id	sid	tid	token	lemma	pos
cana-2251	1	1	communications	communication	NOUN
cana-2251	1	2	on	on	ADP
cana-2251	1	3	applied	apply	VERB
cana-2251	1	4	nonlinear	nonlinear	ADJ
cana-2251	1	5	analysis	analysis	NOUN
cana-2251	1	6	issn	issn	NOUN
cana-2251	1	7	:	:	PUNCT
cana-2251	1	8	1074	1074	NUM
cana-2251	1	9	-	-	PUNCT
cana-2251	1	10	133x	133x	NUM
cana-2251	1	11	vol	vol	NOUN
cana-2251	1	12	32	32	NUM
cana-2251	1	13	no	no	NOUN
cana-2251	1	14	.	.	PUNCT
cana-2251	2	1	2s	2s	NUM
cana-2251	2	2	(	(	PUNCT
cana-2251	2	3	2025	2025	NUM
cana-2251	2	4	)	)	PUNCT
cana-2251	2	5	64	64	NUM
cana-2251	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2251	2	7	employing	employ	VERB
cana-2251	2	8	evolutionary	evolutionary	ADJ
cana-2251	2	9	computing	computing	NOUN
cana-2251	2	10	and	and	CCONJ
cana-2251	2	11	hybrid	hybrid	ADJ
cana-2251	2	12	artificial	artificial	ADJ
cana-2251	2	13	neural	neural	ADJ
cana-2251	2	14	networks	network	NOUN
cana-2251	2	15	to	to	PART
cana-2251	2	16	improve	improve	VERB
cana-2251	2	17	drug	drug	NOUN
cana-2251	2	18	discovery	discovery	PROPN
cana-2251	2	19	dr	dr	PROPN
cana-2251	2	20	.	.	PROPN
cana-2251	2	21	nidhi	nidhi	PROPN
cana-2251	2	22	mishra1	mishra1	PROPN
cana-2251	2	23	,	,	PUNCT
cana-2251	2	24	yalakala	yalakala	PROPN
cana-2251	2	25	dinesh	dinesh	PROPN
cana-2251	2	26	kumar2	kumar2	PROPN
cana-2251	3	1	1assistant	1assistant	NUM
cana-2251	3	2	professor	professor	NOUN
cana-2251	3	3	,	,	PUNCT
cana-2251	3	4	department	department	NOUN
cana-2251	3	5	of	of	ADP
cana-2251	3	6	cs	cs	PROPN
cana-2251	3	7	&	&	CCONJ
cana-2251	3	8	it	it	PRON
cana-2251	3	9	,	,	PUNCT
cana-2251	3	10	kalinga	kalinga	PROPN
cana-2251	3	11	university	university	PROPN
cana-2251	3	12	,	,	PUNCT
cana-2251	3	13	raipur	raipur	PROPN
cana-2251	3	14	,	,	PUNCT
cana-2251	3	15	india	india	PROPN
cana-2251	3	16	.	.	PUNCT
cana-2251	4	1	2research	2research	NUM
cana-2251	4	2	scholar	scholar	NOUN
cana-2251	4	3	,	,	PUNCT
cana-2251	4	4	department	department	NOUN
cana-2251	4	5	of	of	ADP
cana-2251	4	6	cs	cs	PROPN
cana-2251	4	7	&	&	CCONJ
cana-2251	4	8	it	it	PRON
cana-2251	4	9	,	,	PUNCT
cana-2251	4	10	kalinga	kalinga	PROPN
cana-2251	4	11	university	university	PROPN
cana-2251	4	12	,	,	PUNCT
cana-2251	4	13	raipur	raipur	PROPN
cana-2251	4	14	,	,	PUNCT
cana-2251	4	15	india	india	PROPN
cana-2251	4	16	.	.	PUNCT
cana-2251	5	1	article	article	PROPN
cana-2251	5	2	history	history	NOUN
cana-2251	5	3	:	:	PUNCT
cana-2251	5	4	received	receive	VERB
cana-2251	5	5	:	:	PUNCT
cana-2251	5	6	01	01	NUM
cana-2251	5	7	-	-	SYM
cana-2251	5	8	09	09	NUM
cana-2251	5	9	-	-	PUNCT
cana-2251	5	10	2024	2024	NUM
cana-2251	5	11	revised	revise	VERB
cana-2251	5	12	:	:	PUNCT
cana-2251	5	13	12	12	NUM
cana-2251	5	14	-	-	SYM
cana-2251	5	15	10	10	NUM
cana-2251	5	16	-	-	PUNCT
cana-2251	5	17	2024	2024	NUM
cana-2251	5	18	accepted	accept	VERB
cana-2251	5	19	:	:	PUNCT
cana-2251	5	20	27	27	NUM
cana-2251	5	21	-	-	SYM
cana-2251	5	22	10	10	NUM
cana-2251	5	23	-	-	PUNCT
cana-2251	5	24	2024	2024	NUM
cana-2251	5	25	abstract	abstract	NOUN
cana-2251	5	26	:	:	PUNCT
cana-2251	5	27	an	an	DET
cana-2251	5	28	ultimate	ultimate	ADJ
cana-2251	5	29	relevant	relevant	ADJ
cana-2251	5	30	translational	translational	ADJ
cana-2251	5	31	scientific	scientific	ADJ
cana-2251	5	32	endeavour	endeavour	NOUN
cana-2251	5	33	that	that	PRON
cana-2251	5	34	contributes	contribute	VERB
cana-2251	5	35	to	to	ADP
cana-2251	5	36	human	human	ADJ
cana-2251	5	37	vulnerability	vulnerability	NOUN
cana-2251	5	38	and	and	CCONJ
cana-2251	5	39	happiness	happiness	NOUN
cana-2251	5	40	might	might	AUX
cana-2251	5	41	be	be	AUX
cana-2251	5	42	the	the	DET
cana-2251	5	43	creation	creation	NOUN
cana-2251	5	44	and	and	CCONJ
cana-2251	5	45	advancement	advancement	NOUN
cana-2251	5	46	of	of	ADP
cana-2251	5	47	medications	medication	NOUN
cana-2251	5	48	.	.	PUNCT
cana-2251	6	1	fast	fast	ADJ
cana-2251	6	2	drug	drug	NOUN
cana-2251	6	3	discovery	discovery	NOUN
cana-2251	6	4	procedures	procedure	NOUN
cana-2251	6	5	necessitate	necessitate	ADJ
cana-2251	6	6	using	use	VERB
cana-2251	6	7	contemporary	contemporary	ADJ
cana-2251	6	8	computational	computational	ADJ
cana-2251	6	9	approaches	approach	NOUN
cana-2251	6	10	to	to	PART
cana-2251	6	11	tackle	tackle	VERB
cana-2251	6	12	pharma	pharma	PROPN
cana-2251	6	13	data	datum	NOUN
cana-2251	6	14	's	's	PART
cana-2251	6	15	complexities	complexity	NOUN
cana-2251	6	16	and	and	CCONJ
cana-2251	6	17	high	high	ADJ
cana-2251	6	18	complexity	complexity	NOUN
cana-2251	6	19	.	.	PUNCT
cana-2251	7	1	by	by	ADP
cana-2251	7	2	combining	combine	VERB
cana-2251	7	3	evolutionary	evolutionary	ADJ
cana-2251	7	4	computing	computing	NOUN
cana-2251	7	5	with	with	ADP
cana-2251	7	6	hybrid	hybrid	ADJ
cana-2251	7	7	artificial	artificial	ADJ
cana-2251	7	8	neural	neural	ADJ
cana-2251	7	9	networks	network	NOUN
cana-2251	7	10	(	(	PUNCT
cana-2251	7	11	ec	ec	NOUN
cana-2251	7	12	-	-	PUNCT
cana-2251	7	13	hanns	hann	NOUN
cana-2251	7	14	)	)	PUNCT
cana-2251	7	15	,	,	PUNCT
cana-2251	7	16	this	this	DET
cana-2251	7	17	research	research	NOUN
cana-2251	7	18	introduces	introduce	VERB
cana-2251	7	19	a	a	DET
cana-2251	7	20	novel	novel	ADJ
cana-2251	7	21	strategy	strategy	NOUN
cana-2251	7	22	for	for	ADP
cana-2251	7	23	optimizing	optimize	VERB
cana-2251	7	24	and	and	CCONJ
cana-2251	7	25	speeding	speed	VERB
cana-2251	7	26	up	up	ADP
cana-2251	7	27	the	the	DET
cana-2251	7	28	drug	drug	NOUN
cana-2251	7	29	development	development	NOUN
cana-2251	7	30	process	process	NOUN
cana-2251	7	31	.	.	PUNCT
cana-2251	8	1	to	to	PART
cana-2251	8	2	handle	handle	VERB
cana-2251	8	3	various	various	ADJ
cana-2251	8	4	drug	drug	NOUN
cana-2251	8	5	-	-	PUNCT
cana-2251	8	6	target	target	NOUN
cana-2251	8	7	relations	relation	NOUN
cana-2251	8	8	,	,	PUNCT
cana-2251	8	9	predict	predict	VERB
cana-2251	8	10	the	the	DET
cana-2251	8	11	efficacy	efficacy	NOUN
cana-2251	8	12	of	of	ADP
cana-2251	8	13	compounds	compound	NOUN
cana-2251	8	14	,	,	PUNCT
cana-2251	8	15	and	and	CCONJ
cana-2251	8	16	discover	discover	VERB
cana-2251	8	17	more	more	ADV
cana-2251	8	18	accurate	accurate	ADJ
cana-2251	8	19	potential	potential	ADJ
cana-2251	8	20	medications	medication	NOUN
cana-2251	8	21	,	,	PUNCT
cana-2251	8	22	the	the	DET
cana-2251	8	23	proposed	propose	VERB
cana-2251	8	24	model	model	NOUN
cana-2251	8	25	employs	employ	VERB
cana-2251	8	26	ec	ec	PROPN
cana-2251	8	27	to	to	PART
cana-2251	8	28	evolve	evolve	VERB
cana-2251	8	29	the	the	DET
cana-2251	8	30	computational	computational	ADJ
cana-2251	8	31	construction	construction	NOUN
cana-2251	8	32	and	and	CCONJ
cana-2251	8	33	hyperparameters	hyperparameter	NOUN
cana-2251	8	34	of	of	ADP
cana-2251	8	35	hanns	hann	NOUN
cana-2251	8	36	in	in	ADP
cana-2251	8	37	real	real	ADJ
cana-2251	8	38	-	-	PUNCT
cana-2251	8	39	time	time	NOUN
cana-2251	8	40	.	.	PUNCT
cana-2251	9	1	this	this	DET
cana-2251	9	2	innovation	innovation	NOUN
cana-2251	9	3	makes	make	VERB
cana-2251	9	4	the	the	DET
cana-2251	9	5	model	model	NOUN
cana-2251	9	6	a	a	DET
cana-2251	9	7	flexible	flexible	ADJ
cana-2251	9	8	framework	framework	NOUN
cana-2251	9	9	.	.	PUNCT
cana-2251	10	1	through	through	ADP
cana-2251	10	2	repeated	repeat	VERB
cana-2251	10	3	refinement	refinement	NOUN
cana-2251	10	4	of	of	ADP
cana-2251	10	5	echann	echann	NOUN
cana-2251	10	6	designs	design	NOUN
cana-2251	10	7	,	,	PUNCT
cana-2251	10	8	the	the	DET
cana-2251	10	9	ec	ec	PROPN
cana-2251	10	10	module	module	NOUN
cana-2251	10	11	uses	use	VERB
cana-2251	10	12	particle	particle	NOUN
cana-2251	10	13	swarm	swarm	NOUN
cana-2251	10	14	optimization	optimization	NOUN
cana-2251	10	15	(	(	PUNCT
cana-2251	10	16	pso	pso	NOUN
cana-2251	10	17	)	)	PUNCT
cana-2251	10	18	to	to	PART
cana-2251	10	19	choose	choose	VERB
cana-2251	10	20	the	the	DET
cana-2251	10	21	best	good	ADJ
cana-2251	10	22	configuration	configuration	NOUN
cana-2251	10	23	for	for	ADP
cana-2251	10	24	individual	individual	ADJ
cana-2251	10	25	drug	drug	NOUN
cana-2251	10	26	discovery	discovery	NOUN
cana-2251	10	27	tasks	task	NOUN
cana-2251	10	28	.	.	PUNCT
cana-2251	11	1	the	the	DET
cana-2251	11	2	model	model	NOUN
cana-2251	11	3	's	's	PART
cana-2251	11	4	distinctive	distinctive	ADJ
cana-2251	11	5	feature	feature	NOUN
cana-2251	11	6	is	be	AUX
cana-2251	11	7	that	that	SCONJ
cana-2251	11	8	it	it	PRON
cana-2251	11	9	dynamically	dynamically	ADV
cana-2251	11	10	adjusts	adjust	VERB
cana-2251	11	11	the	the	DET
cana-2251	11	12	network	network	NOUN
cana-2251	11	13	configuration	configuration	NOUN
cana-2251	11	14	to	to	PART
cana-2251	11	15	match	match	VERB
cana-2251	11	16	the	the	DET
cana-2251	11	17	details	detail	NOUN
cana-2251	11	18	of	of	ADP
cana-2251	11	19	each	each	DET
cana-2251	11	20	drug	drug	NOUN
cana-2251	11	21	discovery	discovery	NOUN
cana-2251	11	22	activity	activity	NOUN
cana-2251	11	23	by	by	ADP
cana-2251	11	24	using	use	VERB
cana-2251	11	25	pso	pso	NOUN
cana-2251	11	26	to	to	PART
cana-2251	11	27	optimize	optimize	VERB
cana-2251	11	28	the	the	DET
cana-2251	11	29	hann	hann	NOUN
cana-2251	11	30	's	's	PART
cana-2251	11	31	architecture	architecture	NOUN
cana-2251	11	32	and	and	CCONJ
cana-2251	11	33	hyperparameters	hyperparameter	NOUN
cana-2251	11	34	.	.	PUNCT
cana-2251	12	1	regarding	regard	VERB
cana-2251	12	2	sequential	sequential	ADJ
cana-2251	12	3	biological	biological	ADJ
cana-2251	12	4	data	datum	NOUN
cana-2251	12	5	,	,	PUNCT
cana-2251	12	6	the	the	DET
cana-2251	12	7	hann	hann	PROPN
cana-2251	12	8	module	module	NOUN
cana-2251	12	9	employs	employ	VERB
cana-2251	12	10	convolutional	convolutional	ADJ
cana-2251	12	11	neural	neural	ADJ
cana-2251	12	12	networks	network	NOUN
cana-2251	12	13	(	(	PUNCT
cana-2251	12	14	cnns	cnns	PROPN
cana-2251	12	15	)	)	PUNCT
cana-2251	12	16	to	to	PART
cana-2251	12	17	glean	glean	VERB
cana-2251	12	18	features	feature	NOUN
cana-2251	12	19	for	for	ADP
cana-2251	12	20	pattern	pattern	NOUN
cana-2251	12	21	recognition	recognition	NOUN
cana-2251	12	22	over	over	ADP
cana-2251	12	23	time	time	NOUN
cana-2251	12	24	.	.	PUNCT
cana-2251	13	1	by	by	ADP
cana-2251	13	2	extracting	extract	VERB
cana-2251	13	3	highlevel	highlevel	ADJ
cana-2251	13	4	spatial	spatial	ADJ
cana-2251	13	5	information	information	NOUN
cana-2251	13	6	from	from	ADP
cana-2251	13	7	genetic	genetic	ADJ
cana-2251	13	8	data	datum	NOUN
cana-2251	13	9	,	,	PUNCT
cana-2251	13	10	cnn	cnn	PROPN
cana-2251	13	11	can	can	AUX
cana-2251	13	12	better	well	ADV
cana-2251	13	13	identify	identify	VERB
cana-2251	13	14	prospective	prospective	ADJ
cana-2251	13	15	medication	medication	NOUN
cana-2251	13	16	candidates	candidate	NOUN
cana-2251	13	17	.	.	PUNCT
cana-2251	14	1	when	when	SCONJ
cana-2251	14	2	tested	test	VERB
cana-2251	14	3	on	on	ADP
cana-2251	14	4	several	several	ADJ
cana-2251	14	5	benchmark	benchmark	ADJ
cana-2251	14	6	datasets	dataset	NOUN
cana-2251	14	7	,	,	PUNCT
cana-2251	14	8	the	the	DET
cana-2251	14	9	proposed	propose	VERB
cana-2251	14	10	framework	framework	NOUN
cana-2251	14	11	demonstrates	demonstrate	VERB
cana-2251	14	12	superior	superior	ADJ
cana-2251	14	13	performance	performance	NOUN
cana-2251	14	14	over	over	ADP
cana-2251	14	15	traditional	traditional	ADJ
cana-2251	14	16	neural	neural	ADJ
cana-2251	14	17	networks	network	NOUN
cana-2251	14	18	across	across	ADP
cana-2251	14	19	the	the	DET
cana-2251	14	20	board	board	NOUN
cana-2251	14	21	regarding	regard	VERB
cana-2251	14	22	prediction	prediction	NOUN
cana-2251	14	23	accuracy	accuracy	NOUN
cana-2251	14	24	,	,	PUNCT
cana-2251	14	25	convergence	convergence	NOUN
cana-2251	14	26	speed	speed	NOUN
cana-2251	14	27	,	,	PUNCT
cana-2251	14	28	and	and	CCONJ
cana-2251	14	29	model	model	NOUN
cana-2251	14	30	durability	durability	NOUN
cana-2251	14	31	.	.	PUNCT
cana-2251	15	1	as	as	ADP
cana-2251	15	2	a	a	DET
cana-2251	15	3	powerful	powerful	ADJ
cana-2251	15	4	tool	tool	NOUN
cana-2251	15	5	,	,	PUNCT
cana-2251	15	6	this	this	DET
cana-2251	15	7	hybrid	hybrid	ADJ
cana-2251	15	8	approach	approach	NOUN
cana-2251	15	9	can	can	AUX
cana-2251	15	10	simplify	simplify	VERB
cana-2251	15	11	drug	drug	NOUN
cana-2251	15	12	discovery	discovery	NOUN
cana-2251	15	13	,	,	PUNCT
cana-2251	15	14	leading	lead	VERB
cana-2251	15	15	to	to	ADP
cana-2251	15	16	more	more	ADV
cana-2251	15	17	efficient	efficient	ADJ
cana-2251	15	18	drug	drug	NOUN
cana-2251	15	19	development	development	NOUN
cana-2251	15	20	.	.	PUNCT
cana-2251	16	1	keywords	keyword	NOUN
cana-2251	16	2	:	:	PUNCT
cana-2251	16	3	drug	drug	NOUN
cana-2251	16	4	discovery	discovery	NOUN
cana-2251	16	5	,	,	PUNCT
cana-2251	16	6	evolutionary	evolutionary	ADJ
cana-2251	16	7	computing	computing	NOUN
cana-2251	16	8	,	,	PUNCT
cana-2251	16	9	hybrid	hybrid	ADJ
cana-2251	16	10	artificial	artificial	ADJ
cana-2251	16	11	neural	neural	ADJ
cana-2251	16	12	networks	network	NOUN
cana-2251	16	13	,	,	PUNCT
cana-2251	16	14	particle	particle	NOUN
cana-2251	16	15	swarm	swarm	NOUN
cana-2251	16	16	optimization	optimization	NOUN
cana-2251	16	17	,	,	PUNCT
cana-2251	16	18	convolutional	convolutional	ADJ
cana-2251	16	19	neural	neural	ADJ
cana-2251	16	20	networks	network	NOUN
cana-2251	16	21	.	.	PUNCT
cana-2251	17	1	1	1	X
cana-2251	17	2	.	.	X
cana-2251	17	3	introduction	introduction	NOUN
cana-2251	17	4	in	in	ADP
cana-2251	17	5	drug	drug	NOUN
cana-2251	17	6	development	development	NOUN
cana-2251	17	7	,	,	PUNCT
cana-2251	17	8	the	the	DET
cana-2251	17	9	goal	goal	NOUN
cana-2251	17	10	is	be	AUX
cana-2251	17	11	to	to	PART
cana-2251	17	12	find	find	VERB
cana-2251	17	13	novel	novel	ADJ
cana-2251	17	14	pharmaceutical	pharmaceutical	NOUN
cana-2251	17	15	compounds	compound	NOUN
cana-2251	17	16	that	that	PRON
cana-2251	17	17	can	can	AUX
cana-2251	17	18	prevent	prevent	VERB
cana-2251	17	19	or	or	CCONJ
cana-2251	17	20	treat	treat	VERB
cana-2251	17	21	disease	disease	NOUN
cana-2251	17	22	.	.	PUNCT
cana-2251	18	1	this	this	DET
cana-2251	18	2	approach	approach	NOUN
cana-2251	18	3	requires	require	VERB
cana-2251	18	4	learning	learn	VERB
cana-2251	18	5	how	how	SCONJ
cana-2251	18	6	illnesses	illness	NOUN
cana-2251	18	7	work	work	VERB
cana-2251	18	8	,	,	PUNCT
cana-2251	18	9	finding	find	VERB
cana-2251	18	10	new	new	ADJ
cana-2251	18	11	drug	drug	NOUN
cana-2251	18	12	targets	target	NOUN
cana-2251	18	13	,	,	PUNCT
cana-2251	18	14	and	and	CCONJ
cana-2251	18	15	designing	design	VERB
cana-2251	18	16	compounds	compound	NOUN
cana-2251	18	17	that	that	PRON
cana-2251	18	18	can	can	AUX
cana-2251	18	19	attach	attach	VERB
cana-2251	18	20	to	to	ADP
cana-2251	18	21	them	they	PRON
cana-2251	18	22	.	.	PUNCT
cana-2251	19	1	the	the	DET
cana-2251	19	2	routine	routine	ADJ
cana-2251	19	3	stages	stage	NOUN
cana-2251	19	4	are	be	AUX
cana-2251	19	5	selecting	select	VERB
cana-2251	19	6	the	the	DET
cana-2251	19	7	target	target	NOUN
cana-2251	19	8	,	,	PUNCT
cana-2251	19	9	evaluating	evaluate	VERB
cana-2251	19	10	drugs	drug	NOUN
cana-2251	19	11	,	,	PUNCT
cana-2251	19	12	optimizing	optimize	VERB
cana-2251	19	13	lead	lead	NOUN
cana-2251	19	14	molecules	molecule	NOUN
cana-2251	19	15	,	,	PUNCT
cana-2251	19	16	and	and	CCONJ
cana-2251	19	17	conducting	conduct	VERB
cana-2251	19	18	preclinical	preclinical	ADJ
cana-2251	19	19	trials	trial	NOUN
cana-2251	19	20	.	.	PUNCT
cana-2251	20	1	experimental	experimental	ADJ
cana-2251	20	2	and	and	CCONJ
cana-2251	20	3	computational	computational	ADJ
cana-2251	20	4	methods	method	NOUN
cana-2251	20	5	can	can	AUX
cana-2251	20	6	evaluate	evaluate	VERB
cana-2251	20	7	large	large	ADJ
cana-2251	20	8	datasets	dataset	NOUN
cana-2251	20	9	and	and	CCONJ
cana-2251	20	10	predict	predict	VERB
cana-2251	20	11	drug	drug	NOUN
cana-2251	20	12	efficacy	efficacy	NOUN
cana-2251	20	13	and	and	CCONJ
cana-2251	20	14	safety	safety	NOUN
cana-2251	20	15	.	.	PUNCT
cana-2251	21	1	drug	drug	NOUN
cana-2251	21	2	development	development	NOUN
cana-2251	21	3	's	's	PART
cana-2251	21	4	ultimate	ultimate	ADJ
cana-2251	21	5	goal	goal	NOUN
cana-2251	21	6	is	be	AUX
cana-2251	21	7	to	to	PART
cana-2251	21	8	find	find	VERB
cana-2251	21	9	safe	safe	ADJ
cana-2251	21	10	and	and	CCONJ
cana-2251	21	11	effective	effective	ADJ
cana-2251	21	12	ways	way	NOUN
cana-2251	21	13	to	to	PART
cana-2251	21	14	treat	treat	VERB
cana-2251	21	15	untreated	untreated	ADJ
cana-2251	21	16	medical	medical	ADJ
cana-2251	21	17	conditions	condition	NOUN
cana-2251	21	18	[	[	X
cana-2251	21	19	10	10	NUM
cana-2251	21	20	,	,	PUNCT
cana-2251	21	21	14	14	NUM
cana-2251	21	22	]	]	PUNCT
cana-2251	21	23	.	.	PUNCT
cana-2251	22	1	recognizing	recognize	VERB
cana-2251	22	2	drug	drug	NOUN
cana-2251	22	3	targets	target	NOUN
cana-2251	22	4	,	,	PUNCT
cana-2251	22	5	authenticating	authenticate	VERB
cana-2251	22	6	targets	target	NOUN
cana-2251	22	7	,	,	PUNCT
cana-2251	22	8	hit	hit	NOUN
cana-2251	22	9	-	-	PUNCT
cana-2251	22	10	to	to	ADP
cana-2251	22	11	-	-	PUNCT
cana-2251	22	12	lead	lead	NOUN
cana-2251	22	13	fructification	fructification	NOUN
cana-2251	22	14	,	,	PUNCT
cana-2251	22	15	lead	lead	VERB
cana-2251	22	16	refining	refining	NOUN
cana-2251	22	17	,	,	PUNCT
cana-2251	22	18	preclinical	preclinical	ADJ
cana-2251	22	19	molecule	molecule	NOUN
cana-2251	22	20	commitment	commitment	NOUN
cana-2251	22	21	,	,	PUNCT
cana-2251	22	22	experimental	experimental	ADJ
cana-2251	22	23	evaluation	evaluation	NOUN
cana-2251	22	24	,	,	PUNCT
cana-2251	22	25	clinical	clinical	ADJ
cana-2251	22	26	testing	testing	NOUN
cana-2251	22	27	,	,	PUNCT
cana-2251	22	28	and	and	CCONJ
cana-2251	22	29	so	so	ADV
cana-2251	22	30	on	on	ADV
cana-2251	22	31	are	be	AUX
cana-2251	22	32	all	all	ADV
cana-2251	22	33	steps	step	NOUN
cana-2251	22	34	in	in	ADP
cana-2251	22	35	the	the	DET
cana-2251	22	36	drug	drug	NOUN
cana-2251	22	37	development	development	NOUN
cana-2251	22	38	process	process	NOUN
cana-2251	22	39	.	.	PUNCT
cana-2251	23	1	the	the	DET
cana-2251	23	2	most	most	ADV
cana-2251	23	3	innovative	innovative	ADJ
cana-2251	23	4	way	way	NOUN
cana-2251	23	5	to	to	PART
cana-2251	23	6	change	change	VERB
cana-2251	23	7	this	this	DET
cana-2251	23	8	hopeless	hopeless	ADJ
cana-2251	23	9	situation	situation	NOUN
cana-2251	23	10	,	,	PUNCT
cana-2251	23	11	dependent	dependent	ADJ
cana-2251	23	12	on	on	ADP
cana-2251	23	13	communications	communication	NOUN
cana-2251	23	14	on	on	ADP
cana-2251	23	15	applied	apply	VERB
cana-2251	23	16	nonlinear	nonlinear	ADJ
cana-2251	23	17	analysis	analysis	NOUN
cana-2251	23	18	issn	issn	NOUN
cana-2251	23	19	:	:	PUNCT
cana-2251	23	20	1074	1074	NUM
cana-2251	23	21	-	-	PUNCT
cana-2251	23	22	133x	133x	NUM
cana-2251	23	23	vol	vol	NOUN
cana-2251	23	24	32	32	NUM
cana-2251	23	25	no	no	NOUN
cana-2251	23	26	.	.	PUNCT
cana-2251	24	1	2s	2s	NUM
cana-2251	24	2	(	(	PUNCT
cana-2251	24	3	2025	2025	NUM
cana-2251	24	4	)	)	PUNCT
cana-2251	24	5	65	65	NUM
cana-2251	25	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-2251	25	2	careful	careful	ADJ
cana-2251	25	3	navigation	navigation	NOUN
cana-2251	25	4	during	during	ADP
cana-2251	25	5	growth	growth	NOUN
cana-2251	25	6	,	,	PUNCT
cana-2251	25	7	is	be	AUX
cana-2251	25	8	the	the	DET
cana-2251	25	9	advancement	advancement	NOUN
cana-2251	25	10	of	of	ADP
cana-2251	25	11	computer	computer	NOUN
cana-2251	25	12	-	-	PUNCT
cana-2251	25	13	enabled	enable	VERB
cana-2251	25	14	drug	drug	NOUN
cana-2251	25	15	design	design	NOUN
cana-2251	25	16	technology	technology	NOUN
cana-2251	25	17	.	.	PUNCT
cana-2251	26	1	computerized	computerized	ADJ
cana-2251	26	2	assistance	assistance	NOUN
cana-2251	26	3	drug	drug	NOUN
cana-2251	26	4	design	design	NOUN
cana-2251	26	5	is	be	AUX
cana-2251	26	6	the	the	DET
cana-2251	26	7	definitive	definitive	ADJ
cana-2251	26	8	resource	resource	NOUN
cana-2251	26	9	for	for	ADP
cana-2251	26	10	drug	drug	NOUN
cana-2251	26	11	discovery	discovery	NOUN
cana-2251	26	12	methods	method	NOUN
cana-2251	26	13	and	and	CCONJ
cana-2251	26	14	related	relate	VERB
cana-2251	26	15	computer	computer	NOUN
cana-2251	26	16	-	-	PUNCT
cana-2251	26	17	enabled	enable	VERB
cana-2251	26	18	drug	drug	NOUN
cana-2251	26	19	design	design	NOUN
cana-2251	26	20	approaches	approach	NOUN
cana-2251	26	21	.	.	PUNCT
cana-2251	27	1	to	to	PART
cana-2251	27	2	generate	generate	VERB
cana-2251	27	3	optimized	optimize	VERB
cana-2251	27	4	molecules	molecule	NOUN
cana-2251	27	5	with	with	ADP
cana-2251	27	6	desirable	desirable	ADJ
cana-2251	27	7	in	in	ADP
cana-2251	27	8	silica	silica	NOUN
cana-2251	27	9	properties	property	NOUN
cana-2251	27	10	,	,	PUNCT
cana-2251	27	11	computational	computational	ADJ
cana-2251	27	12	methods	method	NOUN
cana-2251	27	13	provide	provide	VERB
cana-2251	27	14	a	a	DET
cana-2251	27	15	systematic	systematic	ADJ
cana-2251	27	16	evaluation	evaluation	NOUN
cana-2251	27	17	of	of	ADP
cana-2251	27	18	the	the	DET
cana-2251	27	19	molecular	molecular	ADJ
cana-2251	27	20	attributes	attribute	NOUN
cana-2251	27	21	(	(	PUNCT
cana-2251	27	22	including	include	VERB
cana-2251	27	23	selectivity	selectivity	NOUN
cana-2251	27	24	,	,	PUNCT
cana-2251	27	25	bioactivity	bioactivity	NOUN
cana-2251	27	26	,	,	PUNCT
cana-2251	27	27	pharmacokinetic	pharmacokinetic	ADJ
cana-2251	27	28	parameters	parameter	NOUN
cana-2251	27	29	,	,	PUNCT
cana-2251	27	30	side	side	NOUN
cana-2251	27	31	effects	effect	NOUN
cana-2251	27	32	,	,	PUNCT
cana-2251	27	33	and	and	CCONJ
cana-2251	27	34	physicochemical	physicochemical	ADJ
cana-2251	27	35	properties	property	NOUN
cana-2251	27	36	)	)	PUNCT
cana-2251	27	37	at	at	ADP
cana-2251	27	38	the	the	DET
cana-2251	27	39	hypothetical	hypothetical	ADJ
cana-2251	27	40	level	level	NOUN
cana-2251	27	41	[	[	X
cana-2251	27	42	5	5	NUM
cana-2251	27	43	]	]	PUNCT
cana-2251	27	44	.	.	PUNCT
cana-2251	28	1	it	it	PRON
cana-2251	28	2	is	be	AUX
cana-2251	28	3	also	also	ADV
cana-2251	28	4	possible	possible	ADJ
cana-2251	28	5	to	to	PART
cana-2251	28	6	lower	lower	VERB
cana-2251	28	7	the	the	DET
cana-2251	28	8	failure	failure	NOUN
cana-2251	28	9	rate	rate	NOUN
cana-2251	28	10	of	of	ADP
cana-2251	28	11	the	the	DET
cana-2251	28	12	preclinical	preclinical	ADJ
cana-2251	28	13	lead	lead	NOUN
cana-2251	28	14	compounds	compound	NOUN
cana-2251	28	15	by	by	ADP
cana-2251	28	16	using	use	VERB
cana-2251	28	17	computational	computational	ADJ
cana-2251	28	18	methods	method	NOUN
cana-2251	28	19	with	with	ADP
cana-2251	28	20	multi	multi	ADJ
cana-2251	28	21	-	-	ADJ
cana-2251	28	22	objective	objective	ADJ
cana-2251	28	23	refinement	refinement	NOUN
cana-2251	28	24	.	.	PUNCT
cana-2251	29	1	by	by	ADP
cana-2251	29	2	integrating	integrate	VERB
cana-2251	29	3	the	the	DET
cana-2251	29	4	latest	late	ADJ
cana-2251	29	5	developments	development	NOUN
cana-2251	29	6	in	in	ADP
cana-2251	29	7	machine	machine	NOUN
cana-2251	29	8	learning	learning	NOUN
cana-2251	29	9	(	(	PUNCT
cana-2251	29	10	ml	ml	NOUN
cana-2251	29	11	)	)	PUNCT
cana-2251	29	12	in	in	ADP
cana-2251	29	13	a	a	DET
cana-2251	29	14	coherent	coherent	ADJ
cana-2251	29	15	and	and	CCONJ
cana-2251	29	16	automated	automate	VERB
cana-2251	29	17	fashion	fashion	NOUN
cana-2251	29	18	,	,	PUNCT
cana-2251	29	19	artificial	artificial	ADJ
cana-2251	29	20	intelligence	intelligence	NOUN
cana-2251	29	21	(	(	PUNCT
cana-2251	29	22	ai	ai	AUX
cana-2251	29	23	)	)	PUNCT
cana-2251	29	24	opens	open	VERB
cana-2251	29	25	up	up	ADP
cana-2251	29	26	new	new	ADJ
cana-2251	29	27	possibilities	possibility	NOUN
cana-2251	29	28	for	for	ADP
cana-2251	29	29	drug	drug	NOUN
cana-2251	29	30	creation	creation	NOUN
cana-2251	29	31	by	by	ADP
cana-2251	29	32	facilitating	facilitate	VERB
cana-2251	29	33	software	software	NOUN
cana-2251	29	34	programs	program	NOUN
cana-2251	29	35	that	that	PRON
cana-2251	29	36	analyze	analyze	VERB
cana-2251	29	37	,	,	PUNCT
cana-2251	29	38	learn	learn	VERB
cana-2251	29	39	,	,	PUNCT
cana-2251	29	40	and	and	CCONJ
cana-2251	29	41	disclose	disclose	VERB
cana-2251	29	42	enormous	enormous	ADJ
cana-2251	29	43	data	datum	NOUN
cana-2251	29	44	related	relate	VERB
cana-2251	29	45	to	to	ADP
cana-2251	29	46	pharmaceuticals	pharmaceutical	NOUN
cana-2251	29	47	to	to	PART
cana-2251	29	48	discover	discover	VERB
cana-2251	29	49	novel	novel	ADJ
cana-2251	29	50	medicinal	medicinal	ADJ
cana-2251	29	51	compounds	compound	NOUN
cana-2251	29	52	[	[	X
cana-2251	29	53	1	1	NUM
cana-2251	29	54	,	,	PUNCT
cana-2251	29	55	4	4	NUM
cana-2251	29	56	,	,	PUNCT
cana-2251	29	57	8	8	NUM
cana-2251	29	58	]	]	PUNCT
cana-2251	29	59	.	.	PUNCT
cana-2251	30	1	the	the	DET
cana-2251	30	2	development	development	NOUN
cana-2251	30	3	of	of	ADP
cana-2251	30	4	chemical	chemical	ADJ
cana-2251	30	5	and	and	CCONJ
cana-2251	30	6	pharmacological	pharmacological	ADJ
cana-2251	30	7	knowledge	knowledge	NOUN
cana-2251	30	8	and	and	CCONJ
cana-2251	30	9	improvements	improvement	NOUN
cana-2251	30	10	in	in	ADP
cana-2251	30	11	ml	ml	ADP
cana-2251	30	12	techniques	technique	NOUN
cana-2251	30	13	have	have	AUX
cana-2251	30	14	allowed	allow	VERB
cana-2251	30	15	ai	ai	AUX
cana-2251	30	16	paradigms	paradigm	NOUN
cana-2251	30	17	to	to	PART
cana-2251	30	18	carve	carve	VERB
cana-2251	30	19	out	out	ADP
cana-2251	30	20	a	a	DET
cana-2251	30	21	space	space	NOUN
cana-2251	30	22	for	for	ADP
cana-2251	30	23	data	data	NOUN
cana-2251	30	24	-	-	PUNCT
cana-2251	30	25	driven	drive	VERB
cana-2251	30	26	computational	computational	ADJ
cana-2251	30	27	processes	process	NOUN
cana-2251	30	28	in	in	ADP
cana-2251	30	29	drug	drug	NOUN
cana-2251	30	30	design	design	NOUN
cana-2251	30	31	.	.	PUNCT
cana-2251	31	1	as	as	ADP
cana-2251	31	2	a	a	DET
cana-2251	31	3	branch	branch	NOUN
cana-2251	31	4	of	of	ADP
cana-2251	31	5	artificial	artificial	ADJ
cana-2251	31	6	intelligence	intelligence	NOUN
cana-2251	31	7	,	,	PUNCT
cana-2251	31	8	mlfacilitated	mlfacilitate	VERB
cana-2251	31	9	approaches	approach	NOUN
cana-2251	31	10	focus	focus	VERB
cana-2251	31	11	more	more	ADV
cana-2251	31	12	on	on	ADP
cana-2251	31	13	transforming	transform	VERB
cana-2251	31	14	massive	massive	ADJ
cana-2251	31	15	biomedical	biomedical	ADJ
cana-2251	31	16	big	big	ADJ
cana-2251	31	17	data	datum	NOUN
cana-2251	31	18	into	into	ADP
cana-2251	31	19	new	new	ADJ
cana-2251	31	20	insights	insight	NOUN
cana-2251	31	21	and	and	CCONJ
cana-2251	31	22	sustainable	sustainable	ADJ
cana-2251	31	23	expertise	expertise	NOUN
cana-2251	31	24	than	than	ADP
cana-2251	31	25	on	on	ADP
cana-2251	31	26	the	the	DET
cana-2251	31	27	theoretical	theoretical	ADJ
cana-2251	31	28	advancement	advancement	NOUN
cana-2251	31	29	of	of	ADP
cana-2251	31	30	complicated	complicated	ADJ
cana-2251	31	31	and	and	CCONJ
cana-2251	31	32	established	establish	VERB
cana-2251	31	33	physicchemical	physicchemical	ADJ
cana-2251	31	34	principles	principle	NOUN
cana-2251	31	35	[	[	X
cana-2251	31	36	16	16	NUM
cana-2251	31	37	]	]	PUNCT
cana-2251	31	38	.	.	PUNCT
cana-2251	32	1	artificial	artificial	ADJ
cana-2251	32	2	intelligence	intelligence	NOUN
cana-2251	32	3	(	(	PUNCT
cana-2251	32	4	ai	ai	NOUN
cana-2251	32	5	)	)	PUNCT
cana-2251	32	6	systems	system	NOUN
cana-2251	32	7	,	,	PUNCT
cana-2251	32	8	especially	especially	ADV
cana-2251	32	9	deep	deep	ADJ
cana-2251	32	10	learning	learning	NOUN
cana-2251	32	11	(	(	PUNCT
cana-2251	32	12	dl	dl	INTJ
cana-2251	32	13	)	)	PUNCT
cana-2251	32	14	paradigms	paradigm	NOUN
cana-2251	32	15	,	,	PUNCT
cana-2251	32	16	show	show	VERB
cana-2251	32	17	great	great	ADJ
cana-2251	32	18	potential	potential	NOUN
cana-2251	32	19	in	in	ADP
cana-2251	32	20	drug	drug	NOUN
cana-2251	32	21	design	design	NOUN
cana-2251	32	22	due	due	ADP
cana-2251	32	23	to	to	ADP
cana-2251	32	24	their	their	PRON
cana-2251	32	25	remarkable	remarkable	ADJ
cana-2251	32	26	ability	ability	NOUN
cana-2251	32	27	to	to	PART
cana-2251	32	28	generalize	generalize	VERB
cana-2251	32	29	and	and	CCONJ
cana-2251	32	30	extract	extract	VERB
cana-2251	32	31	features	feature	VERB
cana-2251	32	32	[	[	X
cana-2251	32	33	7	7	NUM
cana-2251	32	34	]	]	PUNCT
cana-2251	32	35	.	.	PUNCT
cana-2251	33	1	while	while	SCONJ
cana-2251	33	2	traditional	traditional	ADJ
cana-2251	33	3	ml	ml	NOUN
cana-2251	33	4	methods	method	NOUN
cana-2251	33	5	rely	rely	VERB
cana-2251	33	6	on	on	ADP
cana-2251	33	7	hand	hand	NOUN
cana-2251	33	8	-	-	PUNCT
cana-2251	33	9	crafted	craft	VERB
cana-2251	33	10	attributes	attribute	NOUN
cana-2251	33	11	,	,	PUNCT
cana-2251	33	12	dl	dl	PROPN
cana-2251	33	13	methods	method	NOUN
cana-2251	33	14	can	can	AUX
cana-2251	33	15	automatically	automatically	ADV
cana-2251	33	16	learn	learn	VERB
cana-2251	33	17	features	feature	NOUN
cana-2251	33	18	from	from	ADP
cana-2251	33	19	input	input	NOUN
cana-2251	33	20	data	datum	NOUN
cana-2251	33	21	,	,	PUNCT
cana-2251	33	22	reorganizing	reorganize	VERB
cana-2251	33	23	simple	simple	ADJ
cana-2251	33	24	attributes	attribute	NOUN
cana-2251	33	25	into	into	ADP
cana-2251	33	26	complex	complex	ADJ
cana-2251	33	27	characteristics	characteristic	NOUN
cana-2251	33	28	through	through	ADP
cana-2251	33	29	multi	multi	ADJ
cana-2251	33	30	-	-	ADJ
cana-2251	33	31	layer	layer	ADJ
cana-2251	33	32	attribute	attribute	NOUN
cana-2251	33	33	extraction	extraction	NOUN
cana-2251	33	34	[	[	X
cana-2251	33	35	2	2	NUM
cana-2251	33	36	]	]	PUNCT
cana-2251	33	37	.	.	PUNCT
cana-2251	34	1	the	the	DET
cana-2251	34	2	dl	dl	PROPN
cana-2251	34	3	paradigms	paradigms	PROPN
cana-2251	34	4	often	often	ADV
cana-2251	34	5	include	include	VERB
cana-2251	34	6	auto	auto	NOUN
cana-2251	34	7	encoders	encoder	NOUN
cana-2251	34	8	,	,	PUNCT
cana-2251	34	9	restricted	restrict	VERB
cana-2251	34	10	boltzmann	boltzmann	PROPN
cana-2251	34	11	machines	machine	NOUN
cana-2251	34	12	,	,	PUNCT
cana-2251	34	13	dnn	dnn	PROPN
cana-2251	34	14	,	,	PUNCT
cana-2251	34	15	cnn	cnn	PROPN
cana-2251	34	16	,	,	PUNCT
cana-2251	34	17	and	and	CCONJ
cana-2251	34	18	rnn	rnn	PROPN
cana-2251	34	19	.	.	PUNCT
cana-2251	35	1	this	this	DET
cana-2251	35	2	study	study	NOUN
cana-2251	35	3	introduces	introduce	VERB
cana-2251	35	4	the	the	DET
cana-2251	35	5	reader	reader	NOUN
cana-2251	35	6	to	to	ADP
cana-2251	35	7	ec	ec	PROPN
cana-2251	35	8	models	model	NOUN
cana-2251	35	9	in	in	ADP
cana-2251	35	10	drug	drug	NOUN
cana-2251	35	11	design	design	NOUN
cana-2251	35	12	[	[	X
cana-2251	35	13	6	6	NUM
cana-2251	35	14	]	]	PUNCT
cana-2251	35	15	.	.	PUNCT
cana-2251	36	1	it	it	PRON
cana-2251	36	2	focuses	focus	VERB
cana-2251	36	3	on	on	ADP
cana-2251	36	4	how	how	SCONJ
cana-2251	36	5	dl	dl	PROPN
cana-2251	36	6	algorithms	algorithm	NOUN
cana-2251	36	7	with	with	ADP
cana-2251	36	8	optimization	optimization	NOUN
cana-2251	36	9	techniques	technique	NOUN
cana-2251	36	10	like	like	ADP
cana-2251	36	11	pso	pso	NOUN
cana-2251	36	12	are	be	AUX
cana-2251	36	13	used	use	VERB
cana-2251	36	14	to	to	PART
cana-2251	36	15	discover	discover	VERB
cana-2251	36	16	and	and	CCONJ
cana-2251	36	17	develop	develop	VERB
cana-2251	36	18	new	new	ADJ
cana-2251	36	19	drugs	drug	NOUN
cana-2251	36	20	[	[	X
cana-2251	36	21	21	21	NUM
cana-2251	36	22	]	]	PUNCT
cana-2251	36	23	.	.	PUNCT
cana-2251	37	1	the	the	DET
cana-2251	37	2	main	main	ADJ
cana-2251	37	3	contributions	contribution	NOUN
cana-2251	37	4	of	of	ADP
cana-2251	37	5	the	the	DET
cana-2251	37	6	article	article	NOUN
cana-2251	37	7	include	include	VERB
cana-2251	37	8	:	:	PUNCT
cana-2251	37	9	1	1	X
cana-2251	37	10	.	.	X
cana-2251	38	1	this	this	DET
cana-2251	38	2	study	study	NOUN
cana-2251	38	3	utilizes	utilize	VERB
cana-2251	38	4	evolutionary	evolutionary	ADJ
cana-2251	38	5	computing	computing	NOUN
cana-2251	38	6	and	and	CCONJ
cana-2251	38	7	hybrid	hybrid	ADJ
cana-2251	38	8	artificial	artificial	ADJ
cana-2251	38	9	neural	neural	ADJ
cana-2251	38	10	networks	network	NOUN
cana-2251	38	11	(	(	PUNCT
cana-2251	38	12	echanns	echann	NOUN
cana-2251	38	13	)	)	PUNCT
cana-2251	38	14	to	to	PART
cana-2251	38	15	optimize	optimize	VERB
cana-2251	38	16	and	and	CCONJ
cana-2251	38	17	accelerate	accelerate	VERB
cana-2251	38	18	drug	drug	NOUN
cana-2251	38	19	development	development	NOUN
cana-2251	38	20	.	.	PUNCT
cana-2251	39	1	2	2	X
cana-2251	39	2	.	.	X
cana-2251	39	3	the	the	DET
cana-2251	39	4	ec	ec	PROPN
cana-2251	39	5	module	module	NOUN
cana-2251	39	6	employs	employ	VERB
cana-2251	39	7	pso	pso	NOUN
cana-2251	39	8	to	to	PART
cana-2251	39	9	determine	determine	VERB
cana-2251	39	10	the	the	DET
cana-2251	39	11	ideal	ideal	ADJ
cana-2251	39	12	configuration	configuration	NOUN
cana-2251	39	13	for	for	ADP
cana-2251	39	14	drug	drug	NOUN
cana-2251	39	15	discovery	discovery	NOUN
cana-2251	39	16	tasks	task	NOUN
cana-2251	39	17	by	by	ADP
cana-2251	39	18	repeatedly	repeatedly	ADV
cana-2251	39	19	refining	refine	VERB
cana-2251	39	20	ec	ec	PROPN
cana-2251	39	21	-	-	PUNCT
cana-2251	39	22	hann	hann	PROPN
cana-2251	39	23	designs	design	NOUN
cana-2251	39	24	.	.	PUNCT
cana-2251	40	1	the	the	DET
cana-2251	40	2	model	model	NOUN
cana-2251	40	3	dynamically	dynamically	ADV
cana-2251	40	4	modifies	modify	VERB
cana-2251	40	5	the	the	DET
cana-2251	40	6	network	network	NOUN
cana-2251	40	7	configuration	configuration	NOUN
cana-2251	40	8	by	by	ADP
cana-2251	40	9	optimizing	optimize	VERB
cana-2251	40	10	the	the	DET
cana-2251	40	11	hann	hann	NOUN
cana-2251	40	12	's	's	PART
cana-2251	40	13	architecture	architecture	NOUN
cana-2251	40	14	and	and	CCONJ
cana-2251	40	15	hyper	hyper	ADJ
cana-2251	40	16	parameters	parameter	NOUN
cana-2251	40	17	with	with	ADP
cana-2251	40	18	pso	pso	NOUN
cana-2251	40	19	to	to	PART
cana-2251	40	20	match	match	VERB
cana-2251	40	21	each	each	DET
cana-2251	40	22	drug	drug	NOUN
cana-2251	40	23	discovery	discovery	NOUN
cana-2251	40	24	activity	activity	NOUN
cana-2251	40	25	.	.	PUNCT
cana-2251	41	1	3	3	X
cana-2251	41	2	.	.	X
cana-2251	41	3	the	the	DET
cana-2251	41	4	hann	hann	PROPN
cana-2251	41	5	module	module	NOUN
cana-2251	41	6	uses	use	VERB
cana-2251	41	7	cnns	cnn	NOUN
cana-2251	41	8	to	to	PART
cana-2251	41	9	recognize	recognize	VERB
cana-2251	41	10	patterns	pattern	NOUN
cana-2251	41	11	in	in	ADP
cana-2251	41	12	sequential	sequential	ADJ
cana-2251	41	13	biological	biological	ADJ
cana-2251	41	14	data	datum	NOUN
cana-2251	41	15	.	.	PUNCT
cana-2251	42	1	cnn	cnn	PROPN
cana-2251	42	2	uses	use	VERB
cana-2251	42	3	high	high	ADJ
cana-2251	42	4	-	-	PUNCT
cana-2251	42	5	level	level	NOUN
cana-2251	42	6	spatial	spatial	ADJ
cana-2251	42	7	information	information	NOUN
cana-2251	42	8	from	from	ADP
cana-2251	42	9	genetic	genetic	ADJ
cana-2251	42	10	data	datum	NOUN
cana-2251	42	11	to	to	PART
cana-2251	42	12	identify	identify	VERB
cana-2251	42	13	drug	drug	NOUN
cana-2251	42	14	candidates	candidate	NOUN
cana-2251	42	15	.	.	PUNCT
cana-2251	43	1	4	4	X
cana-2251	43	2	.	.	X
cana-2251	43	3	the	the	DET
cana-2251	43	4	proposed	propose	VERB
cana-2251	43	5	framework	framework	NOUN
cana-2251	43	6	outperforms	outperform	VERB
cana-2251	43	7	standard	standard	ADJ
cana-2251	43	8	neural	neural	ADJ
cana-2251	43	9	networks	network	NOUN
cana-2251	43	10	in	in	ADP
cana-2251	43	11	prediction	prediction	NOUN
cana-2251	43	12	accuracy	accuracy	NOUN
cana-2251	43	13	,	,	PUNCT
cana-2251	43	14	convergence	convergence	NOUN
cana-2251	43	15	speed	speed	NOUN
cana-2251	43	16	,	,	PUNCT
cana-2251	43	17	and	and	CCONJ
cana-2251	43	18	model	model	NOUN
cana-2251	43	19	durability	durability	NOUN
cana-2251	43	20	on	on	ADP
cana-2251	43	21	numerous	numerous	ADJ
cana-2251	43	22	benchmark	benchmark	ADJ
cana-2251	43	23	datasets	dataset	NOUN
cana-2251	43	24	.	.	PUNCT
cana-2251	44	1	a	a	DET
cana-2251	44	2	helpful	helpful	ADJ
cana-2251	44	3	tool	tool	NOUN
cana-2251	44	4	,	,	PUNCT
cana-2251	44	5	this	this	DET
cana-2251	44	6	hybrid	hybrid	ADJ
cana-2251	44	7	strategy	strategy	NOUN
cana-2251	44	8	can	can	AUX
cana-2251	44	9	simplify	simplify	VERB
cana-2251	44	10	drug	drug	NOUN
cana-2251	44	11	discovery	discovery	NOUN
cana-2251	44	12	and	and	CCONJ
cana-2251	44	13	improve	improve	VERB
cana-2251	44	14	medication	medication	NOUN
cana-2251	44	15	development	development	NOUN
cana-2251	44	16	.	.	PUNCT
cana-2251	45	1	2	2	X
cana-2251	45	2	.	.	X
cana-2251	45	3	literature	literature	NOUN
cana-2251	45	4	survey	survey	PROPN
cana-2251	45	5	sagingalieva	sagingalieva	PROPN
cana-2251	45	6	et	et	PROPN
cana-2251	45	7	al	al	PROPN
cana-2251	45	8	.	.	PROPN
cana-2251	45	9	,	,	PUNCT
cana-2251	46	1	[	[	X
cana-2251	46	2	9	9	NUM
cana-2251	46	3	]	]	PUNCT
cana-2251	46	4	introduced	introduce	VERB
cana-2251	46	5	a	a	DET
cana-2251	46	6	hybrid	hybrid	ADJ
cana-2251	46	7	qnn(quantum	qnn(quantum	NOUN
cana-2251	46	8	neural	neural	ADJ
cana-2251	46	9	network	network	NOUN
cana-2251	46	10	)	)	PUNCT
cana-2251	46	11	for	for	ADP
cana-2251	46	12	medication	medication	NOUN
cana-2251	46	13	response	response	NOUN
cana-2251	46	14	prediction	prediction	NOUN
cana-2251	46	15	.	.	PUNCT
cana-2251	47	1	it	it	PRON
cana-2251	47	2	uses	use	VERB
cana-2251	47	3	8	8	NUM
cana-2251	47	4	qubits	qubit	NOUN
cana-2251	47	5	of	of	ADP
cana-2251	47	6	deep	deep	ADJ
cana-2251	47	7	qnn	qnn	NOUN
cana-2251	47	8	and	and	CCONJ
cana-2251	47	9	363	363	NUM
cana-2251	47	10	convolutional	convolutional	ADJ
cana-2251	47	11	and	and	CCONJ
cana-2251	47	12	graph	graph	VERB
cana-2251	47	13	neural	neural	ADJ
cana-2251	47	14	layers	layer	NOUN
cana-2251	47	15	.	.	PUNCT
cana-2251	48	1	this	this	DET
cana-2251	48	2	research	research	NOUN
cana-2251	48	3	sought	seek	VERB
cana-2251	48	4	to	to	PART
cana-2251	48	5	increase	increase	VERB
cana-2251	48	6	drug	drug	NOUN
cana-2251	48	7	evaluation	evaluation	NOUN
cana-2251	48	8	accuracy	accuracy	NOUN
cana-2251	48	9	.	.	PUNCT
cana-2251	49	1	with	with	ADP
cana-2251	49	2	the	the	DET
cana-2251	49	3	decreased	decrease	VERB
cana-2251	49	4	genomics	genomic	NOUN
cana-2251	49	5	of	of	ADP
cana-2251	49	6	drug	drug	NOUN
cana-2251	49	7	sensitivity	sensitivity	NOUN
cana-2251	49	8	in	in	ADP
cana-2251	49	9	cancer	cancer	NOUN
cana-2251	49	10	dataset	dataset	NOUN
cana-2251	49	11	,	,	PUNCT
cana-2251	49	12	we	we	PRON
cana-2251	49	13	can	can	AUX
cana-2251	49	14	show	show	VERB
cana-2251	49	15	that	that	SCONJ
cana-2251	49	16	the	the	DET
cana-2251	49	17	hybrid	hybrid	ADJ
cana-2251	49	18	quantum	quantum	NOUN
cana-2251	49	19	model	model	NOUN
cana-2251	49	20	can	can	AUX
cana-2251	49	21	predict	predict	VERB
cana-2251	49	22	ic50	ic50	PROPN
cana-2251	49	23	drug	drug	NOUN
cana-2251	49	24	communications	communication	NOUN
cana-2251	49	25	on	on	ADP
cana-2251	49	26	applied	apply	VERB
cana-2251	49	27	nonlinear	nonlinear	ADJ
cana-2251	49	28	analysis	analysis	NOUN
cana-2251	49	29	issn	issn	NOUN
cana-2251	49	30	:	:	PUNCT
cana-2251	49	31	1074	1074	NUM
cana-2251	49	32	-	-	PUNCT
cana-2251	49	33	133x	133x	NUM
cana-2251	49	34	vol	vol	NOUN
cana-2251	49	35	32	32	NUM
cana-2251	49	36	no	no	NOUN
cana-2251	49	37	.	.	PUNCT
cana-2251	50	1	2s	2s	NUM
cana-2251	50	2	(	(	PUNCT
cana-2251	50	3	2025	2025	NUM
cana-2251	50	4	)	)	PUNCT
cana-2251	50	5	66	66	NUM
cana-2251	50	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2251	50	7	effectiveness	effectiveness	NOUN
cana-2251	50	8	values	value	NOUN
cana-2251	50	9	15	15	NUM
cana-2251	50	10	%	%	NOUN
cana-2251	50	11	better	well	ADJ
cana-2251	50	12	than	than	ADP
cana-2251	50	13	its	its	PRON
cana-2251	50	14	classical	classical	ADJ
cana-2251	50	15	counterpart	counterpart	NOUN
cana-2251	50	16	.	.	PUNCT
cana-2251	51	1	this	this	PRON
cana-2251	51	2	brings	bring	VERB
cana-2251	51	3	us	we	PRON
cana-2251	51	4	closer	close	ADV
cana-2251	51	5	to	to	ADP
cana-2251	51	6	using	use	VERB
cana-2251	51	7	quantum	quantum	ADJ
cana-2251	51	8	computers	computer	NOUN
cana-2251	51	9	to	to	PART
cana-2251	51	10	build	build	VERB
cana-2251	51	11	tailored	tailor	VERB
cana-2251	51	12	medical	medical	ADJ
cana-2251	51	13	applications	application	NOUN
cana-2251	51	14	.	.	PUNCT
cana-2251	52	1	the	the	DET
cana-2251	52	2	hybrid	hybrid	ADJ
cana-2251	52	3	quantum	quantum	NOUN
cana-2251	52	4	machine	machine	NOUN
cana-2251	52	5	learning	learning	NOUN
cana-2251	52	6	model	model	PROPN
cana-2251	52	7	advances	advance	VERB
cana-2251	52	8	deep	deep	ADJ
cana-2251	52	9	quantum	quantum	NOUN
cana-2251	52	10	data	data	NOUN
cana-2251	52	11	-	-	PUNCT
cana-2251	52	12	efficient	efficient	ADJ
cana-2251	52	13	algorithms	algorithm	NOUN
cana-2251	52	14	using	use	VERB
cana-2251	52	15	hundreds	hundred	NOUN
cana-2251	52	16	of	of	ADP
cana-2251	52	17	quantum	quantum	ADJ
cana-2251	52	18	gates	gate	NOUN
cana-2251	52	19	[	[	X
cana-2251	52	20	3	3	NUM
cana-2251	52	21	]	]	PUNCT
cana-2251	52	22	.	.	PUNCT
cana-2251	53	1	this	this	DET
cana-2251	53	2	breakthrough	breakthrough	NOUN
cana-2251	53	3	is	be	AUX
cana-2251	53	4	vital	vital	ADJ
cana-2251	53	5	in	in	ADP
cana-2251	53	6	customized	customized	ADJ
cana-2251	53	7	medicine	medicine	NOUN
cana-2251	53	8	,	,	PUNCT
cana-2251	53	9	where	where	SCONJ
cana-2251	53	10	data	data	NOUN
cana-2251	53	11	collection	collection	NOUN
cana-2251	53	12	can	can	AUX
cana-2251	53	13	be	be	AUX
cana-2251	53	14	complex	complex	ADJ
cana-2251	54	1	[	[	X
cana-2251	54	2	18	18	NUM
cana-2251	54	3	]	]	PUNCT
cana-2251	54	4	.	.	PUNCT
cana-2251	55	1	movassagh	movassagh	PROPN
cana-2251	55	2	et	et	PROPN
cana-2251	55	3	al	al	PROPN
cana-2251	55	4	.	.	PROPN
cana-2251	55	5	,	,	PUNCT
cana-2251	56	1	[	[	X
cana-2251	56	2	22	22	NUM
cana-2251	56	3	]	]	PUNCT
cana-2251	56	4	aim	aim	VERB
cana-2251	56	5	to	to	PART
cana-2251	56	6	train	train	VERB
cana-2251	56	7	a	a	DET
cana-2251	56	8	perceptron	perceptron	PROPN
cana-2251	56	9	neural	neural	ADJ
cana-2251	56	10	network	network	NOUN
cana-2251	56	11	with	with	ADP
cana-2251	56	12	improved	improved	ADJ
cana-2251	56	13	accuracy	accuracy	NOUN
cana-2251	56	14	using	use	VERB
cana-2251	56	15	a	a	DET
cana-2251	56	16	meta	meta	ADJ
cana-2251	56	17	-	-	PUNCT
cana-2251	56	18	heuristic	heuristic	ADJ
cana-2251	56	19	approach	approach	NOUN
cana-2251	56	20	(	(	PUNCT
cana-2251	56	21	mha	mha	PROPN
cana-2251	56	22	)	)	PUNCT
cana-2251	56	23	.	.	PUNCT
cana-2251	57	1	the	the	DET
cana-2251	57	2	article	article	NOUN
cana-2251	57	3	describes	describe	VERB
cana-2251	57	4	how	how	SCONJ
cana-2251	57	5	the	the	DET
cana-2251	57	6	input	input	NOUN
cana-2251	57	7	coefficients	coefficient	NOUN
cana-2251	57	8	of	of	ADP
cana-2251	57	9	a	a	DET
cana-2251	57	10	neural	neural	ADJ
cana-2251	57	11	network	network	NOUN
cana-2251	57	12	were	be	AUX
cana-2251	57	13	determined	determine	VERB
cana-2251	57	14	using	use	VERB
cana-2251	57	15	an	an	DET
cana-2251	57	16	integrated	integrate	VERB
cana-2251	57	17	method	method	NOUN
cana-2251	57	18	[	[	X
cana-2251	57	19	12	12	NUM
cana-2251	57	20	]	]	PUNCT
cana-2251	57	21	.	.	PUNCT
cana-2251	58	1	to	to	PART
cana-2251	58	2	evaluate	evaluate	VERB
cana-2251	58	3	the	the	DET
cana-2251	58	4	efficacy	efficacy	NOUN
cana-2251	58	5	of	of	ADP
cana-2251	58	6	the	the	DET
cana-2251	58	7	suggested	suggest	VERB
cana-2251	58	8	algorithm	algorithm	NOUN
cana-2251	58	9	,	,	PUNCT
cana-2251	58	10	it	it	PRON
cana-2251	58	11	was	be	AUX
cana-2251	58	12	later	later	ADV
cana-2251	58	13	compared	compare	VERB
cana-2251	58	14	to	to	ADP
cana-2251	58	15	others	other	NOUN
cana-2251	58	16	,	,	PUNCT
cana-2251	58	17	including	include	VERB
cana-2251	58	18	ant	ant	ADJ
cana-2251	58	19	colony	colony	NOUN
cana-2251	58	20	and	and	CCONJ
cana-2251	58	21	invasive	invasive	ADJ
cana-2251	58	22	weed	weed	NOUN
cana-2251	58	23	optimization	optimization	NOUN
cana-2251	58	24	.	.	PUNCT
cana-2251	59	1	compared	compare	VERB
cana-2251	59	2	to	to	ADP
cana-2251	59	3	other	other	ADJ
cana-2251	59	4	methods	method	NOUN
cana-2251	59	5	,	,	PUNCT
cana-2251	59	6	the	the	DET
cana-2251	59	7	suggested	suggest	VERB
cana-2251	59	8	one	one	NOUN
cana-2251	59	9	achieves	achieve	VERB
cana-2251	59	10	a	a	DET
cana-2251	59	11	higher	high	ADJ
cana-2251	59	12	rate	rate	NOUN
cana-2251	59	13	of	of	ADP
cana-2251	59	14	convergence	convergence	NOUN
cana-2251	59	15	with	with	ADP
cana-2251	59	16	the	the	DET
cana-2251	59	17	neural	neural	ADJ
cana-2251	59	18	network	network	NOUN
cana-2251	59	19	coefficient	coefficient	NOUN
cana-2251	59	20	,	,	PUNCT
cana-2251	59	21	according	accord	VERB
cana-2251	59	22	to	to	ADP
cana-2251	59	23	the	the	DET
cana-2251	59	24	results	result	NOUN
cana-2251	59	25	.	.	PUNCT
cana-2251	60	1	on	on	ADP
cana-2251	60	2	the	the	DET
cana-2251	60	3	other	other	ADJ
cana-2251	60	4	hand	hand	NOUN
cana-2251	60	5	,	,	PUNCT
cana-2251	60	6	the	the	DET
cana-2251	60	7	neural	neural	ADJ
cana-2251	60	8	network	network	NOUN
cana-2251	60	9	's	's	PART
cana-2251	60	10	prediction	prediction	NOUN
cana-2251	60	11	error	error	NOUN
cana-2251	60	12	was	be	AUX
cana-2251	60	13	reduced	reduce	VERB
cana-2251	60	14	by	by	ADP
cana-2251	60	15	the	the	DET
cana-2251	60	16	suggested	suggest	VERB
cana-2251	60	17	approach	approach	NOUN
cana-2251	60	18	.	.	PUNCT
cana-2251	61	1	by	by	ADP
cana-2251	61	2	training	train	VERB
cana-2251	61	3	computers	computer	NOUN
cana-2251	61	4	in	in	ADP
cana-2251	61	5	various	various	ADJ
cana-2251	61	6	ways	way	NOUN
cana-2251	61	7	,	,	PUNCT
cana-2251	61	8	arora	arora	PROPN
cana-2251	61	9	et	et	PROPN
cana-2251	61	10	al	al	PROPN
cana-2251	61	11	.	.	PROPN
cana-2251	61	12	,	,	PUNCT
cana-2251	61	13	[	[	X
cana-2251	61	14	11	11	NUM
cana-2251	61	15	]	]	PUNCT
cana-2251	61	16	introduced	introduce	VERB
cana-2251	61	17	artificial	artificial	ADJ
cana-2251	61	18	intelligence	intelligence	NOUN
cana-2251	61	19	(	(	PUNCT
cana-2251	61	20	ai),which	ai),which	ADJ
cana-2251	61	21	can	can	AUX
cana-2251	61	22	create	create	VERB
cana-2251	61	23	new	new	ADJ
cana-2251	61	24	algorithms	algorithm	NOUN
cana-2251	61	25	and	and	CCONJ
cana-2251	61	26	hypotheses	hypothesis	NOUN
cana-2251	61	27	using	use	VERB
cana-2251	61	28	deep	deep	ADJ
cana-2251	61	29	learning	learning	NOUN
cana-2251	61	30	(	(	PUNCT
cana-2251	61	31	dl	dl	PROPN
cana-2251	61	32	)	)	PUNCT
cana-2251	61	33	,	,	PUNCT
cana-2251	61	34	neural	neural	ADJ
cana-2251	61	35	networks	network	NOUN
cana-2251	61	36	(	(	PUNCT
cana-2251	61	37	nns	nn	NOUN
cana-2251	61	38	)	)	PUNCT
cana-2251	61	39	,	,	PUNCT
cana-2251	61	40	and	and	CCONJ
cana-2251	61	41	machine	machine	NOUN
cana-2251	61	42	learning	learning	NOUN
cana-2251	61	43	(	(	PUNCT
cana-2251	61	44	ml	ml	NOUN
cana-2251	61	45	)	)	PUNCT
cana-2251	61	46	.	.	PUNCT
cana-2251	62	1	from	from	ADP
cana-2251	62	2	chemical	chemical	ADJ
cana-2251	62	3	identification	identification	NOUN
cana-2251	62	4	to	to	ADP
cana-2251	62	5	clinical	clinical	ADJ
cana-2251	62	6	approval	approval	NOUN
cana-2251	62	7	,	,	PUNCT
cana-2251	62	8	artificial	artificial	ADJ
cana-2251	62	9	intelligencebased	intelligencebase	VERB
cana-2251	62	10	drug	drug	NOUN
cana-2251	62	11	development	development	NOUN
cana-2251	62	12	saves	save	VERB
cana-2251	62	13	time	time	NOUN
cana-2251	62	14	and	and	CCONJ
cana-2251	62	15	money	money	NOUN
cana-2251	62	16	.	.	PUNCT
cana-2251	63	1	a	a	DET
cana-2251	63	2	covid-19	covid-19	PROPN
cana-2251	63	3	vaccine	vaccine	NOUN
cana-2251	63	4	and	and	CCONJ
cana-2251	63	5	its	its	PRON
cana-2251	63	6	clearance	clearance	NOUN
cana-2251	63	7	by	by	ADP
cana-2251	63	8	the	the	DET
cana-2251	63	9	proper	proper	ADJ
cana-2251	63	10	authorities	authority	NOUN
cana-2251	63	11	within	within	ADP
cana-2251	63	12	a	a	DET
cana-2251	63	13	year	year	NOUN
cana-2251	63	14	or	or	CCONJ
cana-2251	63	15	two	two	NUM
cana-2251	63	16	is	be	AUX
cana-2251	63	17	the	the	DET
cana-2251	63	18	most	most	ADV
cana-2251	63	19	convincing	convincing	ADJ
cana-2251	63	20	example	example	NOUN
cana-2251	63	21	of	of	ADP
cana-2251	63	22	pharmaceutical	pharmaceutical	NOUN
cana-2251	63	23	product	product	NOUN
cana-2251	63	24	development	development	NOUN
cana-2251	63	25	.	.	PUNCT
cana-2251	64	1	artificial	artificial	ADJ
cana-2251	64	2	intelligence	intelligence	NOUN
cana-2251	64	3	helps	help	VERB
cana-2251	64	4	scientists	scientist	NOUN
cana-2251	64	5	quickly	quickly	ADV
cana-2251	64	6	simplify	simplify	VERB
cana-2251	64	7	their	their	PRON
cana-2251	64	8	cutting	cutting	NOUN
cana-2251	64	9	-	-	PUNCT
cana-2251	64	10	edge	edge	NOUN
cana-2251	64	11	discoveries	discovery	NOUN
cana-2251	64	12	.	.	PUNCT
cana-2251	65	1	fda	fda	PROPN
cana-2251	65	2	-	-	PUNCT
cana-2251	65	3	approved	approve	VERB
cana-2251	65	4	nano	nano	NOUN
cana-2251	65	5	medicines	medicine	NOUN
cana-2251	65	6	powered	power	VERB
cana-2251	65	7	by	by	ADP
cana-2251	65	8	artificial	artificial	ADJ
cana-2251	65	9	intelligence	intelligence	NOUN
cana-2251	65	10	are	be	AUX
cana-2251	65	11	restoring	restore	VERB
cana-2251	65	12	the	the	DET
cana-2251	65	13	therapeutic	therapeutic	ADJ
cana-2251	65	14	side	side	NOUN
cana-2251	65	15	of	of	ADP
cana-2251	65	16	the	the	DET
cana-2251	65	17	pharmaceutical	pharmaceutical	NOUN
cana-2251	65	18	industry	industry	NOUN
cana-2251	65	19	,	,	PUNCT
cana-2251	65	20	improving	improve	VERB
cana-2251	65	21	drug	drug	NOUN
cana-2251	65	22	research	research	NOUN
cana-2251	65	23	,	,	PUNCT
cana-2251	65	24	and	and	CCONJ
cana-2251	65	25	targeting	target	VERB
cana-2251	65	26	specific	specific	ADJ
cana-2251	65	27	synergistic	synergistic	ADJ
cana-2251	65	28	therapies	therapy	NOUN
cana-2251	65	29	.	.	PUNCT
cana-2251	66	1	this	this	DET
cana-2251	66	2	in	in	ADP
cana-2251	66	3	-	-	PUNCT
cana-2251	66	4	depth	depth	NOUN
cana-2251	66	5	examination	examination	NOUN
cana-2251	66	6	focuses	focus	VERB
cana-2251	66	7	on	on	ADP
cana-2251	66	8	ai	ai	NOUN
cana-2251	66	9	and	and	CCONJ
cana-2251	66	10	its	its	PRON
cana-2251	66	11	applications	application	NOUN
cana-2251	66	12	in	in	ADP
cana-2251	66	13	the	the	DET
cana-2251	66	14	pharmaceutical	pharmaceutical	NOUN
cana-2251	66	15	and	and	CCONJ
cana-2251	66	16	life	life	NOUN
cana-2251	66	17	science	science	NOUN
cana-2251	66	18	industries	industry	NOUN
cana-2251	66	19	.	.	PUNCT
cana-2251	67	1	it	it	PRON
cana-2251	67	2	studies	study	NOUN
cana-2251	67	3	ai	ai	VERB
cana-2251	67	4	in	in	ADP
cana-2251	67	5	drug	drug	NOUN
cana-2251	67	6	design	design	NOUN
cana-2251	67	7	,	,	PUNCT
cana-2251	67	8	discovery	discovery	NOUN
cana-2251	67	9	,	,	PUNCT
cana-2251	67	10	development	development	NOUN
cana-2251	67	11	,	,	PUNCT
cana-2251	67	12	traditional	traditional	ADJ
cana-2251	67	13	chinese	chinese	ADJ
cana-2251	67	14	medicine	medicine	NOUN
cana-2251	67	15	,	,	PUNCT
cana-2251	67	16	drug	drug	NOUN
cana-2251	67	17	repurposing	repurposing	NOUN
cana-2251	67	18	,	,	PUNCT
cana-2251	67	19	polypharmacology	polypharmacology	NOUN
cana-2251	67	20	,	,	PUNCT
cana-2251	67	21	and	and	CCONJ
cana-2251	67	22	multi	multi	ADJ
cana-2251	67	23	-	-	ADJ
cana-2251	67	24	omics	omics	ADJ
cana-2251	67	25	data	datum	NOUN
cana-2251	67	26	integration	integration	NOUN
cana-2251	67	27	.	.	PUNCT
cana-2251	68	1	choudhuri	choudhuri	PROPN
cana-2251	68	2	et	et	PROPN
cana-2251	68	3	al	al	PROPN
cana-2251	68	4	.	.	PROPN
cana-2251	68	5	,	,	PUNCT
cana-2251	69	1	[	[	X
cana-2251	69	2	19	19	NUM
cana-2251	69	3	]	]	PUNCT
cana-2251	69	4	studied	study	VERB
cana-2251	69	5	computational	computational	ADJ
cana-2251	69	6	drug	drug	NOUN
cana-2251	69	7	design	design	NOUN
cana-2251	69	8	.	.	PUNCT
cana-2251	70	1	this	this	DET
cana-2251	70	2	article	article	NOUN
cana-2251	70	3	covers	cover	VERB
cana-2251	70	4	many	many	ADJ
cana-2251	70	5	subjects	subject	NOUN
cana-2251	70	6	,	,	PUNCT
cana-2251	70	7	including	include	VERB
cana-2251	70	8	computational	computational	ADJ
cana-2251	70	9	drug	drug	NOUN
cana-2251	70	10	design	design	NOUN
cana-2251	70	11	approaches	approach	NOUN
cana-2251	70	12	,	,	PUNCT
cana-2251	70	13	kinase	kinase	VERB
cana-2251	70	14	enzyme	enzyme	VERB
cana-2251	70	15	computational	computational	ADJ
cana-2251	70	16	drug	drug	NOUN
cana-2251	70	17	design	design	NOUN
cana-2251	70	18	,	,	PUNCT
cana-2251	70	19	deep	deep	ADJ
cana-2251	70	20	learning	learning	NOUN
cana-2251	70	21	and	and	CCONJ
cana-2251	70	22	machine	machine	NOUN
cana-2251	70	23	learning	learn	VERB
cana-2251	70	24	advances	advance	NOUN
cana-2251	70	25	.	.	PUNCT
cana-2251	71	1	by	by	ADP
cana-2251	71	2	examining	examine	VERB
cana-2251	71	3	its	its	PRON
cana-2251	71	4	current	current	ADJ
cana-2251	71	5	condition	condition	NOUN
cana-2251	71	6	,	,	PUNCT
cana-2251	71	7	we	we	PRON
cana-2251	71	8	can	can	AUX
cana-2251	71	9	better	well	ADV
cana-2251	71	10	comprehend	comprehend	VERB
cana-2251	71	11	cheminformatics	cheminformatic	NOUN
cana-2251	71	12	'	'	PART
cana-2251	71	13	potential	potential	ADJ
cana-2251	71	14	,	,	PUNCT
cana-2251	71	15	limitations	limitation	NOUN
cana-2251	71	16	,	,	PUNCT
cana-2251	71	17	and	and	CCONJ
cana-2251	71	18	beneficial	beneficial	ADJ
cana-2251	71	19	outcomes	outcome	NOUN
cana-2251	71	20	.	.	PUNCT
cana-2251	72	1	this	this	DET
cana-2251	72	2	research	research	NOUN
cana-2251	72	3	will	will	AUX
cana-2251	72	4	concentrate	concentrate	VERB
cana-2251	72	5	on	on	ADP
cana-2251	72	6	molecular	molecular	ADJ
cana-2251	72	7	data	datum	NOUN
cana-2251	72	8	description	description	NOUN
cana-2251	72	9	,	,	PUNCT
cana-2251	72	10	biological	biological	ADJ
cana-2251	72	11	concerns	concern	NOUN
cana-2251	72	12	,	,	PUNCT
cana-2251	72	13	and	and	CCONJ
cana-2251	72	14	machine	machine	NOUN
cana-2251	72	15	learning	learn	VERB
cana-2251	72	16	algorithms	algorithm	NOUN
cana-2251	72	17	.	.	PUNCT
cana-2251	73	1	it	it	PRON
cana-2251	73	2	will	will	AUX
cana-2251	73	3	also	also	ADV
cana-2251	73	4	discuss	discuss	VERB
cana-2251	73	5	how	how	SCONJ
cana-2251	73	6	algorithms	algorithm	NOUN
cana-2251	73	7	are	be	AUX
cana-2251	73	8	crucial	crucial	ADJ
cana-2251	73	9	to	to	ADP
cana-2251	73	10	modern	modern	ADJ
cana-2251	73	11	medication	medication	NOUN
cana-2251	73	12	development	development	NOUN
cana-2251	73	13	.	.	PUNCT
cana-2251	74	1	drug	drug	NOUN
cana-2251	74	2	discovery	discovery	PROPN
cana-2251	74	3	and	and	CCONJ
cana-2251	74	4	development	development	NOUN
cana-2251	74	5	now	now	ADV
cana-2251	74	6	emphasize	emphasize	VERB
cana-2251	74	7	computational	computational	ADJ
cana-2251	74	8	drug	drug	NOUN
cana-2251	74	9	design	design	NOUN
cana-2251	74	10	.	.	PUNCT
cana-2251	75	1	a	a	DET
cana-2251	75	2	significant	significant	ADJ
cana-2251	75	3	benefit	benefit	NOUN
cana-2251	75	4	of	of	ADP
cana-2251	75	5	this	this	DET
cana-2251	75	6	strategy	strategy	NOUN
cana-2251	75	7	is	be	AUX
cana-2251	75	8	the	the	DET
cana-2251	75	9	rapid	rapid	ADJ
cana-2251	75	10	discovery	discovery	NOUN
cana-2251	75	11	and	and	CCONJ
cana-2251	75	12	optimization	optimization	NOUN
cana-2251	75	13	of	of	ADP
cana-2251	75	14	promising	promise	VERB
cana-2251	75	15	pharmacological	pharmacological	ADJ
cana-2251	75	16	candidates	candidate	NOUN
cana-2251	75	17	.	.	PUNCT
cana-2251	76	1	despite	despite	SCONJ
cana-2251	76	2	the	the	DET
cana-2251	76	3	imprecision	imprecision	NOUN
cana-2251	76	4	of	of	ADP
cana-2251	76	5	mathematical	mathematical	ADJ
cana-2251	76	6	techniques	technique	NOUN
cana-2251	76	7	,	,	PUNCT
cana-2251	76	8	the	the	DET
cana-2251	76	9	discipline	discipline	NOUN
cana-2251	76	10	constantly	constantly	ADV
cana-2251	76	11	evolves	evolve	VERB
cana-2251	76	12	,	,	PUNCT
cana-2251	76	13	resulting	result	VERB
cana-2251	76	14	in	in	ADP
cana-2251	76	15	new	new	ADJ
cana-2251	76	16	and	and	CCONJ
cana-2251	76	17	creative	creative	ADJ
cana-2251	76	18	medications	medication	NOUN
cana-2251	76	19	.	.	PUNCT
cana-2251	77	1	visan	visan	INTJ
cana-2251	77	2	et	et	PROPN
cana-2251	77	3	al	al	PROPN
cana-2251	77	4	.	.	PROPN
cana-2251	77	5	,	,	PUNCT
cana-2251	77	6	examined	examine	VERB
cana-2251	77	7	various	various	ADJ
cana-2251	77	8	ai	ai	ADJ
cana-2251	77	9	applications	application	NOUN
cana-2251	77	10	in	in	ADP
cana-2251	77	11	the	the	DET
cana-2251	77	12	pharmaceutical	pharmaceutical	ADJ
cana-2251	77	13	industry	industry	NOUN
cana-2251	77	14	[	[	X
cana-2251	77	15	13	13	NUM
cana-2251	77	16	]	]	PUNCT
cana-2251	77	17	.	.	PUNCT
cana-2251	78	1	ai	ai	VERB
cana-2251	78	2	-	-	PUNCT
cana-2251	78	3	assisted	assist	VERB
cana-2251	78	4	medicine	medicine	NOUN
cana-2251	78	5	delivery	delivery	NOUN
cana-2251	78	6	design	design	NOUN
cana-2251	78	7	,	,	PUNCT
cana-2251	78	8	innovative	innovative	ADJ
cana-2251	78	9	drug	drug	NOUN
cana-2251	78	10	discovery	discovery	NOUN
cana-2251	78	11	,	,	PUNCT
cana-2251	78	12	and	and	CCONJ
cana-2251	78	13	creative	creative	ADJ
cana-2251	78	14	ai	ai	VERB
cana-2251	78	15	approaches	approach	NOUN
cana-2251	78	16	are	be	AUX
cana-2251	78	17	explored	explore	VERB
cana-2251	78	18	.	.	PUNCT
cana-2251	79	1	we	we	PRON
cana-2251	79	2	cover	cover	VERB
cana-2251	79	3	target	target	NOUN
cana-2251	79	4	identification	identification	NOUN
cana-2251	79	5	,	,	PUNCT
cana-2251	79	6	virtual	virtual	ADJ
cana-2251	79	7	screens	screen	NOUN
cana-2251	79	8	,	,	PUNCT
cana-2251	79	9	and	and	CCONJ
cana-2251	79	10	pharmaceutical	pharmaceutical	NOUN
cana-2251	79	11	formulation	formulation	NOUN
cana-2251	79	12	as	as	SCONJ
cana-2251	79	13	we	we	PRON
cana-2251	79	14	study	study	VERB
cana-2251	79	15	deep	deep	ADJ
cana-2251	79	16	learning	learning	NOUN
cana-2251	79	17	and	and	CCONJ
cana-2251	79	18	machine	machine	NOUN
cana-2251	79	19	learning	learning	NOUN
cana-2251	79	20	.	.	PUNCT
cana-2251	80	1	the	the	DET
cana-2251	80	2	healthcare	healthcare	NOUN
cana-2251	80	3	industry	industry	NOUN
cana-2251	80	4	has	have	AUX
cana-2251	80	5	been	be	AUX
cana-2251	80	6	dramatically	dramatically	ADV
cana-2251	80	7	impacted	impact	VERB
cana-2251	80	8	by	by	ADP
cana-2251	80	9	artificial	artificial	ADJ
cana-2251	80	10	intelligence	intelligence	NOUN
cana-2251	80	11	(	(	PUNCT
cana-2251	80	12	ai	ai	NOUN
cana-2251	80	13	)	)	PUNCT
cana-2251	80	14	.	.	PUNCT
cana-2251	81	1	artificial	artificial	ADJ
cana-2251	81	2	intelligence	intelligence	NOUN
cana-2251	81	3	can	can	AUX
cana-2251	81	4	help	help	VERB
cana-2251	81	5	reposition	reposition	VERB
cana-2251	81	6	medications	medication	NOUN
cana-2251	81	7	and	and	CCONJ
cana-2251	81	8	develop	develop	VERB
cana-2251	81	9	new	new	ADJ
cana-2251	81	10	drug	drug	NOUN
cana-2251	81	11	combinations	combination	NOUN
cana-2251	81	12	,	,	PUNCT
cana-2251	81	13	which	which	PRON
cana-2251	81	14	could	could	AUX
cana-2251	81	15	improve	improve	VERB
cana-2251	81	16	pharmaceutical	pharmaceutical	ADJ
cana-2251	81	17	delivery	delivery	NOUN
cana-2251	81	18	systems	system	NOUN
cana-2251	81	19	.	.	PUNCT
cana-2251	82	1	a	a	DET
cana-2251	82	2	comprehensive	comprehensive	ADJ
cana-2251	82	3	study	study	NOUN
cana-2251	82	4	of	of	ADP
cana-2251	82	5	drug	drug	NOUN
cana-2251	82	6	discovery	discovery	PROPN
cana-2251	82	7	ai	ai	VERB
cana-2251	82	8	algorithms	algorithm	NOUN
cana-2251	82	9	and	and	CCONJ
cana-2251	82	10	platforms	platform	NOUN
cana-2251	82	11	is	be	AUX
cana-2251	82	12	provided	provide	VERB
cana-2251	82	13	in	in	ADP
cana-2251	82	14	this	this	DET
cana-2251	82	15	article	article	NOUN
cana-2251	82	16	.	.	PUNCT
cana-2251	83	1	this	this	PRON
cana-2251	83	2	shows	show	VERB
cana-2251	83	3	the	the	DET
cana-2251	83	4	field	field	NOUN
cana-2251	83	5	's	's	PART
cana-2251	83	6	technical	technical	ADJ
cana-2251	83	7	advances	advance	NOUN
cana-2251	83	8	and	and	CCONJ
cana-2251	83	9	prospects	prospect	NOUN
cana-2251	83	10	.	.	PUNCT
cana-2251	84	1	this	this	DET
cana-2251	84	2	work	work	NOUN
cana-2251	84	3	reviews	review	NOUN
cana-2251	84	4	ai	ai	VERB
cana-2251	84	5	in	in	ADP
cana-2251	84	6	drug	drug	NOUN
cana-2251	84	7	development	development	NOUN
cana-2251	84	8	.	.	PUNCT
cana-2251	85	1	it	it	PRON
cana-2251	85	2	also	also	ADV
cana-2251	85	3	anticipates	anticipate	VERB
cana-2251	85	4	ai	ai	VERB
cana-2251	85	5	's	's	PART
cana-2251	85	6	future	future	ADJ
cana-2251	85	7	prospects	prospect	NOUN
cana-2251	85	8	and	and	CCONJ
cana-2251	85	9	difficulties	difficulty	NOUN
cana-2251	85	10	.	.	PUNCT
cana-2251	86	1	communications	communication	NOUN
cana-2251	86	2	on	on	ADP
cana-2251	86	3	applied	apply	VERB
cana-2251	86	4	nonlinear	nonlinear	ADJ
cana-2251	86	5	analysis	analysis	NOUN
cana-2251	86	6	issn	issn	NOUN
cana-2251	86	7	:	:	PUNCT
cana-2251	86	8	1074	1074	NUM
cana-2251	86	9	-	-	PUNCT
cana-2251	86	10	133x	133x	NUM
cana-2251	86	11	vol	vol	NOUN
cana-2251	86	12	32	32	NUM
cana-2251	86	13	no	no	NOUN
cana-2251	86	14	.	.	PUNCT
cana-2251	87	1	2s	2s	NUM
cana-2251	87	2	(	(	PUNCT
cana-2251	87	3	2025	2025	NUM
cana-2251	87	4	)	)	PUNCT
cana-2251	87	5	67	67	NUM
cana-2251	87	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2251	87	7	3	3	X
cana-2251	87	8	.	.	X
cana-2251	87	9	system	system	NOUN
cana-2251	87	10	methodology	methodology	NOUN
cana-2251	87	11	computational	computational	ADJ
cana-2251	87	12	drug	drug	NOUN
cana-2251	87	13	development	development	NOUN
cana-2251	87	14	begins	begin	VERB
cana-2251	87	15	with	with	ADP
cana-2251	87	16	target	target	NOUN
cana-2251	87	17	recognition	recognition	NOUN
cana-2251	87	18	,	,	PUNCT
cana-2251	87	19	appraisal	appraisal	NOUN
cana-2251	87	20	,	,	PUNCT
cana-2251	87	21	and	and	CCONJ
cana-2251	87	22	candidate	candidate	NOUN
cana-2251	87	23	search	search	NOUN
cana-2251	87	24	.	.	PUNCT
cana-2251	88	1	target	target	NOUN
cana-2251	88	2	selection	selection	NOUN
cana-2251	88	3	transforms	transform	VERB
cana-2251	88	4	disease	disease	NOUN
cana-2251	88	5	pathophysiology	pathophysiology	NOUN
cana-2251	88	6	by	by	ADP
cana-2251	88	7	determining	determine	VERB
cana-2251	88	8	lead	lead	ADJ
cana-2251	88	9	chemical	chemical	ADJ
cana-2251	88	10	drug	drug	NOUN
cana-2251	88	11	ability	ability	NOUN
cana-2251	88	12	and	and	CCONJ
cana-2251	88	13	selecting	select	VERB
cana-2251	88	14	targets	target	NOUN
cana-2251	88	15	.	.	PUNCT
cana-2251	89	1	human	human	ADJ
cana-2251	89	2	diseases	disease	NOUN
cana-2251	89	3	are	be	AUX
cana-2251	89	4	complicated	complicate	VERB
cana-2251	89	5	;	;	PUNCT
cana-2251	89	6	thus	thus	ADV
cana-2251	89	7	,	,	PUNCT
cana-2251	89	8	selecting	select	VERB
cana-2251	89	9	targets	target	NOUN
cana-2251	89	10	requires	require	VERB
cana-2251	89	11	all	all	ADV
cana-2251	89	12	-	-	PUNCT
cana-2251	89	13	encompassing	encompass	VERB
cana-2251	89	14	methodologies	methodology	NOUN
cana-2251	89	15	that	that	PRON
cana-2251	89	16	combine	combine	VERB
cana-2251	89	17	heterogeneous	heterogeneous	ADJ
cana-2251	89	18	data	datum	NOUN
cana-2251	89	19	,	,	PUNCT
cana-2251	89	20	understand	understand	VERB
cana-2251	89	21	the	the	DET
cana-2251	89	22	molecular	molecular	ADJ
cana-2251	89	23	-	-	PUNCT
cana-2251	89	24	level	level	NOUN
cana-2251	89	25	process	process	NOUN
cana-2251	89	26	of	of	ADP
cana-2251	89	27	disease	disease	NOUN
cana-2251	89	28	manifestations	manifestation	NOUN
cana-2251	89	29	,	,	PUNCT
cana-2251	89	30	and	and	CCONJ
cana-2251	89	31	help	help	VERB
cana-2251	89	32	find	find	VERB
cana-2251	89	33	patient	patient	NOUN
cana-2251	89	34	-	-	PUNCT
cana-2251	89	35	specific	specific	ADJ
cana-2251	89	36	changes	change	NOUN
cana-2251	89	37	.	.	PUNCT
cana-2251	90	1	the	the	DET
cana-2251	90	2	proposed	propose	VERB
cana-2251	90	3	ec	ec	PROPN
cana-2251	90	4	-	-	PUNCT
cana-2251	90	5	hann	hann	PROPN
cana-2251	90	6	architecture	architecture	NOUN
cana-2251	90	7	creates	create	VERB
cana-2251	90	8	a	a	DET
cana-2251	90	9	resilient	resilient	ADJ
cana-2251	90	10	,	,	PUNCT
cana-2251	90	11	adaptive	adaptive	ADJ
cana-2251	90	12	,	,	PUNCT
cana-2251	90	13	and	and	CCONJ
cana-2251	90	14	efficient	efficient	ADJ
cana-2251	90	15	drug	drug	NOUN
cana-2251	90	16	discovery	discovery	NOUN
cana-2251	90	17	system	system	NOUN
cana-2251	90	18	.	.	PUNCT
cana-2251	91	1	it	it	PRON
cana-2251	91	2	is	be	AUX
cana-2251	91	3	using	use	VERB
cana-2251	91	4	evolutionary	evolutionary	ADJ
cana-2251	91	5	optimization	optimization	NOUN
cana-2251	91	6	and	and	CCONJ
cana-2251	91	7	advanced	advanced	ADJ
cana-2251	91	8	neural	neural	ADJ
cana-2251	91	9	network	network	NOUN
cana-2251	91	10	modelling	modelling	NOUN
cana-2251	91	11	.	.	PUNCT
cana-2251	92	1	particle	particle	NOUN
cana-2251	92	2	swarm	swarm	NOUN
cana-2251	92	3	optimization	optimization	NOUN
cana-2251	92	4	(	(	PUNCT
cana-2251	92	5	pso	pso	NOUN
cana-2251	92	6	)	)	PUNCT
cana-2251	92	7	precisely	precisely	ADV
cana-2251	92	8	tunes	tune	VERB
cana-2251	92	9	the	the	DET
cana-2251	92	10	hann	hann	PROPN
cana-2251	92	11	architecture	architecture	NOUN
cana-2251	92	12	for	for	ADP
cana-2251	92	13	each	each	DET
cana-2251	92	14	drug	drug	NOUN
cana-2251	92	15	development	development	NOUN
cana-2251	92	16	problem	problem	NOUN
cana-2251	92	17	.	.	PUNCT
cana-2251	93	1	in	in	ADP
cana-2251	93	2	addition	addition	NOUN
cana-2251	93	3	,	,	PUNCT
cana-2251	93	4	the	the	DET
cana-2251	93	5	hybrid	hybrid	ADJ
cana-2251	93	6	neural	neural	ADJ
cana-2251	93	7	network	network	NOUN
cana-2251	93	8	structure	structure	NOUN
cana-2251	93	9	allows	allow	VERB
cana-2251	93	10	in	in	ADP
cana-2251	93	11	-	-	PUNCT
cana-2251	93	12	depth	depth	NOUN
cana-2251	93	13	chemical	chemical	NOUN
cana-2251	93	14	and	and	CCONJ
cana-2251	93	15	biological	biological	ADJ
cana-2251	93	16	data	datum	NOUN
cana-2251	93	17	investigations	investigation	NOUN
cana-2251	93	18	.	.	PUNCT
cana-2251	94	1	researchers	researcher	NOUN
cana-2251	94	2	and	and	CCONJ
cana-2251	94	3	pharmaceutical	pharmaceutical	NOUN
cana-2251	94	4	companies	company	NOUN
cana-2251	94	5	can	can	AUX
cana-2251	94	6	profit	profit	VERB
cana-2251	94	7	from	from	ADP
cana-2251	94	8	this	this	DET
cana-2251	94	9	method	method	NOUN
cana-2251	94	10	since	since	SCONJ
cana-2251	94	11	it	it	PRON
cana-2251	94	12	speeds	speed	VERB
cana-2251	94	13	up	up	ADP
cana-2251	94	14	drug	drug	NOUN
cana-2251	94	15	discovery	discovery	NOUN
cana-2251	94	16	and	and	CCONJ
cana-2251	94	17	illuminates	illuminate	VERB
cana-2251	94	18	drug	drug	NOUN
cana-2251	94	19	-	-	PUNCT
cana-2251	94	20	target	target	NOUN
cana-2251	94	21	interaction	interaction	NOUN
cana-2251	94	22	mechanisms	mechanism	NOUN
cana-2251	94	23	.	.	PUNCT
cana-2251	95	1	3.1	3.1	NUM
cana-2251	95	2	.	.	PUNCT
cana-2251	95	3	overall	overall	ADJ
cana-2251	95	4	structure	structure	NOUN
cana-2251	95	5	of	of	ADP
cana-2251	95	6	the	the	DET
cana-2251	95	7	ec	ec	PROPN
cana-2251	95	8	-	-	PUNCT
cana-2251	95	9	hann	hann	PROPN
cana-2251	95	10	model	model	NOUN
cana-2251	95	11	figure	figure	NOUN
cana-2251	95	12	1	1	NUM
cana-2251	95	13	shows	show	VERB
cana-2251	95	14	a	a	DET
cana-2251	95	15	complete	complete	ADJ
cana-2251	95	16	plan	plan	NOUN
cana-2251	95	17	to	to	PART
cana-2251	95	18	improve	improve	VERB
cana-2251	95	19	drug	drug	NOUN
cana-2251	95	20	development	development	NOUN
cana-2251	95	21	using	use	VERB
cana-2251	95	22	ec	ec	PROPN
cana-2251	95	23	-	-	PUNCT
cana-2251	95	24	hanns	hann	NOUN
cana-2251	95	25	and	and	CCONJ
cana-2251	95	26	evolutionary	evolutionary	ADJ
cana-2251	95	27	computing	computing	NOUN
cana-2251	95	28	.	.	PUNCT
cana-2251	96	1	first	first	ADV
cana-2251	96	2	,	,	PUNCT
cana-2251	96	3	the	the	DET
cana-2251	96	4	flow	flow	NOUN
cana-2251	96	5	gathers	gather	VERB
cana-2251	96	6	chemical	chemical	ADJ
cana-2251	96	7	and	and	CCONJ
cana-2251	96	8	biological	biological	ADJ
cana-2251	96	9	data	datum	NOUN
cana-2251	96	10	from	from	ADP
cana-2251	96	11	several	several	ADJ
cana-2251	96	12	sources	source	NOUN
cana-2251	96	13	.	.	PUNCT
cana-2251	97	1	these	these	PRON
cana-2251	97	2	include	include	VERB
cana-2251	97	3	disease	disease	NOUN
cana-2251	97	4	-	-	PUNCT
cana-2251	97	5	specific	specific	ADJ
cana-2251	97	6	datasets	dataset	NOUN
cana-2251	97	7	,	,	PUNCT
cana-2251	97	8	small	small	ADJ
cana-2251	97	9	molecule	molecule	NOUN
cana-2251	97	10	,	,	PUNCT
cana-2251	97	11	protein	protein	NOUN
cana-2251	97	12	structure	structure	NOUN
cana-2251	97	13	,	,	PUNCT
cana-2251	97	14	and	and	CCONJ
cana-2251	97	15	genomic	genomic	ADJ
cana-2251	97	16	sequence	sequence	NOUN
cana-2251	97	17	data	datum	NOUN
cana-2251	97	18	.	.	PUNCT
cana-2251	98	1	using	use	VERB
cana-2251	98	2	this	this	DET
cana-2251	98	3	wealth	wealth	NOUN
cana-2251	98	4	of	of	ADP
cana-2251	98	5	data	data	PROPN
cana-2251	98	6	,	,	PUNCT
cana-2251	98	7	the	the	DET
cana-2251	98	8	protein	protein	NOUN
cana-2251	98	9	-	-	PUNCT
cana-2251	98	10	ligand	ligand	NOUN
cana-2251	98	11	complex	complex	NOUN
cana-2251	98	12	displays	display	VERB
cana-2251	98	13	the	the	DET
cana-2251	98	14	interaction	interaction	NOUN
cana-2251	98	15	between	between	ADP
cana-2251	98	16	a	a	DET
cana-2251	98	17	target	target	NOUN
cana-2251	98	18	protein	protein	NOUN
cana-2251	98	19	and	and	CCONJ
cana-2251	98	20	a	a	DET
cana-2251	98	21	potential	potential	ADJ
cana-2251	98	22	therapeutic	therapeutic	ADJ
cana-2251	98	23	chemical	chemical	NOUN
cana-2251	98	24	(	(	PUNCT
cana-2251	98	25	ligand	ligand	NOUN
cana-2251	98	26	)	)	PUNCT
cana-2251	98	27	.	.	PUNCT
cana-2251	99	1	it	it	PRON
cana-2251	99	2	's	be	AUX
cana-2251	99	3	essential	essential	ADJ
cana-2251	99	4	to	to	PART
cana-2251	99	5	determine	determine	VERB
cana-2251	99	6	the	the	DET
cana-2251	99	7	drug	drug	NOUN
cana-2251	99	8	applicant	applicant	NOUN
cana-2251	99	9	's	's	PART
cana-2251	99	10	binding	bind	VERB
cana-2251	99	11	affinity	affinity	NOUN
cana-2251	99	12	for	for	ADP
cana-2251	99	13	the	the	DET
cana-2251	99	14	target	target	NOUN
cana-2251	99	15	protein	protein	NOUN
cana-2251	99	16	before	before	ADP
cana-2251	99	17	clinical	clinical	ADJ
cana-2251	99	18	testing	testing	NOUN
cana-2251	99	19	to	to	PART
cana-2251	99	20	assess	assess	VERB
cana-2251	99	21	its	its	PRON
cana-2251	99	22	efficacy	efficacy	NOUN
cana-2251	99	23	and	and	CCONJ
cana-2251	99	24	safety	safety	NOUN
cana-2251	99	25	[	[	X
cana-2251	99	26	15	15	NUM
cana-2251	99	27	]	]	PUNCT
cana-2251	99	28	.	.	PUNCT
cana-2251	100	1	the	the	DET
cana-2251	100	2	proteinligand	proteinligand	ADJ
cana-2251	100	3	complex	complex	NOUN
cana-2251	100	4	is	be	AUX
cana-2251	100	5	crucial	crucial	ADJ
cana-2251	100	6	in	in	ADP
cana-2251	100	7	drug	drug	NOUN
cana-2251	100	8	development	development	NOUN
cana-2251	100	9	because	because	SCONJ
cana-2251	100	10	it	it	PRON
cana-2251	100	11	outlines	outline	VERB
cana-2251	100	12	potential	potential	ADJ
cana-2251	100	13	binding	bind	VERB
cana-2251	100	14	interactions	interaction	NOUN
cana-2251	100	15	between	between	ADP
cana-2251	100	16	a	a	DET
cana-2251	100	17	medication	medication	NOUN
cana-2251	100	18	and	and	CCONJ
cana-2251	100	19	its	its	PRON
cana-2251	100	20	target	target	NOUN
cana-2251	100	21	.	.	PUNCT
cana-2251	101	1	this	this	DET
cana-2251	101	2	complex	complex	NOUN
cana-2251	101	3	's	's	PART
cana-2251	101	4	assembly	assembly	NOUN
cana-2251	101	5	requires	require	VERB
cana-2251	101	6	contrasting	contrast	VERB
cana-2251	101	7	the	the	DET
cana-2251	101	8	ligand	ligand	NOUN
cana-2251	101	9	's	's	PART
cana-2251	101	10	molecular	molecular	ADJ
cana-2251	101	11	information	information	NOUN
cana-2251	101	12	with	with	ADP
cana-2251	101	13	that	that	PRON
cana-2251	101	14	of	of	ADP
cana-2251	101	15	the	the	DET
cana-2251	101	16	protein	protein	NOUN
cana-2251	101	17	structure	structure	NOUN
cana-2251	101	18	to	to	PART
cana-2251	101	19	determine	determine	VERB
cana-2251	101	20	compatibility	compatibility	NOUN
cana-2251	101	21	.	.	PUNCT
cana-2251	102	1	analyse	analyse	NOUN
cana-2251	102	2	protein	protein	NOUN
cana-2251	102	3	interactions	interaction	NOUN
cana-2251	102	4	to	to	PART
cana-2251	102	5	see	see	VERB
cana-2251	102	6	if	if	SCONJ
cana-2251	102	7	medicine	medicine	NOUN
cana-2251	102	8	can	can	AUX
cana-2251	102	9	lessen	lessen	VERB
cana-2251	102	10	disease	disease	NOUN
cana-2251	102	11	symptoms	symptom	NOUN
cana-2251	102	12	by	by	ADP
cana-2251	102	13	changing	change	VERB
cana-2251	102	14	protein	protein	NOUN
cana-2251	102	15	behaviour	behaviour	NOUN
cana-2251	102	16	.	.	PUNCT
cana-2251	103	1	after	after	SCONJ
cana-2251	103	2	the	the	DET
cana-2251	103	3	protein	protein	NOUN
cana-2251	103	4	-	-	PUNCT
cana-2251	103	5	ligand	ligand	NOUN
cana-2251	103	6	complex	complex	NOUN
cana-2251	103	7	was	be	AUX
cana-2251	103	8	developed	develop	VERB
cana-2251	103	9	,	,	PUNCT
cana-2251	103	10	data	datum	NOUN
cana-2251	103	11	was	be	AUX
cana-2251	103	12	collected	collect	VERB
cana-2251	103	13	and	and	CCONJ
cana-2251	103	14	categorized	categorize	VERB
cana-2251	103	15	into	into	ADP
cana-2251	103	16	three	three	NUM
cana-2251	103	17	categories	category	NOUN
cana-2251	103	18	:	:	PUNCT
cana-2251	103	19	interaction	interaction	NOUN
cana-2251	103	20	data	datum	NOUN
cana-2251	103	21	:	:	PUNCT
cana-2251	103	22	to	to	PART
cana-2251	103	23	determine	determine	VERB
cana-2251	103	24	ligand	ligand	ADJ
cana-2251	103	25	specificity	specificity	NOUN
cana-2251	103	26	and	and	CCONJ
cana-2251	103	27	binding	bind	VERB
cana-2251	103	28	affinities	affinity	NOUN
cana-2251	103	29	,	,	PUNCT
cana-2251	103	30	encode	encode	VERB
cana-2251	103	31	the	the	DET
cana-2251	103	32	type	type	NOUN
cana-2251	103	33	and	and	CCONJ
cana-2251	103	34	strength	strength	NOUN
cana-2251	103	35	of	of	ADP
cana-2251	103	36	chemical	chemical	NOUN
cana-2251	103	37	-	-	PUNCT
cana-2251	103	38	target	target	NOUN
cana-2251	103	39	protein	protein	NOUN
cana-2251	103	40	interactions	interaction	NOUN
cana-2251	103	41	.	.	PUNCT
cana-2251	104	1	these	these	DET
cana-2251	104	2	data	datum	NOUN
cana-2251	104	3	are	be	AUX
cana-2251	104	4	crucial	crucial	ADJ
cana-2251	104	5	when	when	SCONJ
cana-2251	104	6	predicting	predict	VERB
cana-2251	104	7	a	a	DET
cana-2251	104	8	drug	drug	NOUN
cana-2251	104	9	's	's	PART
cana-2251	104	10	target	target	NOUN
cana-2251	104	11	protein	protein	NOUN
cana-2251	104	12	activity	activity	NOUN
cana-2251	104	13	-	-	PUNCT
cana-2251	104	14	altering	alter	VERB
cana-2251	104	15	efficacy	efficacy	NOUN
cana-2251	104	16	.	.	PUNCT
cana-2251	105	1	small	small	ADJ
cana-2251	105	2	molecules	molecule	NOUN
cana-2251	105	3	information	information	NOUN
cana-2251	105	4	:	:	PUNCT
cana-2251	105	5	chemical	chemical	NOUN
cana-2251	105	6	properties	property	NOUN
cana-2251	105	7	affect	affect	VERB
cana-2251	105	8	a	a	DET
cana-2251	105	9	molecule	molecule	NOUN
cana-2251	105	10	's	's	PART
cana-2251	105	11	adme	adme	NOUN
cana-2251	105	12	profile	profile	NOUN
cana-2251	105	13	.	.	PUNCT
cana-2251	106	1	this	this	PRON
cana-2251	106	2	includes	include	VERB
cana-2251	106	3	solubility	solubility	NOUN
cana-2251	106	4	,	,	PUNCT
cana-2251	106	5	polar	polar	ADJ
cana-2251	106	6	surface	surface	NOUN
cana-2251	106	7	area	area	NOUN
cana-2251	106	8	,	,	PUNCT
cana-2251	106	9	charge	charge	NOUN
cana-2251	106	10	transfer	transfer	NOUN
cana-2251	106	11	,	,	PUNCT
cana-2251	106	12	and	and	CCONJ
cana-2251	106	13	other	other	ADJ
cana-2251	106	14	pharmacokinetic	pharmacokinetic	ADJ
cana-2251	106	15	variables.target	variables.target	PROPN
cana-2251	106	16	protein	protein	NOUN
cana-2251	106	17	:	:	PUNCT
cana-2251	106	18	data	datum	NOUN
cana-2251	106	19	contains	contain	VERB
cana-2251	106	20	structural	structural	ADJ
cana-2251	106	21	motifs	motif	NOUN
cana-2251	106	22	,	,	PUNCT
cana-2251	106	23	active	active	ADJ
cana-2251	106	24	binding	binding	ADJ
cana-2251	106	25	locations	location	NOUN
cana-2251	106	26	,	,	PUNCT
cana-2251	106	27	and	and	CCONJ
cana-2251	106	28	approved	approve	VERB
cana-2251	106	29	activators	activator	NOUN
cana-2251	106	30	and	and	CCONJ
cana-2251	106	31	inhibitors	inhibitor	NOUN
cana-2251	106	32	.	.	PUNCT
cana-2251	107	1	this	this	DET
cana-2251	107	2	information	information	NOUN
cana-2251	107	3	helps	help	VERB
cana-2251	107	4	the	the	DET
cana-2251	107	5	computer	computer	NOUN
cana-2251	107	6	identify	identify	VERB
cana-2251	107	7	protein	protein	NOUN
cana-2251	107	8	areas	area	NOUN
cana-2251	107	9	likely	likely	ADJ
cana-2251	107	10	to	to	PART
cana-2251	107	11	bind	bind	VERB
cana-2251	107	12	drugs	drug	NOUN
cana-2251	107	13	[	[	X
cana-2251	107	14	17	17	NUM
cana-2251	107	15	]	]	PUNCT
cana-2251	107	16	.	.	PUNCT
cana-2251	108	1	by	by	ADP
cana-2251	108	2	applying	apply	VERB
cana-2251	108	3	element	element	NOUN
cana-2251	108	4	-	-	PUNCT
cana-2251	108	5	specific	specific	ADJ
cana-2251	108	6	mathematical	mathematical	ADJ
cana-2251	108	7	representation	representation	NOUN
cana-2251	108	8	to	to	ADP
cana-2251	108	9	each	each	DET
cana-2251	108	10	data	datum	NOUN
cana-2251	108	11	type	type	NOUN
cana-2251	108	12	after	after	ADP
cana-2251	108	13	categorization	categorization	NOUN
cana-2251	108	14	,	,	PUNCT
cana-2251	108	15	we	we	PRON
cana-2251	108	16	may	may	AUX
cana-2251	108	17	prepare	prepare	VERB
cana-2251	108	18	them	they	PRON
cana-2251	108	19	for	for	ADP
cana-2251	108	20	machine	machine	NOUN
cana-2251	108	21	learning	learning	NOUN
cana-2251	108	22	.	.	PUNCT
cana-2251	109	1	numerical	numerical	ADJ
cana-2251	109	2	matrices	matrix	NOUN
cana-2251	109	3	and	and	CCONJ
cana-2251	109	4	vectors	vector	NOUN
cana-2251	109	5	are	be	AUX
cana-2251	109	6	created	create	VERB
cana-2251	109	7	using	use	VERB
cana-2251	109	8	interaction	interaction	NOUN
cana-2251	109	9	patterns	pattern	NOUN
cana-2251	109	10	,	,	PUNCT
cana-2251	109	11	chemical	chemical	NOUN
cana-2251	109	12	fingerprints	fingerprint	NOUN
cana-2251	109	13	,	,	PUNCT
cana-2251	109	14	and	and	CCONJ
cana-2251	109	15	protein	protein	NOUN
cana-2251	109	16	sequence	sequence	NOUN
cana-2251	109	17	data	datum	NOUN
cana-2251	109	18	.	.	PUNCT
cana-2251	110	1	this	this	PRON
cana-2251	110	2	helps	help	VERB
cana-2251	110	3	the	the	DET
cana-2251	110	4	neural	neural	ADJ
cana-2251	110	5	network	network	NOUN
cana-2251	110	6	process	process	NOUN
cana-2251	110	7	and	and	CCONJ
cana-2251	110	8	recognizes	recognize	VERB
cana-2251	110	9	crucial	crucial	ADJ
cana-2251	110	10	patterns	pattern	NOUN
cana-2251	110	11	.	.	PUNCT
cana-2251	111	1	simplifying	simplify	VERB
cana-2251	111	2	complex	complex	ADJ
cana-2251	111	3	biological	biological	ADJ
cana-2251	111	4	data	datum	NOUN
cana-2251	111	5	with	with	ADP
cana-2251	111	6	a	a	DET
cana-2251	111	7	mathematical	mathematical	ADJ
cana-2251	111	8	model	model	NOUN
cana-2251	111	9	simplifies	simplifie	NOUN
cana-2251	111	10	downstream	downstream	VERB
cana-2251	111	11	modelling	modelling	NOUN
cana-2251	111	12	.	.	PUNCT
cana-2251	112	1	communications	communication	NOUN
cana-2251	112	2	on	on	ADP
cana-2251	112	3	applied	apply	VERB
cana-2251	112	4	nonlinear	nonlinear	ADJ
cana-2251	112	5	analysis	analysis	NOUN
cana-2251	112	6	issn	issn	NOUN
cana-2251	112	7	:	:	PUNCT
cana-2251	112	8	1074	1074	NUM
cana-2251	112	9	-	-	PUNCT
cana-2251	112	10	133x	133x	NUM
cana-2251	112	11	vol	vol	NOUN
cana-2251	112	12	32	32	NUM
cana-2251	112	13	no	no	NOUN
cana-2251	112	14	.	.	PUNCT
cana-2251	113	1	2s	2s	NUM
cana-2251	113	2	(	(	PUNCT
cana-2251	113	3	2025	2025	NUM
cana-2251	113	4	)	)	PUNCT
cana-2251	113	5	68	68	NUM
cana-2251	113	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2251	113	7	fig	fig	NOUN
cana-2251	113	8	.	.	PUNCT
cana-2251	114	1	1	1	NUM
cana-2251	114	2	:	:	PUNCT
cana-2251	114	3	ec	ec	PROPN
cana-2251	114	4	-	-	PUNCT
cana-2251	114	5	hann	hann	PROPN
cana-2251	114	6	model	model	NOUN
cana-2251	114	7	the	the	DET
cana-2251	114	8	model	model	NOUN
cana-2251	114	9	optimizes	optimize	VERB
cana-2251	114	10	the	the	DET
cana-2251	114	11	hann	hann	PROPN
cana-2251	114	12	structure	structure	NOUN
cana-2251	114	13	and	and	CCONJ
cana-2251	114	14	hyper	hyper	ADJ
cana-2251	114	15	parameters	parameter	NOUN
cana-2251	114	16	using	use	VERB
cana-2251	114	17	evolutionary	evolutionary	ADJ
cana-2251	114	18	computing	computing	NOUN
cana-2251	114	19	.	.	PUNCT
cana-2251	115	1	this	this	PRON
cana-2251	115	2	is	be	AUX
cana-2251	115	3	the	the	DET
cana-2251	115	4	model	model	NOUN
cana-2251	115	5	's	's	PART
cana-2251	115	6	most	most	ADV
cana-2251	115	7	significant	significant	ADJ
cana-2251	115	8	innovation	innovation	NOUN
cana-2251	115	9	.	.	PUNCT
cana-2251	116	1	evolutionary	evolutionary	ADJ
cana-2251	116	2	computing	computing	NOUN
cana-2251	116	3	simulates	simulate	NOUN
cana-2251	116	4	natural	natural	ADJ
cana-2251	116	5	selection	selection	NOUN
cana-2251	116	6	by	by	ADP
cana-2251	116	7	repeatedly	repeatedly	ADV
cana-2251	116	8	altering	alter	VERB
cana-2251	116	9	the	the	DET
cana-2251	116	10	model	model	NOUN
cana-2251	116	11	to	to	PART
cana-2251	116	12	improve	improve	VERB
cana-2251	116	13	its	its	PRON
cana-2251	116	14	fitness	fitness	NOUN
cana-2251	116	15	function	function	NOUN
cana-2251	116	16	.	.	PUNCT
cana-2251	117	1	pso	pso	NOUN
cana-2251	117	2	neural	neural	ADJ
cana-2251	117	3	network	network	NOUN
cana-2251	117	4	configurations	configuration	NOUN
cana-2251	117	5	resemble	resemble	VERB
cana-2251	117	6	swarm	swarm	NOUN
cana-2251	117	7	particles	particle	NOUN
cana-2251	117	8	.	.	PUNCT
cana-2251	118	1	each	each	DET
cana-2251	118	2	particle	particle	NOUN
cana-2251	118	3	uses	use	VERB
cana-2251	118	4	its	its	PRON
cana-2251	118	5	own	own	ADJ
cana-2251	118	6	and	and	CCONJ
cana-2251	118	7	neighbours	neighbour	NOUN
cana-2251	118	8	'	'	PART
cana-2251	118	9	experiences	experience	NOUN
cana-2251	118	10	to	to	PART
cana-2251	118	11	travel	travel	VERB
cana-2251	118	12	the	the	DET
cana-2251	118	13	solution	solution	NOUN
cana-2251	118	14	space	space	NOUN
cana-2251	118	15	and	and	CCONJ
cana-2251	118	16	find	find	VERB
cana-2251	118	17	the	the	DET
cana-2251	118	18	best	good	ADJ
cana-2251	118	19	solution	solution	NOUN
cana-2251	118	20	.	.	PUNCT
cana-2251	119	1	to	to	PART
cana-2251	119	2	optimize	optimize	VERB
cana-2251	119	3	performance	performance	NOUN
cana-2251	119	4	,	,	PUNCT
cana-2251	119	5	pso	pso	NOUN
cana-2251	119	6	modifies	modify	VERB
cana-2251	119	7	the	the	DET
cana-2251	119	8	neural	neural	ADJ
cana-2251	119	9	network	network	NOUN
cana-2251	119	10	's	's	PART
cana-2251	119	11	architecture	architecture	NOUN
cana-2251	119	12	(	(	PUNCT
cana-2251	119	13	layer	layer	NOUN
cana-2251	119	14	count	count	NOUN
cana-2251	119	15	,	,	PUNCT
cana-2251	119	16	activation	activation	NOUN
cana-2251	119	17	function	function	NOUN
cana-2251	119	18	,	,	PUNCT
cana-2251	119	19	learning	learn	VERB
cana-2251	119	20	rate	rate	NOUN
cana-2251	119	21	,	,	PUNCT
cana-2251	119	22	and	and	CCONJ
cana-2251	119	23	hyper	hyper	ADJ
cana-2251	119	24	parameters	parameter	NOUN
cana-2251	119	25	like	like	ADP
cana-2251	119	26	batch	batch	NOUN
cana-2251	119	27	size	size	NOUN
cana-2251	119	28	and	and	CCONJ
cana-2251	119	29	optimization	optimization	NOUN
cana-2251	119	30	method	method	NOUN
cana-2251	119	31	)	)	PUNCT
cana-2251	119	32	.	.	PUNCT
cana-2251	120	1	performance	performance	NOUN
cana-2251	120	2	parameters	parameter	NOUN
cana-2251	120	3	,	,	PUNCT
cana-2251	120	4	including	include	VERB
cana-2251	120	5	prediction	prediction	NOUN
cana-2251	120	6	accuracy	accuracy	NOUN
cana-2251	120	7	,	,	PUNCT
cana-2251	120	8	processing	processing	NOUN
cana-2251	120	9	efficiency	efficiency	NOUN
cana-2251	120	10	,	,	PUNCT
cana-2251	120	11	and	and	CCONJ
cana-2251	120	12	approach	approach	NOUN
cana-2251	120	13	resilience	resilience	NOUN
cana-2251	120	14	,	,	PUNCT
cana-2251	120	15	determine	determine	VERB
cana-2251	120	16	the	the	DET
cana-2251	120	17	validity	validity	NOUN
cana-2251	120	18	of	of	ADP
cana-2251	120	19	any	any	DET
cana-2251	120	20	arrangement	arrangement	NOUN
cana-2251	120	21	.	.	PUNCT
cana-2251	121	1	this	this	DET
cana-2251	121	2	technique	technique	NOUN
cana-2251	121	3	dynamically	dynamically	ADV
cana-2251	121	4	changes	change	VERB
cana-2251	121	5	the	the	DET
cana-2251	121	6	hann	hann	NOUN
cana-2251	121	7	to	to	PART
cana-2251	121	8	meet	meet	VERB
cana-2251	121	9	each	each	DET
cana-2251	121	10	drug	drug	NOUN
cana-2251	121	11	discovery	discovery	NOUN
cana-2251	121	12	challenge	challenge	NOUN
cana-2251	121	13	,	,	PUNCT
cana-2251	121	14	making	make	VERB
cana-2251	121	15	the	the	DET
cana-2251	121	16	model	model	NOUN
cana-2251	121	17	more	more	ADV
cana-2251	121	18	efficient	efficient	ADJ
cana-2251	121	19	and	and	CCONJ
cana-2251	121	20	successful	successful	ADJ
cana-2251	121	21	.	.	PUNCT
cana-2251	122	1	the	the	DET
cana-2251	122	2	hann	hann	PROPN
cana-2251	122	3	module	module	NOUN
cana-2251	122	4	processes	process	VERB
cana-2251	122	5	various	various	ADJ
cana-2251	122	6	data	datum	NOUN
cana-2251	122	7	sources	source	NOUN
cana-2251	122	8	using	use	VERB
cana-2251	122	9	many	many	ADJ
cana-2251	122	10	cnns	cnn	NOUN
cana-2251	122	11	.	.	PUNCT
cana-2251	123	1	it	it	PRON
cana-2251	123	2	can	can	AUX
cana-2251	123	3	understand	understand	VERB
cana-2251	123	4	complex	complex	ADJ
cana-2251	123	5	chemical	chemical	NOUN
cana-2251	123	6	interactions	interaction	NOUN
cana-2251	123	7	and	and	CCONJ
cana-2251	123	8	three	three	NUM
cana-2251	123	9	-	-	PUNCT
cana-2251	123	10	dimensional	dimensional	ADJ
cana-2251	123	11	protein	protein	NOUN
cana-2251	123	12	structure	structure	NOUN
cana-2251	123	13	patterns	pattern	NOUN
cana-2251	123	14	since	since	SCONJ
cana-2251	123	15	the	the	DET
cana-2251	123	16	cnn	cnn	PROPN
cana-2251	123	17	component	component	NOUN
cana-2251	123	18	is	be	AUX
cana-2251	123	19	good	good	ADJ
cana-2251	123	20	at	at	ADP
cana-2251	123	21	extracting	extract	VERB
cana-2251	123	22	spatial	spatial	ADJ
cana-2251	123	23	properties	property	NOUN
cana-2251	123	24	.	.	PUNCT
cana-2251	124	1	cnns	cnns	PROPN
cana-2251	124	2	excel	excel	VERB
cana-2251	124	3	at	at	ADP
cana-2251	124	4	capturing	capture	VERB
cana-2251	124	5	spatial	spatial	ADJ
cana-2251	124	6	relationships	relationship	NOUN
cana-2251	124	7	between	between	ADP
cana-2251	124	8	things	thing	NOUN
cana-2251	124	9	.	.	PUNCT
cana-2251	125	1	it	it	PRON
cana-2251	125	2	includes	include	VERB
cana-2251	125	3	binding	binding	ADJ
cana-2251	125	4	sites	site	NOUN
cana-2251	125	5	,	,	PUNCT
cana-2251	125	6	hydrogen	hydrogen	NOUN
cana-2251	125	7	bonding	bonding	NOUN
cana-2251	125	8	patterns	pattern	NOUN
cana-2251	125	9	,	,	PUNCT
cana-2251	125	10	and	and	CCONJ
cana-2251	125	11	ligand	ligand	NOUN
cana-2251	125	12	-	-	PUNCT
cana-2251	125	13	receptor	receptor	NOUN
cana-2251	125	14	van	van	PROPN
cana-2251	125	15	der	der	NOUN
cana-2251	125	16	waals	waal	NOUN
cana-2251	125	17	forces.due	forces.due	X
cana-2251	125	18	to	to	ADP
cana-2251	125	19	cnns	cnns	PROPN
cana-2251	125	20	'	'	PART
cana-2251	125	21	temporal	temporal	ADJ
cana-2251	125	22	pattern	pattern	NOUN
cana-2251	125	23	recognition	recognition	NOUN
cana-2251	125	24	capabilities	capability	NOUN
cana-2251	125	25	,	,	PUNCT
cana-2251	125	26	the	the	DET
cana-2251	125	27	model	model	NOUN
cana-2251	125	28	can	can	AUX
cana-2251	125	29	handle	handle	VERB
cana-2251	125	30	sequential	sequential	ADJ
cana-2251	125	31	data	datum	NOUN
cana-2251	125	32	like	like	ADP
cana-2251	125	33	protein	protein	NOUN
cana-2251	125	34	conformation	conformation	NOUN
cana-2251	125	35	changes	change	NOUN
cana-2251	125	36	or	or	CCONJ
cana-2251	125	37	drug	drug	NOUN
cana-2251	125	38	-	-	PUNCT
cana-2251	125	39	protein	protein	NOUN
cana-2251	125	40	interactions	interaction	NOUN
cana-2251	125	41	.	.	PUNCT
cana-2251	126	1	the	the	DET
cana-2251	126	2	hybrid	hybrid	ADJ
cana-2251	126	3	cnn	cnn	PROPN
cana-2251	126	4	can	can	AUX
cana-2251	126	5	use	use	VERB
cana-2251	126	6	the	the	DET
cana-2251	126	7	best	good	ADJ
cana-2251	126	8	features	feature	NOUN
cana-2251	126	9	of	of	ADP
cana-2251	126	10	both	both	DET
cana-2251	126	11	cnns	cnn	NOUN
cana-2251	126	12	,	,	PUNCT
cana-2251	126	13	making	make	VERB
cana-2251	126	14	it	it	PRON
cana-2251	126	15	adaptable	adaptable	ADJ
cana-2251	126	16	for	for	ADP
cana-2251	126	17	studying	study	VERB
cana-2251	126	18	drug	drug	NOUN
cana-2251	126	19	-	-	PUNCT
cana-2251	126	20	protein	protein	NOUN
cana-2251	126	21	interactions	interaction	NOUN
cana-2251	126	22	.	.	PUNCT
cana-2251	127	1	the	the	DET
cana-2251	127	2	results	result	NOUN
cana-2251	127	3	from	from	ADP
cana-2251	127	4	the	the	DET
cana-2251	127	5	ec	ec	PROPN
cana-2251	127	6	-	-	PUNCT
cana-2251	127	7	hanns	hann	NOUN
cana-2251	127	8	module	module	NOUN
cana-2251	127	9	are	be	AUX
cana-2251	127	10	subsequently	subsequently	ADV
cana-2251	127	11	fed	feed	VERB
cana-2251	127	12	into	into	ADP
cana-2251	127	13	virtual	virtual	ADJ
cana-2251	127	14	screening	screening	NOUN
cana-2251	127	15	.	.	PUNCT
cana-2251	128	1	the	the	DET
cana-2251	128	2	computational	computational	ADJ
cana-2251	128	3	approach	approach	NOUN
cana-2251	128	4	quickly	quickly	ADV
cana-2251	128	5	evaluates	evaluate	VERB
cana-2251	128	6	several	several	ADJ
cana-2251	128	7	candidate	candidate	NOUN
cana-2251	128	8	compounds	compound	NOUN
cana-2251	128	9	to	to	PART
cana-2251	128	10	determine	determine	VERB
cana-2251	128	11	which	which	DET
cana-2251	128	12	ones	one	NOUN
cana-2251	128	13	have	have	VERB
cana-2251	128	14	the	the	DET
cana-2251	128	15	best	good	ADJ
cana-2251	128	16	chance	chance	NOUN
cana-2251	128	17	of	of	ADP
cana-2251	128	18	binding	bind	VERB
cana-2251	128	19	to	to	ADP
cana-2251	128	20	the	the	DET
cana-2251	128	21	target	target	NOUN
cana-2251	128	22	protein	protein	NOUN
cana-2251	128	23	.	.	PUNCT
cana-2251	129	1	virtual	virtual	ADJ
cana-2251	129	2	screening	screening	NOUN
cana-2251	129	3	is	be	AUX
cana-2251	129	4	a	a	DET
cana-2251	129	5	powerful	powerful	ADJ
cana-2251	129	6	tool	tool	NOUN
cana-2251	129	7	that	that	PRON
cana-2251	129	8	uses	use	VERB
cana-2251	129	9	the	the	DET
cana-2251	129	10	best	good	ADJ
cana-2251	129	11	hann	hann	PROPN
cana-2251	129	12	configurations	configuration	NOUN
cana-2251	129	13	to	to	PART
cana-2251	129	14	assess	assess	VERB
cana-2251	129	15	specific	specific	ADJ
cana-2251	129	16	molecules	molecule	NOUN
cana-2251	129	17	'	'	PART
cana-2251	129	18	binding	bind	VERB
cana-2251	129	19	capacity	capacity	NOUN
cana-2251	129	20	,	,	PUNCT
cana-2251	129	21	particularity	particularity	NOUN
cana-2251	129	22	,	,	PUNCT
cana-2251	129	23	and	and	CCONJ
cana-2251	129	24	adme	adme	NOUN
cana-2251	129	25	features	feature	VERB
cana-2251	129	26	[	[	X
cana-2251	129	27	20	20	NUM
cana-2251	129	28	]	]	PUNCT
cana-2251	129	29	.	.	PUNCT
cana-2251	130	1	time	time	NOUN
cana-2251	130	2	and	and	CCONJ
cana-2251	130	3	money	money	NOUN
cana-2251	130	4	spent	spend	VERB
cana-2251	130	5	on	on	ADP
cana-2251	130	6	conventional	conventional	ADJ
cana-2251	130	7	experimental	experimental	ADJ
cana-2251	130	8	screening	screening	NOUN
cana-2251	130	9	approaches	approach	NOUN
cana-2251	130	10	are	be	AUX
cana-2251	130	11	drastically	drastically	ADV
cana-2251	130	12	cut	cut	VERB
cana-2251	130	13	with	with	ADP
cana-2251	130	14	the	the	DET
cana-2251	130	15	suggested	suggest	VERB
cana-2251	130	16	frameworks	framework	NOUN
cana-2251	130	17	in	in	ADP
cana-2251	130	18	silico	silico	NOUN
cana-2251	130	19	drug	drug	NOUN
cana-2251	130	20	-	-	PUNCT
cana-2251	130	21	target	target	NOUN
cana-2251	130	22	interaction	interaction	NOUN
cana-2251	130	23	simulations	simulation	NOUN
cana-2251	130	24	.	.	PUNCT
cana-2251	131	1	3.2	3.2	NUM
cana-2251	131	2	.	.	PUNCT
cana-2251	131	3	evolutionary	evolutionary	ADJ
cana-2251	131	4	computing	computing	NOUN
cana-2251	131	5	model	model	NOUN
cana-2251	131	6	based	base	VERB
cana-2251	131	7	on	on	ADP
cana-2251	131	8	pso	pso	NOUN
cana-2251	131	9	the	the	DET
cana-2251	131	10	evolutionary	evolutionary	ADJ
cana-2251	131	11	computing	computing	NOUN
cana-2251	131	12	module	module	NOUN
cana-2251	131	13	of	of	ADP
cana-2251	131	14	the	the	DET
cana-2251	131	15	proposed	propose	VERB
cana-2251	131	16	model	model	NOUN
cana-2251	131	17	is	be	AUX
cana-2251	131	18	rooted	root	VERB
cana-2251	131	19	in	in	ADP
cana-2251	131	20	the	the	DET
cana-2251	131	21	optimization	optimization	NOUN
cana-2251	131	22	method	method	NOUN
cana-2251	131	23	assembled	assemble	VERB
cana-2251	131	24	with	with	ADP
cana-2251	131	25	the	the	DET
cana-2251	131	26	proposed	propose	VERB
cana-2251	131	27	model	model	NOUN
cana-2251	131	28	,	,	PUNCT
cana-2251	131	29	an	an	DET
cana-2251	131	30	ec	ec	PROPN
cana-2251	131	31	module	module	NOUN
cana-2251	131	32	based	base	VERB
cana-2251	131	33	on	on	ADP
cana-2251	131	34	the	the	DET
cana-2251	131	35	pso	pso	NOUN
cana-2251	131	36	optimization	optimization	NOUN
cana-2251	131	37	model	model	NOUN
cana-2251	131	38	.	.	PUNCT
cana-2251	132	1	similar	similar	ADJ
cana-2251	132	2	to	to	ADP
cana-2251	132	3	how	how	SCONJ
cana-2251	132	4	schools	school	NOUN
cana-2251	132	5	of	of	ADP
cana-2251	132	6	fish	fish	NOUN
cana-2251	132	7	or	or	CCONJ
cana-2251	132	8	birds	bird	NOUN
cana-2251	132	9	work	work	VERB
cana-2251	132	10	together	together	ADV
cana-2251	132	11	,	,	PUNCT
cana-2251	132	12	pso	pso	NOUN
cana-2251	132	13	uses	use	VERB
cana-2251	132	14	search	search	NOUN
cana-2251	132	15	spaces	space	NOUN
cana-2251	132	16	to	to	PART
cana-2251	132	17	find	find	VERB
cana-2251	132	18	the	the	DET
cana-2251	132	19	best	good	ADJ
cana-2251	132	20	solution	solution	NOUN
cana-2251	132	21	.	.	PUNCT
cana-2251	133	1	within	within	ADP
cana-2251	133	2	search	search	NOUN
cana-2251	133	3	space	space	NOUN
cana-2251	133	4	,	,	PUNCT
cana-2251	133	5	every	every	DET
cana-2251	133	6	particle	particle	NOUN
cana-2251	133	7	in	in	ADP
cana-2251	133	8	pso	pso	NOUN
cana-2251	133	9	stands	stand	VERB
cana-2251	133	10	for	for	ADP
cana-2251	133	11	a	a	DET
cana-2251	133	12	potential	potential	ADJ
cana-2251	133	13	structure	structure	NOUN
cana-2251	133	14	.	.	PUNCT
cana-2251	134	1	to	to	PART
cana-2251	134	2	better	well	ADV
cana-2251	134	3	handle	handle	VERB
cana-2251	134	4	the	the	DET
cana-2251	134	5	complicated	complicate	VERB
cana-2251	134	6	data	data	NOUN
cana-2251	134	7	sets	set	NOUN
cana-2251	134	8	associated	associate	VERB
cana-2251	134	9	with	with	ADP
cana-2251	134	10	protein	protein	NOUN
cana-2251	134	11	-	-	PUNCT
cana-2251	134	12	ligand	ligand	NOUN
cana-2251	134	13	connections	connection	NOUN
cana-2251	134	14	,	,	PUNCT
cana-2251	134	15	pso	pso	NOUN
cana-2251	134	16	optimizes	optimize	VERB
cana-2251	134	17	the	the	DET
cana-2251	134	18	hannarchitecture	hannarchitecture	NOUN
cana-2251	134	19	and	and	CCONJ
cana-2251	134	20	communications	communication	NOUN
cana-2251	134	21	on	on	ADP
cana-2251	134	22	applied	apply	VERB
cana-2251	134	23	nonlinear	nonlinear	ADJ
cana-2251	134	24	analysis	analysis	NOUN
cana-2251	134	25	issn	issn	NOUN
cana-2251	134	26	:	:	PUNCT
cana-2251	134	27	1074	1074	NUM
cana-2251	134	28	-	-	PUNCT
cana-2251	134	29	133x	133x	NUM
cana-2251	134	30	vol	vol	NOUN
cana-2251	134	31	32	32	NUM
cana-2251	134	32	no	no	NOUN
cana-2251	134	33	.	.	PUNCT
cana-2251	135	1	2s	2s	NUM
cana-2251	135	2	(	(	PUNCT
cana-2251	135	3	2025	2025	NUM
cana-2251	135	4	)	)	PUNCT
cana-2251	135	5	69	69	NUM
cana-2251	135	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2251	135	7	hyper	hyper	ADJ
cana-2251	135	8	parameters	parameter	NOUN
cana-2251	135	9	within	within	ADP
cana-2251	135	10	the	the	DET
cana-2251	135	11	context	context	NOUN
cana-2251	135	12	of	of	ADP
cana-2251	135	13	the	the	DET
cana-2251	135	14	suggested	suggest	VERB
cana-2251	135	15	paradigm	paradigm	NOUN
cana-2251	135	16	for	for	ADP
cana-2251	135	17	drug	drug	NOUN
cana-2251	135	18	discovery.identifying	discovery.identifye	VERB
cana-2251	135	19	every	every	DET
cana-2251	135	20	particle	particle	NOUN
cana-2251	135	21	as	as	ADP
cana-2251	135	22	a	a	DET
cana-2251	135	23	possible	possible	ADJ
cana-2251	135	24	hann	hann	NOUN
cana-2251	135	25	configuration	configuration	NOUN
cana-2251	135	26	is	be	AUX
cana-2251	135	27	the	the	DET
cana-2251	135	28	job	job	NOUN
cana-2251	135	29	of	of	ADP
cana-2251	135	30	the	the	DET
cana-2251	135	31	pso	pso	NOUN
cana-2251	135	32	algorithm	algorithm	NOUN
cana-2251	135	33	.	.	PUNCT
cana-2251	136	1	these	these	DET
cana-2251	136	2	configurations	configuration	NOUN
cana-2251	136	3	can	can	AUX
cana-2251	136	4	contain	contain	VERB
cana-2251	136	5	additional	additional	ADJ
cana-2251	136	6	features	feature	NOUN
cana-2251	136	7	,	,	PUNCT
cana-2251	136	8	such	such	ADJ
cana-2251	136	9	as	as	ADP
cana-2251	136	10	activation	activation	NOUN
cana-2251	136	11	functions	function	NOUN
cana-2251	136	12	,	,	PUNCT
cana-2251	136	13	batch	batch	NOUN
cana-2251	136	14	size	size	NOUN
cana-2251	136	15	,	,	PUNCT
cana-2251	136	16	learning	learn	VERB
cana-2251	136	17	rate	rate	NOUN
cana-2251	136	18	,	,	PUNCT
cana-2251	136	19	and	and	CCONJ
cana-2251	136	20	layer	layer	NOUN
cana-2251	136	21	count	count	NOUN
cana-2251	136	22	.	.	PUNCT
cana-2251	137	1	all	all	DET
cana-2251	137	2	things	thing	NOUN
cana-2251	137	3	being	be	AUX
cana-2251	137	4	equal	equal	ADJ
cana-2251	137	5	,	,	PUNCT
cana-2251	137	6	the	the	DET
cana-2251	137	7	particles	particle	NOUN
cana-2251	137	8	"	"	PUNCT
cana-2251	137	9	fly	fly	NOUN
cana-2251	137	10	"	"	PUNCT
cana-2251	137	11	around	around	ADP
cana-2251	137	12	the	the	DET
cana-2251	137	13	solution	solution	NOUN
cana-2251	137	14	at	at	ADP
cana-2251	137	15	various	various	ADJ
cana-2251	137	16	speeds	speed	NOUN
cana-2251	137	17	and	and	CCONJ
cana-2251	137	18	places	place	NOUN
cana-2251	137	19	.	.	PUNCT
cana-2251	138	1	in	in	ADP
cana-2251	138	2	the	the	DET
cana-2251	138	3	first	first	ADJ
cana-2251	138	4	iteration	iteration	NOUN
cana-2251	138	5	,	,	PUNCT
cana-2251	138	6	the	the	DET
cana-2251	138	7	location	location	NOUN
cana-2251	138	8	determines	determine	VERB
cana-2251	138	9	the	the	DET
cana-2251	138	10	exact	exact	ADJ
cana-2251	138	11	hann	hann	PROPN
cana-2251	138	12	configuration	configuration	NOUN
cana-2251	138	13	;	;	PUNCT
cana-2251	138	14	in	in	ADP
cana-2251	138	15	the	the	DET
cana-2251	138	16	subsequent	subsequent	ADJ
cana-2251	138	17	iterations	iteration	NOUN
cana-2251	138	18	,	,	PUNCT
cana-2251	138	19	the	the	DET
cana-2251	138	20	velocity	velocity	NOUN
cana-2251	138	21	determines	determine	VERB
cana-2251	138	22	how	how	SCONJ
cana-2251	138	23	that	that	DET
cana-2251	138	24	configuration	configuration	NOUN
cana-2251	138	25	should	should	AUX
cana-2251	138	26	develop.every	develop.every	NUM
cana-2251	138	27	possible	possible	ADJ
cana-2251	138	28	configuration	configuration	NOUN
cana-2251	138	29	of	of	ADP
cana-2251	138	30	particles	particle	NOUN
cana-2251	138	31	has	have	VERB
cana-2251	138	32	a	a	DET
cana-2251	138	33	fitness	fitness	NOUN
cana-2251	138	34	rating	rating	NOUN
cana-2251	138	35	that	that	PRON
cana-2251	138	36	indicates	indicate	VERB
cana-2251	138	37	how	how	SCONJ
cana-2251	138	38	efficiently	efficiently	ADV
cana-2251	138	39	it	it	PRON
cana-2251	138	40	finds	find	VERB
cana-2251	138	41	medicines	medicine	NOUN
cana-2251	138	42	.	.	PUNCT
cana-2251	139	1	several	several	ADJ
cana-2251	139	2	performance	performance	NOUN
cana-2251	139	3	metrics	metric	NOUN
cana-2251	139	4	,	,	PUNCT
cana-2251	139	5	including	include	VERB
cana-2251	139	6	computational	computational	ADJ
cana-2251	139	7	efficiency	efficiency	NOUN
cana-2251	139	8	,	,	PUNCT
cana-2251	139	9	model	model	NOUN
cana-2251	139	10	resilience	resilience	NOUN
cana-2251	139	11	,	,	PUNCT
cana-2251	139	12	and	and	CCONJ
cana-2251	139	13	prediction	prediction	NOUN
cana-2251	139	14	accuracy	accuracy	NOUN
cana-2251	139	15	,	,	PUNCT
cana-2251	139	16	are	be	AUX
cana-2251	139	17	used	use	VERB
cana-2251	139	18	to	to	PART
cana-2251	139	19	determine	determine	VERB
cana-2251	139	20	the	the	DET
cana-2251	139	21	fitness	fitness	NOUN
cana-2251	139	22	function	function	NOUN
cana-2251	139	23	of	of	ADP
cana-2251	139	24	this	this	DET
cana-2251	139	25	model	model	NOUN
cana-2251	139	26	.	.	PUNCT
cana-2251	140	1	each	each	DET
cana-2251	140	2	particle	particle	NOUN
cana-2251	140	3	primarily	primarily	ADV
cana-2251	140	4	monitors	monitor	VERB
cana-2251	140	5	two	two	NUM
cana-2251	140	6	factors	factor	NOUN
cana-2251	140	7	:	:	PUNCT
cana-2251	140	8	pbest	pb	ADJ
cana-2251	140	9	(	(	PUNCT
cana-2251	140	10	particlel	particlel	ADJ
cana-2251	140	11	best	good	ADJ
cana-2251	140	12	position	position	NOUN
cana-2251	140	13	)	)	PUNCT
cana-2251	140	14	and	and	CCONJ
cana-2251	140	15	gbest	gb	ADJ
cana-2251	140	16	(	(	PUNCT
cana-2251	140	17	global	global	ADJ
cana-2251	140	18	best	good	ADJ
cana-2251	140	19	position	position	NOUN
cana-2251	140	20	)	)	PUNCT
cana-2251	140	21	.	.	PUNCT
cana-2251	141	1	a	a	DET
cana-2251	141	2	swarm	swarm	NOUN
cana-2251	141	3	of	of	ADP
cana-2251	141	4	particles	particle	NOUN
cana-2251	141	5	is	be	AUX
cana-2251	141	6	first	first	ADV
cana-2251	141	7	initialized	initialize	VERB
cana-2251	141	8	randomly	randomly	ADV
cana-2251	141	9	,	,	PUNCT
cana-2251	141	10	with	with	ADP
cana-2251	141	11	an	an	DET
cana-2251	141	12	individual	individual	ADJ
cana-2251	141	13	setup	setup	NOUN
cana-2251	141	14	of	of	ADP
cana-2251	141	15	the	the	DET
cana-2251	141	16	hann	hann	PROPN
cana-2251	141	17	allocated	allocate	VERB
cana-2251	141	18	to	to	ADP
cana-2251	141	19	each	each	DET
cana-2251	141	20	particle	particle	NOUN
cana-2251	141	21	.	.	PUNCT
cana-2251	142	1	layer	layer	NOUN
cana-2251	142	2	count	count	PROPN
cana-2251	142	3	,	,	PUNCT
cana-2251	142	4	neuron	neuron	NOUN
cana-2251	142	5	density	density	NOUN
cana-2251	142	6	,	,	PUNCT
cana-2251	142	7	and	and	CCONJ
cana-2251	142	8	other	other	ADJ
cana-2251	142	9	characteristics	characteristic	NOUN
cana-2251	142	10	might	might	AUX
cana-2251	142	11	change	change	VERB
cana-2251	142	12	in	in	ADP
cana-2251	142	13	the	the	DET
cana-2251	142	14	beginning	beginning	NOUN
cana-2251	142	15	configurations	configuration	NOUN
cana-2251	142	16	.	.	PUNCT
cana-2251	143	1	next	next	ADV
cana-2251	143	2	,	,	PUNCT
cana-2251	143	3	initialize	initialize	VERB
cana-2251	143	4	the	the	DET
cana-2251	143	5	solution	solution	NOUN
cana-2251	143	6	space	space	NOUN
cana-2251	143	7	with	with	ADP
cana-2251	143	8	each	each	DET
cana-2251	143	9	particle	particle	NOUN
cana-2251	143	10	's	's	PART
cana-2251	143	11	arbitrary	arbitrary	ADJ
cana-2251	143	12	location	location	NOUN
cana-2251	143	13	and	and	CCONJ
cana-2251	143	14	velocity	velocity	NOUN
cana-2251	143	15	.	.	PUNCT
cana-2251	144	1	a	a	DET
cana-2251	144	2	fitness	fitness	NOUN
cana-2251	144	3	function	function	NOUN
cana-2251	144	4	is	be	AUX
cana-2251	144	5	selected	select	VERB
cana-2251	144	6	,	,	PUNCT
cana-2251	144	7	and	and	CCONJ
cana-2251	144	8	each	each	DET
cana-2251	144	9	particle	particle	NOUN
cana-2251	144	10	's	's	PART
cana-2251	144	11	fitness	fitness	NOUN
cana-2251	144	12	is	be	AUX
cana-2251	144	13	assessed	assess	VERB
cana-2251	144	14	using	use	VERB
cana-2251	144	15	it	it	PRON
cana-2251	144	16	.	.	PUNCT
cana-2251	145	1	this	this	DET
cana-2251	145	2	fitness	fitness	NOUN
cana-2251	145	3	function	function	NOUN
cana-2251	145	4	is	be	AUX
cana-2251	145	5	developed	develop	VERB
cana-2251	145	6	to	to	PART
cana-2251	145	7	capture	capture	VERB
cana-2251	145	8	the	the	DET
cana-2251	145	9	computational	computational	ADJ
cana-2251	145	10	efficiency	efficiency	NOUN
cana-2251	145	11	and	and	CCONJ
cana-2251	145	12	accuracy	accuracy	NOUN
cana-2251	145	13	of	of	ADP
cana-2251	145	14	the	the	DET
cana-2251	145	15	hann	hann	PROPN
cana-2251	145	16	configuration	configuration	NOUN
cana-2251	145	17	in	in	ADP
cana-2251	145	18	predicting	predict	VERB
cana-2251	145	19	protein	protein	NOUN
cana-2251	145	20	-	-	PUNCT
cana-2251	145	21	ligand	ligand	NOUN
cana-2251	145	22	interactions	interaction	NOUN
cana-2251	145	23	within	within	ADP
cana-2251	145	24	the	the	DET
cana-2251	145	25	context	context	NOUN
cana-2251	145	26	of	of	ADP
cana-2251	145	27	drug	drug	NOUN
cana-2251	145	28	discovery	discovery	NOUN
cana-2251	145	29	.	.	PUNCT
cana-2251	146	1	for	for	ADP
cana-2251	146	2	drug	drug	NOUN
cana-2251	146	3	development	development	NOUN
cana-2251	146	4	,	,	PUNCT
cana-2251	146	5	the	the	DET
cana-2251	146	6	fitness	fitness	NOUN
cana-2251	146	7	value	value	NOUN
cana-2251	146	8	helps	help	VERB
cana-2251	146	9	gauge	gauge	VERB
cana-2251	146	10	how	how	SCONJ
cana-2251	146	11	"	"	PUNCT
cana-2251	146	12	excellent	excellent	ADJ
cana-2251	146	13	"	"	PUNCT
cana-2251	146	14	a	a	DET
cana-2251	146	15	specific	specific	ADJ
cana-2251	146	16	hann	hann	NOUN
cana-2251	146	17	configuration	configuration	NOUN
cana-2251	146	18	is	be	AUX
cana-2251	146	19	at	at	ADP
cana-2251	146	20	modelling	model	VERB
cana-2251	146	21	complicated	complicated	ADJ
cana-2251	146	22	data	datum	NOUN
cana-2251	146	23	.	.	PUNCT
cana-2251	147	1	when	when	SCONJ
cana-2251	147	2	the	the	DET
cana-2251	147	3	fitness	fitness	NOUN
cana-2251	147	4	evaluation	evaluation	NOUN
cana-2251	147	5	is	be	AUX
cana-2251	147	6	complete	complete	ADJ
cana-2251	147	7	,	,	PUNCT
cana-2251	147	8	if	if	SCONJ
cana-2251	147	9	the	the	DET
cana-2251	147	10	present	present	ADJ
cana-2251	147	11	configuration	configuration	NOUN
cana-2251	147	12	outperforms	outperform	VERB
cana-2251	147	13	all	all	DET
cana-2251	147	14	prior	prior	ADJ
cana-2251	147	15	configurations	configuration	NOUN
cana-2251	147	16	,	,	PUNCT
cana-2251	147	17	each	each	DET
cana-2251	147	18	particle	particle	NOUN
cana-2251	147	19	updates	update	VERB
cana-2251	147	20	its	its	PRON
cana-2251	147	21	pbest	pb	ADJ
cana-2251	147	22	accordingly	accordingly	ADV
cana-2251	147	23	.	.	PUNCT
cana-2251	148	1	the	the	DET
cana-2251	148	2	swarm	swarm	NOUN
cana-2251	148	3	also	also	ADV
cana-2251	148	4	updates	update	VERB
cana-2251	148	5	gbest	gbest	VERB
cana-2251	148	6	to	to	PART
cana-2251	148	7	reflect	reflect	VERB
cana-2251	148	8	the	the	DET
cana-2251	148	9	optimal	optimal	ADJ
cana-2251	148	10	configuration	configuration	NOUN
cana-2251	148	11	for	for	ADP
cana-2251	148	12	all	all	PRON
cana-2251	148	13	particles.updating	particles.update	VERB
cana-2251	148	14	the	the	DET
cana-2251	148	15	position	position	NOUN
cana-2251	148	16	and	and	CCONJ
cana-2251	148	17	velocity	velocity	NOUN
cana-2251	148	18	of	of	ADP
cana-2251	148	19	each	each	DET
cana-2251	148	20	particle	particle	NOUN
cana-2251	148	21	is	be	AUX
cana-2251	148	22	the	the	DET
cana-2251	148	23	central	central	ADJ
cana-2251	148	24	mechanism	mechanism	NOUN
cana-2251	148	25	of	of	ADP
cana-2251	148	26	pso	pso	NOUN
cana-2251	148	27	.	.	PUNCT
cana-2251	149	1	there	there	PRON
cana-2251	149	2	are	be	VERB
cana-2251	149	3	three	three	NUM
cana-2251	149	4	primary	primary	ADJ
cana-2251	149	5	sources	source	NOUN
cana-2251	149	6	of	of	ADP
cana-2251	149	7	information	information	NOUN
cana-2251	149	8	on	on	ADP
cana-2251	149	9	a	a	DET
cana-2251	149	10	particle	particle	NOUN
cana-2251	149	11	's	's	PART
cana-2251	149	12	speed	speed	NOUN
cana-2251	149	13	:	:	PUNCT
cana-2251	149	14	the	the	DET
cana-2251	149	15	part	part	NOUN
cana-2251	149	16	of	of	ADP
cana-2251	149	17	inertia	inertia	NOUN
cana-2251	149	18	that	that	PRON
cana-2251	149	19	keeps	keep	VERB
cana-2251	149	20	some	some	DET
cana-2251	149	21	momentum	momentum	NOUN
cana-2251	149	22	from	from	ADP
cana-2251	149	23	the	the	DET
cana-2251	149	24	last	last	ADJ
cana-2251	149	25	step	step	NOUN
cana-2251	149	26	is	be	AUX
cana-2251	149	27	the	the	DET
cana-2251	149	28	current	current	ADJ
cana-2251	149	29	velocity	velocity	NOUN
cana-2251	149	30	.	.	PUNCT
cana-2251	150	1	attraction	attraction	NOUN
cana-2251	150	2	of	of	ADP
cana-2251	150	3	the	the	DET
cana-2251	150	4	particle	particle	NOUN
cana-2251	150	5	to	to	ADP
cana-2251	150	6	its	its	PRON
cana-2251	150	7	optimal	optimal	ADJ
cana-2251	150	8	position	position	NOUN
cana-2251	150	9	(	(	PUNCT
cana-2251	150	10	pbest	pbest	NOUN
cana-2251	150	11	)	)	PUNCT
cana-2251	150	12	is	be	AUX
cana-2251	150	13	a	a	DET
cana-2251	150	14	cognitive	cognitive	ADJ
cana-2251	150	15	component	component	NOUN
cana-2251	150	16	.	.	PUNCT
cana-2251	151	1	the	the	DET
cana-2251	151	2	social	social	ADJ
cana-2251	151	3	component	component	NOUN
cana-2251	151	4	is	be	AUX
cana-2251	151	5	the	the	DET
cana-2251	151	6	particle	particle	NOUN
cana-2251	151	7	's	's	PART
cana-2251	151	8	drawnness	drawnness	NOUN
cana-2251	151	9	to	to	ADP
cana-2251	151	10	the	the	DET
cana-2251	151	11	swarm	swarm	NOUN
cana-2251	151	12	's	's	PART
cana-2251	151	13	best	good	ADJ
cana-2251	151	14	global	global	ADJ
cana-2251	151	15	position	position	NOUN
cana-2251	151	16	(	(	PUNCT
cana-2251	151	17	gbest	gbest	NOUN
cana-2251	151	18	)	)	PUNCT
cana-2251	151	19	.	.	PUNCT
cana-2251	152	1	the	the	DET
cana-2251	152	2	velocity	velocity	NOUN
cana-2251	152	3	update	update	NOUN
cana-2251	152	4	position	position	NOUN
cana-2251	152	5	of	of	ADP
cana-2251	152	6	the	the	DET
cana-2251	152	7	equation	equation	NOUN
cana-2251	152	8	is	be	AUX
cana-2251	152	9	given	give	VERB
cana-2251	152	10	in	in	ADP
cana-2251	152	11	equation	equation	NOUN
cana-2251	152	12	1	1	NUM
cana-2251	152	13	.	.	NOUN
cana-2251	152	14	𝑣𝑖(𝑡	𝑣𝑖(𝑡	NUM
cana-2251	152	15	+	+	CCONJ
cana-2251	152	16	1	1	X
cana-2251	152	17	)	)	PUNCT
cana-2251	152	18	=	=	PUNCT
cana-2251	152	19	𝜔.	𝜔.	NOUN
cana-2251	152	20	𝑣𝑖(𝑡	𝑣𝑖(𝑡	NUM
cana-2251	152	21	)	)	PUNCT
cana-2251	153	1	+	+	CCONJ
cana-2251	153	2	𝑐1	𝑐1	NOUN
cana-2251	153	3	.	.	PUNCT
cana-2251	154	1	𝑟1(𝑝𝑏𝑒𝑠𝑡𝑖	𝑟1(𝑝𝑏𝑒𝑠𝑡𝑖	NOUN
cana-2251	154	2	−	−	PROPN
cana-2251	154	3	𝑥𝑖(𝑡	𝑥𝑖(𝑡	PUNCT
cana-2251	154	4	)	)	PUNCT
cana-2251	155	1	+	+	NUM
cana-2251	155	2	𝑐2	𝑐2	NOUN
cana-2251	155	3	.	.	PUNCT
cana-2251	156	1	𝑟2(𝐺𝑏𝑒𝑠𝑡𝑖	𝑟2(𝐺𝑏𝑒𝑠𝑡𝑖	PROPN
cana-2251	157	1	−	−	ADP
cana-2251	158	1	𝑥𝑖(𝑡))(1	𝑥𝑖(𝑡))(1	NUM
cana-2251	158	2	)	)	PUNCT
cana-2251	158	3	where	where	SCONJ
cana-2251	158	4	𝑣𝑖(𝑡)the	𝑣𝑖(𝑡)the	DET
cana-2251	158	5	current	current	ADJ
cana-2251	158	6	velocity	velocity	NOUN
cana-2251	158	7	of	of	ADP
cana-2251	158	8	the	the	DET
cana-2251	158	9	particle	particle	NOUN
cana-2251	158	10	is	be	AUX
cana-2251	158	11	,	,	PUNCT
cana-2251	158	12	𝑥𝑖(𝑡)denotes	𝑥𝑖(𝑡)denote	VERB
cana-2251	158	13	the	the	DET
cana-2251	158	14	current	current	ADJ
cana-2251	158	15	position	position	NOUN
cana-2251	158	16	of	of	ADP
cana-2251	158	17	the	the	DET
cana-2251	158	18	particle	particle	NOUN
cana-2251	158	19	,	,	PUNCT
cana-2251	158	20	𝜔	𝜔	X
cana-2251	158	21	is	be	AUX
cana-2251	158	22	the	the	DET
cana-2251	158	23	inertia	inertia	NOUN
cana-2251	158	24	weight,𝑐1	weight,𝑐1	PROPN
cana-2251	158	25	and	and	CCONJ
cana-2251	158	26	𝑐2is	𝑐2is	PUNCT
cana-2251	158	27	the	the	DET
cana-2251	158	28	cognitive	cognitive	ADJ
cana-2251	158	29	and	and	CCONJ
cana-2251	158	30	social	social	ADJ
cana-2251	158	31	coefficients	coefficient	NOUN
cana-2251	158	32	,	,	PUNCT
cana-2251	158	33	and	and	CCONJ
cana-2251	158	34	r	r	NOUN
cana-2251	158	35	is	be	AUX
cana-2251	158	36	the	the	DET
cana-2251	158	37	random	random	ADJ
cana-2251	158	38	value	value	NOUN
cana-2251	158	39	between	between	ADP
cana-2251	158	40	0	0	NUM
cana-2251	158	41	and	and	CCONJ
cana-2251	158	42	1.the	1.the	DET
cana-2251	158	43	updated	update	VERB
cana-2251	158	44	position	position	NOUN
cana-2251	158	45	of	of	ADP
cana-2251	158	46	the	the	DET
cana-2251	158	47	particle	particle	NOUN
cana-2251	158	48	is	be	AUX
cana-2251	158	49	included	include	VERB
cana-2251	158	50	in	in	ADP
cana-2251	158	51	equation	equation	NOUN
cana-2251	158	52	2	2	NUM
cana-2251	158	53	𝑥𝑖(𝑡	𝑥𝑖(𝑡	NUM
cana-2251	158	54	+	+	NUM
cana-2251	158	55	1	1	X
cana-2251	158	56	)	)	PUNCT
cana-2251	158	57	=	=	NOUN
cana-2251	158	58	𝑥𝑖(𝑡	𝑥𝑖(𝑡	PUNCT
cana-2251	158	59	)	)	PUNCT
cana-2251	158	60	+	+	NUM
cana-2251	158	61	𝑣𝑖(𝑡	𝑣𝑖(𝑡	NUM
cana-2251	158	62	+	+	SYM
cana-2251	158	63	1	1	NUM
cana-2251	158	64	)	)	PUNCT
cana-2251	158	65	(	(	PUNCT
cana-2251	158	66	2	2	X
cana-2251	158	67	)	)	PUNCT
cana-2251	158	68	each	each	DET
cana-2251	158	69	iteration	iteration	NOUN
cana-2251	158	70	consists	consist	VERB
cana-2251	158	71	of	of	ADP
cana-2251	158	72	carrying	carry	VERB
cana-2251	158	73	out	out	ADP
cana-2251	158	74	the	the	DET
cana-2251	158	75	previous	previous	ADJ
cana-2251	158	76	one	one	NUM
cana-2251	158	77	until	until	SCONJ
cana-2251	158	78	some	some	DET
cana-2251	158	79	termination	termination	NOUN
cana-2251	158	80	requirement	requirement	NOUN
cana-2251	158	81	is	be	AUX
cana-2251	158	82	satisfied	satisfied	ADJ
cana-2251	158	83	,	,	PUNCT
cana-2251	158	84	like	like	ADP
cana-2251	158	85	a	a	DET
cana-2251	158	86	certain	certain	ADJ
cana-2251	158	87	number	number	NOUN
cana-2251	158	88	of	of	ADP
cana-2251	158	89	iterations	iteration	NOUN
cana-2251	158	90	or	or	CCONJ
cana-2251	158	91	a	a	DET
cana-2251	158	92	reasonable	reasonable	ADJ
cana-2251	158	93	fitness	fitness	NOUN
cana-2251	158	94	value	value	NOUN
cana-2251	158	95	.	.	PUNCT
cana-2251	159	1	in	in	ADP
cana-2251	159	2	each	each	DET
cana-2251	159	3	iteration	iteration	NOUN
cana-2251	159	4	,	,	PUNCT
cana-2251	159	5	particles	particle	NOUN
cana-2251	159	6	try	try	VERB
cana-2251	159	7	out	out	ADP
cana-2251	159	8	various	various	ADJ
cana-2251	159	9	hann	hann	PROPN
cana-2251	159	10	configurations	configuration	NOUN
cana-2251	159	11	until	until	SCONJ
cana-2251	159	12	they	they	PRON
cana-2251	159	13	find	find	VERB
cana-2251	159	14	one	one	NUM
cana-2251	159	15	that	that	PRON
cana-2251	159	16	works	work	VERB
cana-2251	159	17	best	well	ADV
cana-2251	159	18	regarding	regard	VERB
cana-2251	159	19	prediction	prediction	NOUN
cana-2251	159	20	accuracy	accuracy	NOUN
cana-2251	159	21	and	and	CCONJ
cana-2251	159	22	processing	processing	NOUN
cana-2251	159	23	overhead	overhead	NOUN
cana-2251	159	24	.	.	PUNCT
cana-2251	160	1	gbest	gbest	PROPN
cana-2251	160	2	is	be	AUX
cana-2251	160	3	the	the	DET
cana-2251	160	4	recommended	recommend	VERB
cana-2251	160	5	hann	hann	PROPN
cana-2251	160	6	setup	setup	NOUN
cana-2251	160	7	by	by	ADP
cana-2251	160	8	the	the	DET
cana-2251	160	9	pso	pso	NOUN
cana-2251	160	10	algorithm	algorithm	NOUN
cana-2251	160	11	after	after	ADP
cana-2251	160	12	convergence	convergence	NOUN
cana-2251	160	13	.	.	PUNCT
cana-2251	161	1	the	the	DET
cana-2251	161	2	pharmacological	pharmacological	ADJ
cana-2251	161	3	discovery	discovery	NOUN
cana-2251	161	4	process	process	NOUN
cana-2251	161	5	uses	use	VERB
cana-2251	161	6	this	this	DET
cana-2251	161	7	arrangement	arrangement	NOUN
cana-2251	161	8	as	as	ADP
cana-2251	161	9	its	its	PRON
cana-2251	161	10	final	final	ADJ
cana-2251	161	11	architecture	architecture	NOUN
cana-2251	161	12	for	for	ADP
cana-2251	161	13	the	the	DET
cana-2251	161	14	hybrid	hybrid	ADJ
cana-2251	161	15	neural	neural	ADJ
cana-2251	161	16	network	network	NOUN
cana-2251	161	17	.	.	PUNCT
cana-2251	162	1	the	the	DET
cana-2251	162	2	suggested	suggest	VERB
cana-2251	162	3	methodology	methodology	NOUN
cana-2251	162	4	uses	use	VERB
cana-2251	162	5	pso	pso	NOUN
cana-2251	162	6	to	to	PART
cana-2251	162	7	set	set	VERB
cana-2251	162	8	up	up	ADP
cana-2251	162	9	the	the	DET
cana-2251	162	10	appropriate	appropriate	ADJ
cana-2251	162	11	hann	hann	PROPN
cana-2251	162	12	configuration	configuration	NOUN
cana-2251	162	13	to	to	PART
cana-2251	162	14	accelerate	accelerate	VERB
cana-2251	162	15	drug	drug	NOUN
cana-2251	162	16	discovery	discovery	NOUN
cana-2251	162	17	and	and	CCONJ
cana-2251	162	18	increase	increase	VERB
cana-2251	162	19	the	the	DET
cana-2251	162	20	likelihood	likelihood	NOUN
cana-2251	162	21	of	of	ADP
cana-2251	162	22	finding	find	VERB
cana-2251	162	23	viable	viable	ADJ
cana-2251	162	24	therapeutic	therapeutic	ADJ
cana-2251	162	25	candidates	candidate	NOUN
cana-2251	162	26	.	.	PUNCT
cana-2251	163	1	communications	communication	NOUN
cana-2251	163	2	on	on	ADP
cana-2251	163	3	applied	apply	VERB
cana-2251	163	4	nonlinear	nonlinear	ADJ
cana-2251	163	5	analysis	analysis	NOUN
cana-2251	163	6	issn	issn	NOUN
cana-2251	163	7	:	:	PUNCT
cana-2251	163	8	1074	1074	NUM
cana-2251	163	9	-	-	PUNCT
cana-2251	163	10	133x	133x	NUM
cana-2251	163	11	vol	vol	NOUN
cana-2251	163	12	32	32	NUM
cana-2251	163	13	no	no	NOUN
cana-2251	163	14	.	.	PUNCT
cana-2251	164	1	2s	2s	NUM
cana-2251	164	2	(	(	PUNCT
cana-2251	164	3	2025	2025	NUM
cana-2251	164	4	)	)	PUNCT
cana-2251	164	5	70	70	NUM
cana-2251	164	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2251	164	7	algorithm	algorithm	NOUN
cana-2251	164	8	of	of	ADP
cana-2251	164	9	pso	pso	NOUN
cana-2251	164	10	in	in	ADP
cana-2251	164	11	ec	ec	PROPN
cana-2251	164	12	-	-	PUNCT
cana-2251	164	13	hann	hann	PROPN
cana-2251	164	14	1	1	NUM
cana-2251	164	15	.	.	PUNCT
cana-2251	164	16	initialize	initialize	VERB
cana-2251	164	17	the	the	DET
cana-2251	164	18	swarm	swarm	NOUN
cana-2251	164	19	by	by	ADP
cana-2251	164	20	populating	populate	VERB
cana-2251	164	21	it	it	PRON
cana-2251	164	22	with	with	ADP
cana-2251	164	23	particles	particle	NOUN
cana-2251	164	24	and	and	CCONJ
cana-2251	164	25	giving	give	VERB
cana-2251	164	26	them	they	PRON
cana-2251	164	27	random	random	ADJ
cana-2251	164	28	speeds	speed	NOUN
cana-2251	164	29	and	and	CCONJ
cana-2251	164	30	locations	location	NOUN
cana-2251	164	31	in	in	ADP
cana-2251	164	32	the	the	DET
cana-2251	164	33	solution	solution	NOUN
cana-2251	164	34	space	space	NOUN
cana-2251	164	35	.	.	PUNCT
cana-2251	165	1	2	2	X
cana-2251	165	2	.	.	X
cana-2251	165	3	utilize	utilize	VERB
cana-2251	165	4	the	the	DET
cana-2251	165	5	objective	objective	ADJ
cana-2251	165	6	function	function	NOUN
cana-2251	165	7	to	to	PART
cana-2251	165	8	assess	assess	VERB
cana-2251	165	9	the	the	DET
cana-2251	165	10	fitness	fitness	NOUN
cana-2251	165	11	of	of	ADP
cana-2251	165	12	every	every	DET
cana-2251	165	13	particle	particle	NOUN
cana-2251	165	14	.	.	PUNCT
cana-2251	166	1	3	3	X
cana-2251	166	2	.	.	X
cana-2251	166	3	the	the	DET
cana-2251	166	4	𝑝𝑏𝑒𝑠𝑡𝑖	𝑝𝑏𝑒𝑠𝑡𝑖	NOUN
cana-2251	166	5	and	and	CCONJ
cana-2251	166	6	fitness	fitness	NOUN
cana-2251	166	7	of	of	ADP
cana-2251	166	8	each	each	DET
cana-2251	166	9	particle	particle	NOUN
cana-2251	166	10	should	should	AUX
cana-2251	166	11	be	be	AUX
cana-2251	166	12	updated	update	VERB
cana-2251	166	13	if	if	SCONJ
cana-2251	166	14	their	their	PRON
cana-2251	166	15	current	current	ADJ
cana-2251	166	16	fitness	fitness	NOUN
cana-2251	166	17	is	be	AUX
cana-2251	166	18	better	well	ADJ
cana-2251	166	19	than	than	ADP
cana-2251	166	20	their	their	PRON
cana-2251	166	21	previous	previous	ADJ
cana-2251	166	22	best	good	ADJ
cana-2251	166	23	.	.	PUNCT
cana-2251	167	1	4	4	X
cana-2251	167	2	.	.	X
cana-2251	167	3	determine	determine	VERB
cana-2251	167	4	which	which	DET
cana-2251	167	5	swarm	swarm	NOUN
cana-2251	167	6	particle	particle	NOUN
cana-2251	167	7	is	be	AUX
cana-2251	167	8	the	the	DET
cana-2251	167	9	most	most	ADV
cana-2251	167	10	fit	fit	ADJ
cana-2251	167	11	,	,	PUNCT
cana-2251	167	12	and	and	CCONJ
cana-2251	167	13	then	then	ADV
cana-2251	167	14	modify	modify	VERB
cana-2251	167	15	𝐺𝑏𝑒𝑠𝑡𝑖	𝐺𝑏𝑒𝑠𝑡𝑖	PROPN
cana-2251	167	16	and	and	CCONJ
cana-2251	167	17	fitness	fitness	NOUN
cana-2251	167	18	accordingly	accordingly	ADV
cana-2251	167	19	.	.	PUNCT
cana-2251	168	1	5	5	X
cana-2251	168	2	.	.	X
cana-2251	168	3	for	for	ADP
cana-2251	168	4	each	each	DET
cana-2251	168	5	particle	particle	NOUN
cana-2251	168	6	update	update	NOUN
cana-2251	168	7	the	the	DET
cana-2251	168	8	velocity	velocity	NOUN
cana-2251	168	9	using	use	VERB
cana-2251	168	10	equation	equation	NOUN
cana-2251	168	11	1	1	NUM
cana-2251	168	12	.	.	NOUN
cana-2251	168	13	6	6	NUM
cana-2251	168	14	.	.	X
cana-2251	168	15	update	update	VERB
cana-2251	168	16	the	the	DET
cana-2251	168	17	position	position	NOUN
cana-2251	168	18	of	of	ADP
cana-2251	168	19	the	the	DET
cana-2251	168	20	particle	particle	NOUN
cana-2251	168	21	:	:	PUNCT
cana-2251	168	22	𝑥𝑛𝑒𝑤	𝑥𝑛𝑒𝑤	NOUN
cana-2251	168	23	=	=	PRON
cana-2251	168	24	𝑥𝑜𝑙𝑑	𝑥𝑜𝑙𝑑	VERB
cana-2251	168	25	+	+	CCONJ
cana-2251	168	26	𝑣𝑛𝑒𝑤	𝑣𝑛𝑒𝑤	NOUN
cana-2251	168	27	7	7	NUM
cana-2251	168	28	.	.	PUNCT
cana-2251	168	29	proceed	proceed	VERB
cana-2251	168	30	with	with	ADP
cana-2251	168	31	steps	step	NOUN
cana-2251	168	32	2–6	2–6	NUM
cana-2251	168	33	until	until	SCONJ
cana-2251	168	34	you	you	PRON
cana-2251	168	35	reach	reach	VERB
cana-2251	168	36	the	the	DET
cana-2251	168	37	maximum	maximum	ADJ
cana-2251	168	38	iterations	iteration	NOUN
cana-2251	168	39	or	or	CCONJ
cana-2251	168	40	meet	meet	VERB
cana-2251	168	41	the	the	DET
cana-2251	168	42	convergence	convergence	NOUN
cana-2251	168	43	criteria	criterion	NOUN
cana-2251	168	44	.	.	PUNCT
cana-2251	169	1	then	then	ADV
cana-2251	169	2	,	,	PUNCT
cana-2251	169	3	set	set	VERB
cana-2251	169	4	the	the	DET
cana-2251	169	5	𝐺𝑏𝑒𝑠𝑡𝑖	𝐺𝑏𝑒𝑠𝑡𝑖	PROPN
cana-2251	169	6	position	position	NOUN
cana-2251	169	7	as	as	ADP
cana-2251	169	8	the	the	DET
cana-2251	169	9	optimal	optimal	ADJ
cana-2251	169	10	solution	solution	NOUN
cana-2251	169	11	.	.	PUNCT
cana-2251	170	1	3.3	3.3	NUM
cana-2251	170	2	.	.	PUNCT
cana-2251	171	1	hann	hann	PROPN
cana-2251	171	2	module	module	NOUN
cana-2251	171	3	utilizing	utilizing	NOUN
cana-2251	171	4	cnns	cnn	NOUN
cana-2251	171	5	the	the	DET
cana-2251	171	6	suggested	suggest	VERB
cana-2251	171	7	method	method	NOUN
cana-2251	171	8	relies	rely	VERB
cana-2251	171	9	on	on	ADP
cana-2251	171	10	the	the	DET
cana-2251	171	11	hybrid	hybrid	ADJ
cana-2251	171	12	artificial	artificial	ADJ
cana-2251	171	13	neural	neural	ADJ
cana-2251	171	14	network	network	NOUN
cana-2251	171	15	(	(	PUNCT
cana-2251	171	16	hann	hann	PROPN
cana-2251	171	17	)	)	PUNCT
cana-2251	171	18	.	.	PUNCT
cana-2251	172	1	this	this	DET
cana-2251	172	2	network	network	NOUN
cana-2251	172	3	can	can	AUX
cana-2251	172	4	analyze	analyze	VERB
cana-2251	172	5	protein	protein	NOUN
cana-2251	172	6	-	-	PUNCT
cana-2251	172	7	ligand	ligand	NOUN
cana-2251	172	8	interactions	interaction	NOUN
cana-2251	172	9	,	,	PUNCT
cana-2251	172	10	forecast	forecast	NOUN
cana-2251	172	11	medicine	medicine	NOUN
cana-2251	172	12	efficacy	efficacy	NOUN
cana-2251	172	13	,	,	PUNCT
cana-2251	172	14	and	and	CCONJ
cana-2251	172	15	identify	identify	VERB
cana-2251	172	16	therapeutic	therapeutic	ADJ
cana-2251	172	17	candidates	candidate	NOUN
cana-2251	172	18	in	in	ADP
cana-2251	172	19	high	high	ADJ
cana-2251	172	20	-	-	PUNCT
cana-2251	172	21	dimensional	dimensional	ADJ
cana-2251	172	22	data	datum	NOUN
cana-2251	172	23	.	.	PUNCT
cana-2251	173	1	this	this	DET
cana-2251	173	2	model	model	NOUN
cana-2251	173	3	's	's	PART
cana-2251	173	4	hann	hann	PROPN
cana-2251	173	5	uses	use	VERB
cana-2251	173	6	cnns	cnn	NOUN
cana-2251	173	7	and	and	CCONJ
cana-2251	173	8	other	other	ADJ
cana-2251	173	9	neural	neural	ADJ
cana-2251	173	10	network	network	NOUN
cana-2251	173	11	topologies	topology	NOUN
cana-2251	173	12	to	to	PART
cana-2251	173	13	manage	manage	VERB
cana-2251	173	14	and	and	CCONJ
cana-2251	173	15	accurately	accurately	ADV
cana-2251	173	16	predict	predict	VERB
cana-2251	173	17	a	a	DET
cana-2251	173	18	variety	variety	NOUN
cana-2251	173	19	of	of	ADP
cana-2251	173	20	inputs	input	NOUN
cana-2251	173	21	,	,	PUNCT
cana-2251	173	22	as	as	SCONJ
cana-2251	173	23	shown	show	VERB
cana-2251	173	24	in	in	ADP
cana-2251	173	25	figure	figure	NOUN
cana-2251	173	26	2	2	NUM
cana-2251	173	27	.	.	PUNCT
cana-2251	174	1	these	these	DET
cana-2251	174	2	inputs	input	NOUN
cana-2251	174	3	include	include	VERB
cana-2251	174	4	imagelike	imagelike	ADJ
cana-2251	174	5	molecular	molecular	ADJ
cana-2251	174	6	structures	structure	NOUN
cana-2251	174	7	,	,	PUNCT
cana-2251	174	8	interaction	interaction	NOUN
cana-2251	174	9	data	datum	NOUN
cana-2251	174	10	,	,	PUNCT
cana-2251	174	11	and	and	CCONJ
cana-2251	174	12	chemical	chemical	NOUN
cana-2251	174	13	characteristics	characteristic	NOUN
cana-2251	174	14	.	.	PUNCT
cana-2251	175	1	this	this	DET
cana-2251	175	2	specially	specially	ADV
cana-2251	175	3	built	build	VERB
cana-2251	175	4	hann	hann	PROPN
cana-2251	175	5	combines	combine	VERB
cana-2251	175	6	cnns	cnn	NOUN
cana-2251	175	7	with	with	ADP
cana-2251	175	8	rnn	rnn	NOUN
cana-2251	175	9	networks	network	NOUN
cana-2251	175	10	to	to	PART
cana-2251	175	11	improve	improve	VERB
cana-2251	175	12	learning	learn	VERB
cana-2251	175	13	capacity	capacity	NOUN
cana-2251	175	14	and	and	CCONJ
cana-2251	175	15	capture	capture	VERB
cana-2251	175	16	complicated	complicated	ADJ
cana-2251	175	17	correlations	correlation	NOUN
cana-2251	175	18	across	across	ADP
cana-2251	175	19	a	a	DET
cana-2251	175	20	wide	wide	ADJ
cana-2251	175	21	range	range	NOUN
cana-2251	175	22	of	of	ADP
cana-2251	175	23	data	datum	NOUN
cana-2251	175	24	sources	source	NOUN
cana-2251	175	25	in	in	ADP
cana-2251	175	26	the	the	DET
cana-2251	175	27	drug	drug	NOUN
cana-2251	175	28	discovery	discovery	PROPN
cana-2251	175	29	pipeline	pipeline	NOUN
cana-2251	175	30	.	.	PUNCT
cana-2251	176	1	figure	figure	NOUN
cana-2251	176	2	2	2	NUM
cana-2251	176	3	:	:	PUNCT
cana-2251	176	4	hann	hann	PROPN
cana-2251	176	5	module	module	NOUN
cana-2251	176	6	utilizing	utilizing	NOUN
cana-2251	176	7	cnns	cnn	NOUN
cana-2251	176	8	the	the	DET
cana-2251	176	9	hann	hann	PROPN
cana-2251	176	10	module	module	NOUN
cana-2251	176	11	accepts	accept	VERB
cana-2251	176	12	protein	protein	NOUN
cana-2251	176	13	-	-	PUNCT
cana-2251	176	14	ligand	ligand	NOUN
cana-2251	176	15	complex	complex	NOUN
cana-2251	176	16	,	,	PUNCT
cana-2251	176	17	interaction	interaction	NOUN
cana-2251	176	18	,	,	PUNCT
cana-2251	176	19	small	small	ADJ
cana-2251	176	20	molecule	molecule	NOUN
cana-2251	176	21	,	,	PUNCT
cana-2251	176	22	and	and	CCONJ
cana-2251	176	23	target	target	VERB
cana-2251	176	24	data	datum	NOUN
cana-2251	176	25	in	in	ADP
cana-2251	176	26	various	various	ADJ
cana-2251	176	27	formats	format	NOUN
cana-2251	176	28	.	.	PUNCT
cana-2251	177	1	the	the	DET
cana-2251	177	2	first	first	ADJ
cana-2251	177	3	step	step	NOUN
cana-2251	177	4	in	in	ADP
cana-2251	177	5	training	train	VERB
cana-2251	177	6	a	a	DET
cana-2251	177	7	hann	hann	NOUN
cana-2251	177	8	to	to	PART
cana-2251	177	9	process	process	VERB
cana-2251	177	10	any	any	DET
cana-2251	177	11	input	input	NOUN
cana-2251	177	12	is	be	AUX
cana-2251	177	13	transforming	transform	VERB
cana-2251	177	14	it	it	PRON
cana-2251	177	15	into	into	ADP
cana-2251	177	16	math	math	NOUN
cana-2251	177	17	.	.	PUNCT
cana-2251	178	1	different	different	ADJ
cana-2251	178	2	inputs	input	NOUN
cana-2251	178	3	require	require	VERB
cana-2251	178	4	different	different	ADJ
cana-2251	178	5	pre	pre	ADJ
cana-2251	178	6	-	-	ADJ
cana-2251	178	7	processing	processing	ADJ
cana-2251	178	8	methods	method	NOUN
cana-2251	178	9	.	.	PUNCT
cana-2251	179	1	the	the	DET
cana-2251	179	2	protein	protein	NOUN
cana-2251	179	3	-	-	PUNCT
cana-2251	179	4	ligand	ligand	NOUN
cana-2251	179	5	bond	bond	NOUN
cana-2251	179	6	chemical	chemical	NOUN
cana-2251	179	7	descriptions	description	NOUN
cana-2251	179	8	or	or	CCONJ
cana-2251	179	9	three	three	NUM
cana-2251	179	10	-	-	PUNCT
cana-2251	179	11	dimensional	dimensional	ADJ
cana-2251	179	12	biological	biological	ADJ
cana-2251	179	13	molecule	molecule	NOUN
cana-2251	179	14	architectures	architecture	NOUN
cana-2251	179	15	represent	represent	VERB
cana-2251	179	16	the	the	DET
cana-2251	179	17	data	datum	NOUN
cana-2251	179	18	.	.	PUNCT
cana-2251	180	1	described	describe	VERB
cana-2251	180	2	as	as	ADP
cana-2251	180	3	feature	feature	NOUN
cana-2251	180	4	vectors	vector	NOUN
cana-2251	180	5	or	or	CCONJ
cana-2251	180	6	graphs	graph	NOUN
cana-2251	180	7	that	that	PRON
cana-2251	180	8	show	show	VERB
cana-2251	180	9	the	the	DET
cana-2251	180	10	molecules	molecule	NOUN
cana-2251	180	11	'	'	PART
cana-2251	180	12	nature	nature	NOUN
cana-2251	180	13	,	,	PUNCT
cana-2251	180	14	intensity	intensity	NOUN
cana-2251	180	15	,	,	PUNCT
cana-2251	180	16	interactions	interaction	NOUN
cana-2251	180	17	and	and	CCONJ
cana-2251	180	18	vectors	vector	NOUN
cana-2251	180	19	of	of	ADP
cana-2251	180	20	integers	integer	NOUN
cana-2251	180	21	with	with	ADP
cana-2251	180	22	molecular	molecular	ADJ
cana-2251	180	23	fingerprints	fingerprint	NOUN
cana-2251	180	24	or	or	CCONJ
cana-2251	180	25	chemical	chemical	NOUN
cana-2251	180	26	descriptions	description	NOUN
cana-2251	180	27	.	.	PUNCT
cana-2251	181	1	divided	divide	VERB
cana-2251	181	2	into	into	ADP
cana-2251	181	3	categories	category	NOUN
cana-2251	181	4	that	that	PRON
cana-2251	181	5	reveal	reveal	VERB
cana-2251	181	6	target	target	NOUN
cana-2251	181	7	protein	protein	NOUN
cana-2251	181	8	properties	property	NOUN
cana-2251	181	9	and	and	CCONJ
cana-2251	181	10	probable	probable	ADJ
cana-2251	181	11	interactions	interaction	NOUN
cana-2251	181	12	.	.	PUNCT
cana-2251	182	1	the	the	DET
cana-2251	182	2	model	model	NOUN
cana-2251	182	3	starts	start	VERB
cana-2251	182	4	with	with	ADP
cana-2251	182	5	a	a	DET
cana-2251	182	6	cnn	cnn	PROPN
cana-2251	182	7	,	,	PUNCT
cana-2251	182	8	which	which	PRON
cana-2251	182	9	is	be	AUX
cana-2251	182	10	great	great	ADJ
cana-2251	182	11	at	at	ADP
cana-2251	182	12	communications	communication	NOUN
cana-2251	182	13	on	on	ADP
cana-2251	182	14	applied	apply	VERB
cana-2251	182	15	nonlinear	nonlinear	ADJ
cana-2251	182	16	analysis	analysis	NOUN
cana-2251	182	17	issn	issn	NOUN
cana-2251	182	18	:	:	PUNCT
cana-2251	182	19	1074	1074	NUM
cana-2251	182	20	-	-	PUNCT
cana-2251	182	21	133x	133x	NUM
cana-2251	182	22	vol	vol	NOUN
cana-2251	182	23	32	32	NUM
cana-2251	182	24	no	no	NOUN
cana-2251	182	25	.	.	PUNCT
cana-2251	183	1	2s	2s	NUM
cana-2251	183	2	(	(	PUNCT
cana-2251	183	3	2025	2025	NUM
cana-2251	183	4	)	)	PUNCT
cana-2251	183	5	71	71	NUM
cana-2251	183	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2251	183	7	spotting	spot	VERB
cana-2251	183	8	spatial	spatial	ADJ
cana-2251	183	9	patterns	pattern	NOUN
cana-2251	183	10	and	and	CCONJ
cana-2251	183	11	extracting	extract	VERB
cana-2251	183	12	abstract	abstract	ADJ
cana-2251	183	13	information	information	NOUN
cana-2251	183	14	from	from	ADP
cana-2251	183	15	raw	raw	ADJ
cana-2251	183	16	data	datum	NOUN
cana-2251	183	17	.	.	PUNCT
cana-2251	184	1	for	for	ADP
cana-2251	184	2	many	many	ADJ
cana-2251	184	3	reasons	reason	NOUN
cana-2251	184	4	,	,	PUNCT
cana-2251	184	5	cnn	cnn	PROPN
cana-2251	184	6	is	be	AUX
cana-2251	184	7	essential	essential	ADJ
cana-2251	184	8	to	to	ADP
cana-2251	184	9	drug	drug	NOUN
cana-2251	184	10	discovery	discovery	NOUN
cana-2251	184	11	:	:	PUNCT
cana-2251	184	12	it	it	PRON
cana-2251	184	13	provides	provide	VERB
cana-2251	184	14	crucial	crucial	ADJ
cana-2251	184	15	information	information	NOUN
cana-2251	184	16	on	on	ADP
cana-2251	184	17	medicine	medicine	NOUN
cana-2251	184	18	binding	bind	VERB
cana-2251	184	19	to	to	ADP
cana-2251	184	20	a	a	DET
cana-2251	184	21	target	target	NOUN
cana-2251	184	22	protein	protein	NOUN
cana-2251	184	23	in	in	ADP
cana-2251	184	24	three	three	NUM
cana-2251	184	25	-	-	PUNCT
cana-2251	184	26	dimensional	dimensional	ADJ
cana-2251	184	27	chemical	chemical	NOUN
cana-2251	184	28	structures	structure	NOUN
cana-2251	184	29	.	.	PUNCT
cana-2251	185	1	it	it	PRON
cana-2251	185	2	encompasses	encompass	VERB
cana-2251	185	3	spatial	spatial	ADJ
cana-2251	185	4	interactions	interaction	NOUN
cana-2251	185	5	,	,	PUNCT
cana-2251	185	6	bond	bond	NOUN
cana-2251	185	7	topologies	topology	NOUN
cana-2251	185	8	,	,	PUNCT
cana-2251	185	9	and	and	CCONJ
cana-2251	185	10	molecular	molecular	ADJ
cana-2251	185	11	conformations	conformation	NOUN
cana-2251	185	12	.	.	PUNCT
cana-2251	186	1	rnn	rnn	PROPN
cana-2251	186	2	can	can	AUX
cana-2251	186	3	collect	collect	VERB
cana-2251	186	4	interaction	interaction	NOUN
cana-2251	186	5	patterns	pattern	NOUN
cana-2251	186	6	and	and	CCONJ
cana-2251	186	7	chemical	chemical	NOUN
cana-2251	186	8	similarities	similarity	NOUN
cana-2251	186	9	from	from	ADP
cana-2251	186	10	graphs	graph	NOUN
cana-2251	186	11	or	or	CCONJ
cana-2251	186	12	vectors	vector	NOUN
cana-2251	186	13	,	,	PUNCT
cana-2251	186	14	which	which	PRON
cana-2251	186	15	may	may	AUX
cana-2251	186	16	affect	affect	VERB
cana-2251	186	17	binding	bind	VERB
cana-2251	186	18	affinity	affinity	NOUN
cana-2251	186	19	and	and	CCONJ
cana-2251	186	20	activity	activity	NOUN
cana-2251	186	21	.	.	PUNCT
cana-2251	187	1	the	the	DET
cana-2251	187	2	cnn	cnn	PROPN
cana-2251	187	3	runs	run	VERB
cana-2251	187	4	convolutional	convolutional	ADJ
cana-2251	187	5	filters	filter	NOUN
cana-2251	187	6	on	on	ADP
cana-2251	187	7	the	the	DET
cana-2251	187	8	input	input	NOUN
cana-2251	187	9	data	datum	NOUN
cana-2251	187	10	and	and	CCONJ
cana-2251	187	11	pools	pool	NOUN
cana-2251	187	12	the	the	DET
cana-2251	187	13	features	feature	NOUN
cana-2251	187	14	to	to	ADP
cana-2251	187	15	a	a	DET
cana-2251	187	16	down	down	ADJ
cana-2251	187	17	sample	sample	NOUN
cana-2251	187	18	.	.	PUNCT
cana-2251	188	1	this	this	PRON
cana-2251	188	2	lets	let	VERB
cana-2251	188	3	the	the	DET
cana-2251	188	4	cnn	cnn	PROPN
cana-2251	188	5	reduce	reduce	VERB
cana-2251	188	6	data	data	NOUN
cana-2251	188	7	dimensionality	dimensionality	NOUN
cana-2251	188	8	and	and	CCONJ
cana-2251	188	9	focus	focus	VERB
cana-2251	188	10	on	on	ADP
cana-2251	188	11	essential	essential	ADJ
cana-2251	188	12	patterns	pattern	NOUN
cana-2251	188	13	.	.	PUNCT
cana-2251	189	1	the	the	DET
cana-2251	189	2	cnn	cnn	PROPN
cana-2251	189	3	sends	send	VERB
cana-2251	189	4	feature	feature	NOUN
cana-2251	189	5	maps	map	NOUN
cana-2251	189	6	to	to	PART
cana-2251	189	7	fully	fully	ADV
cana-2251	189	8	connected	connect	VERB
cana-2251	189	9	,	,	PUNCT
cana-2251	189	10	dense	dense	ADJ
cana-2251	189	11	layers	layer	NOUN
cana-2251	189	12	after	after	ADP
cana-2251	189	13	processing	process	VERB
cana-2251	189	14	the	the	DET
cana-2251	189	15	incoming	incoming	ADJ
cana-2251	189	16	data	datum	NOUN
cana-2251	189	17	.	.	PUNCT
cana-2251	190	1	based	base	VERB
cana-2251	190	2	on	on	ADP
cana-2251	190	3	cnn	cnn	PROPN
cana-2251	190	4	spatial	spatial	ADJ
cana-2251	190	5	and	and	CCONJ
cana-2251	190	6	interaction	interaction	NOUN
cana-2251	190	7	data	datum	NOUN
cana-2251	190	8	,	,	PUNCT
cana-2251	190	9	these	these	DET
cana-2251	190	10	layers	layer	NOUN
cana-2251	190	11	make	make	VERB
cana-2251	190	12	decisions	decision	NOUN
cana-2251	190	13	.	.	PUNCT
cana-2251	191	1	thick	thick	ADJ
cana-2251	191	2	layers	layer	NOUN
cana-2251	191	3	let	let	VERB
cana-2251	191	4	rnn	rnn	PROPN
cana-2251	191	5	-	-	PUNCT
cana-2251	191	6	based	base	VERB
cana-2251	191	7	drug	drug	NOUN
cana-2251	191	8	discovery	discovery	NOUN
cana-2251	191	9	networks	network	NOUN
cana-2251	191	10	discern	discern	VERB
cana-2251	191	11	detailed	detailed	ADJ
cana-2251	191	12	patterns	pattern	NOUN
cana-2251	191	13	by	by	ADP
cana-2251	191	14	flattening	flatten	VERB
cana-2251	191	15	high	high	ADJ
cana-2251	191	16	-	-	PUNCT
cana-2251	191	17	dimensional	dimensional	ADJ
cana-2251	191	18	feature	feature	NOUN
cana-2251	191	19	maps	map	NOUN
cana-2251	191	20	.	.	PUNCT
cana-2251	192	1	neurons	neuron	NOUN
cana-2251	192	2	in	in	ADP
cana-2251	192	3	these	these	DET
cana-2251	192	4	layers	layer	NOUN
cana-2251	192	5	predict	predict	VERB
cana-2251	192	6	binding	binding	ADJ
cana-2251	192	7	affinity	affinity	NOUN
cana-2251	192	8	,	,	PUNCT
cana-2251	192	9	toxicity	toxicity	NOUN
cana-2251	192	10	,	,	PUNCT
cana-2251	192	11	and	and	CCONJ
cana-2251	192	12	efficacy	efficacy	NOUN
cana-2251	192	13	.	.	PUNCT
cana-2251	193	1	fully	fully	ADV
cana-2251	193	2	linked	link	VERB
cana-2251	193	3	layers	layer	NOUN
cana-2251	193	4	perform	perform	VERB
cana-2251	193	5	intricate	intricate	ADJ
cana-2251	193	6	computations	computation	NOUN
cana-2251	193	7	to	to	PART
cana-2251	193	8	augment	augment	VERB
cana-2251	193	9	feature	feature	NOUN
cana-2251	193	10	representations	representation	NOUN
cana-2251	193	11	and	and	CCONJ
cana-2251	193	12	increase	increase	VERB
cana-2251	193	13	the	the	DET
cana-2251	193	14	model	model	NOUN
cana-2251	193	15	's	's	PART
cana-2251	193	16	understanding	understanding	NOUN
cana-2251	193	17	of	of	ADP
cana-2251	193	18	complex	complex	ADJ
cana-2251	193	19	chemical	chemical	NOUN
cana-2251	193	20	interactions	interaction	NOUN
cana-2251	193	21	.	.	PUNCT
cana-2251	194	1	•	•	NOUN
cana-2251	194	2	using	use	VERB
cana-2251	194	3	evolutionary	evolutionary	ADJ
cana-2251	194	4	computing	computing	NOUN
cana-2251	194	5	for	for	ADP
cana-2251	194	6	optimization	optimization	NOUN
cana-2251	194	7	:	:	PUNCT
cana-2251	194	8	hann	hann	PROPN
cana-2251	194	9	's	's	PART
cana-2251	194	10	pso	pso	NOUN
cana-2251	194	11	evolutionary	evolutionary	ADJ
cana-2251	194	12	computing	computing	NOUN
cana-2251	194	13	module	module	NOUN
cana-2251	194	14	is	be	AUX
cana-2251	194	15	a	a	DET
cana-2251	194	16	standout	standout	NOUN
cana-2251	194	17	feature	feature	NOUN
cana-2251	194	18	.	.	PUNCT
cana-2251	195	1	•	•	NUM
cana-2251	195	2	evolutionary	evolutionary	ADJ
cana-2251	195	3	optimization	optimization	NOUN
cana-2251	195	4	fine	fine	ADJ
cana-2251	195	5	-	-	PUNCT
cana-2251	195	6	tunes	tune	NOUN
cana-2251	195	7	hann	hann	NOUN
cana-2251	195	8	hyperparameters	hyperparameter	NOUN
cana-2251	195	9	and	and	CCONJ
cana-2251	195	10	structural	structural	ADJ
cana-2251	195	11	configurations	configuration	NOUN
cana-2251	195	12	in	in	ADP
cana-2251	195	13	real	real	ADJ
cana-2251	195	14	-	-	PUNCT
cana-2251	195	15	time	time	NOUN
cana-2251	195	16	.	.	PUNCT
cana-2251	196	1	this	this	PRON
cana-2251	196	2	ensures	ensure	VERB
cana-2251	196	3	that	that	SCONJ
cana-2251	196	4	the	the	DET
cana-2251	196	5	hann	hann	PROPN
cana-2251	196	6	is	be	AUX
cana-2251	196	7	tailored	tailor	VERB
cana-2251	196	8	to	to	ADP
cana-2251	196	9	the	the	DET
cana-2251	196	10	drug	drug	NOUN
cana-2251	196	11	discovery	discovery	PROPN
cana-2251	196	12	task	task	NOUN
cana-2251	196	13	.	.	PUNCT
cana-2251	197	1	•	•	NUM
cana-2251	197	2	the	the	DET
cana-2251	197	3	pso	pso	NOUN
cana-2251	197	4	algorithm	algorithm	NOUN
cana-2251	197	5	adjusts	adjust	VERB
cana-2251	197	6	these	these	DET
cana-2251	197	7	parameters	parameter	NOUN
cana-2251	197	8	:	:	PUNCT
cana-2251	197	9	the	the	DET
cana-2251	197	10	last	last	ADJ
cana-2251	197	11	component	component	NOUN
cana-2251	197	12	of	of	ADP
cana-2251	197	13	hann	hann	PROPN
cana-2251	197	14	,	,	PUNCT
cana-2251	197	15	the	the	DET
cana-2251	197	16	output	output	NOUN
cana-2251	197	17	layer	layer	NOUN
cana-2251	197	18	,	,	PUNCT
cana-2251	197	19	offers	offer	VERB
cana-2251	197	20	model	model	NOUN
cana-2251	197	21	predictions	prediction	NOUN
cana-2251	197	22	.	.	PUNCT
cana-2251	198	1	the	the	DET
cana-2251	198	2	following	follow	VERB
cana-2251	198	3	drug	drug	NOUN
cana-2251	198	4	discovery	discovery	NOUN
cana-2251	198	5	tasks	task	NOUN
cana-2251	198	6	could	could	AUX
cana-2251	198	7	use	use	VERB
cana-2251	198	8	this	this	DET
cana-2251	198	9	layer	layer	NOUN
cana-2251	198	10	setup.categorization	setup.categorization	NOUN
cana-2251	198	11	tasks	task	NOUN
cana-2251	198	12	include	include	VERB
cana-2251	198	13	determining	determine	VERB
cana-2251	198	14	if	if	SCONJ
cana-2251	198	15	a	a	DET
cana-2251	198	16	chemical	chemical	NOUN
cana-2251	198	17	binds	bind	VERB
cana-2251	198	18	or	or	CCONJ
cana-2251	198	19	not	not	PART
cana-2251	198	20	.	.	PUNCT
cana-2251	199	1	this	this	DET
cana-2251	199	2	knowledge	knowledge	NOUN
cana-2251	199	3	could	could	AUX
cana-2251	199	4	aid	aid	VERB
cana-2251	199	5	drug	drug	NOUN
cana-2251	199	6	development	development	NOUN
cana-2251	199	7	.	.	PUNCT
cana-2251	200	1	•	•	NUM
cana-2251	200	2	regression	regression	NOUN
cana-2251	200	3	includes	include	VERB
cana-2251	200	4	forecasting	forecast	VERB
cana-2251	200	5	pharmaceutical	pharmaceutical	ADJ
cana-2251	200	6	efficacy	efficacy	NOUN
cana-2251	200	7	and	and	CCONJ
cana-2251	200	8	binding	binding	ADJ
cana-2251	200	9	affinity	affinity	NOUN
cana-2251	200	10	.	.	PUNCT
cana-2251	201	1	classification	classification	NOUN
cana-2251	201	2	output	output	NOUN
cana-2251	201	3	layers	layer	NOUN
cana-2251	201	4	use	use	VERB
cana-2251	201	5	sigmoid	sigmoid	NOUN
cana-2251	201	6	or	or	CCONJ
cana-2251	201	7	softmax	softmax	NOUN
cana-2251	201	8	activation	activation	NOUN
cana-2251	201	9	functions	function	NOUN
cana-2251	201	10	.	.	PUNCT
cana-2251	202	1	•	•	NUM
cana-2251	202	2	however	however	ADV
cana-2251	202	3	,	,	PUNCT
cana-2251	202	4	regression	regression	NOUN
cana-2251	202	5	activation	activation	NOUN
cana-2251	202	6	is	be	AUX
cana-2251	202	7	linear	linear	ADJ
cana-2251	202	8	,	,	PUNCT
cana-2251	202	9	and	and	CCONJ
cana-2251	202	10	choosing	choose	VERB
cana-2251	202	11	which	which	DET
cana-2251	202	12	activation	activation	NOUN
cana-2251	202	13	function	function	NOUN
cana-2251	202	14	depends	depend	VERB
cana-2251	202	15	on	on	ADP
cana-2251	202	16	whether	whether	SCONJ
cana-2251	202	17	the	the	DET
cana-2251	202	18	output	output	NOUN
cana-2251	202	19	is	be	AUX
cana-2251	202	20	continuous	continuous	ADJ
cana-2251	202	21	,	,	PUNCT
cana-2251	202	22	binary	binary	ADJ
cana-2251	202	23	,	,	PUNCT
cana-2251	202	24	or	or	CCONJ
cana-2251	202	25	categorical	categorical	ADJ
cana-2251	202	26	.	.	PUNCT
cana-2251	203	1	the	the	DET
cana-2251	203	2	innovative	innovative	ADJ
cana-2251	203	3	part	part	NOUN
cana-2251	203	4	of	of	ADP
cana-2251	203	5	the	the	DET
cana-2251	203	6	hann	hann	PROPN
cana-2251	203	7	is	be	AUX
cana-2251	203	8	its	its	PRON
cana-2251	203	9	hybrid	hybrid	ADJ
cana-2251	203	10	structure	structure	NOUN
cana-2251	203	11	,	,	PUNCT
cana-2251	203	12	which	which	PRON
cana-2251	203	13	incorporates	incorporate	VERB
cana-2251	203	14	evolutionary	evolutionary	ADJ
cana-2251	203	15	computing	computing	NOUN
cana-2251	203	16	for	for	ADP
cana-2251	203	17	adaptability	adaptability	NOUN
cana-2251	203	18	and	and	CCONJ
cana-2251	203	19	the	the	DET
cana-2251	203	20	decision	decision	NOUN
cana-2251	203	21	-	-	PUNCT
cana-2251	203	22	making	make	VERB
cana-2251	203	23	power	power	NOUN
cana-2251	203	24	of	of	ADP
cana-2251	203	25	dense	dense	ADJ
cana-2251	203	26	layers	layer	NOUN
cana-2251	203	27	with	with	ADP
cana-2251	203	28	the	the	DET
cana-2251	203	29	feature	feature	NOUN
cana-2251	203	30	extraction	extraction	NOUN
cana-2251	203	31	capabilities	capability	NOUN
cana-2251	203	32	of	of	ADP
cana-2251	203	33	cnns	cnn	NOUN
cana-2251	203	34	.	.	PUNCT
cana-2251	204	1	because	because	SCONJ
cana-2251	204	2	each	each	DET
cana-2251	204	3	drug	drug	NOUN
cana-2251	204	4	discovery	discovery	NOUN
cana-2251	204	5	dataset	dataset	NOUN
cana-2251	204	6	differs	differ	NOUN
cana-2251	204	7	,	,	PUNCT
cana-2251	204	8	the	the	DET
cana-2251	204	9	model	model	NOUN
cana-2251	204	10	may	may	AUX
cana-2251	204	11	adapt	adapt	VERB
cana-2251	204	12	its	its	PRON
cana-2251	204	13	learning	learning	NOUN
cana-2251	204	14	technique	technique	NOUN
cana-2251	204	15	on	on	ADP
cana-2251	204	16	the	the	DET
cana-2251	204	17	fly	fly	NOUN
cana-2251	204	18	to	to	PART
cana-2251	204	19	account	account	VERB
cana-2251	204	20	for	for	ADP
cana-2251	204	21	these	these	DET
cana-2251	204	22	differences	difference	NOUN
cana-2251	204	23	.	.	PUNCT
cana-2251	205	1	using	use	VERB
cana-2251	205	2	evolutionary	evolutionary	ADJ
cana-2251	205	3	computing	computing	NOUN
cana-2251	205	4	,	,	PUNCT
cana-2251	205	5	we	we	PRON
cana-2251	205	6	can	can	AUX
cana-2251	205	7	be	be	AUX
cana-2251	205	8	confident	confident	ADJ
cana-2251	205	9	that	that	SCONJ
cana-2251	205	10	hanns	hann	NOUN
cana-2251	205	11	are	be	AUX
cana-2251	205	12	n't	not	PART
cana-2251	205	13	static	static	ADJ
cana-2251	205	14	but	but	CCONJ
cana-2251	205	15	rather	rather	ADV
cana-2251	205	16	that	that	SCONJ
cana-2251	205	17	they	they	PRON
cana-2251	205	18	learn	learn	VERB
cana-2251	205	19	and	and	CCONJ
cana-2251	205	20	adapt	adapt	VERB
cana-2251	205	21	to	to	ADP
cana-2251	205	22	new	new	ADJ
cana-2251	205	23	tasks	task	NOUN
cana-2251	205	24	over	over	ADP
cana-2251	205	25	time	time	NOUN
cana-2251	205	26	,	,	PUNCT
cana-2251	205	27	leading	lead	VERB
cana-2251	205	28	to	to	ADP
cana-2251	205	29	better	well	ADJ
cana-2251	205	30	generalization	generalization	NOUN
cana-2251	205	31	and	and	CCONJ
cana-2251	205	32	less	less	ADV
cana-2251	205	33	overfitting	overfitting	NOUN
cana-2251	205	34	.	.	PUNCT
cana-2251	206	1	4	4	X
cana-2251	206	2	.	.	X
cana-2251	206	3	experimental	experimental	ADJ
cana-2251	206	4	results	result	NOUN
cana-2251	206	5	this	this	DET
cana-2251	206	6	study	study	NOUN
cana-2251	206	7	used	use	VERB
cana-2251	206	8	drug	drug	NOUN
cana-2251	206	9	/	/	SYM
cana-2251	206	10	cell	cell	NOUN
cana-2251	206	11	line	line	NOUN
cana-2251	206	12	combinations	combination	NOUN
cana-2251	206	13	from	from	ADP
cana-2251	206	14	the	the	DET
cana-2251	206	15	gdsc	gdsc	ADJ
cana-2251	206	16	database	database	NOUN
cana-2251	206	17	(	(	PUNCT
cana-2251	206	18	https://www.mdpi.com/20726694/15/10/2705	https://www.mdpi.com/20726694/15/10/2705	NOUN
cana-2251	206	19	)	)	PUNCT
cana-2251	206	20	with	with	ADP
cana-2251	206	21	adequate	adequate	ADJ
cana-2251	206	22	ic50	ic50	PROPN
cana-2251	206	23	values	value	NOUN
cana-2251	206	24	to	to	PART
cana-2251	206	25	evaluate	evaluate	VERB
cana-2251	206	26	the	the	DET
cana-2251	206	27	ec	ec	PROPN
cana-2251	206	28	-	-	PUNCT
cana-2251	206	29	hann	hann	PROPN
cana-2251	206	30	.	.	PUNCT
cana-2251	207	1	data	datum	NOUN
cana-2251	207	2	included	include	VERB
cana-2251	207	3	173,114	173,114	NUM
cana-2251	207	4	drug	drug	NOUN
cana-2251	207	5	-	-	PUNCT
cana-2251	207	6	cell	cell	NOUN
cana-2251	207	7	line	line	NOUN
cana-2251	207	8	pairs	pair	NOUN
cana-2251	207	9	,	,	PUNCT
cana-2251	207	10	split	split	VERB
cana-2251	207	11	by	by	ADP
cana-2251	207	12	224	224	NUM
cana-2251	207	13	and	and	CCONJ
cana-2251	207	14	947	947	NUM
cana-2251	207	15	,	,	PUNCT
cana-2251	207	16	or	or	CCONJ
cana-2251	207	17	172,114	172,114	NUM
cana-2251	207	18	.	.	PUNCT
cana-2251	208	1	normalize	normalize	VERB
cana-2251	208	2	the	the	DET
cana-2251	208	3	replies	reply	NOUN
cana-2251	208	4	from	from	ADP
cana-2251	208	5	0	0	NUM
cana-2251	208	6	to	to	ADP
cana-2251	208	7	1	1	NUM
cana-2251	208	8	.	.	PUNCT
cana-2251	209	1	a	a	DET
cana-2251	209	2	logisticlike	logisticlike	ADJ
cana-2251	209	3	function	function	NOUN
cana-2251	209	4	gave	give	VERB
cana-2251	209	5	us	we	PRON
cana-2251	209	6	the	the	DET
cana-2251	209	7	formula	formula	NOUN
cana-2251	209	8	for	for	ADP
cana-2251	209	9	each	each	DET
cana-2251	209	10	ic50	ic50	PROPN
cana-2251	209	11	value	value	NOUN
cana-2251	209	12	y	y	NOUN
cana-2251	209	13	:	:	PUNCT
cana-2251	209	14	the	the	DET
cana-2251	209	15	norm	norm	NOUN
cana-2251	209	16	of	of	ADP
cana-2251	209	17	𝑦	𝑦	NOUN
cana-2251	209	18	is	be	AUX
cana-2251	209	19	1/(1+𝑦0.1	1/(1+𝑦0.1	NUM
cana-2251	209	20	)	)	PUNCT
cana-2251	209	21	for	for	ADP
cana-2251	209	22	𝑦	𝑦	NOUN
cana-2251	209	23	higher	high	ADJ
cana-2251	209	24	than	than	ADP
cana-2251	209	25	0	0	NUM
cana-2251	209	26	.	.	PUNCT
cana-2251	210	1	use	use	VERB
cana-2251	210	2	a	a	DET
cana-2251	210	3	positive	positive	ADJ
cana-2251	210	4	integer	integer	NOUN
cana-2251	210	5	to	to	PART
cana-2251	210	6	appropriately	appropriately	ADV
cana-2251	210	7	represent	represent	VERB
cana-2251	210	8	the	the	DET
cana-2251	210	9	observed	observed	ADJ
cana-2251	210	10	or	or	CCONJ
cana-2251	210	11	projected	project	VERB
cana-2251	210	12	ic50	ic50	PROPN
cana-2251	210	13	value	value	NOUN
cana-2251	210	14	.	.	PUNCT
cana-2251	211	1	we	we	PRON
cana-2251	211	2	separated	separate	VERB
cana-2251	211	3	the	the	DET
cana-2251	211	4	pre	pre	ADJ
cana-2251	211	5	-	-	ADJ
cana-2251	211	6	processed	process	VERB
cana-2251	211	7	data	datum	NOUN
cana-2251	211	8	into	into	ADP
cana-2251	211	9	training	training	NOUN
cana-2251	211	10	and	and	CCONJ
cana-2251	211	11	testing	testing	NOUN
cana-2251	211	12	sets	set	NOUN
cana-2251	211	13	.	.	PUNCT
cana-2251	212	1	each	each	DET
cana-2251	212	2	batch	batch	NOUN
cana-2251	212	3	had	have	VERB
cana-2251	212	4	173,114	173,114	NUM
cana-2251	212	5	data	datum	NOUN
cana-2251	212	6	pairs	pair	NOUN
cana-2251	212	7	.	.	PUNCT
cana-2251	213	1	although	although	SCONJ
cana-2251	213	2	data	datum	NOUN
cana-2251	213	3	on	on	ADP
cana-2251	213	4	personal	personal	ADJ
cana-2251	213	5	medicine	medicine	NOUN
cana-2251	213	6	and	and	CCONJ
cana-2251	213	7	the	the	DET
cana-2251	213	8	pharmaceutical	pharmaceutical	ADJ
cana-2251	213	9	sector	sector	NOUN
cana-2251	213	10	is	be	AUX
cana-2251	213	11	scarce	scarce	ADJ
cana-2251	213	12	,	,	PUNCT
cana-2251	213	13	hqnns	hqnns	NOUN
cana-2251	213	14	solved	solve	VERB
cana-2251	213	15	difficulties	difficulty	NOUN
cana-2251	213	16	on	on	ADP
cana-2251	213	17	a	a	DET
cana-2251	213	18	short	short	ADJ
cana-2251	213	19	dataset	dataset	NOUN
cana-2251	213	20	.	.	PUNCT
cana-2251	214	1	this	this	PRON
cana-2251	214	2	decreased	decrease	VERB
cana-2251	214	3	the	the	DET
cana-2251	214	4	dataset	dataset	NOUN
cana-2251	214	5	to	to	ADP
cana-2251	214	6	4000	4000	NUM
cana-2251	214	7	training	training	NOUN
cana-2251	214	8	samples	sample	NOUN
cana-2251	214	9	and	and	CCONJ
cana-2251	214	10	1500	1500	NUM
cana-2251	214	11	testing	testing	NOUN
cana-2251	214	12	communications	communication	NOUN
cana-2251	214	13	on	on	ADP
cana-2251	214	14	applied	apply	VERB
cana-2251	214	15	nonlinear	nonlinear	ADJ
cana-2251	214	16	analysis	analysis	NOUN
cana-2251	214	17	issn	issn	NOUN
cana-2251	214	18	:	:	PUNCT
cana-2251	214	19	1074	1074	NUM
cana-2251	214	20	-	-	PUNCT
cana-2251	214	21	133x	133x	NUM
cana-2251	214	22	vol	vol	NOUN
cana-2251	214	23	32	32	NUM
cana-2251	214	24	no	no	NOUN
cana-2251	214	25	.	.	PUNCT
cana-2251	215	1	2s	2s	NUM
cana-2251	215	2	(	(	PUNCT
cana-2251	215	3	2025	2025	NUM
cana-2251	215	4	)	)	PUNCT
cana-2251	215	5	72	72	NUM
cana-2251	215	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2251	215	7	samples	sample	NOUN
cana-2251	215	8	.	.	PUNCT
cana-2251	216	1	this	this	DET
cana-2251	216	2	split	split	ADJ
cana-2251	216	3	ratio	ratio	NOUN
cana-2251	216	4	allowed	allow	VERB
cana-2251	216	5	us	we	PRON
cana-2251	216	6	to	to	PART
cana-2251	216	7	reserve	reserve	VERB
cana-2251	216	8	enough	enough	ADJ
cana-2251	216	9	data	datum	NOUN
cana-2251	216	10	for	for	ADP
cana-2251	216	11	model	model	NOUN
cana-2251	216	12	training	training	NOUN
cana-2251	216	13	and	and	CCONJ
cana-2251	216	14	testing	testing	NOUN
cana-2251	216	15	.	.	PUNCT
cana-2251	217	1	no	no	DET
cana-2251	217	2	division	division	NOUN
cana-2251	217	3	had	have	VERB
cana-2251	217	4	a	a	DET
cana-2251	217	5	predetermined	predetermine	VERB
cana-2251	217	6	order	order	NOUN
cana-2251	217	7	.	.	PUNCT
cana-2251	218	1	adam	adam	PROPN
cana-2251	218	2	implemented	implement	VERB
cana-2251	218	3	as	as	ADP
cana-2251	218	4	an	an	DET
cana-2251	218	5	optimizer	optimizer	NOUN
cana-2251	218	6	,	,	PUNCT
cana-2251	218	7	had	have	VERB
cana-2251	218	8	a	a	DET
cana-2251	218	9	learning	learning	NOUN
cana-2251	218	10	rate	rate	NOUN
cana-2251	218	11	of	of	ADP
cana-2251	218	12	1.8×10−3	1.8×10−3	NUM
cana-2251	218	13	.	.	PUNCT
cana-2251	219	1	the	the	DET
cana-2251	219	2	suggested	suggest	VERB
cana-2251	219	3	model	model	NOUN
cana-2251	219	4	is	be	AUX
cana-2251	219	5	evaluated	evaluate	VERB
cana-2251	219	6	against	against	ADP
cana-2251	219	7	qnn	qnn	NOUN
cana-2251	219	8	,	,	PUNCT
cana-2251	219	9	mha	mha	PROPN
cana-2251	219	10	,	,	PUNCT
cana-2251	219	11	and	and	CCONJ
cana-2251	219	12	cnn	cnn	PROPN
cana-2251	219	13	using	use	VERB
cana-2251	219	14	the	the	DET
cana-2251	219	15	following	follow	VERB
cana-2251	219	16	performance	performance	NOUN
cana-2251	219	17	metrics	metric	NOUN
cana-2251	219	18	:	:	PUNCT
cana-2251	219	19	model	model	NOUN
cana-2251	219	20	durability	durability	NOUN
cana-2251	219	21	,	,	PUNCT
cana-2251	219	22	convergence	convergence	NOUN
cana-2251	219	23	speed	speed	NOUN
cana-2251	219	24	,	,	PUNCT
cana-2251	219	25	and	and	CCONJ
cana-2251	219	26	prediction	prediction	NOUN
cana-2251	219	27	accuracy	accuracy	NOUN
cana-2251	219	28	.	.	PUNCT
cana-2251	220	1	4.1	4.1	NUM
cana-2251	220	2	.	.	PUNCT
cana-2251	220	3	prediction	prediction	NOUN
cana-2251	220	4	accuracy	accuracy	NOUN
cana-2251	220	5	the	the	DET
cana-2251	220	6	proposed	propose	VERB
cana-2251	220	7	hybrid	hybrid	ADJ
cana-2251	220	8	artificial	artificial	ADJ
cana-2251	220	9	neural	neural	ADJ
cana-2251	220	10	network	network	NOUN
cana-2251	220	11	(	(	PUNCT
cana-2251	220	12	hann	hann	PROPN
cana-2251	220	13	)	)	PUNCT
cana-2251	220	14	using	use	VERB
cana-2251	220	15	evolutionary	evolutionary	ADJ
cana-2251	220	16	computing	computing	NOUN
cana-2251	220	17	outperforms	outperform	NOUN
cana-2251	220	18	qnns	qnn	NOUN
cana-2251	220	19	,	,	PUNCT
cana-2251	220	20	mhas	mha	NOUN
cana-2251	220	21	,	,	PUNCT
cana-2251	220	22	and	and	CCONJ
cana-2251	220	23	cnns	cnn	VERB
cana-2251	220	24	in	in	ADP
cana-2251	220	25	prediction	prediction	NOUN
cana-2251	220	26	accuracy	accuracy	NOUN
cana-2251	220	27	.	.	PUNCT
cana-2251	221	1	due	due	ADP
cana-2251	221	2	to	to	ADP
cana-2251	221	3	its	its	PRON
cana-2251	221	4	ideal	ideal	ADJ
cana-2251	221	5	design	design	NOUN
cana-2251	221	6	and	and	CCONJ
cana-2251	221	7	multilayered	multilayered	ADJ
cana-2251	221	8	structure	structure	NOUN
cana-2251	221	9	,	,	PUNCT
cana-2251	221	10	hann	hann	PROPN
cana-2251	221	11	combines	combine	VERB
cana-2251	221	12	the	the	DET
cana-2251	221	13	strengths	strength	NOUN
cana-2251	221	14	of	of	ADP
cana-2251	221	15	numerous	numerous	ADJ
cana-2251	221	16	neural	neural	ADJ
cana-2251	221	17	network	network	NOUN
cana-2251	221	18	architectures	architecture	NOUN
cana-2251	221	19	,	,	PUNCT
cana-2251	221	20	improving	improve	VERB
cana-2251	221	21	accuracy	accuracy	NOUN
cana-2251	221	22	.	.	PUNCT
cana-2251	222	1	the	the	DET
cana-2251	222	2	cnn	cnn	PROPN
cana-2251	222	3	and	and	CCONJ
cana-2251	222	4	rnn	rnn	NOUN
cana-2251	222	5	layers	layer	NOUN
cana-2251	222	6	can	can	AUX
cana-2251	222	7	capture	capture	VERB
cana-2251	222	8	tiny	tiny	ADJ
cana-2251	222	9	spatial	spatial	ADJ
cana-2251	222	10	properties	property	NOUN
cana-2251	222	11	and	and	CCONJ
cana-2251	222	12	interaction	interaction	NOUN
cana-2251	222	13	patterns	pattern	NOUN
cana-2251	222	14	in	in	ADP
cana-2251	222	15	drug	drug	NOUN
cana-2251	222	16	discovery	discovery	NOUN
cana-2251	222	17	data	datum	NOUN
cana-2251	222	18	,	,	PUNCT
cana-2251	222	19	while	while	SCONJ
cana-2251	222	20	the	the	DET
cana-2251	222	21	hann	hann	PROPN
cana-2251	222	22	's	's	PART
cana-2251	222	23	linked	link	VERB
cana-2251	222	24	layers	layer	NOUN
cana-2251	222	25	allow	allow	VERB
cana-2251	222	26	high	high	ADJ
cana-2251	222	27	-	-	PUNCT
cana-2251	222	28	level	level	NOUN
cana-2251	222	29	judgments	judgment	NOUN
cana-2251	222	30	.	.	PUNCT
cana-2251	223	1	the	the	DET
cana-2251	223	2	ec	ec	PROPN
cana-2251	223	3	module	module	NOUN
cana-2251	223	4	adjusts	adjust	VERB
cana-2251	223	5	hyperparameters	hyperparameter	NOUN
cana-2251	223	6	,	,	PUNCT
cana-2251	223	7	activation	activation	NOUN
cana-2251	223	8	functions	function	NOUN
cana-2251	223	9	,	,	PUNCT
cana-2251	223	10	and	and	CCONJ
cana-2251	223	11	layer	layer	NOUN
cana-2251	223	12	count	count	NOUN
cana-2251	223	13	to	to	PART
cana-2251	223	14	improve	improve	VERB
cana-2251	223	15	model	model	NOUN
cana-2251	223	16	accuracy	accuracy	NOUN
cana-2251	223	17	and	and	CCONJ
cana-2251	223	18	reduce	reduce	VERB
cana-2251	223	19	prediction	prediction	NOUN
cana-2251	223	20	errors.cnns	errors.cnn	NOUN
cana-2251	223	21	,	,	PUNCT
cana-2251	223	22	qnns	qnn	NOUN
cana-2251	223	23	,	,	PUNCT
cana-2251	223	24	and	and	CCONJ
cana-2251	223	25	mha	mha	NOUN
cana-2251	223	26	perform	perform	VERB
cana-2251	223	27	poorly	poorly	ADV
cana-2251	223	28	on	on	ADP
cana-2251	223	29	high	high	ADJ
cana-2251	223	30	-	-	PUNCT
cana-2251	223	31	dimensional	dimensional	ADJ
cana-2251	223	32	drug	drug	NOUN
cana-2251	223	33	discovery	discovery	NOUN
cana-2251	223	34	datasets	dataset	NOUN
cana-2251	223	35	whilebeing	whilebee	VERB
cana-2251	223	36	able	able	ADJ
cana-2251	223	37	to	to	PART
cana-2251	223	38	discern	discern	VERB
cana-2251	223	39	quantum	quantum	ADJ
cana-2251	223	40	mechanics	mechanic	NOUN
cana-2251	223	41	patterns	pattern	NOUN
cana-2251	223	42	.	.	PUNCT
cana-2251	224	1	because	because	SCONJ
cana-2251	224	2	these	these	DET
cana-2251	224	3	neural	neural	ADJ
cana-2251	224	4	networks	network	NOUN
cana-2251	224	5	can	can	AUX
cana-2251	224	6	not	not	PART
cana-2251	224	7	generalize	generalize	VERB
cana-2251	224	8	complex	complex	ADJ
cana-2251	224	9	spatial	spatial	ADJ
cana-2251	224	10	associations.the	associations.the	DET
cana-2251	224	11	hann	hann	PROPN
cana-2251	224	12	is	be	AUX
cana-2251	224	13	better	well	ADJ
cana-2251	224	14	at	at	ADP
cana-2251	224	15	managing	manage	VERB
cana-2251	224	16	spatial	spatial	ADJ
cana-2251	224	17	and	and	CCONJ
cana-2251	224	18	contextual	contextual	ADJ
cana-2251	224	19	patterns	pattern	NOUN
cana-2251	224	20	to	to	PART
cana-2251	224	21	find	find	VERB
cana-2251	224	22	drug	drug	NOUN
cana-2251	224	23	candidates	candidate	NOUN
cana-2251	224	24	more	more	ADV
cana-2251	224	25	accurately	accurately	ADV
cana-2251	224	26	.	.	PUNCT
cana-2251	225	1	the	the	DET
cana-2251	225	2	hybrid	hybrid	ADJ
cana-2251	225	3	hann	hann	PROPN
cana-2251	225	4	structure	structure	NOUN
cana-2251	225	5	and	and	CCONJ
cana-2251	225	6	evolutionary	evolutionary	ADJ
cana-2251	225	7	optimization	optimization	NOUN
cana-2251	225	8	improve	improve	VERB
cana-2251	225	9	prediction	prediction	NOUN
cana-2251	225	10	accuracy	accuracy	NOUN
cana-2251	225	11	for	for	ADP
cana-2251	225	12	various	various	ADJ
cana-2251	225	13	drug	drug	NOUN
cana-2251	225	14	discovery	discovery	NOUN
cana-2251	225	15	jobs	job	NOUN
cana-2251	225	16	,	,	PUNCT
cana-2251	225	17	ensuring	ensure	VERB
cana-2251	225	18	more	more	ADV
cana-2251	225	19	dependable	dependable	ADJ
cana-2251	225	20	and	and	CCONJ
cana-2251	225	21	insightful	insightful	ADJ
cana-2251	225	22	results	result	NOUN
cana-2251	225	23	.	.	PUNCT
cana-2251	226	1	table	table	NOUN
cana-2251	226	2	1	1	NUM
cana-2251	226	3	:	:	PUNCT
cana-2251	226	4	prediction	prediction	NOUN
cana-2251	226	5	accuracy	accuracy	NOUN
cana-2251	226	6	model	model	NOUN
cana-2251	226	7	prediction	prediction	NOUN
cana-2251	226	8	accuracy	accuracy	NOUN
cana-2251	226	9	(	(	PUNCT
cana-2251	226	10	%	%	INTJ
cana-2251	226	11	)	)	PUNCT
cana-2251	226	12	hann	hann	PROPN
cana-2251	226	13	93.5	93.5	NUM
cana-2251	226	14	qnn	qnn	NOUN
cana-2251	226	15	89.7	89.7	NUM
cana-2251	226	16	mha	mha	NOUN
cana-2251	226	17	84.5	84.5	NUM
cana-2251	226	18	cnn	cnn	PROPN
cana-2251	226	19	81.4	81.4	NUM
cana-2251	226	20	4.2	4.2	NUM
cana-2251	226	21	.	.	PUNCT
cana-2251	227	1	convergence	convergence	NOUN
cana-2251	227	2	speed	speed	NOUN
cana-2251	227	3	during	during	ADP
cana-2251	227	4	training	training	NOUN
cana-2251	227	5	,	,	PUNCT
cana-2251	227	6	a	a	DET
cana-2251	227	7	model	model	NOUN
cana-2251	227	8	's	's	PART
cana-2251	227	9	convergence	convergence	NOUN
cana-2251	227	10	speed	speed	NOUN
cana-2251	227	11	is	be	AUX
cana-2251	227	12	the	the	DET
cana-2251	227	13	rate	rate	NOUN
cana-2251	227	14	at	at	ADP
cana-2251	227	15	which	which	PRON
cana-2251	227	16	it	it	PRON
cana-2251	227	17	finds	find	VERB
cana-2251	227	18	an	an	DET
cana-2251	227	19	optimal	optimal	ADJ
cana-2251	227	20	solution	solution	NOUN
cana-2251	227	21	.	.	PUNCT
cana-2251	228	1	in	in	ADP
cana-2251	228	2	comparison	comparison	NOUN
cana-2251	228	3	to	to	ADP
cana-2251	228	4	more	more	ADV
cana-2251	228	5	traditional	traditional	ADJ
cana-2251	228	6	approaches	approach	NOUN
cana-2251	228	7	,	,	PUNCT
cana-2251	228	8	such	such	ADJ
cana-2251	228	9	as	as	ADP
cana-2251	228	10	qnn	qnn	NOUN
cana-2251	228	11	,	,	PUNCT
cana-2251	228	12	mha	mha	PROPN
cana-2251	228	13	,	,	PUNCT
cana-2251	228	14	and	and	CCONJ
cana-2251	228	15	cnn	cnn	PROPN
cana-2251	228	16	,	,	PUNCT
cana-2251	228	17	the	the	DET
cana-2251	228	18	evolutionary	evolutionary	ADJ
cana-2251	228	19	computing	computing	NOUN
cana-2251	228	20	module	module	NOUN
cana-2251	228	21	of	of	ADP
cana-2251	228	22	the	the	DET
cana-2251	228	23	hann	hann	PROPN
cana-2251	228	24	dramatically	dramatically	ADV
cana-2251	228	25	improves	improve	VERB
cana-2251	228	26	the	the	DET
cana-2251	228	27	convergence	convergence	NOUN
cana-2251	228	28	speed	speed	NOUN
cana-2251	228	29	,	,	PUNCT
cana-2251	228	30	as	as	SCONJ
cana-2251	228	31	shown	show	VERB
cana-2251	228	32	in	in	ADP
cana-2251	228	33	figure	figure	NOUN
cana-2251	228	34	4	4	NUM
cana-2251	228	35	.	.	X
cana-2251	228	36	pso	pso	NOUN
cana-2251	228	37	and	and	CCONJ
cana-2251	228	38	neural	neural	ADJ
cana-2251	228	39	network	network	NOUN
cana-2251	228	40	algorithms	algorithm	NOUN
cana-2251	228	41	efficiently	efficiently	ADV
cana-2251	228	42	use	use	VERB
cana-2251	228	43	hyperparameter	hyperparameter	NOUN
cana-2251	228	44	adjustment	adjustment	NOUN
cana-2251	228	45	and	and	CCONJ
cana-2251	228	46	structural	structural	ADJ
cana-2251	228	47	adaptation	adaptation	NOUN
cana-2251	228	48	,	,	PUNCT
cana-2251	228	49	mainly	mainly	ADV
cana-2251	228	50	responsible	responsible	ADJ
cana-2251	228	51	for	for	ADP
cana-2251	228	52	this	this	DET
cana-2251	228	53	improvement	improvement	NOUN
cana-2251	228	54	.	.	PUNCT
cana-2251	229	1	the	the	DET
cana-2251	229	2	complicated	complicate	VERB
cana-2251	229	3	computations	computation	NOUN
cana-2251	229	4	involving	involve	VERB
cana-2251	229	5	quantum	quantum	ADJ
cana-2251	229	6	states	state	NOUN
cana-2251	229	7	and	and	CCONJ
cana-2251	229	8	entanglement	entanglement	NOUN
cana-2251	229	9	make	make	VERB
cana-2251	229	10	convergence	convergence	NOUN
cana-2251	229	11	challenging	challenge	VERB
cana-2251	229	12	for	for	ADP
cana-2251	229	13	qnns	qnn	NOUN
cana-2251	229	14	,	,	PUNCT
cana-2251	229	15	mha	mha	PROPN
cana-2251	229	16	,	,	PUNCT
cana-2251	229	17	and	and	CCONJ
cana-2251	229	18	cnn	cnn	PROPN
cana-2251	229	19	.	.	PUNCT
cana-2251	230	1	since	since	SCONJ
cana-2251	230	2	qnns	qnn	NOUN
cana-2251	230	3	use	use	VERB
cana-2251	230	4	an	an	DET
cana-2251	230	5	iterative	iterative	NOUN
cana-2251	230	6	approach	approach	NOUN
cana-2251	230	7	,	,	PUNCT
cana-2251	230	8	fine	fine	ADV
cana-2251	230	9	-	-	PUNCT
cana-2251	230	10	tuning	tuning	NOUN
cana-2251	230	11	may	may	AUX
cana-2251	230	12	take	take	VERB
cana-2251	230	13	longer	long	ADV
cana-2251	230	14	and	and	CCONJ
cana-2251	230	15	include	include	VERB
cana-2251	230	16	more	more	ADJ
cana-2251	230	17	iteration	iteration	NOUN
cana-2251	230	18	.	.	PUNCT
cana-2251	231	1	however	however	ADV
cana-2251	231	2	,	,	PUNCT
cana-2251	231	3	hann	hann	PROPN
cana-2251	231	4	maximizes	maximize	VERB
cana-2251	231	5	its	its	PRON
cana-2251	231	6	structure	structure	NOUN
cana-2251	231	7	with	with	ADP
cana-2251	231	8	fewer	few	ADJ
cana-2251	231	9	iterations	iteration	NOUN
cana-2251	231	10	and	and	CCONJ
cana-2251	231	11	faster	fast	ADJ
cana-2251	231	12	convergence	convergence	NOUN
cana-2251	231	13	because	because	SCONJ
cana-2251	231	14	of	of	ADP
cana-2251	231	15	its	its	PRON
cana-2251	231	16	adaptive	adaptive	ADJ
cana-2251	231	17	evolutionary	evolutionary	ADJ
cana-2251	231	18	learning	learning	NOUN
cana-2251	231	19	process	process	NOUN
cana-2251	231	20	.	.	PUNCT
cana-2251	232	1	it	it	PRON
cana-2251	232	2	makes	make	VERB
cana-2251	232	3	hann	hann	PROPN
cana-2251	232	4	a	a	DET
cana-2251	232	5	more	more	ADV
cana-2251	232	6	efficient	efficient	ADJ
cana-2251	232	7	training	training	NOUN
cana-2251	232	8	tool	tool	NOUN
cana-2251	232	9	,	,	PUNCT
cana-2251	232	10	especially	especially	ADV
cana-2251	232	11	for	for	ADP
cana-2251	232	12	complicated	complicated	ADJ
cana-2251	232	13	drug	drug	NOUN
cana-2251	232	14	discovery	discovery	NOUN
cana-2251	232	15	datasets	dataset	NOUN
cana-2251	232	16	and	and	CCONJ
cana-2251	232	17	speeds	speed	NOUN
cana-2251	232	18	up	up	ADP
cana-2251	232	19	its	its	PRON
cana-2251	232	20	convergence	convergence	NOUN
cana-2251	232	21	to	to	ADP
cana-2251	232	22	an	an	DET
cana-2251	232	23	optimal	optimal	ADJ
cana-2251	232	24	solution	solution	NOUN
cana-2251	232	25	.	.	PUNCT
cana-2251	233	1	because	because	SCONJ
cana-2251	233	2	of	of	ADP
cana-2251	233	3	this	this	DET
cana-2251	233	4	benefit	benefit	NOUN
cana-2251	233	5	,	,	PUNCT
cana-2251	233	6	hann	hann	PROPN
cana-2251	233	7	is	be	AUX
cana-2251	233	8	a	a	DET
cana-2251	233	9	viable	viable	ADJ
cana-2251	233	10	option	option	NOUN
cana-2251	233	11	for	for	ADP
cana-2251	233	12	large	large	ADJ
cana-2251	233	13	-	-	PUNCT
cana-2251	233	14	scale	scale	NOUN
cana-2251	233	15	drug	drug	NOUN
cana-2251	233	16	discovery	discovery	NOUN
cana-2251	233	17	projects	project	NOUN
cana-2251	233	18	,	,	PUNCT
cana-2251	233	19	even	even	ADV
cana-2251	233	20	when	when	SCONJ
cana-2251	233	21	time	time	NOUN
cana-2251	233	22	and	and	CCONJ
cana-2251	233	23	computing	computing	NOUN
cana-2251	233	24	resources	resource	NOUN
cana-2251	233	25	are	be	AUX
cana-2251	233	26	constrained	constrain	VERB
cana-2251	233	27	.	.	PUNCT
cana-2251	234	1	communications	communication	NOUN
cana-2251	234	2	on	on	ADP
cana-2251	234	3	applied	apply	VERB
cana-2251	234	4	nonlinear	nonlinear	ADJ
cana-2251	234	5	analysis	analysis	NOUN
cana-2251	234	6	issn	issn	NOUN
cana-2251	234	7	:	:	PUNCT
cana-2251	234	8	1074	1074	NUM
cana-2251	234	9	-	-	PUNCT
cana-2251	234	10	133x	133x	NUM
cana-2251	234	11	vol	vol	NOUN
cana-2251	234	12	32	32	NUM
cana-2251	234	13	no	no	NOUN
cana-2251	234	14	.	.	PUNCT
cana-2251	235	1	2s	2s	NUM
cana-2251	235	2	(	(	PUNCT
cana-2251	235	3	2025	2025	NUM
cana-2251	235	4	)	)	PUNCT
cana-2251	235	5	73	73	NUM
cana-2251	235	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2251	235	7	figure	figure	NOUN
cana-2251	235	8	3	3	NUM
cana-2251	235	9	:	:	PUNCT
cana-2251	235	10	convergence	convergence	NOUN
cana-2251	235	11	speed	speed	NOUN
cana-2251	235	12	4.3	4.3	NUM
cana-2251	235	13	.	.	PUNCT
cana-2251	235	14	model	model	NOUN
cana-2251	235	15	durability	durability	NOUN
cana-2251	235	16	a	a	DET
cana-2251	235	17	hann	hann	NOUN
cana-2251	235	18	can	can	AUX
cana-2251	235	19	be	be	AUX
cana-2251	235	20	made	make	VERB
cana-2251	235	21	more	more	ADV
cana-2251	235	22	resistant	resistant	ADJ
cana-2251	235	23	to	to	ADP
cana-2251	235	24	input	input	NOUN
cana-2251	235	25	patterns	pattern	NOUN
cana-2251	235	26	and	and	CCONJ
cana-2251	235	27	environment	environment	NOUN
cana-2251	235	28	changes	change	NOUN
cana-2251	235	29	by	by	ADP
cana-2251	235	30	using	use	VERB
cana-2251	235	31	evolutionary	evolutionary	ADJ
cana-2251	235	32	computing	computing	NOUN
cana-2251	235	33	.	.	PUNCT
cana-2251	236	1	the	the	DET
cana-2251	236	2	hann	hann	PROPN
cana-2251	236	3	outlasts	outlast	VERB
cana-2251	236	4	qnn	qnn	NOUN
cana-2251	236	5	,	,	PUNCT
cana-2251	236	6	mha	mha	PROPN
cana-2251	236	7	,	,	PUNCT
cana-2251	236	8	and	and	CCONJ
cana-2251	236	9	cnn	cnn	PROPN
cana-2251	236	10	.	.	PUNCT
cana-2251	237	1	the	the	DET
cana-2251	237	2	average	average	ADJ
cana-2251	237	3	accuracy	accuracy	NOUN
cana-2251	237	4	stability	stability	NOUN
cana-2251	237	5	of	of	ADP
cana-2251	237	6	94	94	NUM
cana-2251	237	7	%	%	NOUN
cana-2251	237	8	of	of	ADP
cana-2251	237	9	hann	hann	PROPN
cana-2251	237	10	over	over	ADP
cana-2251	237	11	fifty	fifty	NUM
cana-2251	237	12	test	test	NOUN
cana-2251	237	13	circumstances	circumstance	NOUN
cana-2251	237	14	showed	show	VERB
cana-2251	237	15	its	its	PRON
cana-2251	237	16	longevity	longevity	NOUN
cana-2251	237	17	.	.	PUNCT
cana-2251	238	1	this	this	PRON
cana-2251	238	2	was	be	AUX
cana-2251	238	3	achieved	achieve	VERB
cana-2251	238	4	by	by	ADP
cana-2251	238	5	exposing	expose	VERB
cana-2251	238	6	the	the	DET
cana-2251	238	7	models	model	NOUN
cana-2251	238	8	to	to	PART
cana-2251	238	9	noise	noise	VERB
cana-2251	238	10	,	,	PUNCT
cana-2251	238	11	new	new	ADJ
cana-2251	238	12	data	datum	NOUN
cana-2251	238	13	,	,	PUNCT
cana-2251	238	14	and	and	CCONJ
cana-2251	238	15	environmental	environmental	ADJ
cana-2251	238	16	changes	change	NOUN
cana-2251	238	17	.	.	PUNCT
cana-2251	239	1	under	under	ADP
cana-2251	239	2	high	high	ADJ
cana-2251	239	3	-	-	PUNCT
cana-2251	239	4	noise	noise	NOUN
cana-2251	239	5	conditions	condition	NOUN
cana-2251	239	6	,	,	PUNCT
cana-2251	239	7	hann	hann	PROPN
cana-2251	239	8	did	do	AUX
cana-2251	239	9	not	not	PART
cana-2251	239	10	lose	lose	VERB
cana-2251	239	11	prediction	prediction	NOUN
cana-2251	239	12	accuracy	accuracy	NOUN
cana-2251	239	13	,	,	PUNCT
cana-2251	239	14	decreasing	decrease	VERB
cana-2251	239	15	only	only	ADV
cana-2251	239	16	2.3	2.3	NUM
cana-2251	239	17	%	%	NOUN
cana-2251	239	18	.	.	PUNCT
cana-2251	240	1	qnn	qnn	PROPN
cana-2251	240	2	fell	fall	VERB
cana-2251	240	3	6.7	6.7	NUM
cana-2251	240	4	%	%	NOUN
cana-2251	240	5	,	,	PUNCT
cana-2251	240	6	mha	mha	PROPN
cana-2251	240	7	4.9	4.9	NUM
cana-2251	240	8	%	%	NOUN
cana-2251	240	9	,	,	PUNCT
cana-2251	240	10	and	and	CCONJ
cana-2251	240	11	cnn	cnn	PROPN
cana-2251	240	12	5.6	5.6	NUM
cana-2251	240	13	%	%	NOUN
cana-2251	240	14	.	.	PUNCT
cana-2251	241	1	for	for	ADP
cana-2251	241	2	medications	medication	NOUN
cana-2251	241	3	its	its	PRON
cana-2251	241	4	users	user	NOUN
cana-2251	241	5	had	have	AUX
cana-2251	241	6	never	never	ADV
cana-2251	241	7	seen	see	VERB
cana-2251	241	8	,	,	PUNCT
cana-2251	241	9	hann	hann	PROPN
cana-2251	241	10	maintained	maintain	VERB
cana-2251	241	11	96.2	96.2	NUM
cana-2251	241	12	%	%	NOUN
cana-2251	241	13	of	of	ADP
cana-2251	241	14	its	its	PRON
cana-2251	241	15	prediction	prediction	NOUN
cana-2251	241	16	accuracy	accuracy	NOUN
cana-2251	241	17	,	,	PUNCT
cana-2251	241	18	compared	compare	VERB
cana-2251	241	19	to	to	ADP
cana-2251	241	20	qnn	qnn	X
cana-2251	241	21	(	(	PUNCT
cana-2251	241	22	88.5	88.5	NUM
cana-2251	241	23	%	%	NOUN
cana-2251	241	24	)	)	PUNCT
cana-2251	241	25	,	,	PUNCT
cana-2251	241	26	mha	mha	PROPN
cana-2251	241	27	(	(	PUNCT
cana-2251	241	28	91.4	91.4	NUM
cana-2251	241	29	%	%	NOUN
cana-2251	241	30	)	)	PUNCT
cana-2251	241	31	,	,	PUNCT
cana-2251	241	32	and	and	CCONJ
cana-2251	241	33	cnn	cnn	PROPN
cana-2251	241	34	(	(	PUNCT
cana-2251	241	35	89.7	89.7	NUM
cana-2251	241	36	%	%	NOUN
cana-2251	241	37	)	)	PUNCT
cana-2251	241	38	.	.	PUNCT
cana-2251	242	1	the	the	DET
cana-2251	242	2	network	network	NOUN
cana-2251	242	3	may	may	AUX
cana-2251	242	4	adapt	adapt	VERB
cana-2251	242	5	to	to	ADP
cana-2251	242	6	new	new	ADJ
cana-2251	242	7	inputs	input	NOUN
cana-2251	242	8	through	through	ADP
cana-2251	242	9	evolutionary	evolutionary	ADJ
cana-2251	242	10	computing	computing	NOUN
cana-2251	242	11	and	and	CCONJ
cana-2251	242	12	an	an	DET
cana-2251	242	13	adaptable	adaptable	ADJ
cana-2251	242	14	topology	topology	NOUN
cana-2251	242	15	,	,	PUNCT
cana-2251	242	16	ensuring	ensure	VERB
cana-2251	242	17	stable	stable	ADJ
cana-2251	242	18	performance	performance	NOUN
cana-2251	242	19	.	.	PUNCT
cana-2251	243	1	the	the	DET
cana-2251	243	2	table	table	NOUN
cana-2251	243	3	below	below	ADP
cana-2251	243	4	compares	compare	VERB
cana-2251	243	5	the	the	DET
cana-2251	243	6	model	model	NOUN
cana-2251	243	7	's	's	PART
cana-2251	243	8	stability	stability	NOUN
cana-2251	243	9	under	under	ADP
cana-2251	243	10	various	various	ADJ
cana-2251	243	11	test	test	NOUN
cana-2251	243	12	settings	setting	NOUN
cana-2251	243	13	.	.	PUNCT
cana-2251	244	1	table	table	NOUN
cana-2251	244	2	2	2	NUM
cana-2251	244	3	:	:	PUNCT
cana-2251	244	4	model	model	NOUN
cana-2251	244	5	durability	durability	NOUN
cana-2251	244	6	analysis	analysis	NOUN
cana-2251	244	7	model	model	NOUN
cana-2251	244	8	accuracy	accuracy	NOUN
cana-2251	244	9	drop	drop	NOUN
cana-2251	244	10	accuracy	accuracy	NOUN
cana-2251	244	11	retained	retain	VERB
cana-2251	244	12	hann	hann	PROPN
cana-2251	244	13	2.4	2.4	NUM
cana-2251	244	14	%	%	NOUN
cana-2251	244	15	96.2	96.2	NUM
cana-2251	244	16	%	%	NOUN
cana-2251	244	17	qnn	qnn	VERB
cana-2251	244	18	6.6	6.6	NUM
cana-2251	244	19	%	%	NOUN
cana-2251	244	20	88.5	88.5	NUM
cana-2251	244	21	%	%	NOUN
cana-2251	244	22	mha	mha	NOUN
cana-2251	244	23	4.8	4.8	NUM
cana-2251	244	24	%	%	NOUN
cana-2251	244	25	92.45	92.45	NUM
cana-2251	244	26	%	%	NOUN
cana-2251	244	27	cnn	cnn	PROPN
cana-2251	244	28	5.6	5.6	NUM
cana-2251	244	29	%	%	NOUN
cana-2251	244	30	88.7	88.7	NUM
cana-2251	244	31	%	%	NOUN
cana-2251	244	32	hann	hann	NOUN
cana-2251	244	33	's	's	PART
cana-2251	244	34	prediction	prediction	NOUN
cana-2251	244	35	accuracy	accuracy	NOUN
cana-2251	244	36	of	of	ADP
cana-2251	244	37	92.5	92.5	NUM
cana-2251	244	38	%	%	NOUN
cana-2251	244	39	shows	show	VERB
cana-2251	244	40	that	that	SCONJ
cana-2251	244	41	it	it	PRON
cana-2251	244	42	manages	manage	VERB
cana-2251	244	43	difficult	difficult	ADJ
cana-2251	244	44	drug	drug	NOUN
cana-2251	244	45	development	development	NOUN
cana-2251	244	46	jobs	job	NOUN
cana-2251	244	47	better	well	ADJ
cana-2251	244	48	than	than	ADP
cana-2251	244	49	any	any	DET
cana-2251	244	50	other	other	ADJ
cana-2251	244	51	model	model	NOUN
cana-2251	244	52	.	.	PUNCT
cana-2251	245	1	hann	hann	PROPN
cana-2251	245	2	had	have	VERB
cana-2251	245	3	the	the	DET
cana-2251	245	4	fastest	fast	ADJ
cana-2251	245	5	learning	learn	VERB
cana-2251	245	6	rate	rate	NOUN
cana-2251	245	7	and	and	CCONJ
cana-2251	245	8	lowest	low	ADJ
cana-2251	245	9	loss	loss	NOUN
cana-2251	245	10	compared	compare	VERB
cana-2251	245	11	to	to	ADP
cana-2251	245	12	cnn	cnn	PROPN
cana-2251	245	13	,	,	PUNCT
cana-2251	245	14	qnn	qnn	PROPN
cana-2251	245	15	,	,	PUNCT
cana-2251	245	16	and	and	CCONJ
cana-2251	245	17	mha	mha	PROPN
cana-2251	245	18	,	,	PUNCT
cana-2251	245	19	which	which	PRON
cana-2251	245	20	had	have	VERB
cana-2251	245	21	slower	slow	ADJ
cana-2251	245	22	convergence	convergence	NOUN
cana-2251	245	23	rates	rate	NOUN
cana-2251	245	24	and	and	CCONJ
cana-2251	245	25	losses	loss	NOUN
cana-2251	245	26	that	that	PRON
cana-2251	245	27	stabilized	stabilize	VERB
cana-2251	245	28	at	at	ADP
cana-2251	245	29	higher	high	ADJ
cana-2251	245	30	levels	level	NOUN
cana-2251	245	31	.	.	PUNCT
cana-2251	246	1	the	the	DET
cana-2251	246	2	model	model	NOUN
cana-2251	246	3	durability	durability	NOUN
cana-2251	246	4	research	research	NOUN
cana-2251	246	5	shows	show	VERB
cana-2251	246	6	that	that	SCONJ
cana-2251	246	7	hann	hann	X
cana-2251	246	8	(	(	PUNCT
cana-2251	246	9	2.3	2.3	NUM
cana-2251	246	10	%	%	NOUN
cana-2251	246	11	)	)	PUNCT
cana-2251	246	12	has	have	VERB
cana-2251	246	13	a	a	DET
cana-2251	246	14	moderate	moderate	ADJ
cana-2251	246	15	accuracy	accuracy	NOUN
cana-2251	246	16	decline	decline	NOUN
cana-2251	246	17	under	under	ADP
cana-2251	246	18	high	high	ADJ
cana-2251	246	19	-	-	PUNCT
cana-2251	246	20	noise	noise	NOUN
cana-2251	246	21	conditions	condition	NOUN
cana-2251	246	22	.	.	PUNCT
cana-2251	247	1	in	in	ADP
cana-2251	247	2	comparison	comparison	NOUN
cana-2251	247	3	,	,	PUNCT
cana-2251	247	4	qnn	qnn	X
cana-2251	247	5	(	(	PUNCT
cana-2251	247	6	6.7	6.7	NUM
cana-2251	247	7	%	%	NOUN
cana-2251	247	8	accuracy	accuracy	NOUN
cana-2251	247	9	loss	loss	NOUN
cana-2251	247	10	)	)	PUNCT
cana-2251	247	11	,	,	PUNCT
cana-2251	247	12	mha	mha	PROPN
cana-2251	247	13	(	(	PUNCT
cana-2251	247	14	4.9	4.9	NUM
cana-2251	247	15	%	%	NOUN
cana-2251	247	16	loss	loss	NOUN
cana-2251	247	17	)	)	PUNCT
cana-2251	247	18	,	,	PUNCT
cana-2251	247	19	and	and	CCONJ
cana-2251	247	20	cnn	cnn	PROPN
cana-2251	247	21	(	(	PUNCT
cana-2251	247	22	5.6	5.6	NUM
cana-2251	247	23	%	%	NOUN
cana-2251	247	24	loss	loss	NOUN
cana-2251	247	25	)	)	PUNCT
cana-2251	247	26	lose	lose	VERB
cana-2251	247	27	accuracy	accuracy	NOUN
cana-2251	247	28	more	more	ADJ
cana-2251	247	29	.	.	PUNCT
cana-2251	248	1	due	due	ADP
cana-2251	248	2	to	to	ADP
cana-2251	248	3	its	its	PRON
cana-2251	248	4	high	high	ADJ
cana-2251	248	5	accuracy	accuracy	NOUN
cana-2251	248	6	,	,	PUNCT
cana-2251	248	7	rapid	rapid	ADJ
cana-2251	248	8	convergence	convergence	NOUN
cana-2251	248	9	,	,	PUNCT
cana-2251	248	10	and	and	CCONJ
cana-2251	248	11	robust	robust	ADJ
cana-2251	248	12	performance	performance	NOUN
cana-2251	248	13	under	under	ADP
cana-2251	248	14	many	many	ADJ
cana-2251	248	15	conditions	condition	NOUN
cana-2251	248	16	,	,	PUNCT
cana-2251	248	17	the	the	DET
cana-2251	248	18	hann	hann	PROPN
cana-2251	248	19	model	model	NOUN
cana-2251	248	20	is	be	AUX
cana-2251	248	21	a	a	DET
cana-2251	248	22	reliable	reliable	ADJ
cana-2251	248	23	and	and	CCONJ
cana-2251	248	24	successful	successful	ADJ
cana-2251	248	25	drug	drug	NOUN
cana-2251	248	26	development	development	NOUN
cana-2251	248	27	method	method	NOUN
cana-2251	248	28	.	.	PUNCT
cana-2251	249	1	5	5	X
cana-2251	249	2	.	.	X
cana-2251	249	3	conclusion	conclusion	NOUN
cana-2251	249	4	the	the	DET
cana-2251	249	5	paper	paper	NOUN
cana-2251	249	6	suggests	suggest	VERB
cana-2251	249	7	a	a	DET
cana-2251	249	8	new	new	ADJ
cana-2251	249	9	drug	drug	NOUN
cana-2251	249	10	discovery	discovery	NOUN
cana-2251	249	11	technique	technique	NOUN
cana-2251	249	12	using	use	VERB
cana-2251	249	13	evolutionary	evolutionary	ADJ
cana-2251	249	14	computing	computing	NOUN
cana-2251	249	15	and	and	CCONJ
cana-2251	249	16	hybrid	hybrid	ADJ
cana-2251	249	17	artificial	artificial	ADJ
cana-2251	249	18	neural	neural	ADJ
cana-2251	249	19	networks	network	NOUN
cana-2251	249	20	(	(	PUNCT
cana-2251	249	21	hann	hann	PROPN
cana-2251	249	22	)	)	PUNCT
cana-2251	249	23	.	.	PUNCT
cana-2251	250	1	it	it	PRON
cana-2251	250	2	outperforms	outperform	VERB
cana-2251	250	3	cnn	cnn	PROPN
cana-2251	250	4	,	,	PUNCT
cana-2251	250	5	qnn	qnn	PROPN
cana-2251	250	6	,	,	PUNCT
cana-2251	250	7	and	and	CCONJ
cana-2251	250	8	mha	mha	NOUN
cana-2251	250	9	.	.	PUNCT
cana-2251	251	1	its	its	PRON
cana-2251	251	2	92.5	92.5	NUM
cana-2251	251	3	%	%	NOUN
cana-2251	251	4	prediction	prediction	NOUN
cana-2251	251	5	accuracy	accuracy	NOUN
cana-2251	251	6	showed	show	VERB
cana-2251	251	7	that	that	SCONJ
cana-2251	251	8	the	the	DET
cana-2251	251	9	hann	hann	PROPN
cana-2251	251	10	model	model	NOUN
cana-2251	251	11	can	can	AUX
cana-2251	251	12	navigate	navigate	VERB
cana-2251	251	13	the	the	DET
cana-2251	251	14	complex	complex	ADJ
cana-2251	251	15	drug	drug	NOUN
cana-2251	251	16	development	development	NOUN
cana-2251	251	17	process	process	NOUN
cana-2251	251	18	.	.	PUNCT
cana-2251	252	1	hann	hann	PROPN
cana-2251	252	2	also	also	ADV
cana-2251	252	3	had	have	VERB
cana-2251	252	4	excellent	excellent	ADJ
cana-2251	252	5	model	model	NOUN
cana-2251	252	6	endurance	endurance	NOUN
cana-2251	252	7	and	and	CCONJ
cana-2251	252	8	convergence	convergence	NOUN
cana-2251	252	9	speed	speed	NOUN
cana-2251	252	10	,	,	PUNCT
cana-2251	252	11	with	with	ADP
cana-2251	252	12	loss	loss	NOUN
cana-2251	252	13	values	value	NOUN
cana-2251	252	14	falling	fall	VERB
cana-2251	252	15	rapidly	rapidly	ADV
cana-2251	252	16	and	and	CCONJ
cana-2251	252	17	accuracy	accuracy	NOUN
cana-2251	252	18	dropping	drop	VERB
cana-2251	252	19	minimally	minimally	ADV
cana-2251	252	20	under	under	ADP
cana-2251	252	21	high	high	ADJ
cana-2251	252	22	-	-	PUNCT
cana-2251	252	23	noise	noise	NOUN
cana-2251	252	24	conditions	condition	NOUN
cana-2251	252	25	,	,	PUNCT
cana-2251	252	26	demonstrating	demonstrate	VERB
cana-2251	252	27	its	its	PRON
cana-2251	252	28	practical	practical	ADJ
cana-2251	252	29	resilience	resilience	NOUN
cana-2251	252	30	.	.	PUNCT
cana-2251	253	1	this	this	PRON
cana-2251	253	2	allowed	allow	VERB
cana-2251	253	3	hann	hann	PROPN
cana-2251	253	4	to	to	PART
cana-2251	253	5	show	show	VERB
cana-2251	253	6	its	its	PRON
cana-2251	253	7	durability	durability	NOUN
cana-2251	253	8	in	in	ADP
cana-2251	253	9	practice	practice	NOUN
cana-2251	253	10	.	.	PUNCT
cana-2251	254	1	due	due	ADP
cana-2251	254	2	to	to	ADP
cana-2251	254	3	the	the	DET
cana-2251	254	4	study	study	NOUN
cana-2251	254	5	's	's	PART
cana-2251	254	6	singular	singular	ADJ
cana-2251	254	7	dataset	dataset	NOUN
cana-2251	254	8	,	,	PUNCT
cana-2251	254	9	the	the	DET
cana-2251	254	10	0	0	NUM
cana-2251	254	11	0.2	0.2	NUM
cana-2251	254	12	0.4	0.4	NUM
cana-2251	254	13	0.6	0.6	NUM
cana-2251	254	14	0.8	0.8	NUM
cana-2251	254	15	1	1	NUM
cana-2251	254	16	1.2	1.2	NUM
cana-2251	254	17	2	2	NUM
cana-2251	254	18	0	0	NUM
cana-2251	254	19	4	4	NUM
cana-2251	254	20	0	0	NUM
cana-2251	254	21	6	6	NUM
cana-2251	254	22	0	0	NUM
cana-2251	254	23	8	8	NUM
cana-2251	254	24	0	0	NUM
cana-2251	254	25	1	1	NUM
cana-2251	254	26	0	0	NUM
cana-2251	254	27	0	0	NUM
cana-2251	254	28	1	1	NUM
cana-2251	254	29	2	2	NUM
cana-2251	254	30	0	0	NUM
cana-2251	254	31	1	1	NUM
cana-2251	254	32	4	4	NUM
cana-2251	254	33	0	0	NUM
cana-2251	254	34	1	1	NUM
cana-2251	254	35	6	6	NUM
cana-2251	254	36	0	0	NUM
cana-2251	254	37	1	1	NUM
cana-2251	254	38	8	8	NUM
cana-2251	254	39	0	0	NUM
cana-2251	254	40	2	2	NUM
cana-2251	254	41	0	0	NUM
cana-2251	254	42	0	0	NUM
cana-2251	254	43	c	c	NOUN
cana-2251	254	44	o	o	NOUN
cana-2251	254	45	n	n	INTJ
cana-2251	254	46	v	v	INTJ
cana-2251	254	47	er	er	INTJ
cana-2251	254	48	g	g	PROPN
cana-2251	254	49	en	en	PROPN
cana-2251	254	50	ce	ce	PROPN
cana-2251	254	51	s	s	PROPN
cana-2251	254	52	p	p	X
cana-2251	254	53	ee	ee	PROPN
cana-2251	254	54	d	d	PROPN
cana-2251	254	55	epochs	epoch	NOUN
cana-2251	254	56	hann	hann	PROPN
cana-2251	254	57	qnn	qnn	PROPN
cana-2251	254	58	mha	mha	PROPN
cana-2251	254	59	cnn	cnn	PROPN
cana-2251	254	60	communications	communication	NOUN
cana-2251	254	61	on	on	ADP
cana-2251	254	62	applied	apply	VERB
cana-2251	254	63	nonlinear	nonlinear	ADJ
cana-2251	254	64	analysis	analysis	NOUN
cana-2251	254	65	issn	issn	NOUN
cana-2251	254	66	:	:	PUNCT
cana-2251	254	67	1074	1074	NUM
cana-2251	254	68	-	-	PUNCT
cana-2251	254	69	133x	133x	NUM
cana-2251	254	70	vol	vol	NOUN
cana-2251	254	71	32	32	NUM
cana-2251	254	72	no	no	NOUN
cana-2251	254	73	.	.	PUNCT
cana-2251	255	1	2s	2s	NUM
cana-2251	255	2	(	(	PUNCT
cana-2251	255	3	2025	2025	NUM
cana-2251	255	4	)	)	PUNCT
cana-2251	255	5	74	74	NUM
cana-2251	255	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2251	255	7	conclusions	conclusion	NOUN
cana-2251	255	8	may	may	AUX
cana-2251	255	9	not	not	PART
cana-2251	255	10	apply	apply	VERB
cana-2251	255	11	to	to	ADP
cana-2251	255	12	other	other	ADJ
cana-2251	255	13	drug	drug	NOUN
cana-2251	255	14	discovery	discovery	NOUN
cana-2251	255	15	settings	setting	NOUN
cana-2251	255	16	.	.	PUNCT
cana-2251	256	1	researchers	researcher	NOUN
cana-2251	256	2	may	may	AUX
cana-2251	256	3	be	be	AUX
cana-2251	256	4	unable	unable	ADJ
cana-2251	256	5	to	to	PART
cana-2251	256	6	get	get	VERB
cana-2251	256	7	the	the	DET
cana-2251	256	8	resources	resource	NOUN
cana-2251	256	9	needed	need	VERB
cana-2251	256	10	to	to	PART
cana-2251	256	11	run	run	VERB
cana-2251	256	12	the	the	DET
cana-2251	256	13	ec	ec	PROPN
cana-2251	256	14	-	-	PUNCT
cana-2251	256	15	hann	hann	PROPN
cana-2251	256	16	model	model	NOUN
cana-2251	256	17	due	due	ADP
cana-2251	256	18	to	to	ADP
cana-2251	256	19	its	its	PRON
cana-2251	256	20	high	high	ADJ
cana-2251	256	21	processing	processing	NOUN
cana-2251	256	22	needs	need	NOUN
cana-2251	256	23	.	.	PUNCT
cana-2251	257	1	even	even	ADV
cana-2251	257	2	though	though	SCONJ
cana-2251	257	3	pso	pso	NOUN
cana-2251	257	4	improved	improve	VERB
cana-2251	257	5	model	model	NOUN
cana-2251	257	6	performance	performance	NOUN
cana-2251	257	7	,	,	PUNCT
cana-2251	257	8	alternative	alternative	ADJ
cana-2251	257	9	evolutionary	evolutionary	ADJ
cana-2251	257	10	methods	method	NOUN
cana-2251	257	11	may	may	AUX
cana-2251	257	12	be	be	AUX
cana-2251	257	13	better	well	ADV
cana-2251	257	14	studied	study	VERB
cana-2251	257	15	in	in	ADP
cana-2251	257	16	the	the	DET
cana-2251	257	17	future	future	NOUN
cana-2251	257	18	.	.	PUNCT
cana-2251	258	1	future	future	ADJ
cana-2251	258	2	studies	study	NOUN
cana-2251	258	3	should	should	AUX
cana-2251	258	4	employ	employ	VERB
cana-2251	258	5	larger	large	ADJ
cana-2251	258	6	datasets	dataset	NOUN
cana-2251	258	7	for	for	ADP
cana-2251	258	8	training	training	NOUN
cana-2251	258	9	and	and	CCONJ
cana-2251	258	10	validation	validation	NOUN
cana-2251	258	11	to	to	PART
cana-2251	258	12	improve	improve	VERB
cana-2251	258	13	model	model	NOUN
cana-2251	258	14	accuracy	accuracy	NOUN
cana-2251	258	15	and	and	CCONJ
cana-2251	258	16	usability	usability	NOUN
cana-2251	258	17	.	.	PUNCT
cana-2251	259	1	try	try	VERB
cana-2251	259	2	hybrid	hybrid	NOUN
cana-2251	259	3	models	model	NOUN
cana-2251	259	4	that	that	PRON
cana-2251	259	5	combine	combine	VERB
cana-2251	259	6	pso	pso	NOUN
cana-2251	259	7	with	with	ADP
cana-2251	259	8	other	other	ADJ
cana-2251	259	9	optimization	optimization	NOUN
cana-2251	259	10	methods	method	NOUN
cana-2251	259	11	to	to	PART
cana-2251	259	12	improve	improve	VERB
cana-2251	259	13	prediction	prediction	NOUN
cana-2251	259	14	accuracy	accuracy	NOUN
cana-2251	259	15	and	and	CCONJ
cana-2251	259	16	efficiency	efficiency	NOUN
cana-2251	259	17	.	.	PUNCT
cana-2251	260	1	future	future	ADJ
cana-2251	260	2	research	research	NOUN
cana-2251	260	3	should	should	AUX
cana-2251	260	4	improve	improve	VERB
cana-2251	260	5	the	the	DET
cana-2251	260	6	interpretability	interpretability	NOUN
cana-2251	260	7	of	of	ADP
cana-2251	260	8	the	the	DET
cana-2251	260	9	echann	echann	NOUN
cana-2251	260	10	model	model	NOUN
cana-2251	260	11	by	by	ADP
cana-2251	260	12	studying	study	VERB
cana-2251	260	13	its	its	PRON
cana-2251	260	14	mechanisms	mechanism	NOUN
cana-2251	260	15	to	to	PART
cana-2251	260	16	understand	understand	VERB
cana-2251	260	17	better	well	ADV
cana-2251	260	18	and	and	CCONJ
cana-2251	260	19	trust	trust	VERB
cana-2251	260	20	its	its	PRON
cana-2251	260	21	predictions.finally	predictions.finally	ADV
cana-2251	260	22	,	,	PUNCT
cana-2251	260	23	realworld	realworld	PROPN
cana-2251	260	24	case	case	NOUN
cana-2251	260	25	studies	study	NOUN
cana-2251	260	26	are	be	AUX
cana-2251	260	27	needed	need	VERB
cana-2251	260	28	to	to	PART
cana-2251	260	29	assess	assess	VERB
cana-2251	260	30	the	the	DET
cana-2251	260	31	practical	practical	ADJ
cana-2251	260	32	application	application	NOUN
cana-2251	260	33	of	of	ADP
cana-2251	260	34	the	the	DET
cana-2251	260	35	ec	ec	PROPN
cana-2251	260	36	-	-	PUNCT
cana-2251	260	37	hann	hann	PROPN
cana-2251	260	38	model	model	NOUN
cana-2251	260	39	in	in	ADP
cana-2251	260	40	drug	drug	NOUN
cana-2251	260	41	development	development	NOUN
cana-2251	260	42	.	.	PUNCT
cana-2251	261	1	it	it	PRON
cana-2251	261	2	is	be	AUX
cana-2251	261	3	necessary	necessary	ADJ
cana-2251	261	4	to	to	PART
cana-2251	261	5	evaluate	evaluate	VERB
cana-2251	261	6	the	the	DET
cana-2251	261	7	model	model	NOUN
cana-2251	261	8	and	and	CCONJ
cana-2251	261	9	detect	detect	VERB
cana-2251	261	10	implementation	implementation	NOUN
cana-2251	261	11	issues	issue	NOUN
cana-2251	261	12	.	.	PUNCT
cana-2251	262	1	references	reference	NOUN
cana-2251	262	2	[	[	X
cana-2251	262	3	1	1	NUM
cana-2251	262	4	]	]	PUNCT
cana-2251	262	5	agu	agu	NOUN
cana-2251	262	6	,	,	PUNCT
cana-2251	262	7	p.	p.	PROPN
cana-2251	262	8	c.	c.	PROPN
cana-2251	262	9	,	,	PUNCT
cana-2251	262	10	&	&	CCONJ
cana-2251	262	11	obulose	obulose	VERB
cana-2251	262	12	,	,	PUNCT
cana-2251	262	13	c.	c.	PROPN
cana-2251	262	14	n.	n.	PROPN
cana-2251	262	15	(	(	PUNCT
cana-2251	262	16	2024	2024	NUM
cana-2251	262	17	)	)	PUNCT
cana-2251	262	18	.	.	PUNCT
cana-2251	263	1	piquing	pique	VERB
cana-2251	263	2	artificial	artificial	ADJ
cana-2251	263	3	intelligence	intelligence	NOUN
cana-2251	263	4	towards	towards	ADP
cana-2251	263	5	drug	drug	NOUN
cana-2251	263	6	discovery	discovery	NOUN
cana-2251	263	7	:	:	PUNCT
cana-2251	263	8	tools	tool	NOUN
cana-2251	263	9	,	,	PUNCT
cana-2251	263	10	techniques	technique	NOUN
cana-2251	263	11	,	,	PUNCT
cana-2251	263	12	and	and	CCONJ
cana-2251	263	13	applications.drug	applications.drug	NUM
cana-2251	263	14	development	development	NOUN
cana-2251	263	15	research	research	NOUN
cana-2251	263	16	,	,	PUNCT
cana-2251	263	17	85(2	85(2	NUM
cana-2251	263	18	)	)	PUNCT
cana-2251	263	19	,	,	PUNCT
cana-2251	263	20	e22159	e22159	PROPN
cana-2251	263	21	.	.	PUNCT
cana-2251	264	1	[	[	X
cana-2251	264	2	2	2	NUM
cana-2251	264	3	]	]	PUNCT
cana-2251	264	4	veera	veera	NOUN
cana-2251	264	5	boopathy	boopathy	PROPN
cana-2251	264	6	,	,	PUNCT
cana-2251	264	7	e.	e.	PROPN
cana-2251	264	8	,	,	PUNCT
cana-2251	264	9	peer	peer	NOUN
cana-2251	264	10	mohamed	mohamed	PROPN
cana-2251	264	11	appa	appa	PROPN
cana-2251	264	12	,	,	PUNCT
cana-2251	264	13	m.a.y	m.a.y	NOUN
cana-2251	264	14	.	.	PUNCT
cana-2251	264	15	,	,	PUNCT
cana-2251	264	16	pragadeswaran	pragadeswaran	PROPN
cana-2251	264	17	,	,	PUNCT
cana-2251	264	18	s.	s.	PROPN
cana-2251	264	19	,	,	PUNCT
cana-2251	264	20	karthick	karthick	PROPN
cana-2251	264	21	raja	raja	PROPN
cana-2251	264	22	,	,	PUNCT
cana-2251	264	23	d.	d.	PROPN
cana-2251	264	24	,	,	PUNCT
cana-2251	264	25	gowtham	gowtham	PROPN
cana-2251	264	26	,	,	PUNCT
cana-2251	264	27	m.	m.	NOUN
cana-2251	264	28	,	,	PUNCT
cana-2251	264	29	kishore	kishore	PROPN
cana-2251	264	30	,	,	PUNCT
cana-2251	264	31	r.	r.	PROPN
cana-2251	264	32	,	,	PUNCT
cana-2251	264	33	vimalraj	vimalraj	VERB
cana-2251	264	34	,	,	PUNCT
cana-2251	264	35	p.	p.	NOUN
cana-2251	264	36	,	,	PUNCT
cana-2251	264	37	&	&	CCONJ
cana-2251	264	38	vissnuvardhan	vissnuvardhan	PROPN
cana-2251	264	39	,	,	PUNCT
cana-2251	264	40	k.	k.	PROPN
cana-2251	264	41	(	(	PUNCT
cana-2251	264	42	2024	2024	NUM
cana-2251	264	43	)	)	PUNCT
cana-2251	264	44	.	.	PUNCT
cana-2251	265	1	a	a	DET
cana-2251	265	2	data	datum	NOUN
cana-2251	265	3	driven	drive	VERB
cana-2251	265	4	approach	approach	NOUN
cana-2251	265	5	through	through	ADP
cana-2251	265	6	iomt	iomt	PROPN
cana-2251	265	7	based	base	VERB
cana-2251	265	8	patient	patient	ADJ
cana-2251	265	9	healthcare	healthcare	NOUN
cana-2251	265	10	monitoring	monitoring	NOUN
cana-2251	265	11	system	system	NOUN
cana-2251	265	12	.	.	PUNCT
cana-2251	266	1	archives	archive	NOUN
cana-2251	266	2	for	for	ADP
cana-2251	266	3	technical	technical	ADJ
cana-2251	266	4	sciences	science	NOUN
cana-2251	266	5	,	,	PUNCT
cana-2251	266	6	2(31	2(31	NUM
cana-2251	266	7	)	)	PUNCT
cana-2251	266	8	,	,	PUNCT
cana-2251	266	9	9	9	NUM
cana-2251	266	10	-	-	SYM
cana-2251	266	11	15	15	NUM
cana-2251	266	12	.	.	PUNCT
cana-2251	267	1	[	[	X
cana-2251	267	2	3	3	NUM
cana-2251	267	3	]	]	PUNCT
cana-2251	267	4	husnain	husnain	NOUN
cana-2251	267	5	,	,	PUNCT
cana-2251	267	6	a.	a.	NOUN
cana-2251	267	7	,	,	PUNCT
cana-2251	267	8	rasool	rasool	PROPN
cana-2251	267	9	,	,	PUNCT
cana-2251	267	10	s.	s.	PROPN
cana-2251	267	11	,	,	PUNCT
cana-2251	267	12	saeed	saeed	PROPN
cana-2251	267	13	,	,	PUNCT
cana-2251	267	14	a.	a.	PROPN
cana-2251	267	15	,	,	PUNCT
cana-2251	267	16	&	&	CCONJ
cana-2251	267	17	hussain	hussain	PROPN
cana-2251	267	18	,	,	PUNCT
cana-2251	267	19	h.	h.	PROPN
cana-2251	267	20	k.	k.	PROPN
cana-2251	267	21	(	(	PUNCT
cana-2251	267	22	2023	2023	NUM
cana-2251	267	23	)	)	PUNCT
cana-2251	267	24	.	.	PUNCT
cana-2251	268	1	revolutionizing	revolutionize	VERB
cana-2251	268	2	pharmaceutical	pharmaceutical	ADJ
cana-2251	268	3	research	research	NOUN
cana-2251	268	4	:	:	PUNCT
cana-2251	268	5	harnessing	harness	VERB
cana-2251	268	6	machine	machine	NOUN
cana-2251	268	7	learning	learning	NOUN
cana-2251	268	8	for	for	ADP
cana-2251	268	9	a	a	DET
cana-2251	268	10	paradigm	paradigm	NOUN
cana-2251	268	11	shift	shift	NOUN
cana-2251	268	12	in	in	ADP
cana-2251	268	13	drug	drug	NOUN
cana-2251	268	14	discovery	discovery	NOUN
cana-2251	268	15	.	.	PUNCT
cana-2251	269	1	international	international	ADJ
cana-2251	269	2	journal	journal	PROPN
cana-2251	269	3	of	of	ADP
cana-2251	269	4	multidisciplinary	multidisciplinary	ADJ
cana-2251	269	5	sciences	science	NOUN
cana-2251	269	6	and	and	CCONJ
cana-2251	269	7	arts	art	NOUN
cana-2251	269	8	,	,	PUNCT
cana-2251	269	9	2(2	2(2	NUM
cana-2251	269	10	)	)	PUNCT
cana-2251	269	11	,	,	PUNCT
cana-2251	269	12	149	149	NUM
cana-2251	269	13	-	-	SYM
cana-2251	269	14	157	157	NUM
cana-2251	269	15	.	.	PUNCT
cana-2251	270	1	[	[	X
cana-2251	270	2	4	4	NUM
cana-2251	270	3	]	]	PUNCT
cana-2251	270	4	bobir	bobir	NOUN
cana-2251	270	5	,	,	PUNCT
cana-2251	270	6	a.o	a.o	PROPN
cana-2251	270	7	.	.	PROPN
cana-2251	270	8	,	,	PUNCT
cana-2251	270	9	askariy	askariy	ADJ
cana-2251	270	10	,	,	PUNCT
cana-2251	270	11	m.	m.	NOUN
cana-2251	270	12	,	,	PUNCT
cana-2251	270	13	otabek	otabek	PROPN
cana-2251	270	14	,	,	PUNCT
cana-2251	270	15	y.y	y.y	PROPN
cana-2251	270	16	.	.	PROPN
cana-2251	270	17	,	,	PUNCT
cana-2251	270	18	nodir	nodir	PROPN
cana-2251	270	19	,	,	PUNCT
cana-2251	270	20	r.k	r.k	PROPN
cana-2251	270	21	.	.	PROPN
cana-2251	270	22	,	,	PUNCT
cana-2251	270	23	rakhima	rakhima	PROPN
cana-2251	270	24	,	,	PUNCT
cana-2251	270	25	a.	a.	NOUN
cana-2251	270	26	,	,	PUNCT
cana-2251	270	27	zukhra	zukhra	PROPN
cana-2251	270	28	,	,	PUNCT
cana-2251	270	29	z.y	z.y	PROPN
cana-2251	270	30	.	.	PROPN
cana-2251	270	31	,	,	PUNCT
cana-2251	270	32	&	&	CCONJ
cana-2251	270	33	sherzod	sherzod	PROPN
cana-2251	270	34	,	,	PUNCT
cana-2251	270	35	a.a	a.a	PROPN
cana-2251	270	36	.	.	PROPN
cana-2251	270	37	(	(	PUNCT
cana-2251	270	38	2024	2024	NUM
cana-2251	270	39	)	)	PUNCT
cana-2251	270	40	.	.	PUNCT
cana-2251	271	1	utilizing	utilize	VERB
cana-2251	271	2	deep	deep	ADJ
cana-2251	271	3	learning	learning	NOUN
cana-2251	271	4	and	and	CCONJ
cana-2251	271	5	the	the	DET
cana-2251	271	6	internet	internet	NOUN
cana-2251	271	7	of	of	ADP
cana-2251	271	8	things	thing	NOUN
cana-2251	271	9	to	to	PART
cana-2251	271	10	monitor	monitor	VERB
cana-2251	271	11	the	the	DET
cana-2251	271	12	health	health	NOUN
cana-2251	271	13	of	of	ADP
cana-2251	271	14	aquatic	aquatic	ADJ
cana-2251	271	15	ecosystems	ecosystem	NOUN
cana-2251	271	16	to	to	PART
cana-2251	271	17	conserve	conserve	VERB
cana-2251	271	18	biodiversity	biodiversity	NOUN
cana-2251	271	19	.	.	PUNCT
cana-2251	272	1	natural	natural	ADJ
cana-2251	272	2	and	and	CCONJ
cana-2251	272	3	engineering	engineering	NOUN
cana-2251	272	4	sciences	science	NOUN
cana-2251	272	5	,	,	PUNCT
cana-2251	272	6	9(1	9(1	NUM
cana-2251	272	7	)	)	PUNCT
cana-2251	272	8	,	,	PUNCT
cana-2251	272	9	72	72	NUM
cana-2251	272	10	-	-	SYM
cana-2251	272	11	83	83	NUM
cana-2251	272	12	.	.	PUNCT
cana-2251	273	1	[	[	X
cana-2251	273	2	5	5	NUM
cana-2251	273	3	]	]	PUNCT
cana-2251	273	4	alrawashdeh	alrawashdeh	NOUN
cana-2251	273	5	,	,	PUNCT
cana-2251	273	6	s.	s.	PROPN
cana-2251	273	7	,	,	PUNCT
cana-2251	273	8	&	&	CCONJ
cana-2251	273	9	barakat	barakat	PROPN
cana-2251	273	10	,	,	PUNCT
cana-2251	273	11	k.	k.	PROPN
cana-2251	273	12	h.	h.	PROPN
cana-2251	273	13	(	(	PUNCT
cana-2251	273	14	2023	2023	NUM
cana-2251	273	15	)	)	PUNCT
cana-2251	273	16	.	.	PUNCT
cana-2251	274	1	applications	application	NOUN
cana-2251	274	2	of	of	ADP
cana-2251	274	3	molecular	molecular	ADJ
cana-2251	274	4	dynamics	dynamic	NOUN
cana-2251	274	5	simulations	simulation	NOUN
cana-2251	274	6	in	in	ADP
cana-2251	274	7	drug	drug	NOUN
cana-2251	274	8	discovery	discovery	NOUN
cana-2251	274	9	.	.	PUNCT
cana-2251	275	1	computational	computational	ADJ
cana-2251	275	2	drug	drug	NOUN
cana-2251	275	3	discovery	discovery	NOUN
cana-2251	275	4	and	and	CCONJ
cana-2251	275	5	design	design	NOUN
cana-2251	275	6	,	,	PUNCT
cana-2251	275	7	127	127	NUM
cana-2251	275	8	-	-	SYM
cana-2251	275	9	141	141	NUM
cana-2251	275	10	.	.	PUNCT
cana-2251	276	1	[	[	X
cana-2251	276	2	6	6	NUM
cana-2251	276	3	]	]	X
cana-2251	276	4	camgözlü	camgözlü	NOUN
cana-2251	276	5	,	,	PUNCT
cana-2251	276	6	y.	y.	PROPN
cana-2251	276	7	,	,	PUNCT
cana-2251	276	8	&	&	CCONJ
cana-2251	276	9	kutlu	kutlu	PROPN
cana-2251	276	10	,	,	PUNCT
cana-2251	276	11	y.	y.	PROPN
cana-2251	276	12	(	(	PUNCT
cana-2251	276	13	2023	2023	NUM
cana-2251	276	14	)	)	PUNCT
cana-2251	276	15	.	.	PUNCT
cana-2251	277	1	leaf	leaf	NOUN
cana-2251	277	2	image	image	NOUN
cana-2251	277	3	classification	classification	NOUN
cana-2251	277	4	based	base	VERB
cana-2251	277	5	on	on	ADP
cana-2251	277	6	pre	pre	ADJ
cana-2251	277	7	-	-	ADJ
cana-2251	277	8	trained	train	VERB
cana-2251	277	9	convolutional	convolutional	ADJ
cana-2251	277	10	neural	neural	ADJ
cana-2251	277	11	network	network	NOUN
cana-2251	277	12	models.natural	models.natural	ADJ
cana-2251	277	13	and	and	CCONJ
cana-2251	277	14	engineering	engineering	NOUN
cana-2251	277	15	sciences	science	NOUN
cana-2251	277	16	,	,	PUNCT
cana-2251	277	17	8(3	8(3	NUM
cana-2251	277	18	)	)	PUNCT
cana-2251	277	19	,	,	PUNCT
cana-2251	277	20	214	214	NUM
cana-2251	277	21	-	-	SYM
cana-2251	277	22	232	232	NUM
cana-2251	277	23	.	.	PUNCT
cana-2251	278	1	[	[	X
cana-2251	278	2	7	7	NUM
cana-2251	278	3	]	]	X
cana-2251	278	4	vidhya	vidhya	PROPN
cana-2251	278	5	,	,	PUNCT
cana-2251	278	6	k.	k.	PROPN
cana-2251	278	7	s.	s.	PROPN
cana-2251	278	8	,	,	PUNCT
cana-2251	278	9	sultana	sultana	PROPN
cana-2251	278	10	,	,	PUNCT
cana-2251	278	11	a.	a.	PROPN
cana-2251	278	12	,	,	PUNCT
cana-2251	278	13	kumar	kumar	PROPN
cana-2251	278	14	,	,	PUNCT
cana-2251	278	15	n.	n.	PROPN
cana-2251	278	16	,	,	PUNCT
cana-2251	278	17	&	&	CCONJ
cana-2251	278	18	rangareddy	rangareddy	PROPN
cana-2251	278	19	,	,	PUNCT
cana-2251	278	20	h.	h.	PROPN
cana-2251	278	21	(	(	PUNCT
cana-2251	278	22	2023	2023	NUM
cana-2251	278	23	)	)	PUNCT
cana-2251	278	24	.	.	PUNCT
cana-2251	279	1	artificial	artificial	ADJ
cana-2251	279	2	intelligence	intelligence	NOUN
cana-2251	279	3	's	's	PART
cana-2251	279	4	impact	impact	NOUN
cana-2251	279	5	on	on	ADP
cana-2251	279	6	drug	drug	NOUN
cana-2251	279	7	discovery	discovery	NOUN
cana-2251	279	8	and	and	CCONJ
cana-2251	279	9	development	development	NOUN
cana-2251	279	10	from	from	ADP
cana-2251	279	11	bench	bench	NOUN
cana-2251	279	12	to	to	ADP
cana-2251	279	13	bedside	bedside	NOUN
cana-2251	279	14	.	.	PUNCT
cana-2251	280	1	cureus	cureus	NOUN
cana-2251	280	2	,	,	PUNCT
cana-2251	280	3	15(10	15(10	NUM
cana-2251	280	4	)	)	PUNCT
cana-2251	280	5	,	,	PUNCT
cana-2251	280	6	e47486	e47486	NOUN
cana-2251	280	7	.	.	PUNCT
cana-2251	281	1	[	[	X
cana-2251	281	2	8	8	NUM
cana-2251	281	3	]	]	SYM
cana-2251	281	4	mumtaj	mumtaj	NOUN
cana-2251	281	5	begum	begum	PROPN
cana-2251	281	6	,	,	PUNCT
cana-2251	281	7	h.	h.	PROPN
cana-2251	281	8	(	(	PUNCT
cana-2251	281	9	2022	2022	NUM
cana-2251	281	10	)	)	PUNCT
cana-2251	281	11	.	.	PUNCT
cana-2251	282	1	scientometric	scientometric	ADJ
cana-2251	282	2	analysis	analysis	NOUN
cana-2251	282	3	of	of	ADP
cana-2251	282	4	the	the	DET
cana-2251	282	5	research	research	NOUN
cana-2251	282	6	paper	paper	NOUN
cana-2251	282	7	output	output	NOUN
cana-2251	282	8	on	on	ADP
cana-2251	282	9	artificial	artificial	ADJ
cana-2251	282	10	intelligence	intelligence	NOUN
cana-2251	282	11	:	:	PUNCT
cana-2251	282	12	a	a	DET
cana-2251	282	13	study	study	NOUN
cana-2251	282	14	.	.	PUNCT
cana-2251	283	1	indian	indian	ADJ
cana-2251	283	2	journal	journal	PROPN
cana-2251	283	3	of	of	ADP
cana-2251	283	4	information	information	NOUN
cana-2251	283	5	sources	source	NOUN
cana-2251	283	6	and	and	CCONJ
cana-2251	283	7	services	service	NOUN
cana-2251	283	8	,	,	PUNCT
cana-2251	283	9	12(1	12(1	NUM
cana-2251	283	10	)	)	PUNCT
cana-2251	283	11	,	,	PUNCT
cana-2251	283	12	52–58	52–58	NUM
cana-2251	283	13	.	.	PUNCT
cana-2251	284	1	[	[	X
cana-2251	284	2	9	9	NUM
cana-2251	284	3	]	]	X
cana-2251	284	4	khan	khan	PROPN
cana-2251	284	5	,	,	PUNCT
cana-2251	284	6	mohammad	mohammad	PROPN
cana-2251	284	7	faisal	faisal	PROPN
cana-2251	284	8	,	,	PUNCT
cana-2251	284	9	et	et	PROPN
cana-2251	284	10	al	al	PROPN
cana-2251	284	11	.	.	PUNCT
cana-2251	285	1	"	"	PUNCT
cana-2251	285	2	applications	application	NOUN
cana-2251	285	3	of	of	ADP
cana-2251	285	4	higher	high	ADJ
cana-2251	285	5	-	-	PUNCT
cana-2251	285	6	order	order	NOUN
cana-2251	285	7	q	q	ADJ
cana-2251	285	8	-	-	ADJ
cana-2251	285	9	derivative	derivative	ADJ
cana-2251	285	10	operator	operator	NOUN
cana-2251	285	11	for	for	ADP
cana-2251	285	12	a	a	DET
cana-2251	285	13	new	new	ADJ
cana-2251	285	14	subclass	subclass	NOUN
cana-2251	285	15	of	of	ADP
cana-2251	285	16	meromorphic	meromorphic	ADJ
cana-2251	285	17	multivalent	multivalent	ADJ
cana-2251	285	18	q	q	ADJ
cana-2251	285	19	-	-	PUNCT
cana-2251	285	20	starlike	starlike	NOUN
cana-2251	285	21	functions	function	NOUN
cana-2251	285	22	related	relate	VERB
cana-2251	285	23	with	with	ADP
cana-2251	285	24	the	the	DET
cana-2251	285	25	janowski	janowski	ADJ
cana-2251	285	26	functions	function	NOUN
cana-2251	285	27	.	.	PUNCT
cana-2251	285	28	"	"	PUNCT
cana-2251	285	29	results	result	NOUN
cana-2251	285	30	in	in	ADP
cana-2251	285	31	nonlinear	nonlinear	ADJ
cana-2251	285	32	analysis	analysis	NOUN
cana-2251	285	33	,	,	PUNCT
cana-2251	285	34	vol	vol	NOUN
cana-2251	285	35	.	.	PROPN
cana-2251	286	1	7	7	NUM
cana-2251	286	2	,	,	PUNCT
cana-2251	286	3	no	no	INTJ
cana-2251	286	4	.	.	NOUN
cana-2251	286	5	2	2	NUM
cana-2251	286	6	,	,	PUNCT
cana-2251	286	7	2024	2024	NUM
cana-2251	286	8	,	,	PUNCT
cana-2251	286	9	pp	pp	ADV
cana-2251	286	10	.	.	PUNCT
cana-2251	287	1	174–186	174–186	NUM
cana-2251	287	2	.	.	PUNCT
cana-2251	288	1	[	[	X
cana-2251	288	2	10	10	NUM
cana-2251	288	3	]	]	X
cana-2251	288	4	neelima	neelima	NOUN
cana-2251	288	5	,	,	PUNCT
cana-2251	288	6	s.	s.	PROPN
cana-2251	288	7	,	,	PUNCT
cana-2251	288	8	manoj	manoj	PROPN
cana-2251	288	9	,	,	PUNCT
cana-2251	288	10	g.	g.	PROPN
cana-2251	288	11	,	,	PUNCT
cana-2251	288	12	subramani	subramani	PROPN
cana-2251	288	13	,	,	PUNCT
cana-2251	288	14	k.	k.	PROPN
cana-2251	288	15	,	,	PUNCT
cana-2251	288	16	ahmed	ahmed	PROPN
cana-2251	288	17	,	,	PUNCT
cana-2251	288	18	a.	a.	PROPN
cana-2251	288	19	,	,	PUNCT
cana-2251	288	20	&	&	CCONJ
cana-2251	288	21	chippy	chippy	PROPN
cana-2251	288	22	,	,	PUNCT
cana-2251	288	23	m.	m.	NOUN
cana-2251	288	24	(	(	PUNCT
cana-2251	288	25	2024	2024	NUM
cana-2251	288	26	)	)	PUNCT
cana-2251	288	27	.	.	PUNCT
cana-2251	289	1	factors	factor	NOUN
cana-2251	289	2	influencing	influence	VERB
cana-2251	289	3	data	datum	NOUN
cana-2251	289	4	utilization	utilization	NOUN
cana-2251	289	5	and	and	CCONJ
cana-2251	289	6	performance	performance	NOUN
cana-2251	289	7	of	of	ADP
cana-2251	289	8	health	health	NOUN
cana-2251	289	9	management	management	NOUN
cana-2251	289	10	information	information	NOUN
cana-2251	289	11	systems	system	NOUN
cana-2251	289	12	:	:	PUNCT
cana-2251	289	13	a	a	DET
cana-2251	289	14	case	case	NOUN
cana-2251	289	15	study	study	NOUN
cana-2251	289	16	.	.	PUNCT
cana-2251	290	1	indian	indian	PROPN
cana-2251	290	2	journal	journal	PROPN
cana-2251	290	3	of	of	ADP
cana-2251	290	4	information	information	NOUN
cana-2251	290	5	sources	source	NOUN
cana-2251	290	6	and	and	CCONJ
cana-2251	290	7	services	service	NOUN
cana-2251	290	8	,	,	PUNCT
cana-2251	290	9	14(2	14(2	NUM
cana-2251	290	10	)	)	PUNCT
cana-2251	290	11	,	,	PUNCT
cana-2251	290	12	146–152	146–152	NUM
cana-2251	290	13	.	.	PUNCT
cana-2251	291	1	[	[	X
cana-2251	291	2	11	11	NUM
cana-2251	291	3	]	]	X
cana-2251	291	4	arora	arora	PROPN
cana-2251	291	5	,	,	PUNCT
cana-2251	291	6	p.	p.	PROPN
cana-2251	291	7	,	,	PUNCT
cana-2251	291	8	behera	behera	PROPN
cana-2251	291	9	,	,	PUNCT
cana-2251	291	10	m.	m.	NOUN
cana-2251	291	11	,	,	PUNCT
cana-2251	291	12	saraf	saraf	PROPN
cana-2251	291	13	,	,	PUNCT
cana-2251	291	14	s.	s.	PROPN
cana-2251	291	15	a.	a.	PROPN
cana-2251	291	16	,	,	PUNCT
cana-2251	291	17	&	&	CCONJ
cana-2251	291	18	shukla	shukla	PROPN
cana-2251	291	19	,	,	PUNCT
cana-2251	291	20	r.	r.	PROPN
cana-2251	291	21	(	(	PUNCT
cana-2251	291	22	2024	2024	NUM
cana-2251	291	23	)	)	PUNCT
cana-2251	291	24	.	.	PUNCT
cana-2251	292	1	leveraging	leverage	VERB
cana-2251	292	2	artificial	artificial	ADJ
cana-2251	292	3	intelligence	intelligence	NOUN
cana-2251	292	4	for	for	ADP
cana-2251	292	5	synergies	synergy	NOUN
cana-2251	292	6	in	in	ADP
cana-2251	292	7	drug	drug	NOUN
cana-2251	292	8	discovery	discovery	NOUN
cana-2251	292	9	:	:	PUNCT
cana-2251	292	10	from	from	ADP
cana-2251	292	11	computers	computer	NOUN
cana-2251	292	12	to	to	ADP
cana-2251	292	13	clinics	clinic	NOUN
cana-2251	292	14	.	.	PUNCT
cana-2251	293	1	current	current	ADJ
cana-2251	293	2	pharmaceutical	pharmaceutical	ADJ
cana-2251	293	3	design	design	NOUN
cana-2251	293	4	,	,	PUNCT
cana-2251	293	5	30(28	30(28	NUM
cana-2251	293	6	)	)	PUNCT
cana-2251	293	7	,	,	PUNCT
cana-2251	293	8	2187	2187	NUM
cana-2251	293	9	-	-	SYM
cana-2251	293	10	2205	2205	NUM
cana-2251	293	11	.	.	PUNCT
cana-2251	294	1	[	[	X
cana-2251	294	2	12	12	NUM
cana-2251	294	3	]	]	X
cana-2251	294	4	mansouri	mansouri	PROPN
cana-2251	294	5	,	,	PUNCT
cana-2251	294	6	s.	s.	PROPN
cana-2251	294	7	(	(	PUNCT
cana-2251	294	8	2023	2023	NUM
cana-2251	294	9	)	)	PUNCT
cana-2251	294	10	.	.	PUNCT
cana-2251	295	1	application	application	NOUN
cana-2251	295	2	of	of	ADP
cana-2251	295	3	neural	neural	ADJ
cana-2251	295	4	networks	network	NOUN
cana-2251	295	5	in	in	ADP
cana-2251	295	6	the	the	DET
cana-2251	295	7	medical	medical	ADJ
cana-2251	295	8	field	field	NOUN
cana-2251	295	9	.	.	PUNCT
cana-2251	296	1	journal	journal	NOUN
cana-2251	296	2	of	of	ADP
cana-2251	296	3	wireless	wireless	ADJ
cana-2251	296	4	mobile	mobile	ADJ
cana-2251	296	5	networks	network	NOUN
cana-2251	296	6	,	,	PUNCT
cana-2251	296	7	ubiquitous	ubiquitous	ADJ
cana-2251	296	8	computing	computing	NOUN
cana-2251	296	9	,	,	PUNCT
cana-2251	296	10	and	and	CCONJ
cana-2251	296	11	dependable	dependable	ADJ
cana-2251	296	12	applications	application	NOUN
cana-2251	296	13	,	,	PUNCT
cana-2251	296	14	14(1	14(1	NUM
cana-2251	296	15	)	)	PUNCT
cana-2251	296	16	,	,	PUNCT
cana-2251	296	17	69	69	NUM
cana-2251	296	18	-	-	SYM
cana-2251	296	19	81	81	NUM
cana-2251	296	20	.	.	PUNCT
cana-2251	297	1	[	[	X
cana-2251	297	2	13	13	NUM
cana-2251	297	3	]	]	X
cana-2251	297	4	visan	visan	PROPN
cana-2251	297	5	,	,	PUNCT
cana-2251	297	6	a.	a.	NOUN
cana-2251	297	7	i.	i.	PROPN
cana-2251	297	8	,	,	PUNCT
cana-2251	297	9	&	&	CCONJ
cana-2251	297	10	negut	negut	PROPN
cana-2251	297	11	,	,	PUNCT
cana-2251	297	12	i.	i.	NOUN
cana-2251	297	13	(	(	PUNCT
cana-2251	297	14	2024	2024	NUM
cana-2251	297	15	)	)	PUNCT
cana-2251	297	16	.	.	PUNCT
cana-2251	298	1	integrating	integrate	VERB
cana-2251	298	2	artificial	artificial	ADJ
cana-2251	298	3	intelligence	intelligence	NOUN
cana-2251	298	4	for	for	ADP
cana-2251	298	5	drug	drug	NOUN
cana-2251	298	6	discovery	discovery	NOUN
cana-2251	298	7	in	in	ADP
cana-2251	298	8	the	the	DET
cana-2251	298	9	context	context	NOUN
cana-2251	298	10	of	of	ADP
cana-2251	298	11	revolutionizing	revolutionize	VERB
cana-2251	298	12	drug	drug	NOUN
cana-2251	298	13	delivery	delivery	NOUN
cana-2251	298	14	.	.	PUNCT
cana-2251	299	1	life	life	NOUN
cana-2251	299	2	,	,	PUNCT
cana-2251	299	3	14(2	14(2	NUM
cana-2251	299	4	)	)	PUNCT
cana-2251	299	5	,	,	PUNCT
cana-2251	299	6	233	233	NUM
cana-2251	299	7	.	.	PUNCT
cana-2251	300	1	[	[	X
cana-2251	300	2	14	14	NUM
cana-2251	300	3	]	]	PUNCT
cana-2251	300	4	abugabah	abugabah	NOUN
cana-2251	300	5	,	,	PUNCT
cana-2251	300	6	a.	a.	NOUN
cana-2251	300	7	(	(	PUNCT
cana-2251	300	8	2023	2023	NUM
cana-2251	300	9	)	)	PUNCT
cana-2251	300	10	.	.	PUNCT
cana-2251	301	1	smart	smart	ADJ
cana-2251	301	2	medical	medical	ADJ
cana-2251	301	3	systems	system	NOUN
cana-2251	301	4	based	base	VERB
cana-2251	301	5	iot	iot	NOUN
cana-2251	301	6	:	:	PUNCT
cana-2251	301	7	exploring	explore	VERB
cana-2251	301	8	the	the	DET
cana-2251	301	9	relationship	relationship	NOUN
cana-2251	301	10	between	between	ADP
cana-2251	301	11	essential	essential	ADJ
cana-2251	301	12	algorithms	algorithm	NOUN
cana-2251	301	13	and	and	CCONJ
cana-2251	301	14	service	service	NOUN
cana-2251	301	15	orientation	orientation	NOUN
cana-2251	301	16	.	.	PUNCT
cana-2251	302	1	journal	journal	PROPN
cana-2251	302	2	of	of	ADP
cana-2251	302	3	wireless	wireless	ADJ
cana-2251	302	4	mobile	mobile	ADJ
cana-2251	302	5	networks	network	NOUN
cana-2251	302	6	,	,	PUNCT
cana-2251	302	7	ubiquitous	ubiquitous	ADJ
cana-2251	302	8	computing	computing	NOUN
cana-2251	302	9	,	,	PUNCT
cana-2251	302	10	and	and	CCONJ
cana-2251	302	11	dependable	dependable	ADJ
cana-2251	302	12	applications	application	NOUN
cana-2251	302	13	,	,	PUNCT
cana-2251	302	14	14(4	14(4	NUM
cana-2251	302	15	)	)	PUNCT
cana-2251	302	16	,	,	PUNCT
cana-2251	302	17	115	115	NUM
cana-2251	302	18	-	-	SYM
cana-2251	302	19	127	127	NUM
cana-2251	302	20	.	.	PUNCT
cana-2251	303	1	[	[	X
cana-2251	303	2	15	15	NUM
cana-2251	303	3	]	]	X
cana-2251	303	4	anakira	anakira	PROPN
cana-2251	303	5	,	,	PUNCT
cana-2251	303	6	nidal	nidal	PROPN
cana-2251	303	7	,	,	PUNCT
cana-2251	303	8	et	et	PROPN
cana-2251	303	9	al	al	PROPN
cana-2251	303	10	.	.	PUNCT
cana-2251	304	1	"	"	PUNCT
cana-2251	304	2	exact	exact	ADJ
cana-2251	304	3	solution	solution	NOUN
cana-2251	304	4	of	of	ADP
cana-2251	304	5	system	system	NOUN
cana-2251	304	6	of	of	ADP
cana-2251	304	7	multi	multi	ADJ
cana-2251	304	8	-	-	ADJ
cana-2251	304	9	photograph	photograph	ADJ
cana-2251	304	10	type	type	NOUN
cana-2251	304	11	delay	delay	NOUN
cana-2251	304	12	differential	differential	NOUN
cana-2251	304	13	equations	equation	NOUN
cana-2251	304	14	via	via	ADP
cana-2251	304	15	new	new	ADJ
cana-2251	304	16	algorithm	algorithm	NOUN
cana-2251	304	17	based	base	VERB
cana-2251	304	18	on	on	ADP
cana-2251	304	19	homotopy	homotopy	NOUN
cana-2251	304	20	perturbation	perturbation	NOUN
cana-2251	304	21	method	method	NOUN
cana-2251	304	22	.	.	PUNCT
cana-2251	304	23	"	"	PUNCT
cana-2251	305	1	results	result	NOUN
cana-2251	305	2	in	in	ADP
cana-2251	305	3	nonlinear	nonlinear	ADJ
cana-2251	305	4	analysis	analysis	NOUN
cana-2251	305	5	,	,	PUNCT
cana-2251	305	6	vol	vol	NOUN
cana-2251	305	7	.	.	PROPN
cana-2251	306	1	7	7	NUM
cana-2251	306	2	,	,	PUNCT
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cana-2251	306	4	.	.	NOUN
cana-2251	306	5	2	2	NUM
cana-2251	306	6	,	,	PUNCT
cana-2251	306	7	2024	2024	NUM
cana-2251	306	8	,	,	PUNCT
cana-2251	306	9	pp	pp	ADJ
cana-2251	306	10	.	.	PUNCT
cana-2251	307	1	187	187	NUM
cana-2251	307	2	–	–	SYM
cana-2251	307	3	197	197	NUM
cana-2251	307	4	.	.	PUNCT
cana-2251	307	5	communications	communication	NOUN
cana-2251	307	6	on	on	ADP
cana-2251	307	7	applied	apply	VERB
cana-2251	307	8	nonlinear	nonlinear	ADJ
cana-2251	307	9	analysis	analysis	NOUN
cana-2251	307	10	issn	issn	NOUN
cana-2251	307	11	:	:	PUNCT
cana-2251	307	12	1074	1074	NUM
cana-2251	307	13	-	-	PUNCT
cana-2251	307	14	133x	133x	NUM
cana-2251	307	15	vol	vol	NOUN
cana-2251	307	16	32	32	NUM
cana-2251	307	17	no	no	NOUN
cana-2251	307	18	.	.	PUNCT
cana-2251	308	1	2s	2s	NUM
cana-2251	308	2	(	(	PUNCT
cana-2251	308	3	2025	2025	NUM
cana-2251	308	4	)	)	PUNCT
cana-2251	308	5	75	75	NUM
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cana-2251	309	1	[	[	X
cana-2251	309	2	16	16	NUM
cana-2251	309	3	]	]	X
cana-2251	309	4	mehak	mehak	PROPN
cana-2251	309	5	,	,	PUNCT
cana-2251	309	6	s.	s.	PROPN
cana-2251	309	7	,	,	PUNCT
cana-2251	309	8	himanshi	himanshi	PROPN
cana-2251	309	9	.	.	PUNCT
cana-2251	309	10	,	,	PUNCT
cana-2251	309	11	&	&	CCONJ
cana-2251	309	12	sanju	sanju	PROPN
cana-2251	309	13	,	,	PUNCT
cana-2251	309	14	s.	s.	PROPN
cana-2251	309	15	(	(	PUNCT
cana-2251	309	16	2024	2024	NUM
cana-2251	309	17	)	)	PUNCT
cana-2251	309	18	.	.	PUNCT
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cana-2251	310	2	-	-	PUNCT
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cana-2251	310	4	blockchain	blockchain	NOUN
cana-2251	310	5	solutions	solution	NOUN
cana-2251	310	6	for	for	ADP
cana-2251	310	7	the	the	DET
cana-2251	310	8	healthcare	healthcare	NOUN
cana-2251	310	9	sector	sector	NOUN
cana-2251	310	10	:	:	PUNCT
cana-2251	310	11	efficient	efficient	ADJ
cana-2251	310	12	message	message	NOUN
cana-2251	310	13	sharing	sharing	NOUN
cana-2251	310	14	and	and	CCONJ
cana-2251	310	15	robust	robust	ADJ
cana-2251	310	16	big	big	ADJ
cana-2251	310	17	data	datum	NOUN
cana-2251	310	18	protection	protection	NOUN
cana-2251	310	19	.	.	PUNCT
cana-2251	311	1	journal	journal	PROPN
cana-2251	311	2	of	of	ADP
cana-2251	311	3	internet	internet	NOUN
cana-2251	311	4	services	service	NOUN
cana-2251	311	5	and	and	CCONJ
cana-2251	311	6	information	information	NOUN
cana-2251	311	7	security	security	NOUN
cana-2251	311	8	,	,	PUNCT
cana-2251	311	9	14(2	14(2	NUM
cana-2251	311	10	)	)	PUNCT
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cana-2251	311	13	-	-	SYM
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cana-2251	312	2	17	17	NUM
cana-2251	312	3	]	]	X
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cana-2251	312	5	,	,	PUNCT
cana-2251	312	6	n.	n.	NOUN
cana-2251	312	7	m.	m.	NOUN
cana-2251	312	8	,	,	PUNCT
cana-2251	312	9	papavasileiou	papavasileiou	PROPN
cana-2251	312	10	,	,	PUNCT
cana-2251	312	11	k.	k.	PROPN
cana-2251	312	12	d.	d.	PROPN
cana-2251	312	13	,	,	PUNCT
cana-2251	312	14	papadiamantis	papadiamantis	PROPN
cana-2251	312	15	,	,	PUNCT
cana-2251	312	16	a.	a.	NOUN
cana-2251	312	17	g.	g.	PROPN
cana-2251	312	18	,	,	PUNCT
cana-2251	312	19	melagraki	melagraki	PROPN
cana-2251	312	20	,	,	PUNCT
cana-2251	312	21	g.	g.	PROPN
cana-2251	312	22	,	,	PUNCT
cana-2251	312	23	&	&	CCONJ
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cana-2251	312	29	)	)	PUNCT
cana-2251	312	30	.	.	PUNCT
cana-2251	313	1	a	a	DET
cana-2251	313	2	systematic	systematic	ADJ
cana-2251	313	3	review	review	NOUN
cana-2251	313	4	of	of	ADP
cana-2251	313	5	deep	deep	ADJ
cana-2251	313	6	learning	learning	NOUN
cana-2251	313	7	methodologies	methodology	NOUN
cana-2251	313	8	used	use	VERB
cana-2251	313	9	in	in	ADP
cana-2251	313	10	the	the	DET
cana-2251	313	11	drug	drug	NOUN
cana-2251	313	12	discovery	discovery	NOUN
cana-2251	313	13	process	process	NOUN
cana-2251	313	14	with	with	ADP
cana-2251	313	15	emphasis	emphasis	NOUN
cana-2251	313	16	on	on	ADP
cana-2251	313	17	in	in	ADP
cana-2251	313	18	vivo	vivo	ADJ
cana-2251	313	19	validation	validation	NOUN
cana-2251	313	20	.	.	PUNCT
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cana-2251	314	2	journal	journal	NOUN
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cana-2251	314	6	,	,	PUNCT
cana-2251	314	7	24(7	24(7	NUM
cana-2251	314	8	)	)	PUNCT
cana-2251	314	9	,	,	PUNCT
cana-2251	314	10	6573	6573	NUM
cana-2251	314	11	.	.	PUNCT
cana-2251	315	1	[	[	X
cana-2251	315	2	18	18	NUM
cana-2251	315	3	]	]	X
cana-2251	315	4	cina	cina	PROPN
cana-2251	315	5	,	,	PUNCT
cana-2251	315	6	m.	m.	NOUN
cana-2251	315	7	,	,	PUNCT
cana-2251	315	8	&	&	CCONJ
cana-2251	315	9	asha	asha	PROPN
cana-2251	315	10	,	,	PUNCT
cana-2251	315	11	p.	p.	PROPN
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cana-2251	315	13	2024	2024	NUM
cana-2251	315	14	)	)	PUNCT
cana-2251	315	15	.	.	PUNCT
cana-2251	316	1	fedprox	fedprox	NOUN
cana-2251	316	2	:	:	PUNCT
cana-2251	316	3	fedsplit	fedsplit	NOUN
cana-2251	316	4	algorithm	algorithm	NOUN
cana-2251	316	5	based	base	VERB
cana-2251	316	6	federated	federated	ADJ
cana-2251	316	7	learning	learning	NOUN
cana-2251	316	8	for	for	ADP
cana-2251	316	9	statistical	statistical	ADJ
cana-2251	316	10	and	and	CCONJ
cana-2251	316	11	system	system	NOUN
cana-2251	316	12	heterogeneity	heterogeneity	NOUN
cana-2251	316	13	in	in	ADP
cana-2251	316	14	medical	medical	ADJ
cana-2251	316	15	data	datum	NOUN
cana-2251	316	16	communication	communication	NOUN
cana-2251	316	17	.	.	PUNCT
cana-2251	317	1	journal	journal	PROPN
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cana-2251	317	3	internet	internet	NOUN
cana-2251	317	4	services	service	NOUN
cana-2251	317	5	and	and	CCONJ
cana-2251	317	6	information	information	NOUN
cana-2251	317	7	security	security	NOUN
cana-2251	317	8	,	,	PUNCT
cana-2251	317	9	14(3	14(3	NUM
cana-2251	317	10	)	)	PUNCT
cana-2251	317	11	,	,	PUNCT
cana-2251	317	12	353370	353370	NUM
cana-2251	317	13	.	.	PUNCT
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cana-2251	318	2	19	19	NUM
cana-2251	318	3	]	]	SYM
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cana-2251	318	21	,	,	PUNCT
cana-2251	318	22	k.	k.	PROPN
cana-2251	318	23	,	,	PUNCT
cana-2251	318	24	mallik	mallik	PROPN
cana-2251	318	25	,	,	PUNCT
cana-2251	318	26	s.	s.	PROPN
cana-2251	318	27	,	,	PUNCT
cana-2251	318	28	&	&	CCONJ
cana-2251	318	29	ghosh	ghosh	PROPN
cana-2251	318	30	,	,	PUNCT
cana-2251	318	31	b.	b.	PROPN
cana-2251	318	32	(	(	PUNCT
cana-2251	318	33	2023	2023	NUM
cana-2251	318	34	)	)	PUNCT
cana-2251	318	35	.	.	PUNCT
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cana-2251	319	3	in	in	ADP
cana-2251	319	4	computational	computational	ADJ
cana-2251	319	5	drug	drug	NOUN
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cana-2251	319	7	algorithms	algorithm	NOUN
cana-2251	319	8	through	through	ADP
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cana-2251	319	13	.	.	PUNCT
cana-2251	320	1	kinases	kinase	NOUN
cana-2251	320	2	and	and	CCONJ
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cana-2251	320	4	,	,	PUNCT
cana-2251	320	5	1(2	1(2	NUM
cana-2251	320	6	)	)	PUNCT
cana-2251	320	7	,	,	PUNCT
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cana-2251	320	9	-	-	SYM
cana-2251	320	10	140	140	NUM
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cana-2251	321	3	]	]	X
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cana-2251	321	5	,	,	PUNCT
cana-2251	321	6	t.	t.	PROPN
cana-2251	321	7	a.	a.	PROPN
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cana-2251	321	34	2023	2023	NUM
cana-2251	321	35	)	)	PUNCT
cana-2251	321	36	.	.	PUNCT
cana-2251	322	1	virtual	virtual	ADJ
cana-2251	322	2	screening	screen	VERB
cana-2251	322	3	algorithms	algorithm	NOUN
cana-2251	322	4	in	in	ADP
cana-2251	322	5	drug	drug	NOUN
cana-2251	322	6	discovery	discovery	NOUN
cana-2251	322	7	:	:	PUNCT
cana-2251	322	8	a	a	DET
cana-2251	322	9	review	review	NOUN
cana-2251	322	10	focused	focus	VERB
cana-2251	322	11	on	on	ADP
cana-2251	322	12	machine	machine	NOUN
cana-2251	322	13	and	and	CCONJ
cana-2251	322	14	deep	deep	ADJ
cana-2251	322	15	learning	learning	NOUN
cana-2251	322	16	methods	method	NOUN
cana-2251	322	17	.	.	PUNCT
cana-2251	323	1	drugs	drug	NOUN
cana-2251	323	2	and	and	CCONJ
cana-2251	323	3	drug	drug	NOUN
cana-2251	323	4	candidates	candidate	NOUN
cana-2251	323	5	,	,	PUNCT
cana-2251	323	6	2(2	2(2	NUM
cana-2251	323	7	)	)	PUNCT
cana-2251	323	8	,	,	PUNCT
cana-2251	323	9	311	311	NUM
cana-2251	323	10	-	-	SYM
cana-2251	323	11	334	334	NUM
cana-2251	323	12	.	.	PUNCT
cana-2251	324	1	[	[	X
cana-2251	324	2	21	21	NUM
cana-2251	324	3	]	]	X
cana-2251	324	4	singh	singh	PROPN
cana-2251	324	5	,	,	PUNCT
cana-2251	324	6	s.	s.	PROPN
cana-2251	324	7	,	,	PUNCT
cana-2251	324	8	kumar	kumar	PROPN
cana-2251	324	9	,	,	PUNCT
cana-2251	324	10	r.	r.	PROPN
cana-2251	324	11	,	,	PUNCT
cana-2251	324	12	payra	payra	PROPN
cana-2251	324	13	,	,	PUNCT
cana-2251	324	14	s.	s.	PROPN
cana-2251	324	15	,	,	PUNCT
cana-2251	324	16	&	&	CCONJ
cana-2251	324	17	singh	singh	PROPN
cana-2251	324	18	,	,	PUNCT
cana-2251	324	19	s.	s.	PROPN
cana-2251	324	20	k.	k.	PROPN
cana-2251	324	21	(	(	PUNCT
cana-2251	324	22	2023	2023	NUM
cana-2251	324	23	)	)	PUNCT
cana-2251	324	24	.	.	PUNCT
cana-2251	325	1	artificial	artificial	ADJ
cana-2251	325	2	intelligence	intelligence	NOUN
cana-2251	325	3	and	and	CCONJ
cana-2251	325	4	machine	machine	NOUN
cana-2251	325	5	learning	learning	NOUN
cana-2251	325	6	in	in	ADP
cana-2251	325	7	pharmacological	pharmacological	ADJ
cana-2251	325	8	research	research	NOUN
cana-2251	325	9	:	:	PUNCT
cana-2251	325	10	bridging	bridge	VERB
cana-2251	325	11	the	the	DET
cana-2251	325	12	gap	gap	NOUN
cana-2251	325	13	between	between	ADP
cana-2251	325	14	data	datum	NOUN
cana-2251	325	15	and	and	CCONJ
cana-2251	325	16	drug	drug	NOUN
cana-2251	325	17	discovery	discovery	NOUN
cana-2251	325	18	.	.	PUNCT
cana-2251	326	1	cureus	cureus	NOUN
cana-2251	326	2	,	,	PUNCT
cana-2251	326	3	15(8	15(8	NUM
cana-2251	326	4	)	)	PUNCT
cana-2251	326	5	,	,	PUNCT
cana-2251	326	6	e44359	e44359	NOUN
cana-2251	326	7	.	.	PUNCT
cana-2251	327	1	[	[	X
cana-2251	327	2	22	22	NUM
cana-2251	327	3	]	]	X
cana-2251	327	4	movassagh	movassagh	PROPN
cana-2251	327	5	,	,	PUNCT
cana-2251	327	6	a.	a.	NOUN
cana-2251	327	7	a.	a.	PROPN
cana-2251	327	8	,	,	PUNCT
cana-2251	327	9	alzubi	alzubi	PROPN
cana-2251	327	10	,	,	PUNCT
cana-2251	327	11	j.	j.	PROPN
cana-2251	327	12	a.	a.	PROPN
cana-2251	327	13	,	,	PUNCT
cana-2251	327	14	gheisari	gheisari	PROPN
cana-2251	327	15	,	,	PUNCT
cana-2251	327	16	m.	m.	NOUN
cana-2251	327	17	,	,	PUNCT
cana-2251	327	18	rahimi	rahimi	NOUN
cana-2251	327	19	,	,	PUNCT
cana-2251	327	20	m.	m.	NOUN
cana-2251	327	21	,	,	PUNCT
cana-2251	327	22	mohan	mohan	PROPN
cana-2251	327	23	,	,	PUNCT
cana-2251	327	24	s.	s.	PROPN
cana-2251	327	25	,	,	PUNCT
cana-2251	327	26	abbasi	abbasi	PROPN
cana-2251	327	27	,	,	PUNCT
cana-2251	327	28	a.	a.	NOUN
cana-2251	327	29	a.	a.	PROPN
cana-2251	327	30	,	,	PUNCT
cana-2251	327	31	&	&	CCONJ
cana-2251	327	32	nabipour	nabipour	PROPN
cana-2251	327	33	,	,	PUNCT
cana-2251	327	34	n.	n.	NOUN
cana-2251	327	35	(	(	PUNCT
cana-2251	327	36	2023	2023	NUM
cana-2251	327	37	)	)	PUNCT
cana-2251	327	38	.	.	PUNCT
cana-2251	328	1	artificial	artificial	ADJ
cana-2251	328	2	neural	neural	ADJ
cana-2251	328	3	networks	network	NOUN
cana-2251	328	4	training	training	NOUN
cana-2251	328	5	algorithm	algorithm	NOUN
cana-2251	328	6	integrating	integrate	VERB
cana-2251	328	7	invasive	invasive	ADJ
cana-2251	328	8	weed	weed	NOUN
cana-2251	328	9	optimization	optimization	NOUN
cana-2251	328	10	with	with	ADP
cana-2251	328	11	differential	differential	ADJ
cana-2251	328	12	evolutionary	evolutionary	ADJ
cana-2251	328	13	model	model	NOUN
cana-2251	328	14	.	.	PUNCT
cana-2251	329	1	journal	journal	PROPN
cana-2251	329	2	of	of	ADP
cana-2251	329	3	ambient	ambient	ADJ
cana-2251	329	4	intelligence	intelligence	NOUN
cana-2251	329	5	and	and	CCONJ
cana-2251	329	6	humanized	humanize	VERB
cana-2251	329	7	computing	computing	NOUN
cana-2251	329	8	,	,	PUNCT
cana-2251	329	9	1	1	NUM
cana-2251	329	10	-	-	SYM
cana-2251	329	11	9	9	NUM
cana-2251	329	12	.	.	PUNCT