOUN
cana-4850	185	15	:	:	PUNCT
cana-4850	185	16	while	while	SCONJ
cana-4850	185	17	deep	deep	ADJ
cana-4850	185	18	learning	learning	NOUN
cana-4850	185	19	models	model	NOUN
cana-4850	185	20	effectively	effectively	ADV
cana-4850	185	21	predict	predict	VERB
cana-4850	185	22	protein	protein	NOUN
cana-4850	185	23	backbone	backbone	NOUN
cana-4850	185	24	structures	structure	NOUN
cana-4850	185	25	,	,	PUNCT
cana-4850	185	26	accurately	accurately	ADV
cana-4850	185	27	positioning	position	VERB
cana-4850	185	28	side	side	NOUN
cana-4850	185	29	chains	chain	NOUN
cana-4850	185	30	remains	remain	VERB
cana-4850	185	31	a	a	DET
cana-4850	185	32	challenge	challenge	NOUN
cana-4850	185	33	.	.	PUNCT
cana-4850	186	1	side	side	NOUN
cana-4850	186	2	-	-	PUNCT
cana-4850	186	3	chain	chain	NOUN
cana-4850	186	4	conformations	conformation	NOUN
cana-4850	186	5	play	play	VERB
cana-4850	186	6	a	a	DET
cana-4850	186	7	crucial	crucial	ADJ
cana-4850	186	8	role	role	NOUN
cana-4850	186	9	in	in	ADP
cana-4850	186	10	protein	protein	NOUN
cana-4850	186	11	-	-	PUNCT
cana-4850	186	12	protein	protein	NOUN
cana-4850	186	13	interactions	interaction	NOUN
cana-4850	186	14	,	,	PUNCT
cana-4850	186	15	enzymatic	enzymatic	ADJ
cana-4850	186	16	functions	function	NOUN
cana-4850	186	17	,	,	PUNCT
cana-4850	186	18	and	and	CCONJ
cana-4850	186	19	drug	drug	NOUN
cana-4850	186	20	binding	bind	VERB
cana-4850	186	21	.	.	PUNCT
cana-4850	187	1	traditional	traditional	ADJ
cana-4850	187	2	side	side	NOUN
cana-4850	187	3	-	-	PUNCT
cana-4850	187	4	chain	chain	NOUN
cana-4850	187	5	prediction	prediction	NOUN
cana-4850	187	6	methods	method	NOUN
cana-4850	187	7	rely	rely	VERB
cana-4850	187	8	on	on	ADP
cana-4850	187	9	rotamer	rotamer	NOUN
cana-4850	187	10	libraries	library	NOUN
cana-4850	187	11	—	—	PUNCT
cana-4850	187	12	precomputed	precompute	VERB
cana-4850	187	13	sets	set	NOUN
cana-4850	187	14	of	of	ADP
cana-4850	187	15	likely	likely	ADJ
cana-4850	187	16	conformations	conformation	NOUN
cana-4850	187	17	for	for	ADP
cana-4850	187	18	each	each	DET
cana-4850	187	19	amino	amino	NOUN
cana-4850	187	20	acid	acid	NOUN
cana-4850	187	21	.	.	PUNCT
cana-4850	188	1	however	however	ADV
cana-4850	188	2	,	,	PUNCT
cana-4850	188	3	these	these	DET
cana-4850	188	4	approaches	approach	NOUN
cana-4850	188	5	lack	lack	VERB
cana-4850	188	6	precision	precision	NOUN
cana-4850	188	7	in	in	ADP
cana-4850	188	8	highly	highly	ADV
cana-4850	188	9	flexible	flexible	ADJ
cana-4850	188	10	regions	region	NOUN
cana-4850	188	11	.	.	PUNCT
cana-4850	189	1	hybrid	hybrid	ADJ
cana-4850	189	2	models	model	NOUN
cana-4850	189	3	that	that	PRON
cana-4850	189	4	integrate	integrate	VERB
cana-4850	189	5	graph	graph	NOUN
cana-4850	189	6	neural	neural	ADJ
cana-4850	189	7	networks	network	NOUN
cana-4850	189	8	(	(	PUNCT
cana-4850	189	9	gnns	gnns	NOUN
cana-4850	189	10	)	)	PUNCT
cana-4850	189	11	and	and	CCONJ
cana-4850	189	12	physics	physics	NOUN
cana-4850	189	13	-	-	PUNCT
cana-4850	189	14	based	base	VERB
cana-4850	189	15	energy	energy	NOUN
cana-4850	189	16	calculations	calculation	NOUN
cana-4850	189	17	are	be	AUX
cana-4850	189	18	being	be	AUX
cana-4850	189	19	developed	develop	VERB
cana-4850	189	20	to	to	PART
cana-4850	189	21	improve	improve	VERB
cana-4850	189	22	side	side	NOUN
cana-4850	189	23	-	-	PUNCT
cana-4850	189	24	chain	chain	NOUN
cana-4850	189	25	accuracy	accuracy	NOUN
cana-4850	189	26	by	by	ADP
cana-4850	189	27	considering	consider	VERB
cana-4850	189	28	atomic	atomic	ADJ
cana-4850	189	29	-	-	PUNCT
cana-4850	189	30	level	level	NOUN
cana-4850	189	31	interactions	interaction	NOUN
cana-4850	189	32	and	and	CCONJ
cana-4850	189	33	steric	steric	ADJ
cana-4850	189	34	clashes	clash	NOUN
cana-4850	189	35	.	.	PUNCT
cana-4850	190	1	multi	multi	ADJ
cana-4850	190	2	-	-	ADJ
cana-4850	190	3	protein	protein	ADJ
cana-4850	190	4	interactions	interaction	NOUN
cana-4850	190	5	and	and	CCONJ
cana-4850	190	6	quaternary	quaternary	ADJ
cana-4850	190	7	structure	structure	NOUN
cana-4850	190	8	prediction	prediction	NOUN
cana-4850	190	9	:	:	PUNCT
cana-4850	190	10	most	most	ADJ
cana-4850	190	11	deep	deep	ADJ
cana-4850	190	12	learning	learning	NOUN
cana-4850	190	13	models	model	NOUN
cana-4850	190	14	,	,	PUNCT
cana-4850	190	15	including	include	VERB
cana-4850	190	16	alphafold2	alphafold2	NOUN
cana-4850	190	17	,	,	PUNCT
cana-4850	190	18	are	be	AUX
cana-4850	190	19	optimized	optimize	VERB
cana-4850	190	20	for	for	ADP
cana-4850	190	21	single	single	ADJ
cana-4850	190	22	-	-	PUNCT
cana-4850	190	23	protein	protein	NOUN
cana-4850	190	24	structure	structure	NOUN
cana-4850	190	25	prediction	prediction	NOUN
cana-4850	190	26	.	.	PUNCT
cana-4850	191	1	however	however	ADV
cana-4850	191	2	,	,	PUNCT
cana-4850	191	3	proteins	protein	NOUN
cana-4850	191	4	rarely	rarely	ADV
cana-4850	191	5	function	function	VERB
cana-4850	191	6	in	in	ADP
cana-4850	191	7	isolation	isolation	NOUN
cana-4850	191	8	;	;	PUNCT
cana-4850	191	9	they	they	PRON
cana-4850	191	10	interact	interact	VERB
cana-4850	191	11	with	with	ADP
cana-4850	191	12	other	other	ADJ
cana-4850	191	13	biomolecules	biomolecule	NOUN
cana-4850	191	14	to	to	PART
cana-4850	191	15	form	form	VERB
cana-4850	191	16	quaternary	quaternary	ADJ
cana-4850	191	17	structures	structure	NOUN
cana-4850	191	18	and	and	CCONJ
cana-4850	191	19	functional	functional	ADJ
cana-4850	191	20	complexes	complex	NOUN
cana-4850	191	21	.	.	PUNCT
cana-4850	192	1	for	for	ADP
cana-4850	192	2	example	example	NOUN
cana-4850	192	3	,	,	PUNCT
cana-4850	192	4	antibodies	antibodie	VERB
cana-4850	192	5	,	,	PUNCT
cana-4850	192	6	enzymes	enzyme	NOUN
cana-4850	192	7	,	,	PUNCT
cana-4850	192	8	and	and	CCONJ
cana-4850	192	9	receptor	receptor	NOUN
cana-4850	192	10	proteins	protein	NOUN
cana-4850	192	11	require	require	VERB
cana-4850	192	12	detailed	detailed	ADJ
cana-4850	192	13	modeling	modeling	NOUN
cana-4850	192	14	of	of	ADP
cana-4850	192	15	protein	protein	NOUN
cana-4850	192	16	-	-	PUNCT
cana-4850	192	17	protein	protein	NOUN
cana-4850	192	18	docking	docking	NOUN
cana-4850	192	19	and	and	CCONJ
cana-4850	192	20	ligand	ligand	ADJ
cana-4850	192	21	binding	bind	VERB
cana-4850	192	22	.	.	PUNCT
cana-4850	193	1	current	current	ADJ
cana-4850	193	2	tools	tool	NOUN
cana-4850	193	3	such	such	ADJ
cana-4850	193	4	as	as	ADP
cana-4850	193	5	alphafold	alphafold	ADJ
cana-4850	193	6	-	-	PUNCT
cana-4850	193	7	multimer	multimer	NOUN
cana-4850	193	8	attempt	attempt	NOUN
cana-4850	193	9	to	to	PART
cana-4850	193	10	address	address	VERB
cana-4850	193	11	this	this	DET
cana-4850	193	12	issue	issue	NOUN
cana-4850	193	13	,	,	PUNCT
cana-4850	193	14	but	but	CCONJ
cana-4850	193	15	accurately	accurately	ADV
cana-4850	193	16	modeling	model	VERB
cana-4850	193	17	large	large	ADJ
cana-4850	193	18	-	-	PUNCT
cana-4850	193	19	scale	scale	NOUN
cana-4850	193	20	molecular	molecular	ADJ
cana-4850	193	21	assemblies	assembly	NOUN
cana-4850	193	22	remains	remain	VERB
cana-4850	193	23	an	an	DET
cana-4850	193	24	ongoing	ongoing	ADJ
cana-4850	193	25	challenge	challenge	NOUN
cana-4850	193	26	.	.	PUNCT
cana-4850	194	1	developing	develop	VERB
cana-4850	194	2	multi	multi	ADJ
cana-4850	194	3	-	-	ADJ
cana-4850	194	4	scale	scale	ADJ
cana-4850	194	5	ai	ai	NOUN
cana-4850	194	6	models	model	NOUN
cana-4850	194	7	that	that	PRON
cana-4850	194	8	incorporate	incorporate	VERB
cana-4850	194	9	protein	protein	NOUN
cana-4850	194	10	dynamics	dynamic	NOUN
cana-4850	194	11	,	,	PUNCT
cana-4850	194	12	ligand	ligand	NOUN
cana-4850	194	13	interactions	interaction	NOUN
cana-4850	194	14	,	,	PUNCT
cana-4850	194	15	and	and	CCONJ
cana-4850	194	16	post	post	ADJ
cana-4850	194	17	-	-	ADJ
cana-4850	194	18	translational	translational	ADJ
cana-4850	194	19	modifications	modification	NOUN
cana-4850	194	20	could	could	AUX
cana-4850	194	21	enhance	enhance	VERB
cana-4850	194	22	predictions	prediction	NOUN
cana-4850	194	23	in	in	ADP
cana-4850	194	24	this	this	DET
cana-4850	194	25	area	area	NOUN
cana-4850	194	26	.	.	PUNCT
cana-4850	195	1	energy	energy	NOUN
cana-4850	195	2	-	-	PUNCT
cana-4850	195	3	based	base	VERB
cana-4850	195	4	refinements	refinement	NOUN
cana-4850	195	5	and	and	CCONJ
cana-4850	195	6	molecular	molecular	ADJ
cana-4850	195	7	dynamics	dynamic	NOUN
cana-4850	195	8	simulations	simulation	NOUN
cana-4850	195	9	:	:	PUNCT
cana-4850	195	10	predicted	predict	VERB
cana-4850	195	11	protein	protein	NOUN
cana-4850	195	12	structures	structure	NOUN
cana-4850	195	13	often	often	ADV
cana-4850	195	14	require	require	VERB
cana-4850	195	15	post	post	ADJ
cana-4850	195	16	-	-	ADJ
cana-4850	195	17	processing	processing	NOUN
cana-4850	195	18	and	and	CCONJ
cana-4850	195	19	refinement	refinement	NOUN
cana-4850	195	20	to	to	PART
cana-4850	195	21	ensure	ensure	VERB
cana-4850	195	22	structural	structural	ADJ
cana-4850	195	23	stability	stability	NOUN
cana-4850	195	24	and	and	CCONJ
cana-4850	195	25	minimize	minimize	VERB
cana-4850	195	26	steric	steric	ADJ
cana-4850	195	27	clashes	clash	NOUN
cana-4850	195	28	.	.	PUNCT
cana-4850	196	1	energy	energy	NOUN
cana-4850	196	2	-	-	PUNCT
cana-4850	196	3	based	base	VERB
cana-4850	196	4	approaches	approach	NOUN
cana-4850	196	5	,	,	PUNCT
cana-4850	196	6	such	such	ADJ
cana-4850	196	7	as	as	ADP
cana-4850	196	8	molecular	molecular	ADJ
cana-4850	196	9	dynamics	dynamic	NOUN
cana-4850	196	10	(	(	PUNCT
cana-4850	196	11	md	md	NOUN
cana-4850	196	12	)	)	PUNCT
cana-4850	196	13	simulations	simulation	NOUN
cana-4850	196	14	,	,	PUNCT
cana-4850	196	15	provide	provide	VERB
cana-4850	196	16	a	a	DET
cana-4850	196	17	way	way	NOUN
cana-4850	196	18	to	to	PART
cana-4850	196	19	refine	refine	VERB
cana-4850	196	20	structures	structure	NOUN
cana-4850	196	21	by	by	ADP
cana-4850	196	22	simulating	simulate	VERB
cana-4850	196	23	atomic	atomic	ADJ
cana-4850	196	24	movements	movement	NOUN
cana-4850	196	25	over	over	ADP
cana-4850	196	26	time	time	NOUN
cana-4850	196	27	.	.	PUNCT
cana-4850	197	1	traditional	traditional	ADJ
cana-4850	197	2	md	md	PROPN
cana-4850	197	3	tools	tool	NOUN
cana-4850	197	4	,	,	PUNCT
cana-4850	197	5	including	include	VERB
cana-4850	197	6	amber	amber	NOUN
cana-4850	197	7	and	and	CCONJ
cana-4850	197	8	gromacs	gromacs	PROPN
cana-4850	197	9	,	,	PUNCT
cana-4850	197	10	simulate	simulate	VERB
cana-4850	197	11	the	the	DET
cana-4850	197	12	physical	physical	ADJ
cana-4850	197	13	interactions	interaction	NOUN
cana-4850	197	14	of	of	ADP
cana-4850	197	15	proteins	protein	NOUN
cana-4850	197	16	in	in	ADP
cana-4850	197	17	a	a	DET
cana-4850	197	18	virtual	virtual	ADJ
cana-4850	197	19	environment	environment	NOUN
cana-4850	197	20	,	,	PUNCT
cana-4850	197	21	allowing	allow	VERB
cana-4850	197	22	researchers	researcher	NOUN
cana-4850	197	23	to	to	PART
cana-4850	197	24	optimize	optimize	VERB
cana-4850	197	25	folding	fold	VERB
cana-4850	197	26	pathways	pathway	NOUN
cana-4850	197	27	and	and	CCONJ
cana-4850	197	28	identify	identify	VERB
cana-4850	197	29	energetically	energetically	ADV
cana-4850	197	30	favorable	favorable	ADJ
cana-4850	197	31	conformations	conformation	NOUN
cana-4850	197	32	.	.	PUNCT
cana-4850	198	1	however	however	ADV
cana-4850	198	2	,	,	PUNCT
cana-4850	198	3	these	these	DET
cana-4850	198	4	simulations	simulation	NOUN
cana-4850	198	5	are	be	AUX
cana-4850	198	6	computationally	computationally	ADV
cana-4850	198	7	expensive	expensive	ADJ
cana-4850	198	8	and	and	CCONJ
cana-4850	198	9	require	require	VERB
cana-4850	198	10	significant	significant	ADJ
cana-4850	198	11	processing	processing	NOUN
cana-4850	198	12	power	power	NOUN
cana-4850	198	13	.	.	PUNCT
cana-4850	199	1	to	to	PART
cana-4850	199	2	overcome	overcome	VERB
cana-4850	199	3	this	this	DET
cana-4850	199	4	limitation	limitation	NOUN
cana-4850	199	5	,	,	PUNCT
cana-4850	199	6	hybrid	hybrid	NOUN
cana-4850	199	7	models	model	NOUN
cana-4850	199	8	that	that	PRON
cana-4850	199	9	integrate	integrate	VERB
cana-4850	199	10	deep	deep	ADJ
cana-4850	199	11	learning	learning	NOUN
cana-4850	199	12	with	with	ADP
cana-4850	199	13	md	md	PROPN
cana-4850	199	14	refinement	refinement	NOUN
cana-4850	199	15	are	be	AUX
cana-4850	199	16	being	be	AUX
cana-4850	199	17	developed	develop	VERB
cana-4850	199	18	.	.	PUNCT
cana-4850	200	1	for	for	ADP
cana-4850	200	2	instance	instance	NOUN
cana-4850	200	3	,	,	PUNCT
cana-4850	200	4	alphafold	alphafold	ADJ
cana-4850	200	5	can	can	AUX
cana-4850	200	6	generate	generate	VERB
cana-4850	200	7	an	an	DET
cana-4850	200	8	initial	initial	ADJ
cana-4850	200	9	structure	structure	NOUN
cana-4850	200	10	,	,	PUNCT
cana-4850	200	11	which	which	PRON
cana-4850	200	12	is	be	AUX
cana-4850	200	13	then	then	ADV
cana-4850	200	14	refined	refine	VERB
cana-4850	200	15	using	use	VERB
cana-4850	200	16	md	md	PROPN
cana-4850	200	17	simulations	simulation	NOUN
cana-4850	200	18	to	to	PART
cana-4850	200	19	achieve	achieve	VERB
cana-4850	200	20	a	a	DET
cana-4850	200	21	more	more	ADV
cana-4850	200	22	biologically	biologically	ADV
cana-4850	200	23	relevant	relevant	ADJ
cana-4850	200	24	conformation	conformation	NOUN
cana-4850	200	25	.	.	PUNCT
cana-4850	201	1	this	this	DET
cana-4850	201	2	combination	combination	NOUN
cana-4850	201	3	allows	allow	VERB
cana-4850	201	4	for	for	ADP
cana-4850	201	5	faster	fast	ADJ
cana-4850	201	6	and	and	CCONJ
cana-4850	201	7	more	more	ADV
cana-4850	201	8	accurate	accurate	ADJ
cana-4850	201	9	predictions	prediction	NOUN
cana-4850	201	10	,	,	PUNCT
cana-4850	201	11	reducing	reduce	VERB
cana-4850	201	12	reliance	reliance	NOUN
cana-4850	201	13	on	on	ADP
cana-4850	201	14	purely	purely	ADV
cana-4850	201	15	experimental	experimental	ADJ
cana-4850	201	16	techniques	technique	NOUN
cana-4850	201	17	.	.	PUNCT
cana-4850	202	1	computational	computational	ADJ
cana-4850	202	2	costs	cost	NOUN
cana-4850	202	3	and	and	CCONJ
cana-4850	202	4	resource	resource	NOUN
cana-4850	202	5	limitations	limitation	NOUN
cana-4850	202	6	:	:	PUNCT
cana-4850	202	7	training	train	VERB
cana-4850	202	8	large	large	ADJ
cana-4850	202	9	-	-	PUNCT
cana-4850	202	10	scale	scale	NOUN
cana-4850	202	11	deep	deep	ADJ
cana-4850	202	12	learning	learning	NOUN
cana-4850	202	13	models	model	NOUN
cana-4850	202	14	for	for	ADP
cana-4850	202	15	protein	protein	NOUN
cana-4850	202	16	structure	structure	NOUN
cana-4850	202	17	prediction	prediction	NOUN
cana-4850	202	18	requires	require	VERB
cana-4850	202	19	substantial	substantial	ADJ
cana-4850	202	20	computational	computational	ADJ
cana-4850	202	21	resources	resource	NOUN
cana-4850	202	22	,	,	PUNCT
cana-4850	202	23	making	make	VERB
cana-4850	202	24	these	these	DET
cana-4850	202	25	methods	method	NOUN
cana-4850	202	26	inaccessible	inaccessible	ADJ
cana-4850	202	27	to	to	ADP
cana-4850	202	28	many	many	ADJ
cana-4850	202	29	researchers	researcher	NOUN
cana-4850	202	30	.	.	PUNCT
cana-4850	203	1	efforts	effort	NOUN
cana-4850	203	2	are	be	AUX
cana-4850	203	3	being	be	AUX
cana-4850	203	4	made	make	VERB
cana-4850	203	5	to	to	PART
cana-4850	203	6	develop	develop	VERB
cana-4850	203	7	lightweight	lightweight	ADJ
cana-4850	203	8	and	and	CCONJ
cana-4850	203	9	efficient	efficient	ADJ
cana-4850	203	10	models	model	NOUN
cana-4850	203	11	that	that	PRON
cana-4850	203	12	require	require	VERB
cana-4850	203	13	less	less	ADV
cana-4850	203	14	computational	computational	ADJ
cana-4850	203	15	power	power	NOUN
cana-4850	203	16	while	while	SCONJ
cana-4850	203	17	maintaining	maintain	VERB
cana-4850	203	18	accuracy	accuracy	NOUN
cana-4850	203	19	.	.	PUNCT
cana-4850	204	1	for	for	ADP
cana-4850	204	2	example	example	NOUN
cana-4850	204	3	,	,	PUNCT
cana-4850	204	4	alphafold	alphafold	ADJ
cana-4850	204	5	-	-	PUNCT
cana-4850	204	6	lite	lite	ADJ
cana-4850	204	7	and	and	CCONJ
cana-4850	204	8	low	low	ADJ
cana-4850	204	9	-	-	PUNCT
cana-4850	204	10	memory	memory	NOUN
cana-4850	204	11	deep	deep	ADJ
cana-4850	204	12	learning	learning	NOUN
cana-4850	204	13	architectures	architecture	NOUN
cana-4850	204	14	are	be	AUX
cana-4850	204	15	being	be	AUX
cana-4850	204	16	explored	explore	VERB
cana-4850	204	17	to	to	PART
cana-4850	204	18	make	make	VERB
cana-4850	204	19	protein	protein	NOUN
cana-4850	204	20	structure	structure	NOUN
cana-4850	204	21	prediction	prediction	NOUN
cana-4850	204	22	more	more	ADV
cana-4850	204	23	accessible	accessible	ADJ
cana-4850	204	24	to	to	ADP
cana-4850	204	25	a	a	DET
cana-4850	204	26	wider	wide	ADJ
cana-4850	204	27	scientific	scientific	ADJ
cana-4850	204	28	community	community	NOUN
cana-4850	204	29	.	.	PUNCT
cana-4850	205	1	4	4	X
cana-4850	205	2	.	.	X
cana-4850	205	3	conclusion	conclusion	NOUN
cana-4850	205	4	and	and	CCONJ
cana-4850	205	5	future	future	ADJ
cana-4850	205	6	scope	scope	NOUN
cana-4850	205	7	the	the	DET
cana-4850	205	8	prediction	prediction	NOUN
cana-4850	205	9	of	of	ADP
cana-4850	205	10	protein	protein	NOUN
cana-4850	205	11	structures	structure	NOUN
cana-4850	205	12	has	have	AUX
cana-4850	205	13	evolved	evolve	VERB
cana-4850	205	14	significantly	significantly	ADV
cana-4850	205	15	over	over	ADP
cana-4850	205	16	the	the	DET
cana-4850	205	17	years	year	NOUN
cana-4850	205	18	,	,	PUNCT
cana-4850	205	19	transitioning	transition	VERB
cana-4850	205	20	from	from	ADP
cana-4850	205	21	physics	physics	NOUN
cana-4850	205	22	-	-	PUNCT
cana-4850	205	23	based	base	VERB
cana-4850	205	24	simulations	simulation	NOUN
cana-4850	205	25	and	and	CCONJ
cana-4850	205	26	evolutionary	evolutionary	ADJ
cana-4850	205	27	modeling	modeling	NOUN
cana-4850	205	28	to	to	ADP
cana-4850	205	29	advanced	advanced	ADJ
cana-4850	205	30	deep	deep	ADJ
cana-4850	205	31	learning	learning	NOUN
cana-4850	205	32	approaches	approach	NOUN
cana-4850	205	33	.	.	PUNCT
cana-4850	206	1	communications	communication	NOUN
cana-4850	206	2	on	on	ADP
cana-4850	206	3	applied	apply	VERB
cana-4850	206	4	nonlinear	nonlinear	ADJ
cana-4850	206	5	analysis	analysis	NOUN
cana-4850	206	6	issn	issn	NOUN
cana-4850	206	7	:	:	PUNCT
cana-4850	206	8	1074	1074	NUM
cana-4850	206	9	-	-	PUNCT
cana-4850	206	10	133x	133x	NUM
cana-4850	206	11	vol	vol	VERB
cana-4850	206	12	32	32	NUM
cana-4850	206	13	no	no	NOUN
cana-4850	206	14	.	.	PUNCT
cana-4850	207	1	10s	10	NOUN
cana-4850	207	2	(	(	PUNCT
cana-4850	207	3	2025	2025	NUM
cana-4850	207	4	)	)	PUNCT
cana-4850	207	5	631	631	NUM
cana-4850	208	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4850	208	2	computational	computational	ADJ
cana-4850	208	3	methods	method	NOUN
cana-4850	208	4	,	,	PUNCT
cana-4850	208	5	particularly	particularly	ADV
cana-4850	208	6	deep	deep	ADJ
cana-4850	208	7	learning	learning	NOUN
cana-4850	208	8	-	-	PUNCT
cana-4850	208	9	driven	drive	VERB
cana-4850	208	10	models	model	NOUN
cana-4850	208	11	such	such	ADJ
cana-4850	208	12	as	as	ADP
cana-4850	208	13	alphafold2	alphafold2	NOUN
cana-4850	208	14	and	and	CCONJ
cana-4850	208	15	rosettafold	rosettafold	NOUN
cana-4850	208	16	,	,	PUNCT
cana-4850	208	17	have	have	AUX
cana-4850	208	18	demonstrated	demonstrate	VERB
cana-4850	208	19	remarkable	remarkable	ADJ
cana-4850	208	20	accuracy	accuracy	NOUN
cana-4850	208	21	in	in	ADP
cana-4850	208	22	predicting	predict	VERB
cana-4850	208	23	protein	protein	NOUN
cana-4850	208	24	folding	fold	VERB
cana-4850	208	25	patterns	pattern	NOUN
cana-4850	208	26	.	.	PUNCT
cana-4850	209	1	these	these	DET
cana-4850	209	2	advancements	advancement	NOUN
cana-4850	209	3	have	have	AUX
cana-4850	209	4	bridged	bridge	VERB
cana-4850	209	5	the	the	DET
cana-4850	209	6	gap	gap	NOUN
cana-4850	209	7	between	between	ADP
cana-4850	209	8	traditional	traditional	ADJ
cana-4850	209	9	experimental	experimental	ADJ
cana-4850	209	10	techniques	technique	NOUN
cana-4850	209	11	like	like	ADP
cana-4850	209	12	x	x	NOUN
cana-4850	209	13	-	-	NOUN
cana-4850	209	14	ray	ray	NOUN
cana-4850	209	15	crystallography	crystallography	NOUN
cana-4850	209	16	,	,	PUNCT
cana-4850	209	17	nmr	nmr	NOUN
cana-4850	209	18	spectroscopy	spectroscopy	NOUN
cana-4850	209	19	,	,	PUNCT
cana-4850	209	20	and	and	CCONJ
cana-4850	209	21	cryo	cryo	NOUN
cana-4850	209	22	-	-	PUNCT
cana-4850	209	23	electron	electron	NOUN
cana-4850	209	24	microscopy	microscopy	NOUN
cana-4850	209	25	,	,	PUNCT
cana-4850	209	26	offering	offer	VERB
cana-4850	209	27	faster	fast	ADJ
cana-4850	209	28	and	and	CCONJ
cana-4850	209	29	cost	cost	NOUN
cana-4850	209	30	-	-	PUNCT
cana-4850	209	31	effective	effective	ADJ
cana-4850	209	32	alternatives	alternative	NOUN
cana-4850	209	33	.	.	PUNCT
cana-4850	210	1	however	however	ADV
cana-4850	210	2	,	,	PUNCT
cana-4850	210	3	several	several	ADJ
cana-4850	210	4	challenges	challenge	NOUN
cana-4850	210	5	remain	remain	VERB
cana-4850	210	6	,	,	PUNCT
cana-4850	210	7	particularly	particularly	ADV
cana-4850	210	8	in	in	ADP
cana-4850	210	9	multi	multi	ADJ
cana-4850	210	10	-	-	ADJ
cana-4850	210	11	protein	protein	ADJ
cana-4850	210	12	interactions	interaction	NOUN
cana-4850	210	13	,	,	PUNCT
cana-4850	210	14	modeling	model	VERB
cana-4850	210	15	flexible	flexible	ADJ
cana-4850	210	16	regions	region	NOUN
cana-4850	210	17	,	,	PUNCT
cana-4850	210	18	and	and	CCONJ
cana-4850	210	19	improving	improve	VERB
cana-4850	210	20	side	side	NOUN
cana-4850	210	21	-	-	PUNCT
cana-4850	210	22	chain	chain	NOUN
cana-4850	210	23	accuracy	accuracy	NOUN
cana-4850	210	24	.	.	PUNCT
cana-4850	211	1	despite	despite	SCONJ
cana-4850	211	2	these	these	DET
cana-4850	211	3	breakthroughs	breakthrough	NOUN
cana-4850	211	4	,	,	PUNCT
cana-4850	211	5	protein	protein	NOUN
cana-4850	211	6	structure	structure	NOUN
cana-4850	211	7	prediction	prediction	NOUN
cana-4850	211	8	still	still	ADV
cana-4850	211	9	faces	face	VERB
cana-4850	211	10	limitations	limitation	NOUN
cana-4850	211	11	in	in	ADP
cana-4850	211	12	dataset	dataset	NOUN
cana-4850	211	13	biases	bias	NOUN
cana-4850	211	14	,	,	PUNCT
cana-4850	211	15	model	model	NOUN
cana-4850	211	16	interpretability	interpretability	NOUN
cana-4850	211	17	,	,	PUNCT
cana-4850	211	18	computational	computational	ADJ
cana-4850	211	19	efficiency	efficiency	NOUN
cana-4850	211	20	,	,	PUNCT
cana-4850	211	21	and	and	CCONJ
cana-4850	211	22	integration	integration	NOUN
cana-4850	211	23	with	with	ADP
cana-4850	211	24	real	real	ADJ
cana-4850	211	25	-	-	PUNCT
cana-4850	211	26	world	world	NOUN
cana-4850	211	27	experimental	experimental	ADJ
cana-4850	211	28	validation	validation	NOUN
cana-4850	211	29	.	.	PUNCT
cana-4850	212	1	many	many	ADJ
cana-4850	212	2	deep	deep	ADJ
cana-4850	212	3	learning	learning	NOUN
cana-4850	212	4	models	model	NOUN
cana-4850	212	5	depend	depend	VERB
cana-4850	212	6	heavily	heavily	ADV
cana-4850	212	7	on	on	ADP
cana-4850	212	8	high	high	ADJ
cana-4850	212	9	-	-	PUNCT
cana-4850	212	10	quality	quality	NOUN
cana-4850	212	11	sequence	sequence	NOUN
cana-4850	212	12	alignments	alignment	NOUN
cana-4850	212	13	,	,	PUNCT
cana-4850	212	14	making	make	VERB
cana-4850	212	15	it	it	PRON
cana-4850	212	16	difficult	difficult	ADJ
cana-4850	212	17	to	to	PART
cana-4850	212	18	predict	predict	VERB
cana-4850	212	19	structures	structure	NOUN
cana-4850	212	20	for	for	ADP
cana-4850	212	21	novel	novel	ADJ
cana-4850	212	22	or	or	CCONJ
cana-4850	212	23	orphan	orphan	NOUN
cana-4850	212	24	proteins	protein	NOUN
cana-4850	212	25	with	with	ADP
cana-4850	212	26	no	no	DET
cana-4850	212	27	homologous	homologous	ADJ
cana-4850	212	28	sequences	sequence	NOUN
cana-4850	212	29	.	.	PUNCT
cana-4850	213	1	furthermore	furthermore	ADV
cana-4850	213	2	,	,	PUNCT
cana-4850	213	3	while	while	SCONJ
cana-4850	213	4	existing	existing	ADJ
cana-4850	213	5	models	model	NOUN
cana-4850	213	6	can	can	AUX
cana-4850	213	7	predict	predict	VERB
cana-4850	213	8	static	static	ADJ
cana-4850	213	9	structures	structure	NOUN
cana-4850	213	10	with	with	ADP
cana-4850	213	11	high	high	ADJ
cana-4850	213	12	precision	precision	NOUN
cana-4850	213	13	,	,	PUNCT
cana-4850	213	14	accurately	accurately	ADV
cana-4850	213	15	simulating	simulate	VERB
cana-4850	213	16	dynamic	dynamic	ADJ
cana-4850	213	17	protein	protein	NOUN
cana-4850	213	18	behaviors	behavior	NOUN
cana-4850	213	19	,	,	PUNCT
cana-4850	213	20	ligand	ligand	NOUN
cana-4850	213	21	interactions	interaction	NOUN
cana-4850	213	22	,	,	PUNCT
cana-4850	213	23	and	and	CCONJ
cana-4850	213	24	post	post	ADJ
cana-4850	213	25	-	-	ADJ
cana-4850	213	26	translational	translational	ADJ
cana-4850	213	27	modifications	modification	NOUN
cana-4850	213	28	remains	remain	VERB
cana-4850	213	29	an	an	DET
cana-4850	213	30	ongoing	ongoing	ADJ
cana-4850	213	31	challenge	challenge	NOUN
cana-4850	213	32	.	.	PUNCT
cana-4850	214	1	the	the	DET
cana-4850	214	2	future	future	NOUN
cana-4850	214	3	of	of	ADP
cana-4850	214	4	protein	protein	NOUN
cana-4850	214	5	structure	structure	NOUN
cana-4850	214	6	prediction	prediction	NOUN
cana-4850	214	7	lies	lie	VERB
cana-4850	214	8	at	at	ADP
cana-4850	214	9	the	the	DET
cana-4850	214	10	intersection	intersection	NOUN
cana-4850	214	11	of	of	ADP
cana-4850	214	12	ai	ai	PROPN
cana-4850	214	13	,	,	PUNCT
cana-4850	214	14	quantum	quantum	NOUN
cana-4850	214	15	computing	computing	NOUN
cana-4850	214	16	,	,	PUNCT
cana-4850	214	17	and	and	CCONJ
cana-4850	214	18	experimental	experimental	ADJ
cana-4850	214	19	biology	biology	NOUN
cana-4850	214	20	.	.	PUNCT
cana-4850	215	1	as	as	SCONJ
cana-4850	215	2	computational	computational	ADJ
cana-4850	215	3	models	model	NOUN
cana-4850	215	4	continue	continue	VERB
cana-4850	215	5	to	to	PART
cana-4850	215	6	evolve	evolve	VERB
cana-4850	215	7	,	,	PUNCT
cana-4850	215	8	their	their	PRON
cana-4850	215	9	integration	integration	NOUN
cana-4850	215	10	with	with	ADP
cana-4850	215	11	real	real	ADJ
cana-4850	215	12	-	-	PUNCT
cana-4850	215	13	world	world	NOUN
cana-4850	215	14	biochemical	biochemical	ADJ
cana-4850	215	15	applications	application	NOUN
cana-4850	215	16	will	will	AUX
cana-4850	215	17	pave	pave	VERB
cana-4850	215	18	the	the	DET
cana-4850	215	19	way	way	NOUN
cana-4850	215	20	for	for	ADP
cana-4850	215	21	groundbreaking	groundbreake	VERB
cana-4850	215	22	discoveries	discovery	NOUN
cana-4850	215	23	in	in	ADP
cana-4850	215	24	drug	drug	NOUN
cana-4850	215	25	development	development	NOUN
cana-4850	215	26	,	,	PUNCT
cana-4850	215	27	synthetic	synthetic	ADJ
cana-4850	215	28	biology	biology	NOUN
cana-4850	215	29	,	,	PUNCT
cana-4850	215	30	and	and	CCONJ
cana-4850	215	31	personalized	personalized	ADJ
cana-4850	215	32	medicine	medicine	NOUN
cana-4850	215	33	.	.	PUNCT
cana-4850	216	1	addressing	address	VERB
cana-4850	216	2	the	the	DET
cana-4850	216	3	existing	exist	VERB
cana-4850	216	4	challenges	challenge	NOUN
cana-4850	216	5	will	will	AUX
cana-4850	216	6	not	not	PART
cana-4850	216	7	only	only	ADV
cana-4850	216	8	refine	refine	VERB
cana-4850	216	9	our	our	PRON
cana-4850	216	10	understanding	understanding	NOUN
cana-4850	216	11	of	of	ADP
cana-4850	216	12	protein	protein	NOUN
cana-4850	216	13	folding	fold	VERB
cana-4850	216	14	mechanisms	mechanism	NOUN
cana-4850	216	15	but	but	CCONJ
cana-4850	216	16	also	also	ADV
cana-4850	216	17	unlock	unlock	VERB
cana-4850	216	18	new	new	ADJ
cana-4850	216	19	possibilities	possibility	NOUN
cana-4850	216	20	for	for	ADP
cana-4850	216	21	engineering	engineer	VERB
cana-4850	216	22	novel	novel	NOUN
cana-4850	216	23	biomolecules	biomolecule	NOUN
cana-4850	216	24	with	with	ADP
cana-4850	216	25	tailored	tailor	VERB
cana-4850	216	26	functions	function	NOUN
cana-4850	216	27	.	.	PUNCT
cana-4850	217	1	by	by	ADP
cana-4850	217	2	leveraging	leverage	VERB
cana-4850	217	3	interdisciplinary	interdisciplinary	ADJ
cana-4850	217	4	innovations	innovation	NOUN
cana-4850	217	5	,	,	PUNCT
cana-4850	217	6	protein	protein	NOUN
cana-4850	217	7	modeling	modeling	NOUN
cana-4850	217	8	can	can	AUX
cana-4850	217	9	become	become	VERB
cana-4850	217	10	a	a	DET
cana-4850	217	11	cornerstone	cornerstone	NOUN
cana-4850	217	12	of	of	ADP
cana-4850	217	13	next	next	ADJ
cana-4850	217	14	-	-	PUNCT
cana-4850	217	15	generation	generation	NOUN
cana-4850	217	16	biomedical	biomedical	ADJ
cana-4850	217	17	research	research	NOUN
cana-4850	217	18	and	and	CCONJ
cana-4850	217	19	therapeutic	therapeutic	ADJ
cana-4850	217	20	advancements	advancement	NOUN
cana-4850	217	21	.	.	PUNCT
cana-4850	218	1	references	reference	NOUN
cana-4850	218	2	[	[	X
cana-4850	218	3	1	1	NUM
cana-4850	218	4	]	]	X
cana-4850	218	5	jadhav	jadhav	PROPN
cana-4850	218	6	,	,	PUNCT
cana-4850	218	7	swati	swati	PROPN
cana-4850	218	8	and	and	CCONJ
cana-4850	218	9	vyavahare	vyavahare	PROPN
cana-4850	218	10	,	,	PUNCT
cana-4850	218	11	arati	arati	PROPN
cana-4850	218	12	j.	j.	PROPN
cana-4850	218	13	and	and	CCONJ
cana-4850	218	14	sharma	sharma	PROPN
cana-4850	218	15	,	,	PUNCT
cana-4850	218	16	manish	manish	PROPN
cana-4850	218	17	,	,	PUNCT
cana-4850	218	18	a	a	DET
cana-4850	218	19	systematic	systematic	ADJ
cana-4850	218	20	review	review	NOUN
cana-4850	218	21	on	on	ADP
cana-4850	218	22	protein	protein	NOUN
cana-4850	218	23	structure	structure	NOUN
cana-4850	218	24	prediction	prediction	NOUN
cana-4850	218	25	–	–	PUNCT
cana-4850	218	26	conventional	conventional	ADJ
cana-4850	218	27	and	and	CCONJ
cana-4850	218	28	ai	ai	VERB
cana-4850	218	29	methods	method	NOUN
cana-4850	218	30	(	(	PUNCT
cana-4850	218	31	august	august	PROPN
cana-4850	218	32	15	15	NUM
cana-4850	218	33	,	,	PUNCT
cana-4850	218	34	2023	2023	NUM
cana-4850	218	35	)	)	PUNCT
cana-4850	218	36	.	.	PUNCT
cana-4850	219	1	available	available	ADJ
cana-4850	219	2	at	at	ADP
cana-4850	219	3	ssrn	ssrn	PROPN
cana-4850	219	4	:	:	PUNCT
cana-4850	219	5	https://ssrn.com/abstract=4541252	https://ssrn.com/abstract=4541252	PROPN
cana-4850	219	6	or	or	CCONJ
cana-4850	219	7	http://dx.doi.org/10.2139/ssrn.4541252	http://dx.doi.org/10.2139/ssrn.4541252	NOUN
cana-4850	220	1	[	[	X
cana-4850	220	2	2	2	NUM
cana-4850	220	3	]	]	SYM
cana-4850	220	4	yang	yang	PROPN
cana-4850	220	5	,	,	PUNCT
cana-4850	220	6	z.	z.	PROPN
cana-4850	220	7	,	,	PUNCT
cana-4850	220	8	zeng	zeng	PROPN
cana-4850	220	9	,	,	PUNCT
cana-4850	220	10	x.	x.	PROPN
cana-4850	220	11	,	,	PUNCT
cana-4850	220	12	zhao	zhao	PROPN
cana-4850	220	13	,	,	PUNCT
cana-4850	220	14	y.	y.	PROPN
cana-4850	220	15	et	et	PROPN
cana-4850	220	16	al	al	PROPN
cana-4850	220	17	.	.	PUNCT
cana-4850	220	18	alphafold2	alphafold2	PROPN
cana-4850	220	19	and	and	CCONJ
cana-4850	220	20	its	its	PRON
cana-4850	220	21	applications	application	NOUN
cana-4850	220	22	in	in	ADP
cana-4850	220	23	the	the	DET
cana-4850	220	24	fields	field	NOUN
cana-4850	220	25	of	of	ADP
cana-4850	220	26	biology	biology	NOUN
cana-4850	220	27	and	and	CCONJ
cana-4850	220	28	medicine	medicine	NOUN
cana-4850	220	29	.	.	PUNCT
cana-4850	221	1	sig	sig	PRON
cana-4850	221	2	transduct	transduct	NOUN
cana-4850	221	3	target	target	NOUN
cana-4850	221	4	ther	ther	ADV
cana-4850	221	5	8	8	NUM
cana-4850	221	6	,	,	PUNCT
cana-4850	221	7	115	115	NUM
cana-4850	221	8	(	(	PUNCT
cana-4850	221	9	2023	2023	NUM
cana-4850	221	10	)	)	PUNCT
cana-4850	221	11	.	.	PUNCT
cana-4850	222	1	https://doi.org/10.1038/s41392-023-01381z	https://doi.org/10.1038/s41392-023-01381z	PROPN
cana-4850	223	1	[	[	X
cana-4850	223	2	3	3	NUM
cana-4850	223	3	]	]	X
cana-4850	223	4	ebrahimi	ebrahimi	PROPN
cana-4850	223	5	,	,	PUNCT
cana-4850	223	6	s.b	s.b	PROPN
cana-4850	223	7	.	.	PROPN
cana-4850	223	8	,	,	PUNCT
cana-4850	223	9	samanta	samanta	PROPN
cana-4850	223	10	,	,	PUNCT
cana-4850	223	11	d.	d.	PROPN
cana-4850	223	12	engineering	engineering	PROPN
cana-4850	223	13	protein	protein	NOUN
cana-4850	223	14	-	-	PUNCT
cana-4850	223	15	based	base	VERB
cana-4850	223	16	therapeutics	therapeutic	NOUN
cana-4850	223	17	through	through	ADP
cana-4850	223	18	structural	structural	ADJ
cana-4850	223	19	and	and	CCONJ
cana-4850	223	20	chemical	chemical	NOUN
cana-4850	223	21	design	design	NOUN
cana-4850	223	22	.	.	PUNCT
cana-4850	224	1	nat	nat	PROPN
cana-4850	224	2	commun	commun	PROPN
cana-4850	224	3	14	14	NUM
cana-4850	224	4	,	,	PUNCT
cana-4850	224	5	2411	2411	NUM
cana-4850	224	6	(	(	PUNCT
cana-4850	224	7	2023	2023	NUM
cana-4850	224	8	)	)	PUNCT
cana-4850	224	9	.	.	PUNCT
cana-4850	225	1	https://doi.org/10.1038/s41467-023-38039-x	https://doi.org/10.1038/s41467-023-38039-x	PROPN
cana-4850	226	1	[	[	X
cana-4850	226	2	4	4	NUM
cana-4850	226	3	]	]	X
cana-4850	226	4	gauto	gauto	NOUN
cana-4850	226	5	,	,	PUNCT
cana-4850	226	6	d.f	d.f	PROPN
cana-4850	226	7	.	.	PROPN
cana-4850	226	8	,	,	PUNCT
cana-4850	226	9	estrozi	estrozi	PROPN
cana-4850	226	10	,	,	PUNCT
cana-4850	226	11	l.f	l.f	PROPN
cana-4850	226	12	.	.	PROPN
cana-4850	226	13	,	,	PUNCT
cana-4850	226	14	schwieters	schwieter	NOUN
cana-4850	226	15	,	,	PUNCT
cana-4850	226	16	c.d	c.d	PROPN
cana-4850	226	17	.	.	PROPN
cana-4850	226	18	et	et	PROPN
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cana-4850	227	6	cryo	cryo	NOUN
cana-4850	227	7	-	-	PUNCT
cana-4850	227	8	em	em	NOUN
cana-4850	227	9	atomicresolution	atomicresolution	NOUN
cana-4850	227	10	structure	structure	NOUN
cana-4850	227	11	determination	determination	NOUN
cana-4850	227	12	of	of	ADP
cana-4850	227	13	a	a	DET
cana-4850	227	14	half	half	ADJ
cana-4850	227	15	-	-	PUNCT
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cana-4850	227	18	complex	complex	NOUN
cana-4850	227	19	.	.	PUNCT
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cana-4850	228	2	commun	commun	PROPN
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cana-4850	228	4	,	,	PUNCT
cana-4850	228	5	2697	2697	NUM
cana-4850	228	6	(	(	PUNCT
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cana-4850	228	8	)	)	PUNCT
cana-4850	228	9	.	.	PUNCT
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cana-4850	230	3	]	]	PUNCT
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cana-4850	230	5	hw	hw	PROPN
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cana-4850	230	7	wang	wang	PROPN
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cana-4850	230	9	.	.	PUNCT
cana-4850	231	1	how	how	SCONJ
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cana-4850	231	3	-	-	PUNCT
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cana-4850	231	5	microscopy	microscopy	NOUN
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cana-4850	231	14	.	.	PUNCT
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cana-4850	232	8	.	.	PUNCT
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cana-4850	233	4	/	/	SYM
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cana-4850	233	6	.	.	PUNCT
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cana-4850	234	5	.	.	PUNCT
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cana-4850	235	2	:	:	PUNCT
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cana-4850	235	4	;	;	PUNCT
cana-4850	235	5	pmcid	pmcid	NOUN
cana-4850	235	6	:	:	PUNCT
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cana-4850	235	8	.	.	PUNCT
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cana-4850	236	13	-	-	PUNCT
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cana-4850	237	2	.	.	PUNCT
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cana-4850	238	3	-	-	PUNCT
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cana-4850	238	5	.	.	PUNCT
cana-4850	239	1	doi	doi	NOUN
cana-4850	239	2	:	:	PUNCT
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cana-4850	239	4	/	/	SYM
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cana-4850	239	11	.	.	PUNCT
cana-4850	240	1	pmid	pmid	NOUN
cana-4850	240	2	:	:	PUNCT
cana-4850	240	3	34156124	34156124	NUM
cana-4850	240	4	;	;	PUNCT
cana-4850	240	5	pmcid	pmcid	ADJ
cana-4850	240	6	:	:	PUNCT
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cana-4850	240	8	.	.	PUNCT
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cana-4850	241	2	7	7	X
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cana-4850	241	17	:	:	PUNCT
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cana-4850	241	20	and	and	CCONJ
cana-4850	241	21	symmetries	symmetry	NOUN
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cana-4850	243	7	.	.	PUNCT
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cana-4850	244	7	:	:	PUNCT
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cana-4850	245	8	:	:	PUNCT
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cana-4850	246	5	.	.	PUNCT
cana-4850	247	1	pmid	pmid	NOUN
cana-4850	247	2	:	:	PUNCT
cana-4850	247	3	34342271	34342271	NUM
cana-4850	247	4	;	;	PUNCT
cana-4850	247	5	pmcid	pmcid	NOUN
cana-4850	247	6	:	:	PUNCT
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cana-4850	247	8	.	.	PUNCT
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cana-4850	248	2	8	8	NUM
cana-4850	248	3	]	]	SYM
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cana-4850	248	5	,	,	PUNCT
cana-4850	248	6	p.	p.	PROPN
cana-4850	248	7	,	,	PUNCT
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cana-4850	248	16	a	a	DET
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cana-4850	248	18	approach	approach	NOUN
cana-4850	248	19	for	for	ADP
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cana-4850	248	21	and	and	CCONJ
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cana-4850	248	24	based	base	VERB
cana-4850	248	25	on	on	ADP
cana-4850	248	26	energetic	energetic	ADJ
cana-4850	248	27	profile	profile	NOUN
cana-4850	248	28	protein	protein	NOUN
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cana-4850	248	30	.	.	PUNCT
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cana-4850	249	4	,	,	PUNCT
cana-4850	249	5	2231	2231	NUM
cana-4850	249	6	(	(	PUNCT
cana-4850	249	7	2025	2025	NUM
cana-4850	249	8	)	)	PUNCT
cana-4850	249	9	.	.	PUNCT
cana-4850	250	1	https://doi.org/10.1038/s41467-025-57374-9	https://doi.org/10.1038/s41467-025-57374-9	NUM
cana-4850	251	1	[	[	X
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cana-4850	251	3	]	]	X
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cana-4850	251	41	prediction	prediction	NOUN
cana-4850	251	42	.	.	PUNCT
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cana-4850	252	2	j	j	PROPN
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cana-4850	253	4	.	.	PUNCT
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cana-4850	253	8	/	/	SYM
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cana-4850	255	14	yongcan	yongcan	PROPN
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cana-4850	256	3	)	)	PUNCT
cana-4850	256	4	.	.	PUNCT
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cana-4850	264	25	.	.	PUNCT
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cana-4850	265	5	(	(	PUNCT
cana-4850	265	6	2021	2021	NUM
cana-4850	265	7	)	)	PUNCT
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cana-4850	267	23	prediction	prediction	NOUN
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cana-4850	270	3	)	)	PUNCT
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cana-4850	271	3	structure	structure	NOUN
cana-4850	271	4	prediction	prediction	NOUN
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cana-4850	271	8	.	.	PUNCT
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cana-4850	272	2	/	/	SYM
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cana-4850	272	4	.	.	PUNCT
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cana-4850	273	3	]	]	PUNCT
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cana-4850	273	6	and	and	CCONJ
cana-4850	273	7	afiahayati	afiahayati	NUM
cana-4850	273	8	,	,	PUNCT
cana-4850	273	9	"	"	PUNCT
cana-4850	273	10	protein	protein	NOUN
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cana-4850	273	12	structure	structure	NOUN
cana-4850	273	13	prediction	prediction	NOUN
cana-4850	273	14	using	use	VERB
cana-4850	273	15	n	n	CCONJ
cana-4850	273	16	-	-	PUNCT
cana-4850	273	17	grams	gram	NOUN
cana-4850	273	18	and	and	CCONJ
cana-4850	273	19	1dimensional	1dimensional	NUM
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cana-4850	273	21	neural	neural	ADJ
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cana-4850	273	31	soft	soft	ADJ
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cana-4850	273	37	25th	25th	ADJ
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cana-4850	273	40	on	on	ADP
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cana-4850	273	43	systems	system	NOUN
cana-4850	273	44	(	(	PUNCT
cana-4850	273	45	scis&isis	scis&isis	NOUN
cana-4850	273	46	)	)	PUNCT
cana-4850	273	47	,	,	PUNCT
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cana-4850	273	49	,	,	PUNCT
cana-4850	273	50	japan	japan	PROPN
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cana-4850	273	56	1	1	NUM
cana-4850	273	57	-	-	SYM
cana-4850	273	58	6	6	NUM
cana-4850	273	59	,	,	PUNCT
cana-4850	273	60	doi	doi	NOUN
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cana-4850	274	7	“	"	PUNCT
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cana-4850	274	9	-	-	PUNCT
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cana-4850	274	11	-	-	PUNCT
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cana-4850	274	21	.	.	PUNCT
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cana-4850	275	2	,	,	PUNCT
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cana-4850	275	5	,	,	PUNCT
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cana-4850	275	7	-	-	PUNCT
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cana-4850	276	7	,	,	PUNCT
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cana-4850	289	5	,	,	PUNCT
cana-4850	289	6	c.	c.	PROPN
cana-4850	289	7	,	,	PUNCT
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cana-4850	289	10	y.	y.	PROPN
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cana-4850	290	16	monte	monte	PROPN
cana-4850	290	17	carlo	carlo	PROPN
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cana-4850	291	10	(	(	PUNCT
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cana-4850	291	12	)	)	PUNCT
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cana-4850	293	2	21	21	NUM
cana-4850	293	3	]	]	PUNCT
cana-4850	293	4	s.	s.	PROPN
cana-4850	293	5	t.	t.	PROPN
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cana-4850	293	9	csányi	csányi	PROPN
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cana-4850	293	13	-	-	PUNCT
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cana-4850	293	15	coarse	coarse	NOUN
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cana-4850	293	17	grained	grain	VERB
cana-4850	293	18	interactions	interaction	NOUN
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cana-4850	293	21	approximation	approximation	NOUN
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cana-4850	293	23	,	,	PUNCT
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cana-4850	294	2	.	.	PUNCT
cana-4850	295	1	b	b	X
cana-4850	295	2	,	,	PUNCT
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cana-4850	295	4	.	.	PROPN
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cana-4850	295	10	,	,	PUNCT
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cana-4850	295	12	.	.	PUNCT
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cana-4850	296	2	,	,	PUNCT
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cana-4850	296	4	.	.	PROPN
cana-4850	296	5	2017	2017	NUM
cana-4850	296	6	.	.	PUNCT
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cana-4850	297	7	:	:	PUNCT
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cana-4850	297	9	-	-	PUNCT
cana-4850	297	10	133x	133x	NUM
cana-4850	297	11	vol	vol	VERB
cana-4850	297	12	32	32	NUM
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cana-4850	297	14	.	.	PUNCT
cana-4850	298	1	10s	10	NOUN
cana-4850	298	2	(	(	PUNCT
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cana-4850	298	4	)	)	PUNCT
cana-4850	298	5	633	633	NUM
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cana-4850	299	2	22	22	NUM
cana-4850	299	3	]	]	PUNCT
cana-4850	299	4	m.	m.	PROPN
cana-4850	299	5	k.	k.	PROPN
cana-4850	299	6	scherer	scherer	PROPN
cana-4850	299	7	,	,	PUNCT
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cana-4850	299	17	,	,	PUNCT
cana-4850	299	18	h.	h.	PROPN
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cana-4850	299	20	,	,	PUNCT
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cana-4850	299	22	f.	f.	PROPN
cana-4850	299	23	noé	noé	PROPN
cana-4850	299	24	,	,	PUNCT
cana-4850	299	25	“	"	PUNCT
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cana-4850	299	29	features	feature	NOUN
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cana-4850	299	32	kinetics	kinetic	NOUN
cana-4850	299	33	,	,	PUNCT
cana-4850	299	34	”	"	PUNCT
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cana-4850	299	37	.	.	PUNCT
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cana-4850	300	2	.	.	PUNCT
cana-4850	300	3	,	,	PUNCT
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cana-4850	300	5	.	.	PROPN
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cana-4850	300	7	,	,	PUNCT
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cana-4850	300	10	19	19	NUM
cana-4850	300	11	,	,	PUNCT
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cana-4850	300	13	194108	194108	NUM
cana-4850	300	14	,	,	PUNCT
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cana-4850	300	17	.	.	PUNCT
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cana-4850	301	3	]	]	PUNCT
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cana-4850	301	5	j.	j.	PROPN
cana-4850	301	6	riesselman	riesselman	PROPN
cana-4850	301	7	,	,	PUNCT
cana-4850	301	8	j.	j.	PROPN
cana-4850	301	9	b.	b.	PROPN
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cana-4850	301	29	,	,	PUNCT
cana-4850	301	30	”	"	PUNCT
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cana-4850	301	32	.	.	PUNCT
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cana-4850	302	2	,	,	PUNCT
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cana-4850	302	4	.	.	PROPN
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cana-4850	302	6	,	,	PUNCT
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cana-4850	302	10	,	,	PUNCT
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cana-4850	302	12	.	.	PUNCT
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cana-4850	303	2	,	,	PUNCT
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cana-4850	303	4	.	.	PROPN
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cana-4850	303	6	.	.	PUNCT
cana-4850	304	1	[	[	X
cana-4850	304	2	24	24	NUM
cana-4850	304	3	]	]	X
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cana-4850	304	5	rao	rao	PROPN
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cana-4850	304	9	,	,	PUNCT
cana-4850	304	10	“	"	PUNCT
cana-4850	304	11	msa	msa	PROPN
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cana-4850	304	13	,	,	PUNCT
cana-4850	304	14	”	"	PUNCT
cana-4850	304	15	biorxiv	biorxiv	NOUN
cana-4850	304	16	,	,	PUNCT
cana-4850	304	17	p.	p.	NOUN
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cana-4850	304	19	,	,	PUNCT
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cana-4850	305	1	[	[	X
cana-4850	305	2	25	25	NUM
cana-4850	305	3	]	]	PUNCT
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cana-4850	305	7	“	"	PUNCT
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cana-4850	305	18	to	to	ADP
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cana-4850	305	21	,	,	PUNCT
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cana-4850	317	8	.	.	PUNCT
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cana-4850	318	2	,	,	PUNCT
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cana-4850	321	14	.	.	PUNCT
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cana-4850	322	4	,	,	PUNCT
cana-4850	322	5	1617–1623	1617–1623	NUM
cana-4850	322	6	(	(	PUNCT
cana-4850	322	7	2022	2022	NUM
cana-4850	322	8	)	)	PUNCT
cana-4850	322	9	.	.	PUNCT
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cana-4850	324	2	29	29	NUM
cana-4850	324	3	]	]	X
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cana-4850	324	18	,	,	PUNCT
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cana-4850	324	20	:	:	PUNCT
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cana-4850	324	34	,	,	PUNCT
cana-4850	324	35	volume	volume	NOUN
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cana-4850	324	37	,	,	PUNCT
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cana-4850	324	43	,	,	PUNCT
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cana-4850	324	45	2102–2110	2102–2110	NUM
cana-4850	324	46	,	,	PUNCT
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cana-4850	325	3	]	]	X
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cana-4850	325	6	,	,	PUNCT
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cana-4850	325	9	,	,	PUNCT
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cana-4850	325	16	ragotte	ragotte	PROPN
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cana-4850	325	18	,	,	PUNCT
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cana-4850	325	31	,	,	PUNCT
cana-4850	325	32	bethel	bethel	PROPN
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cana-4850	325	46	,	,	PUNCT
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cana-4850	325	58	,	,	PUNCT
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cana-4850	325	73	-	-	PUNCT
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cana-4850	325	79	proteinmpnn	proteinmpnn	NOUN
cana-4850	325	80	.	.	PUNCT
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cana-4850	326	2	.	.	PUNCT
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cana-4850	327	4	-	-	SYM
cana-4850	327	5	56	56	NUM
cana-4850	327	6	.	.	PUNCT
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cana-4850	327	12	.	.	PUNCT
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cana-4850	328	2	2022	2022	NUM
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cana-4850	328	5	.	.	PUNCT
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cana-4850	329	2	:	:	PUNCT
cana-4850	329	3	36108050	36108050	NUM
cana-4850	329	4	;	;	PUNCT
cana-4850	329	5	pmcid	pmcid	ADJ
cana-4850	329	6	:	:	PUNCT
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cana-4850	329	8	.	.	PUNCT
cana-4850	330	1	[	[	X
cana-4850	330	2	31	31	NUM
cana-4850	330	3	]	]	PUNCT
cana-4850	330	4	d’souza	d’souza	PROPN
cana-4850	330	5	,	,	PUNCT
cana-4850	330	6	s.	s.	PROPN
cana-4850	330	7	,	,	PUNCT
cana-4850	330	8	prema	prema	PROPN
cana-4850	330	9	,	,	PUNCT
cana-4850	330	10	k.v	k.v	PROPN
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cana-4850	330	13	balaji	balaji	PROPN
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cana-4850	331	11	prediction	prediction	NOUN
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cana-4850	331	13	binding	bind	VERB
cana-4850	331	14	site	site	NOUN
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cana-4850	332	7	,	,	PUNCT
cana-4850	332	8	306–315	306–315	NUM
cana-4850	332	9	(	(	PUNCT
cana-4850	332	10	2023	2023	NUM
cana-4850	332	11	)	)	PUNCT
cana-4850	332	12	.	.	PUNCT
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cana-4850	333	8	p.	p.	PROPN
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cana-4850	333	11	,	,	PUNCT
cana-4850	333	12	g.	g.	PROPN
cana-4850	333	13	c.	c.	PROPN
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cana-4850	333	18	c.	c.	PROPN
cana-4850	333	19	t.	t.	PROPN
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cana-4850	333	21	2025	2025	NUM
cana-4850	333	22	)	)	PUNCT
cana-4850	333	23	.	.	PUNCT
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cana-4850	334	9	interaction	interaction	NOUN
cana-4850	334	10	prediction	prediction	NOUN
cana-4850	334	11	using	use	VERB
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cana-4850	334	13	learning	learning	NOUN
cana-4850	334	14	and	and	CCONJ
cana-4850	334	15	deep	deep	ADJ
cana-4850	334	16	learning	learning	NOUN
cana-4850	334	17	.	.	PUNCT
cana-4850	335	1	biomolecules	biomolecule	NOUN
cana-4850	335	2	,	,	PUNCT
cana-4850	335	3	15(1	15(1	NUM
cana-4850	335	4	)	)	PUNCT
cana-4850	335	5	,	,	PUNCT
cana-4850	335	6	141	141	NUM
cana-4850	335	7	.	.	PUNCT
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cana-4850	336	4	]	]	PUNCT
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cana-4850	336	9	,	,	PUNCT
cana-4850	336	10	xiaogen	xiaogen	PROPN
cana-4850	336	11	zhou	zhou	PROPN
cana-4850	336	12	,	,	PUNCT
cana-4850	336	13	yang	yang	PROPN
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cana-4850	336	15	,	,	PUNCT
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cana-4850	336	18	,	,	PUNCT
cana-4850	336	19	yang	yang	PROPN
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cana-4850	336	21	,	,	PUNCT
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cana-4850	336	33	template	template	NOUN
cana-4850	336	34	recognition	recognition	NOUN
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cana-4850	336	38	,	,	PUNCT
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cana-4850	336	45	,	,	PUNCT
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cana-4850	336	49	5	5	NUM
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cana-4850	336	52	,	,	PUNCT
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cana-4850	336	60	34	34	NUM
cana-4850	336	61	]	]	X
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cana-4850	336	79	1d	1d	NUM
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cana-4850	336	83	,	,	PUNCT
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cana-4850	336	85	,	,	PUNCT
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cana-4850	336	88	,	,	PUNCT
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cana-4850	336	91	,	,	PUNCT
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cana-4850	336	97	,	,	PUNCT
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cana-4850	337	3	]	]	X
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cana-4850	339	5	.	.	PUNCT
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cana-4850	341	5	.	.	PUNCT
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cana-4850	342	2	:	:	PUNCT
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cana-4850	342	4	;	;	PUNCT
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cana-4850	342	6	:	:	PUNCT
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cana-4850	342	8	.	.	PUNCT
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cana-4850	343	7	:	:	PUNCT
cana-4850	343	8	1074	1074	NUM
cana-4850	343	9	-	-	PUNCT
cana-4850	343	10	133x	133x	NUM
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cana-4850	343	12	32	32	NUM
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cana-4850	344	4	)	)	PUNCT
cana-4850	344	5	634	634	NUM
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cana-4850	345	1	[	[	X
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cana-4850	345	3	]	]	PUNCT
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cana-4850	345	14	"	"	PUNCT
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cana-4850	345	21	-	-	ADJ
cana-4850	345	22	input	input	ADJ
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cana-4850	345	27	"	"	PUNCT
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cana-4850	346	2	-	-	SYM
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cana-4850	352	10	.	.	PUNCT
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cana-4850	379	17	:	:	PUNCT
cana-4850	379	18	a	a	DET
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cana-4850	379	20	review	review	NOUN
cana-4850	379	21	.	.	PUNCT
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cana-4850	380	2	.	.	PUNCT
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cana-4850	382	5	molecules28135169	molecules28135169	PROPN
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cana-4850	383	2	:	:	PUNCT
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cana-4850	383	5	pmcid	pmcid	ADJ
cana-4850	383	6	:	:	PUNCT
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cana-4850	383	8	.	.	PUNCT
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cana-4850	384	3	]	]	X
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cana-4850	384	9	i.	i.	PROPN
cana-4850	384	10	a	a	DET
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cana-4850	384	12	protein	protein	NOUN
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cana-4850	384	14	method	method	NOUN
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cana-4850	384	17	the	the	DET
cana-4850	384	18	protein	protein	NOUN
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cana-4850	384	20	in	in	ADP
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cana-4850	385	2	.	.	PUNCT
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cana-4850	388	2	.	.	PUNCT
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cana-4850	388	6	/	/	SYM
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cana-4850	388	8	-	-	PUNCT
cana-4850	388	9	020	020	NUM
cana-4850	388	10	-	-	PUNCT
cana-4850	388	11	00405	00405	NUM
cana-4850	388	12	-	-	PUNCT
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cana-4850	389	25	.	.	PUNCT
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cana-4850	390	3	-	-	PUNCT
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cana-4850	390	9	prediction	prediction	NOUN
cana-4850	390	10	.	.	PUNCT
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cana-4850	391	7	22(11	22(11	NUM
cana-4850	391	8	)	)	PUNCT
cana-4850	391	9	,	,	PUNCT
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cana-4850	391	11	.	.	PUNCT
cana-4850	392	1	https://doi.org/10.3390/ijms22115553	https://doi.org/10.3390/ijms22115553	PROPN
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cana-4850	393	5	,	,	PUNCT
cana-4850	393	6	d.	d.	PROPN
cana-4850	393	7	;	;	PUNCT
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cana-4850	393	10	s.a	s.a	PROPN
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cana-4850	393	16	;	;	PUNCT
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cana-4850	393	19	j.	j.	PROPN
cana-4850	393	20	;	;	PUNCT
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cana-4850	393	22	,	,	PUNCT
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cana-4850	393	29	wu	wu	PROPN
cana-4850	393	30	,	,	PUNCT
cana-4850	393	31	t.	t.	PROPN
cana-4850	393	32	;	;	PUNCT
cana-4850	393	33	cheng	cheng	PROPN
cana-4850	393	34	,	,	PUNCT
cana-4850	393	35	j.	j.	PROPN
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cana-4850	394	6	,	,	PUNCT
cana-4850	394	7	10	10	NUM
cana-4850	394	8	,	,	PUNCT
cana-4850	394	9	4282	4282	NUM
cana-4850	394	10	communications	communication	NOUN
cana-4850	394	11	on	on	ADP
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cana-4850	394	13	nonlinear	nonlinear	ADJ
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cana-4850	394	15	issn	issn	NOUN
cana-4850	394	16	:	:	PUNCT
cana-4850	394	17	1074	1074	NUM
cana-4850	394	18	-	-	PUNCT
cana-4850	394	19	133x	133x	NUM
cana-4850	394	20	vol	vol	VERB
cana-4850	394	21	32	32	NUM
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cana-4850	394	23	.	.	PUNCT
cana-4850	395	1	10s	10	NOUN
cana-4850	395	2	(	(	PUNCT
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cana-4850	395	4	)	)	PUNCT
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cana-4850	396	3	]	]	X
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cana-4850	396	7	h.	h.	PROPN
cana-4850	396	8	park	park	PROPN
cana-4850	396	9	,	,	PUNCT
cana-4850	396	10	m.	m.	NOUN
cana-4850	396	11	baek	baek	PROPN
cana-4850	396	12	,	,	PUNCT
cana-4850	396	13	i.	i.	PROPN
cana-4850	396	14	anishchenko	anishchenko	PROPN
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cana-4850	396	16	j.	j.	PROPN
cana-4850	396	17	dauparas	dauparas	PROPN
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cana-4850	396	20	d.	d.	PROPN
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cana-4850	396	22	,	,	PUNCT
cana-4850	396	23	“	"	PUNCT
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cana-4850	396	35	,	,	PUNCT
cana-4850	396	36	”	"	PUNCT
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cana-4850	397	5	.	.	PROPN
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cana-4850	397	11	,	,	PUNCT
cana-4850	397	12	p.	p.	NOUN
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cana-4850	398	18	“	"	PUNCT
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cana-4850	398	21	:	:	PUNCT
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cana-4850	398	30	for	for	ADP
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cana-4850	398	34	,	,	PUNCT
cana-4850	398	35	”	"	PUNCT
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cana-4850	398	37	,	,	PUNCT
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cana-4850	399	2	51	51	NUM
cana-4850	399	3	]	]	PUNCT
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cana-4850	399	29	(	(	PUNCT
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cana-4850	399	31	)	)	PUNCT
cana-4850	399	32	,	,	PUNCT
cana-4850	399	33	”	"	PUNCT
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cana-4850	402	7	pp	pp	ADJ
cana-4850	402	8	.	.	PUNCT
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cana-4850	403	2	,	,	PUNCT
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cana-4850	404	1	[	[	X
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cana-4850	404	3	]	]	PUNCT
cana-4850	404	4	“	"	PUNCT
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cana-4850	404	6	:	:	PUNCT
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cana-4850	404	10	a	a	DET
cana-4850	404	11	50	50	NUM
cana-4850	404	12	-	-	PUNCT
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cana-4850	404	14	-	-	PUNCT
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cana-4850	404	16	grand	grand	ADJ
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cana-4850	405	1	[	[	X
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cana-4850	406	2	:	:	PUNCT
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cana-4850	406	8	/	/	SYM
cana-4850	406	9	alphafold	alphafold	ADJ
cana-4850	406	10	-	-	PUNCT
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cana-4850	406	12	-	-	PUNCT
cana-4850	406	13	to	to	ADP
cana-4850	406	14	-	-	PUNCT
cana-4850	406	15	a-50	a-50	ADJ
cana-4850	406	16	-	-	PUNCT
cana-4850	406	17	year	year	NOUN
cana-4850	406	18	-	-	PUNCT
cana-4850	406	19	old	old	ADJ
cana-4850	406	20	-	-	PUNCT
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cana-4850	406	22	-	-	PUNCT
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cana-4850	406	24	.	.	PUNCT
cana-4850	407	1	[	[	X
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cana-4850	407	5	-	-	PUNCT
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cana-4850	407	8	.	.	PUNCT
cana-4850	408	1	[	[	X
cana-4850	408	2	53	53	NUM
cana-4850	408	3	]	]	PUNCT
cana-4850	408	4	a.	a.	PROPN
cana-4850	408	5	w.	w.	PROPN
cana-4850	408	6	senior	senior	PROPN
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cana-4850	432	23	networks	network	NOUN
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cana-4850	432	29	”	"	PUNCT
cana-4850	432	30	bioinformatics	bioinformatics	NOUN
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cana-4850	433	2	,	,	PUNCT
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cana-4850	435	6	.	.	PUNCT
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cana-4850	437	2	(	(	PUNCT
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cana-4850	437	4	)	)	PUNCT
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cana-4850	438	3	]	]	PUNCT
cana-4850	438	4	j.	j.	PROPN
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cana-4850	438	8	riesselman	riesselman	NOUN
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cana-4850	438	10	c.	c.	PROPN
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cana-4850	438	16	and	and	CCONJ
cana-4850	438	17	h.	h.	PROPN
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cana-4850	438	21	“	"	PUNCT
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cana-4850	438	29	,	,	PUNCT
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cana-4850	438	31	sep	sep	PROPN
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cana-4850	438	34	.	.	PUNCT
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cana-4850	439	3	]	]	X
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cana-4850	439	5	m.	m.	PROPN
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cana-4850	439	20	"	"	PUNCT
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cana-4850	440	31	,	,	PUNCT
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cana-4850	440	33	biorxiv	biorxiv	NOUN
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cana-4850	440	38	.	.	PUNCT
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cana-4850	441	2	69	69	NUM
cana-4850	441	3	]	]	PUNCT
cana-4850	441	4	j.	j.	PROPN
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cana-4850	455	1	[	[	X
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cana-4850	455	4	j.	j.	PROPN
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cana-4850	456	1	[	[	X
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cana-4850	460	21	.	.	PUNCT
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cana-4850	486	18	boian	boian	PROPN
cana-4850	486	19	alexandrov	alexandrov	PROPN
cana-4850	486	20	,	,	PUNCT
cana-4850	486	21	hristo	hristo	PROPN
cana-4850	486	22	n.	n.	PROPN
cana-4850	486	23	djidjev	djidjev	PROPN
cana-4850	486	24	and	and	CCONJ
cana-4850	486	25	amarda	amarda	NOUN
cana-4850	486	26	shehu	shehu	NOUN
cana-4850	486	27	.	.	PUNCT
cana-4850	486	28	improved	improve	VERB
cana-4850	486	29	protein	protein	NOUN
cana-4850	486	30	decoy	decoy	NOUN
cana-4850	486	31	selection	selection	NOUN
cana-4850	486	32	via	via	ADP
cana-4850	486	33	non	non	ADJ
cana-4850	486	34	-	-	ADJ
cana-4850	486	35	negative	negative	ADJ
cana-4850	486	36	communications	communication	NOUN
cana-4850	486	37	on	on	ADP
cana-4850	486	38	applied	apply	VERB
cana-4850	486	39	nonlinear	nonlinear	ADJ
cana-4850	486	40	analysis	analysis	NOUN
cana-4850	486	41	issn	issn	NOUN
cana-4850	486	42	:	:	PUNCT
cana-4850	486	43	1074	1074	NUM
cana-4850	486	44	-	-	PUNCT
cana-4850	486	45	133x	133x	NUM
cana-4850	486	46	vol	vol	VERB
cana-4850	486	47	32	32	NUM
cana-4850	486	48	no	no	NOUN
cana-4850	486	49	.	.	PUNCT
cana-4850	487	1	10s	10	NOUN
cana-4850	487	2	(	(	PUNCT
cana-4850	487	3	2025	2025	NUM
cana-4850	487	4	)	)	PUNCT
cana-4850	487	5	637	637	NUM
cana-4850	487	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4850	487	7	matrix	matrix	NOUN
cana-4850	487	8	factorization	factorization	NOUN
cana-4850	487	9	.	.	PUNCT
cana-4850	488	1	ieee	ieee	PROPN
cana-4850	488	2	/	/	SYM
cana-4850	488	3	acm	acm	PROPN
cana-4850	488	4	transactions	transaction	NOUN
cana-4850	488	5	on	on	ADP
cana-4850	488	6	computational	computational	ADJ
cana-4850	488	7	biology	biology	NOUN
cana-4850	488	8	and	and	CCONJ
cana-4850	488	9	bioinformatics	bioinformatics	NOUN
cana-4850	488	10	2021	2021	NUM
cana-4850	488	11	.	.	PUNCT
cana-4850	489	1	[	[	X
cana-4850	489	2	85	85	NUM
cana-4850	489	3	]	]	X
cana-4850	489	4	burley	burley	NOUN
cana-4850	489	5	,	,	PUNCT
cana-4850	489	6	stephenk	stephenk	NOUN
cana-4850	489	7	and	and	CCONJ
cana-4850	489	8	helen	helen	PROPN
cana-4850	489	9	m.	m.	PROPN
cana-4850	489	10	berman	berman	PROPN
cana-4850	489	11	.	.	PUNCT
cana-4850	490	1	open	open	ADJ
cana-4850	490	2	-	-	PUNCT
cana-4850	490	3	access	access	NOUN
cana-4850	490	4	data	datum	NOUN
cana-4850	490	5	:	:	PUNCT
cana-4850	490	6	a	a	DET
cana-4850	490	7	cornerstone	cornerstone	NOUN
cana-4850	490	8	for	for	ADP
cana-4850	490	9	artificial	artificial	ADJ
cana-4850	490	10	intelligence	intelligence	NOUN
cana-4850	490	11	approaches	approach	NOUN
cana-4850	490	12	to	to	ADP
cana-4850	490	13	protein	protein	NOUN
cana-4850	490	14	structure	structure	NOUN
cana-4850	490	15	prediction	prediction	NOUN
cana-4850	490	16	.	.	PUNCT
cana-4850	491	1	structure	structure	NOUN
cana-4850	491	2	2021	2021	NUM
cana-4850	491	3	.	.	PUNCT
cana-4850	492	1	[	[	X
cana-4850	492	2	86	86	NUM
cana-4850	492	3	]	]	PUNCT
cana-4850	492	4	bryant	bryant	NOUN
cana-4850	492	5	,	,	PUNCT
cana-4850	492	6	p.	p.	PROPN
cana-4850	492	7	,	,	PUNCT
cana-4850	492	8	pozzati	pozzati	PROPN
cana-4850	492	9	,	,	PUNCT
cana-4850	492	10	g.	g.	PROPN
cana-4850	492	11	,	,	PUNCT
cana-4850	492	12	and	and	CCONJ
cana-4850	492	13	elofsson	elofsson	NOUN
cana-4850	492	14	,	,	PUNCT
cana-4850	492	15	a.	a.	NOUN
cana-4850	492	16	(	(	PUNCT
cana-4850	492	17	2022	2022	NUM
cana-4850	492	18	)	)	PUNCT
cana-4850	492	19	.	.	PUNCT
cana-4850	492	20	improved	improve	VERB
cana-4850	492	21	prediction	prediction	NOUN
cana-4850	492	22	of	of	ADP
cana-4850	492	23	protein	protein	NOUN
cana-4850	492	24	-	-	PUNCT
cana-4850	492	25	protein	protein	NOUN
cana-4850	492	26	interactions	interaction	NOUN
cana-4850	492	27	using	use	VERB
cana-4850	492	28	alphafold2	alphafold2	NOUN
cana-4850	492	29	.	.	PUNCT
cana-4850	493	1	nat	nat	PROPN
cana-4850	493	2	.	.	PUNCT
cana-4850	494	1	commun	commun	PROPN
cana-4850	494	2	.	.	PUNCT
cana-4850	495	1	13	13	NUM
cana-4850	495	2	,	,	PUNCT
cana-4850	495	3	1265	1265	NUM
cana-4850	495	4	.	.	PUNCT
cana-4850	496	1	doi:10.1038	doi:10.1038	NOUN
cana-4850	496	2	/	/	SYM
cana-4850	496	3	s41467	s41467	NOUN
cana-4850	496	4	-	-	PUNCT
cana-4850	496	5	022	022	NUM
cana-4850	496	6	-	-	PUNCT
cana-4850	496	7	28865	28865	NUM
cana-4850	496	8	-	-	PUNCT
cana-4850	496	9	w	w	NOUN
cana-4850	497	1	[	[	X
cana-4850	497	2	87	87	NUM
cana-4850	497	3	]	]	PUNCT
cana-4850	497	4	drake	drake	PROPN
cana-4850	497	5	,	,	PUNCT
cana-4850	497	6	z.c	z.c	PROPN
cana-4850	497	7	.	.	PROPN
cana-4850	497	8	,	,	PUNCT
cana-4850	497	9	seffernick	seffernick	PROPN
cana-4850	497	10	,	,	PUNCT
cana-4850	497	11	j.t	j.t	PROPN
cana-4850	497	12	.	.	PROPN
cana-4850	497	13	&	&	CCONJ
cana-4850	497	14	lindert	lindert	PROPN
cana-4850	497	15	,	,	PUNCT
cana-4850	497	16	s.	s.	PROPN
cana-4850	497	17	protein	protein	NOUN
cana-4850	497	18	complex	complex	ADJ
cana-4850	497	19	prediction	prediction	NOUN
cana-4850	497	20	using	use	VERB
cana-4850	497	21	rosetta	rosetta	NOUN
cana-4850	497	22	,	,	PUNCT
cana-4850	497	23	alphafold	alphafold	ADJ
cana-4850	497	24	,	,	PUNCT
cana-4850	497	25	and	and	CCONJ
cana-4850	497	26	mass	mass	ADJ
cana-4850	497	27	spectrometry	spectrometry	NOUN
cana-4850	497	28	covalent	covalent	NOUN
cana-4850	497	29	labeling	labeling	NOUN
cana-4850	497	30	.	.	PUNCT
cana-4850	498	1	nat	nat	PROPN
cana-4850	498	2	commun	commun	PROPN
cana-4850	498	3	13	13	NUM
cana-4850	498	4	,	,	PUNCT
cana-4850	498	5	7846	7846	NUM
cana-4850	498	6	(	(	PUNCT
cana-4850	498	7	2022	2022	NUM
cana-4850	498	8	)	)	PUNCT
cana-4850	498	9	.	.	PUNCT
cana-4850	499	1	https://doi.org/10.1038/s41467-022-35593-	https://doi.org/10.1038/s41467-022-35593-	PROPN
cana-4850	499	2	.	.	PUNCT