id	sid	tid	token	lemma	pos
fcis-7575	1	1	frontiers	frontier	NOUN
fcis-7575	1	2	in	in	ADP
fcis-7575	1	3	computing	computing	NOUN
fcis-7575	1	4	and	and	CCONJ
fcis-7575	1	5	intelligent	intelligent	ADJ
fcis-7575	1	6	systems	system	NOUN
fcis-7575	1	7	issn	issn	VERB
fcis-7575	1	8	:	:	PUNCT
fcis-7575	1	9	2832	2832	NUM
fcis-7575	1	10	-	-	SYM
fcis-7575	1	11	6024	6024	NUM
fcis-7575	1	12	|	|	NOUN
fcis-7575	1	13	vol	vol	NOUN
fcis-7575	1	14	.	.	PROPN
fcis-7575	2	1	3	3	NUM
fcis-7575	2	2	,	,	PUNCT
fcis-7575	2	3	no	no	INTJ
fcis-7575	2	4	.	.	NOUN
fcis-7575	2	5	2	2	NUM
fcis-7575	2	6	,	,	PUNCT
fcis-7575	2	7	2023	2023	NUM
fcis-7575	2	8	118	118	NUM
fcis-7575	2	9	deep	deep	ADJ
fcis-7575	2	10	learning	learning	NOUN
fcis-7575	2	11	in	in	ADP
fcis-7575	2	12	drug	drug	NOUN
fcis-7575	2	13	discovery	discovery	NOUN
fcis-7575	2	14	:	:	PUNCT
fcis-7575	2	15	applications	application	NOUN
fcis-7575	2	16	and	and	CCONJ
fcis-7575	2	17	limitations	limitation	NOUN
fcis-7575	2	18	yuxuan	yuxuan	PROPN
fcis-7575	2	19	tang	tang	PROPN
fcis-7575	2	20	*	*	PUNCT
fcis-7575	2	21	school	school	NOUN
fcis-7575	2	22	of	of	ADP
fcis-7575	2	23	internet	internet	NOUN
fcis-7575	2	24	of	of	ADP
fcis-7575	2	25	things	thing	NOUN
fcis-7575	2	26	engineering	engineering	NOUN
fcis-7575	2	27	,	,	PUNCT
fcis-7575	2	28	jiangnan	jiangnan	PROPN
fcis-7575	2	29	university	university	PROPN
fcis-7575	2	30	,	,	PUNCT
fcis-7575	2	31	wuxi	wuxi	PROPN
fcis-7575	2	32	,	,	PUNCT
fcis-7575	2	33	china	china	PROPN
fcis-7575	2	34	*	*	PUNCT
fcis-7575	2	35	corresponding	correspond	VERB
fcis-7575	2	36	author	author	NOUN
fcis-7575	2	37	email	email	NOUN
fcis-7575	2	38	:	:	PUNCT
fcis-7575	2	39	channing0729@126.com	channing0729@126.com	PROPN
fcis-7575	2	40	abstract	abstract	NOUN
fcis-7575	2	41	:	:	PUNCT
fcis-7575	2	42	drug	drug	NOUN
fcis-7575	2	43	discovery	discovery	NOUN
fcis-7575	2	44	is	be	AUX
fcis-7575	2	45	a	a	DET
fcis-7575	2	46	complex	complex	ADJ
fcis-7575	2	47	and	and	CCONJ
fcis-7575	2	48	challenging	challenging	ADJ
fcis-7575	2	49	process	process	NOUN
fcis-7575	2	50	that	that	PRON
fcis-7575	2	51	requires	require	VERB
fcis-7575	2	52	a	a	DET
fcis-7575	2	53	significant	significant	ADJ
fcis-7575	2	54	amount	amount	NOUN
fcis-7575	2	55	of	of	ADP
fcis-7575	2	56	time	time	NOUN
fcis-7575	2	57	and	and	CCONJ
fcis-7575	2	58	resources	resource	NOUN
fcis-7575	2	59	.	.	PUNCT
fcis-7575	3	1	the	the	DET
fcis-7575	3	2	application	application	NOUN
fcis-7575	3	3	of	of	ADP
fcis-7575	3	4	deep	deep	ADJ
fcis-7575	3	5	learning	learning	NOUN
fcis-7575	3	6	in	in	ADP
fcis-7575	3	7	drug	drug	NOUN
fcis-7575	3	8	discovery	discovery	NOUN
fcis-7575	3	9	has	have	VERB
fcis-7575	3	10	the	the	DET
fcis-7575	3	11	potential	potential	NOUN
fcis-7575	3	12	to	to	PART
fcis-7575	3	13	revolutionize	revolutionize	VERB
fcis-7575	3	14	the	the	DET
fcis-7575	3	15	field	field	NOUN
fcis-7575	3	16	by	by	ADP
fcis-7575	3	17	offering	offer	VERB
fcis-7575	3	18	more	more	ADV
fcis-7575	3	19	efficient	efficient	ADJ
fcis-7575	3	20	and	and	CCONJ
fcis-7575	3	21	accurate	accurate	ADJ
fcis-7575	3	22	methods	method	NOUN
fcis-7575	3	23	for	for	ADP
fcis-7575	3	24	predicting	predict	VERB
fcis-7575	3	25	drug	drug	NOUN
fcis-7575	3	26	-	-	PUNCT
fcis-7575	3	27	target	target	NOUN
fcis-7575	3	28	interactions	interaction	NOUN
fcis-7575	3	29	,	,	PUNCT
fcis-7575	3	30	designing	design	VERB
fcis-7575	3	31	new	new	ADJ
fcis-7575	3	32	drugs	drug	NOUN
fcis-7575	3	33	,	,	PUNCT
fcis-7575	3	34	and	and	CCONJ
fcis-7575	3	35	predicting	predict	VERB
fcis-7575	3	36	toxicity	toxicity	NOUN
fcis-7575	3	37	and	and	CCONJ
fcis-7575	3	38	side	side	NOUN
fcis-7575	3	39	effects	effect	NOUN
fcis-7575	3	40	.	.	PUNCT
fcis-7575	4	1	however	however	ADV
fcis-7575	4	2	,	,	PUNCT
fcis-7575	4	3	there	there	PRON
fcis-7575	4	4	are	be	VERB
fcis-7575	4	5	also	also	ADV
fcis-7575	4	6	several	several	ADJ
fcis-7575	4	7	limitations	limitation	NOUN
fcis-7575	4	8	and	and	CCONJ
fcis-7575	4	9	challenges	challenge	NOUN
fcis-7575	4	10	associated	associate	VERB
fcis-7575	4	11	with	with	ADP
fcis-7575	4	12	the	the	DET
fcis-7575	4	13	use	use	NOUN
fcis-7575	4	14	of	of	ADP
fcis-7575	4	15	deep	deep	ADJ
fcis-7575	4	16	learning	learning	NOUN
fcis-7575	4	17	in	in	ADP
fcis-7575	4	18	drug	drug	NOUN
fcis-7575	4	19	discovery	discovery	NOUN
fcis-7575	4	20	,	,	PUNCT
fcis-7575	4	21	including	include	VERB
fcis-7575	4	22	the	the	DET
fcis-7575	4	23	lack	lack	NOUN
fcis-7575	4	24	of	of	ADP
fcis-7575	4	25	highquality	highquality	NOUN
fcis-7575	4	26	training	training	NOUN
fcis-7575	4	27	data	datum	NOUN
fcis-7575	4	28	,	,	PUNCT
fcis-7575	4	29	overfitting	overfitting	NOUN
fcis-7575	4	30	and	and	CCONJ
fcis-7575	4	31	generalization	generalization	NOUN
fcis-7575	4	32	issues	issue	NOUN
fcis-7575	4	33	,	,	PUNCT
fcis-7575	4	34	interpretability	interpretability	NOUN
fcis-7575	4	35	and	and	CCONJ
fcis-7575	4	36	explainability	explainability	NOUN
fcis-7575	4	37	of	of	ADP
fcis-7575	4	38	deep	deep	ADJ
fcis-7575	4	39	learning	learning	NOUN
fcis-7575	4	40	models	model	NOUN
fcis-7575	4	41	,	,	PUNCT
fcis-7575	4	42	and	and	CCONJ
fcis-7575	4	43	legal	legal	ADJ
fcis-7575	4	44	and	and	CCONJ
fcis-7575	4	45	ethical	ethical	ADJ
fcis-7575	4	46	considerations	consideration	NOUN
fcis-7575	4	47	.	.	PUNCT
fcis-7575	5	1	in	in	ADP
fcis-7575	5	2	this	this	DET
fcis-7575	5	3	review	review	NOUN
fcis-7575	5	4	article	article	NOUN
fcis-7575	5	5	,	,	PUNCT
fcis-7575	5	6	we	we	PRON
fcis-7575	5	7	discuss	discuss	VERB
fcis-7575	5	8	the	the	DET
fcis-7575	5	9	various	various	ADJ
fcis-7575	5	10	applications	application	NOUN
fcis-7575	5	11	of	of	ADP
fcis-7575	5	12	deep	deep	ADJ
fcis-7575	5	13	learning	learning	NOUN
fcis-7575	5	14	in	in	ADP
fcis-7575	5	15	drug	drug	NOUN
fcis-7575	5	16	discovery	discovery	NOUN
fcis-7575	5	17	,	,	PUNCT
fcis-7575	5	18	provide	provide	VERB
fcis-7575	5	19	examples	example	NOUN
fcis-7575	5	20	of	of	ADP
fcis-7575	5	21	successful	successful	ADJ
fcis-7575	5	22	applications	application	NOUN
fcis-7575	5	23	,	,	PUNCT
fcis-7575	5	24	and	and	CCONJ
fcis-7575	5	25	explore	explore	VERB
fcis-7575	5	26	the	the	DET
fcis-7575	5	27	potential	potential	ADJ
fcis-7575	5	28	benefits	benefit	NOUN
fcis-7575	5	29	of	of	ADP
fcis-7575	5	30	using	use	VERB
fcis-7575	5	31	deep	deep	ADJ
fcis-7575	5	32	learning	learning	NOUN
fcis-7575	5	33	.	.	PUNCT
fcis-7575	6	1	we	we	PRON
fcis-7575	6	2	also	also	ADV
fcis-7575	6	3	discuss	discuss	VERB
fcis-7575	6	4	the	the	DET
fcis-7575	6	5	limitations	limitation	NOUN
fcis-7575	6	6	and	and	CCONJ
fcis-7575	6	7	challenges	challenge	NOUN
fcis-7575	6	8	associated	associate	VERB
fcis-7575	6	9	with	with	ADP
fcis-7575	6	10	the	the	DET
fcis-7575	6	11	use	use	NOUN
fcis-7575	6	12	of	of	ADP
fcis-7575	6	13	deep	deep	ADJ
fcis-7575	6	14	learning	learning	NOUN
fcis-7575	6	15	and	and	CCONJ
fcis-7575	6	16	suggest	suggest	VERB
fcis-7575	6	17	ways	way	NOUN
fcis-7575	6	18	in	in	ADP
fcis-7575	6	19	which	which	PRON
fcis-7575	6	20	these	these	DET
fcis-7575	6	21	challenges	challenge	NOUN
fcis-7575	6	22	can	can	AUX
fcis-7575	6	23	be	be	AUX
fcis-7575	6	24	addressed	address	VERB
fcis-7575	6	25	.	.	PUNCT
fcis-7575	7	1	furthermore	furthermore	ADV
fcis-7575	7	2	,	,	PUNCT
fcis-7575	7	3	we	we	PRON
fcis-7575	7	4	discuss	discuss	VERB
fcis-7575	7	5	the	the	DET
fcis-7575	7	6	future	future	ADJ
fcis-7575	7	7	directions	direction	NOUN
fcis-7575	7	8	of	of	ADP
fcis-7575	7	9	research	research	NOUN
fcis-7575	7	10	in	in	ADP
fcis-7575	7	11	this	this	DET
fcis-7575	7	12	area	area	NOUN
fcis-7575	7	13	,	,	PUNCT
fcis-7575	7	14	identify	identify	VERB
fcis-7575	7	15	areas	area	NOUN
fcis-7575	7	16	where	where	SCONJ
fcis-7575	7	17	more	more	ADJ
fcis-7575	7	18	research	research	NOUN
fcis-7575	7	19	is	be	AUX
fcis-7575	7	20	needed	need	VERB
fcis-7575	7	21	,	,	PUNCT
fcis-7575	7	22	and	and	CCONJ
fcis-7575	7	23	provide	provide	VERB
fcis-7575	7	24	recommendations	recommendation	NOUN
fcis-7575	7	25	for	for	ADP
fcis-7575	7	26	future	future	ADJ
fcis-7575	7	27	research	research	NOUN
fcis-7575	7	28	.	.	PUNCT
fcis-7575	8	1	overall	overall	ADV
fcis-7575	8	2	,	,	PUNCT
fcis-7575	8	3	this	this	DET
fcis-7575	8	4	review	review	NOUN
fcis-7575	8	5	article	article	NOUN
fcis-7575	8	6	highlights	highlight	VERB
fcis-7575	8	7	the	the	DET
fcis-7575	8	8	potential	potential	NOUN
fcis-7575	8	9	of	of	ADP
fcis-7575	8	10	deep	deep	ADJ
fcis-7575	8	11	learning	learning	NOUN
fcis-7575	8	12	in	in	ADP
fcis-7575	8	13	drug	drug	NOUN
fcis-7575	8	14	discovery	discovery	NOUN
fcis-7575	8	15	and	and	CCONJ
fcis-7575	8	16	provides	provide	VERB
fcis-7575	8	17	insights	insight	NOUN
fcis-7575	8	18	into	into	ADP
fcis-7575	8	19	the	the	DET
fcis-7575	8	20	challenges	challenge	NOUN
fcis-7575	8	21	and	and	CCONJ
fcis-7575	8	22	opportunities	opportunity	NOUN
fcis-7575	8	23	associated	associate	VERB
fcis-7575	8	24	with	with	ADP
fcis-7575	8	25	its	its	PRON
fcis-7575	8	26	use	use	NOUN
fcis-7575	8	27	.	.	PUNCT
fcis-7575	9	1	keywords	keyword	NOUN
fcis-7575	9	2	:	:	PUNCT
fcis-7575	9	3	deep	deep	ADJ
fcis-7575	9	4	learning	learning	NOUN
fcis-7575	9	5	;	;	PUNCT
fcis-7575	9	6	drug	drug	NOUN
fcis-7575	9	7	discovery	discovery	NOUN
fcis-7575	9	8	;	;	PUNCT
fcis-7575	9	9	prediction	prediction	NOUN
fcis-7575	9	10	;	;	PUNCT
fcis-7575	9	11	virtual	virtual	ADJ
fcis-7575	9	12	screening	screening	NOUN
fcis-7575	9	13	;	;	PUNCT
fcis-7575	9	14	drug	drug	NOUN
fcis-7575	9	15	toxicity	toxicity	NOUN
fcis-7575	9	16	;	;	PUNCT
fcis-7575	9	17	machine	machine	NOUN
fcis-7575	9	18	learning	learning	NOUN
fcis-7575	9	19	;	;	PUNCT
fcis-7575	9	20	artificial	artificial	ADJ
fcis-7575	9	21	intelligence	intelligence	NOUN
fcis-7575	9	22	.	.	PUNCT
fcis-7575	10	1	1	1	X
fcis-7575	10	2	.	.	X
fcis-7575	10	3	introduction	introduction	NOUN
fcis-7575	10	4	the	the	DET
fcis-7575	10	5	drug	drug	NOUN
fcis-7575	10	6	discovery	discovery	NOUN
fcis-7575	10	7	process	process	NOUN
fcis-7575	10	8	is	be	AUX
fcis-7575	10	9	a	a	DET
fcis-7575	10	10	complex	complex	ADJ
fcis-7575	10	11	and	and	CCONJ
fcis-7575	10	12	timeconsuming	timeconsuming	ADJ
fcis-7575	10	13	endeavor	endeavor	NOUN
fcis-7575	10	14	that	that	PRON
fcis-7575	10	15	involves	involve	VERB
fcis-7575	10	16	identifying	identify	VERB
fcis-7575	10	17	drug	drug	NOUN
fcis-7575	10	18	targets	target	NOUN
fcis-7575	10	19	,	,	PUNCT
fcis-7575	10	20	screening	screen	VERB
fcis-7575	10	21	large	large	ADJ
fcis-7575	10	22	libraries	library	NOUN
fcis-7575	10	23	of	of	ADP
fcis-7575	10	24	compounds	compound	NOUN
fcis-7575	10	25	,	,	PUNCT
fcis-7575	10	26	and	and	CCONJ
fcis-7575	10	27	optimizing	optimize	VERB
fcis-7575	10	28	lead	lead	NOUN
fcis-7575	10	29	compounds	compound	VERB
fcis-7575	10	30	through	through	ADP
fcis-7575	10	31	a	a	DET
fcis-7575	10	32	series	series	NOUN
fcis-7575	10	33	of	of	ADP
fcis-7575	10	34	iterations	iteration	NOUN
fcis-7575	10	35	.	.	PUNCT
fcis-7575	11	1	despite	despite	SCONJ
fcis-7575	11	2	significant	significant	ADJ
fcis-7575	11	3	advances	advance	NOUN
fcis-7575	11	4	in	in	ADP
fcis-7575	11	5	drug	drug	NOUN
fcis-7575	11	6	discovery	discovery	NOUN
fcis-7575	11	7	technologies	technology	NOUN
fcis-7575	11	8	,	,	PUNCT
fcis-7575	11	9	the	the	DET
fcis-7575	11	10	high	high	ADJ
fcis-7575	11	11	attrition	attrition	NOUN
fcis-7575	11	12	rate	rate	NOUN
fcis-7575	11	13	and	and	CCONJ
fcis-7575	11	14	the	the	DET
fcis-7575	11	15	lack	lack	NOUN
fcis-7575	11	16	of	of	ADP
fcis-7575	11	17	predictive	predictive	ADJ
fcis-7575	11	18	models	model	NOUN
fcis-7575	11	19	for	for	ADP
fcis-7575	11	20	drug	drug	NOUN
fcis-7575	11	21	efficacy	efficacy	NOUN
fcis-7575	11	22	and	and	CCONJ
fcis-7575	11	23	toxicity	toxicity	NOUN
fcis-7575	11	24	remain	remain	VERB
fcis-7575	11	25	major	major	ADJ
fcis-7575	11	26	challenges	challenge	NOUN
fcis-7575	11	27	in	in	ADP
fcis-7575	11	28	the	the	DET
fcis-7575	11	29	field	field	NOUN
fcis-7575	11	30	.	.	PUNCT
fcis-7575	12	1	in	in	ADP
fcis-7575	12	2	recent	recent	ADJ
fcis-7575	12	3	years	year	NOUN
fcis-7575	12	4	,	,	PUNCT
fcis-7575	12	5	deep	deep	ADJ
fcis-7575	12	6	learning	learning	NOUN
fcis-7575	12	7	has	have	AUX
fcis-7575	12	8	emerged	emerge	VERB
fcis-7575	12	9	as	as	ADP
fcis-7575	12	10	a	a	DET
fcis-7575	12	11	promising	promising	ADJ
fcis-7575	12	12	approach	approach	NOUN
fcis-7575	12	13	to	to	PART
fcis-7575	12	14	address	address	VERB
fcis-7575	12	15	some	some	PRON
fcis-7575	12	16	of	of	ADP
fcis-7575	12	17	these	these	DET
fcis-7575	12	18	challenges	challenge	NOUN
fcis-7575	12	19	.	.	PUNCT
fcis-7575	13	1	deep	deep	ADJ
fcis-7575	13	2	learning	learning	NOUN
fcis-7575	13	3	is	be	AUX
fcis-7575	13	4	a	a	DET
fcis-7575	13	5	type	type	NOUN
fcis-7575	13	6	of	of	ADP
fcis-7575	13	7	artificial	artificial	ADJ
fcis-7575	13	8	intelligence	intelligence	NOUN
fcis-7575	13	9	that	that	PRON
fcis-7575	13	10	involves	involve	VERB
fcis-7575	13	11	training	train	VERB
fcis-7575	13	12	artificial	artificial	ADJ
fcis-7575	13	13	neural	neural	ADJ
fcis-7575	13	14	networks	network	NOUN
fcis-7575	13	15	with	with	ADP
fcis-7575	13	16	large	large	ADJ
fcis-7575	13	17	amounts	amount	NOUN
fcis-7575	13	18	of	of	ADP
fcis-7575	13	19	data	datum	NOUN
fcis-7575	13	20	to	to	PART
fcis-7575	13	21	learn	learn	VERB
fcis-7575	13	22	patterns	pattern	NOUN
fcis-7575	13	23	and	and	CCONJ
fcis-7575	13	24	relationships	relationship	NOUN
fcis-7575	13	25	,	,	PUNCT
fcis-7575	13	26	which	which	PRON
fcis-7575	13	27	can	can	AUX
fcis-7575	13	28	then	then	ADV
fcis-7575	13	29	be	be	AUX
fcis-7575	13	30	used	use	VERB
fcis-7575	13	31	to	to	PART
fcis-7575	13	32	make	make	VERB
fcis-7575	13	33	predictions	prediction	NOUN
fcis-7575	13	34	or	or	CCONJ
fcis-7575	13	35	generate	generate	VERB
fcis-7575	13	36	new	new	ADJ
fcis-7575	13	37	data	datum	NOUN
fcis-7575	13	38	.	.	PUNCT
fcis-7575	14	1	in	in	ADP
fcis-7575	14	2	drug	drug	NOUN
fcis-7575	14	3	discovery	discovery	NOUN
fcis-7575	14	4	,	,	PUNCT
fcis-7575	14	5	deep	deep	ADJ
fcis-7575	14	6	learning	learning	NOUN
fcis-7575	14	7	has	have	AUX
fcis-7575	14	8	been	be	AUX
fcis-7575	14	9	applied	apply	VERB
fcis-7575	14	10	to	to	ADP
fcis-7575	14	11	various	various	ADJ
fcis-7575	14	12	tasks	task	NOUN
fcis-7575	14	13	,	,	PUNCT
fcis-7575	14	14	such	such	ADJ
fcis-7575	14	15	as	as	ADP
fcis-7575	14	16	predicting	predict	VERB
fcis-7575	14	17	drug	drug	NOUN
fcis-7575	14	18	-	-	PUNCT
fcis-7575	14	19	target	target	NOUN
fcis-7575	14	20	interactions	interaction	NOUN
fcis-7575	14	21	,	,	PUNCT
fcis-7575	14	22	identifying	identify	VERB
fcis-7575	14	23	novel	novel	ADJ
fcis-7575	14	24	drug	drug	NOUN
fcis-7575	14	25	candidates	candidate	NOUN
fcis-7575	14	26	,	,	PUNCT
fcis-7575	14	27	and	and	CCONJ
fcis-7575	14	28	optimizing	optimize	VERB
fcis-7575	14	29	lead	lead	NOUN
fcis-7575	14	30	compounds	compound	NOUN
fcis-7575	14	31	.	.	PUNCT
fcis-7575	15	1	one	one	NUM
fcis-7575	15	2	key	key	ADJ
fcis-7575	15	3	advantage	advantage	NOUN
fcis-7575	15	4	of	of	ADP
fcis-7575	15	5	deep	deep	ADJ
fcis-7575	15	6	learning	learning	NOUN
fcis-7575	15	7	is	be	AUX
fcis-7575	15	8	its	its	PRON
fcis-7575	15	9	ability	ability	NOUN
fcis-7575	15	10	to	to	PART
fcis-7575	15	11	learn	learn	VERB
fcis-7575	15	12	from	from	ADP
fcis-7575	15	13	complex	complex	ADJ
fcis-7575	15	14	and	and	CCONJ
fcis-7575	15	15	heterogeneous	heterogeneous	ADJ
fcis-7575	15	16	data	datum	NOUN
fcis-7575	15	17	,	,	PUNCT
fcis-7575	15	18	such	such	ADJ
fcis-7575	15	19	as	as	ADP
fcis-7575	15	20	genomic	genomic	ADJ
fcis-7575	15	21	data	datum	NOUN
fcis-7575	15	22	,	,	PUNCT
fcis-7575	15	23	chemical	chemical	NOUN
fcis-7575	15	24	structures	structure	NOUN
fcis-7575	15	25	,	,	PUNCT
fcis-7575	15	26	and	and	CCONJ
fcis-7575	15	27	clinical	clinical	ADJ
fcis-7575	15	28	outcomes	outcome	NOUN
fcis-7575	15	29	,	,	PUNCT
fcis-7575	15	30	which	which	PRON
fcis-7575	15	31	can	can	AUX
fcis-7575	15	32	be	be	AUX
fcis-7575	15	33	integrated	integrate	VERB
fcis-7575	15	34	to	to	PART
fcis-7575	15	35	provide	provide	VERB
fcis-7575	15	36	a	a	DET
fcis-7575	15	37	more	more	ADV
fcis-7575	15	38	comprehensive	comprehensive	ADJ
fcis-7575	15	39	understanding	understanding	NOUN
fcis-7575	15	40	of	of	ADP
fcis-7575	15	41	the	the	DET
fcis-7575	15	42	disease	disease	NOUN
fcis-7575	15	43	and	and	CCONJ
fcis-7575	15	44	the	the	DET
fcis-7575	15	45	drug	drug	NOUN
fcis-7575	15	46	's	's	PART
fcis-7575	15	47	mechanism	mechanism	NOUN
fcis-7575	15	48	of	of	ADP
fcis-7575	15	49	action	action	NOUN
fcis-7575	15	50	.	.	PUNCT
fcis-7575	16	1	deep	deep	ADJ
fcis-7575	16	2	learning	learning	NOUN
fcis-7575	16	3	models	model	NOUN
fcis-7575	16	4	have	have	AUX
fcis-7575	16	5	shown	show	VERB
fcis-7575	16	6	promising	promising	ADJ
fcis-7575	16	7	results	result	NOUN
fcis-7575	16	8	in	in	ADP
fcis-7575	16	9	predicting	predict	VERB
fcis-7575	16	10	drug	drug	NOUN
fcis-7575	16	11	efficacy	efficacy	NOUN
fcis-7575	16	12	and	and	CCONJ
fcis-7575	16	13	toxicity	toxicity	NOUN
fcis-7575	16	14	,	,	PUNCT
fcis-7575	16	15	as	as	ADV
fcis-7575	16	16	well	well	ADV
fcis-7575	16	17	as	as	ADP
fcis-7575	16	18	identifying	identify	VERB
fcis-7575	16	19	new	new	ADJ
fcis-7575	16	20	drug	drug	NOUN
fcis-7575	16	21	targets	target	NOUN
fcis-7575	16	22	and	and	CCONJ
fcis-7575	16	23	repurposing	repurpose	VERB
fcis-7575	16	24	existing	exist	VERB
fcis-7575	16	25	drugs	drug	NOUN
fcis-7575	16	26	for	for	ADP
fcis-7575	16	27	new	new	ADJ
fcis-7575	16	28	indications	indication	NOUN
fcis-7575	16	29	.	.	PUNCT
fcis-7575	17	1	in	in	ADP
fcis-7575	17	2	addition	addition	NOUN
fcis-7575	17	3	,	,	PUNCT
fcis-7575	17	4	generative	generative	ADJ
fcis-7575	17	5	deep	deep	ADJ
fcis-7575	17	6	learning	learning	NOUN
fcis-7575	17	7	models	model	NOUN
fcis-7575	17	8	,	,	PUNCT
fcis-7575	17	9	such	such	ADJ
fcis-7575	17	10	as	as	ADP
fcis-7575	17	11	generative	generative	ADJ
fcis-7575	17	12	adversarial	adversarial	ADJ
fcis-7575	17	13	networks	network	NOUN
fcis-7575	17	14	(	(	PUNCT
fcis-7575	17	15	gans	gan	NOUN
fcis-7575	17	16	)	)	PUNCT
fcis-7575	17	17	and	and	CCONJ
fcis-7575	17	18	variational	variational	ADJ
fcis-7575	17	19	autoencoders	autoencoder	NOUN
fcis-7575	17	20	(	(	PUNCT
fcis-7575	17	21	vaes	vaes	ADJ
fcis-7575	17	22	)	)	PUNCT
fcis-7575	17	23	,	,	PUNCT
fcis-7575	17	24	can	can	AUX
fcis-7575	17	25	be	be	AUX
fcis-7575	17	26	used	use	VERB
fcis-7575	17	27	to	to	PART
fcis-7575	17	28	design	design	VERB
fcis-7575	17	29	new	new	ADJ
fcis-7575	17	30	compounds	compound	NOUN
fcis-7575	17	31	with	with	ADP
fcis-7575	17	32	desired	desire	VERB
fcis-7575	17	33	properties	property	NOUN
fcis-7575	17	34	,	,	PUNCT
fcis-7575	17	35	such	such	ADJ
fcis-7575	17	36	as	as	ADP
fcis-7575	17	37	high	high	ADJ
fcis-7575	17	38	potency	potency	NOUN
fcis-7575	17	39	and	and	CCONJ
fcis-7575	17	40	selectivity	selectivity	NOUN
fcis-7575	17	41	.	.	PUNCT
fcis-7575	18	1	however	however	ADV
fcis-7575	18	2	,	,	PUNCT
fcis-7575	18	3	the	the	DET
fcis-7575	18	4	application	application	NOUN
fcis-7575	18	5	of	of	ADP
fcis-7575	18	6	deep	deep	ADJ
fcis-7575	18	7	learning	learning	NOUN
fcis-7575	18	8	in	in	ADP
fcis-7575	18	9	drug	drug	NOUN
fcis-7575	18	10	discovery	discovery	NOUN
fcis-7575	18	11	also	also	ADV
fcis-7575	18	12	faces	face	VERB
fcis-7575	18	13	several	several	ADJ
fcis-7575	18	14	challenges	challenge	NOUN
fcis-7575	18	15	and	and	CCONJ
fcis-7575	18	16	limitations	limitation	NOUN
fcis-7575	18	17	,	,	PUNCT
fcis-7575	18	18	such	such	ADJ
fcis-7575	18	19	as	as	ADP
fcis-7575	18	20	the	the	DET
fcis-7575	18	21	lack	lack	NOUN
fcis-7575	18	22	of	of	ADP
fcis-7575	18	23	high	high	ADJ
fcis-7575	18	24	-	-	PUNCT
fcis-7575	18	25	quality	quality	NOUN
fcis-7575	18	26	training	training	NOUN
fcis-7575	18	27	data	datum	NOUN
fcis-7575	18	28	,	,	PUNCT
fcis-7575	18	29	overfitting	overfitting	NOUN
fcis-7575	18	30	and	and	CCONJ
fcis-7575	18	31	generalization	generalization	NOUN
fcis-7575	18	32	issues	issue	NOUN
fcis-7575	18	33	,	,	PUNCT
fcis-7575	18	34	and	and	CCONJ
fcis-7575	18	35	interpretability	interpretability	NOUN
fcis-7575	18	36	and	and	CCONJ
fcis-7575	18	37	explainability	explainability	NOUN
fcis-7575	18	38	of	of	ADP
fcis-7575	18	39	deep	deep	ADJ
fcis-7575	18	40	learning	learning	NOUN
fcis-7575	18	41	models	model	NOUN
fcis-7575	18	42	.	.	PUNCT
fcis-7575	19	1	to	to	PART
fcis-7575	19	2	overcome	overcome	VERB
fcis-7575	19	3	these	these	DET
fcis-7575	19	4	challenges	challenge	NOUN
fcis-7575	19	5	,	,	PUNCT
fcis-7575	19	6	researchers	researcher	NOUN
fcis-7575	19	7	need	need	VERB
fcis-7575	19	8	to	to	PART
fcis-7575	19	9	carefully	carefully	ADV
fcis-7575	19	10	design	design	VERB
fcis-7575	19	11	and	and	CCONJ
fcis-7575	19	12	evaluate	evaluate	VERB
fcis-7575	19	13	deep	deep	ADJ
fcis-7575	19	14	learning	learning	NOUN
fcis-7575	19	15	models	model	NOUN
fcis-7575	19	16	,	,	PUNCT
fcis-7575	19	17	and	and	CCONJ
fcis-7575	19	18	integrate	integrate	VERB
fcis-7575	19	19	them	they	PRON
fcis-7575	19	20	with	with	ADP
fcis-7575	19	21	existing	exist	VERB
fcis-7575	19	22	drug	drug	NOUN
fcis-7575	19	23	discovery	discovery	NOUN
fcis-7575	19	24	methods	method	NOUN
fcis-7575	19	25	and	and	CCONJ
fcis-7575	19	26	workflows	workflow	NOUN
fcis-7575	19	27	.	.	PUNCT
fcis-7575	20	1	in	in	ADP
fcis-7575	20	2	this	this	DET
fcis-7575	20	3	review	review	NOUN
fcis-7575	20	4	,	,	PUNCT
fcis-7575	20	5	we	we	PRON
fcis-7575	20	6	will	will	AUX
fcis-7575	20	7	provide	provide	VERB
fcis-7575	20	8	an	an	DET
fcis-7575	20	9	overview	overview	NOUN
fcis-7575	20	10	of	of	ADP
fcis-7575	20	11	the	the	DET
fcis-7575	20	12	drug	drug	NOUN
fcis-7575	20	13	discovery	discovery	NOUN
fcis-7575	20	14	process	process	NOUN
fcis-7575	20	15	and	and	CCONJ
fcis-7575	20	16	the	the	DET
fcis-7575	20	17	challenges	challenge	NOUN
fcis-7575	20	18	involved	involve	VERB
fcis-7575	20	19	,	,	PUNCT
fcis-7575	20	20	and	and	CCONJ
fcis-7575	20	21	explore	explore	VERB
fcis-7575	20	22	the	the	DET
fcis-7575	20	23	potential	potential	NOUN
fcis-7575	20	24	of	of	ADP
fcis-7575	20	25	deep	deep	ADJ
fcis-7575	20	26	learning	learning	NOUN
fcis-7575	20	27	in	in	ADP
fcis-7575	20	28	drug	drug	NOUN
fcis-7575	20	29	discovery	discovery	NOUN
fcis-7575	20	30	.	.	PUNCT
fcis-7575	21	1	we	we	PRON
fcis-7575	21	2	will	will	AUX
fcis-7575	21	3	also	also	ADV
fcis-7575	21	4	discuss	discuss	VERB
fcis-7575	21	5	the	the	DET
fcis-7575	21	6	current	current	ADJ
fcis-7575	21	7	state	state	NOUN
fcis-7575	21	8	of	of	ADP
fcis-7575	21	9	the	the	DET
fcis-7575	21	10	art	art	NOUN
fcis-7575	21	11	and	and	CCONJ
fcis-7575	21	12	limitations	limitation	NOUN
fcis-7575	21	13	of	of	ADP
fcis-7575	21	14	deep	deep	ADJ
fcis-7575	21	15	learning	learning	NOUN
fcis-7575	21	16	in	in	ADP
fcis-7575	21	17	drug	drug	NOUN
fcis-7575	21	18	discovery	discovery	NOUN
fcis-7575	21	19	,	,	PUNCT
fcis-7575	21	20	and	and	CCONJ
fcis-7575	21	21	highlight	highlight	VERB
fcis-7575	21	22	future	future	ADJ
fcis-7575	21	23	directions	direction	NOUN
fcis-7575	21	24	and	and	CCONJ
fcis-7575	21	25	opportunities	opportunity	NOUN
fcis-7575	21	26	for	for	ADP
fcis-7575	21	27	research	research	NOUN
fcis-7575	21	28	in	in	ADP
fcis-7575	21	29	the	the	DET
fcis-7575	21	30	field	field	NOUN
fcis-7575	21	31	.	.	PUNCT
fcis-7575	22	1	2	2	X
fcis-7575	22	2	.	.	X
fcis-7575	22	3	applications	application	NOUN
fcis-7575	22	4	of	of	ADP
fcis-7575	22	5	deep	deep	ADJ
fcis-7575	22	6	learning	learning	NOUN
fcis-7575	22	7	in	in	ADP
fcis-7575	22	8	drug	drug	NOUN
fcis-7575	22	9	discovery	discovery	NOUN
fcis-7575	22	10	drug	drug	NOUN
fcis-7575	22	11	discovery	discovery	NOUN
fcis-7575	22	12	is	be	AUX
fcis-7575	22	13	a	a	DET
fcis-7575	22	14	lengthy	lengthy	ADJ
fcis-7575	22	15	and	and	CCONJ
fcis-7575	22	16	costly	costly	ADJ
fcis-7575	22	17	process	process	NOUN
fcis-7575	22	18	that	that	PRON
fcis-7575	22	19	involves	involve	VERB
fcis-7575	22	20	identifying	identify	VERB
fcis-7575	22	21	and	and	CCONJ
fcis-7575	22	22	designing	designing	NOUN
fcis-7575	22	23	compounds	compound	NOUN
fcis-7575	22	24	that	that	PRON
fcis-7575	22	25	can	can	AUX
fcis-7575	22	26	target	target	VERB
fcis-7575	22	27	specific	specific	ADJ
fcis-7575	22	28	biological	biological	ADJ
fcis-7575	22	29	molecules	molecule	NOUN
fcis-7575	22	30	and	and	CCONJ
fcis-7575	22	31	pathways	pathway	NOUN
fcis-7575	22	32	,	,	PUNCT
fcis-7575	22	33	and	and	CCONJ
fcis-7575	22	34	then	then	ADV
fcis-7575	22	35	optimizing	optimize	VERB
fcis-7575	22	36	their	their	PRON
fcis-7575	22	37	efficacy	efficacy	NOUN
fcis-7575	22	38	,	,	PUNCT
fcis-7575	22	39	safety	safety	NOUN
fcis-7575	22	40	,	,	PUNCT
fcis-7575	22	41	and	and	CCONJ
fcis-7575	22	42	pharmacokinetic	pharmacokinetic	ADJ
fcis-7575	22	43	properties	property	NOUN
fcis-7575	22	44	through	through	ADP
fcis-7575	22	45	a	a	DET
fcis-7575	22	46	series	series	NOUN
fcis-7575	22	47	of	of	ADP
fcis-7575	22	48	preclinical	preclinical	ADJ
fcis-7575	22	49	and	and	CCONJ
fcis-7575	22	50	clinical	clinical	ADJ
fcis-7575	22	51	trials	trial	NOUN
fcis-7575	22	52	.	.	PUNCT
fcis-7575	23	1	despite	despite	SCONJ
fcis-7575	23	2	significant	significant	ADJ
fcis-7575	23	3	advancements	advancement	NOUN
fcis-7575	23	4	in	in	ADP
fcis-7575	23	5	high	high	ADJ
fcis-7575	23	6	-	-	PUNCT
fcis-7575	23	7	throughput	throughput	NOUN
fcis-7575	23	8	screening	screening	NOUN
fcis-7575	23	9	,	,	PUNCT
fcis-7575	23	10	computational	computational	ADJ
fcis-7575	23	11	modeling	modeling	NOUN
fcis-7575	23	12	,	,	PUNCT
fcis-7575	23	13	and	and	CCONJ
fcis-7575	23	14	experimental	experimental	ADJ
fcis-7575	23	15	techniques	technique	NOUN
fcis-7575	23	16	,	,	PUNCT
fcis-7575	23	17	the	the	DET
fcis-7575	23	18	success	success	NOUN
fcis-7575	23	19	rate	rate	NOUN
fcis-7575	23	20	of	of	ADP
fcis-7575	23	21	drug	drug	NOUN
fcis-7575	23	22	discovery	discovery	NOUN
fcis-7575	23	23	remains	remain	VERB
fcis-7575	23	24	low	low	ADJ
fcis-7575	23	25	,	,	PUNCT
fcis-7575	23	26	with	with	ADP
fcis-7575	23	27	only	only	ADV
fcis-7575	23	28	a	a	DET
fcis-7575	23	29	few	few	ADJ
fcis-7575	23	30	new	new	ADJ
fcis-7575	23	31	drugs	drug	NOUN
fcis-7575	23	32	being	be	AUX
fcis-7575	23	33	approved	approve	VERB
fcis-7575	23	34	by	by	ADP
fcis-7575	23	35	regulatory	regulatory	ADJ
fcis-7575	23	36	agencies	agency	NOUN
fcis-7575	23	37	each	each	DET
fcis-7575	23	38	year	year	NOUN
fcis-7575	23	39	.	.	PUNCT
fcis-7575	24	1	one	one	NUM
fcis-7575	24	2	major	major	ADJ
fcis-7575	24	3	bottleneck	bottleneck	NOUN
fcis-7575	24	4	in	in	ADP
fcis-7575	24	5	the	the	DET
fcis-7575	24	6	drug	drug	NOUN
fcis-7575	24	7	discovery	discovery	NOUN
fcis-7575	24	8	pipeline	pipeline	NOUN
fcis-7575	24	9	is	be	AUX
fcis-7575	24	10	the	the	DET
fcis-7575	24	11	lack	lack	NOUN
fcis-7575	24	12	of	of	ADP
fcis-7575	24	13	accurate	accurate	ADJ
fcis-7575	24	14	and	and	CCONJ
fcis-7575	24	15	predictive	predictive	ADJ
fcis-7575	24	16	models	model	NOUN
fcis-7575	24	17	for	for	ADP
fcis-7575	24	18	drug	drug	NOUN
fcis-7575	24	19	-	-	PUNCT
fcis-7575	24	20	target	target	NOUN
fcis-7575	24	21	interactions	interaction	NOUN
fcis-7575	24	22	,	,	PUNCT
fcis-7575	24	23	toxicity	toxicity	NOUN
fcis-7575	24	24	,	,	PUNCT
fcis-7575	24	25	and	and	CCONJ
fcis-7575	24	26	pharmacology	pharmacology	NOUN
fcis-7575	24	27	.	.	PUNCT
fcis-7575	25	1	deep	deep	ADJ
fcis-7575	25	2	learning	learning	NOUN
fcis-7575	25	3	,	,	PUNCT
fcis-7575	25	4	a	a	DET
fcis-7575	25	5	subset	subset	NOUN
fcis-7575	25	6	of	of	ADP
fcis-7575	25	7	machine	machine	NOUN
fcis-7575	25	8	learning	learning	NOUN
fcis-7575	25	9	that	that	PRON
fcis-7575	25	10	uses	use	VERB
fcis-7575	25	11	artificial	artificial	ADJ
fcis-7575	25	12	neural	neural	ADJ
fcis-7575	25	13	networks	network	NOUN
fcis-7575	25	14	with	with	ADP
fcis-7575	25	15	multiple	multiple	ADJ
fcis-7575	25	16	layers	layer	NOUN
fcis-7575	25	17	to	to	PART
fcis-7575	25	18	extract	extract	VERB
fcis-7575	25	19	and	and	CCONJ
fcis-7575	25	20	learn	learn	VERB
fcis-7575	25	21	complex	complex	ADJ
fcis-7575	25	22	patterns	pattern	NOUN
fcis-7575	25	23	from	from	ADP
fcis-7575	25	24	large	large	ADJ
fcis-7575	25	25	datasets	dataset	NOUN
fcis-7575	25	26	,	,	PUNCT
fcis-7575	25	27	has	have	AUX
fcis-7575	25	28	emerged	emerge	VERB
fcis-7575	25	29	as	as	ADP
fcis-7575	25	30	a	a	DET
fcis-7575	25	31	promising	promising	ADJ
fcis-7575	25	32	approach	approach	NOUN
fcis-7575	25	33	to	to	PART
fcis-7575	25	34	address	address	VERB
fcis-7575	25	35	some	some	PRON
fcis-7575	25	36	of	of	ADP
fcis-7575	25	37	these	these	DET
fcis-7575	25	38	challenges	challenge	NOUN
fcis-7575	25	39	.	.	PUNCT
fcis-7575	26	1	here	here	ADV
fcis-7575	26	2	,	,	PUNCT
fcis-7575	26	3	we	we	PRON
fcis-7575	26	4	will	will	AUX
fcis-7575	26	5	explore	explore	VERB
fcis-7575	26	6	the	the	DET
fcis-7575	26	7	application	application	NOUN
fcis-7575	26	8	of	of	ADP
fcis-7575	26	9	deep	deep	ADJ
fcis-7575	26	10	learning	learning	NOUN
fcis-7575	26	11	in	in	ADP
fcis-7575	26	12	the	the	DET
fcis-7575	26	13	field	field	NOUN
fcis-7575	26	14	of	of	ADP
fcis-7575	26	15	pharmaceuticals	pharmaceutical	NOUN
fcis-7575	26	16	.	.	PUNCT
fcis-7575	27	1	2.1	2.1	NUM
fcis-7575	27	2	.	.	PUNCT
fcis-7575	28	1	predictive	predictive	ADJ
fcis-7575	28	2	modeling	modeling	NOUN
fcis-7575	28	3	for	for	ADP
fcis-7575	28	4	drug	drug	NOUN
fcis-7575	28	5	-	-	PUNCT
fcis-7575	28	6	target	target	NOUN
fcis-7575	28	7	interactions	interaction	NOUN
fcis-7575	28	8	one	one	NUM
fcis-7575	28	9	of	of	ADP
fcis-7575	28	10	the	the	DET
fcis-7575	28	11	key	key	ADJ
fcis-7575	28	12	applications	application	NOUN
fcis-7575	28	13	of	of	ADP
fcis-7575	28	14	deep	deep	ADJ
fcis-7575	28	15	learning	learning	NOUN
fcis-7575	28	16	in	in	ADP
fcis-7575	28	17	drug	drug	NOUN
fcis-7575	28	18	discovery	discovery	NOUN
fcis-7575	28	19	is	be	AUX
fcis-7575	28	20	the	the	DET
fcis-7575	28	21	prediction	prediction	NOUN
fcis-7575	28	22	of	of	ADP
fcis-7575	28	23	drug	drug	NOUN
fcis-7575	28	24	-	-	PUNCT
fcis-7575	28	25	target	target	NOUN
fcis-7575	28	26	interactions	interaction	NOUN
fcis-7575	28	27	(	(	PUNCT
fcis-7575	28	28	dtis	dtis	NOUN
fcis-7575	28	29	)	)	PUNCT
fcis-7575	28	30	,	,	PUNCT
fcis-7575	28	31	which	which	PRON
fcis-7575	28	32	are	be	AUX
fcis-7575	28	33	the	the	DET
fcis-7575	28	34	molecular	molecular	ADJ
fcis-7575	28	35	interactions	interaction	NOUN
fcis-7575	28	36	between	between	ADP
fcis-7575	28	37	drugs	drug	NOUN
fcis-7575	28	38	and	and	CCONJ
fcis-7575	28	39	their	their	PRON
fcis-7575	28	40	119	119	NUM
fcis-7575	28	41	intended	intend	VERB
fcis-7575	28	42	protein	protein	NOUN
fcis-7575	28	43	targets	target	NOUN
fcis-7575	28	44	in	in	ADP
fcis-7575	28	45	the	the	DET
fcis-7575	28	46	body	body	NOUN
fcis-7575	28	47	.	.	PUNCT
fcis-7575	29	1	accurate	accurate	ADJ
fcis-7575	29	2	prediction	prediction	NOUN
fcis-7575	29	3	of	of	ADP
fcis-7575	29	4	dtis	dtis	NOUN
fcis-7575	29	5	is	be	AUX
fcis-7575	29	6	crucial	crucial	ADJ
fcis-7575	29	7	for	for	ADP
fcis-7575	29	8	understanding	understand	VERB
fcis-7575	29	9	the	the	DET
fcis-7575	29	10	mechanisms	mechanism	NOUN
fcis-7575	29	11	of	of	ADP
fcis-7575	29	12	action	action	NOUN
fcis-7575	29	13	of	of	ADP
fcis-7575	29	14	drugs	drug	NOUN
fcis-7575	29	15	,	,	PUNCT
fcis-7575	29	16	identifying	identify	VERB
fcis-7575	29	17	potential	potential	ADJ
fcis-7575	29	18	drug	drug	NOUN
fcis-7575	29	19	targets	target	NOUN
fcis-7575	29	20	,	,	PUNCT
fcis-7575	29	21	and	and	CCONJ
fcis-7575	29	22	designing	design	VERB
fcis-7575	29	23	new	new	ADJ
fcis-7575	29	24	drugs	drug	NOUN
fcis-7575	29	25	with	with	ADP
fcis-7575	29	26	improved	improved	ADJ
fcis-7575	29	27	efficacy	efficacy	NOUN
fcis-7575	29	28	and	and	CCONJ
fcis-7575	29	29	safety	safety	NOUN
fcis-7575	29	30	profiles	profile	NOUN
fcis-7575	29	31	.	.	PUNCT
fcis-7575	30	1	traditional	traditional	ADJ
fcis-7575	30	2	methods	method	NOUN
fcis-7575	30	3	for	for	ADP
fcis-7575	30	4	predicting	predict	VERB
fcis-7575	30	5	dtis	dtis	NOUN
fcis-7575	30	6	rely	rely	VERB
fcis-7575	30	7	on	on	ADP
fcis-7575	30	8	molecular	molecular	ADJ
fcis-7575	30	9	docking	docking	NOUN
fcis-7575	30	10	,	,	PUNCT
fcis-7575	30	11	which	which	PRON
fcis-7575	30	12	involves	involve	VERB
fcis-7575	30	13	computationally	computationally	ADV
fcis-7575	30	14	docking	dock	VERB
fcis-7575	30	15	a	a	DET
fcis-7575	30	16	drug	drug	NOUN
fcis-7575	30	17	molecule	molecule	NOUN
fcis-7575	30	18	into	into	ADP
fcis-7575	30	19	a	a	DET
fcis-7575	30	20	protein	protein	NOUN
fcis-7575	30	21	structure	structure	NOUN
fcis-7575	30	22	to	to	PART
fcis-7575	30	23	predict	predict	VERB
fcis-7575	30	24	its	its	PRON
fcis-7575	30	25	binding	bind	VERB
fcis-7575	30	26	affinity	affinity	NOUN
fcis-7575	30	27	and	and	CCONJ
fcis-7575	30	28	mode	mode	NOUN
fcis-7575	30	29	of	of	ADP
fcis-7575	30	30	action	action	NOUN
fcis-7575	30	31	.	.	PUNCT
fcis-7575	31	1	however	however	ADV
fcis-7575	31	2	,	,	PUNCT
fcis-7575	31	3	molecular	molecular	ADJ
fcis-7575	31	4	docking	docking	NOUN
fcis-7575	31	5	is	be	AUX
fcis-7575	31	6	computationally	computationally	ADV
fcis-7575	31	7	expensive	expensive	ADJ
fcis-7575	31	8	and	and	CCONJ
fcis-7575	31	9	often	often	ADV
fcis-7575	31	10	fails	fail	VERB
fcis-7575	31	11	to	to	PART
fcis-7575	31	12	capture	capture	VERB
fcis-7575	31	13	the	the	DET
fcis-7575	31	14	full	full	ADJ
fcis-7575	31	15	complexity	complexity	NOUN
fcis-7575	31	16	of	of	ADP
fcis-7575	31	17	dtis	dtis	NOUN
fcis-7575	31	18	,	,	PUNCT
fcis-7575	31	19	especially	especially	ADV
fcis-7575	31	20	for	for	ADP
fcis-7575	31	21	large	large	ADJ
fcis-7575	31	22	and	and	CCONJ
fcis-7575	31	23	flexible	flexible	ADJ
fcis-7575	31	24	proteins	protein	NOUN
fcis-7575	31	25	.	.	PUNCT
fcis-7575	32	1	deep	deep	ADJ
fcis-7575	32	2	learning	learning	NOUN
fcis-7575	32	3	models	model	NOUN
fcis-7575	32	4	,	,	PUNCT
fcis-7575	32	5	on	on	ADP
fcis-7575	32	6	the	the	DET
fcis-7575	32	7	other	other	ADJ
fcis-7575	32	8	hand	hand	NOUN
fcis-7575	32	9	,	,	PUNCT
fcis-7575	32	10	can	can	AUX
fcis-7575	32	11	learn	learn	VERB
fcis-7575	32	12	to	to	PART
fcis-7575	32	13	extract	extract	VERB
fcis-7575	32	14	and	and	CCONJ
fcis-7575	32	15	integrate	integrate	VERB
fcis-7575	32	16	multiple	multiple	ADJ
fcis-7575	32	17	features	feature	NOUN
fcis-7575	32	18	of	of	ADP
fcis-7575	32	19	drug	drug	NOUN
fcis-7575	32	20	and	and	CCONJ
fcis-7575	32	21	protein	protein	NOUN
fcis-7575	32	22	molecules	molecule	NOUN
fcis-7575	32	23	from	from	ADP
fcis-7575	32	24	large	large	ADJ
fcis-7575	32	25	-	-	PUNCT
fcis-7575	32	26	scale	scale	NOUN
fcis-7575	32	27	datasets	dataset	NOUN
fcis-7575	32	28	,	,	PUNCT
fcis-7575	32	29	such	such	ADJ
fcis-7575	32	30	as	as	ADP
fcis-7575	32	31	chemical	chemical	ADJ
fcis-7575	32	32	fingerprints	fingerprint	NOUN
fcis-7575	32	33	,	,	PUNCT
fcis-7575	32	34	molecular	molecular	ADJ
fcis-7575	32	35	descriptors	descriptor	NOUN
fcis-7575	32	36	,	,	PUNCT
fcis-7575	32	37	and	and	CCONJ
fcis-7575	32	38	protein	protein	NOUN
fcis-7575	32	39	sequences	sequence	NOUN
fcis-7575	32	40	,	,	PUNCT
fcis-7575	32	41	to	to	PART
fcis-7575	32	42	predict	predict	VERB
fcis-7575	32	43	dtis	dtis	NOUN
fcis-7575	32	44	with	with	ADP
fcis-7575	32	45	high	high	ADJ
fcis-7575	32	46	accuracy	accuracy	NOUN
fcis-7575	32	47	and	and	CCONJ
fcis-7575	32	48	speed	speed	NOUN
fcis-7575	32	49	.	.	PUNCT
fcis-7575	33	1	various	various	ADJ
fcis-7575	33	2	deep	deep	ADJ
fcis-7575	33	3	learning	learning	NOUN
fcis-7575	33	4	architectures	architecture	NOUN
fcis-7575	33	5	,	,	PUNCT
fcis-7575	33	6	such	such	ADJ
fcis-7575	33	7	as	as	ADP
fcis-7575	33	8	convolutional	convolutional	ADJ
fcis-7575	33	9	neural	neural	ADJ
fcis-7575	33	10	networks	network	NOUN
fcis-7575	33	11	(	(	PUNCT
fcis-7575	33	12	cnns	cnns	PROPN
fcis-7575	33	13	)	)	PUNCT
fcis-7575	33	14	,	,	PUNCT
fcis-7575	33	15	recurrent	recurrent	ADJ
fcis-7575	33	16	neural	neural	ADJ
fcis-7575	33	17	networks	network	NOUN
fcis-7575	33	18	(	(	PUNCT
fcis-7575	33	19	rnns	rnns	PROPN
fcis-7575	33	20	)	)	PUNCT
fcis-7575	33	21	,	,	PUNCT
fcis-7575	33	22	and	and	CCONJ
fcis-7575	33	23	graph	graph	VERB
fcis-7575	33	24	neural	neural	ADJ
fcis-7575	33	25	networks	network	NOUN
fcis-7575	33	26	(	(	PUNCT
fcis-7575	33	27	gnns	gnns	NOUN
fcis-7575	33	28	)	)	PUNCT
fcis-7575	33	29	,	,	PUNCT
fcis-7575	33	30	have	have	AUX
fcis-7575	33	31	been	be	AUX
fcis-7575	33	32	developed	develop	VERB
fcis-7575	33	33	for	for	ADP
fcis-7575	33	34	dti	dti	PROPN
fcis-7575	33	35	prediction	prediction	NOUN
fcis-7575	33	36	and	and	CCONJ
fcis-7575	33	37	achieved	achieve	VERB
fcis-7575	33	38	state	state	NOUN
fcis-7575	33	39	-	-	PUNCT
fcis-7575	33	40	of	of	ADP
fcis-7575	33	41	-	-	PUNCT
fcis-7575	33	42	the	the	DET
fcis-7575	33	43	-	-	PUNCT
fcis-7575	33	44	art	art	NOUN
fcis-7575	33	45	performance	performance	NOUN
fcis-7575	33	46	on	on	ADP
fcis-7575	33	47	benchmark	benchmark	ADJ
fcis-7575	33	48	datasets	dataset	NOUN
fcis-7575	33	49	[	[	X
fcis-7575	33	50	13	13	NUM
fcis-7575	33	51	-	-	SYM
fcis-7575	33	52	15	15	NUM
fcis-7575	33	53	]	]	PUNCT
fcis-7575	33	54	.	.	PUNCT
fcis-7575	34	1	for	for	ADP
fcis-7575	34	2	example	example	NOUN
fcis-7575	34	3	,	,	PUNCT
fcis-7575	34	4	the	the	DET
fcis-7575	34	5	deepdta	deepdta	NOUN
fcis-7575	34	6	model	model	NOUN
fcis-7575	34	7	,	,	PUNCT
fcis-7575	34	8	which	which	PRON
fcis-7575	34	9	uses	use	VERB
fcis-7575	34	10	a	a	DET
fcis-7575	34	11	cnn	cnn	NOUN
fcis-7575	34	12	to	to	PART
fcis-7575	34	13	encode	encode	VERB
fcis-7575	34	14	the	the	DET
fcis-7575	34	15	drug	drug	NOUN
fcis-7575	34	16	and	and	CCONJ
fcis-7575	34	17	protein	protein	NOUN
fcis-7575	34	18	sequences	sequence	NOUN
fcis-7575	34	19	and	and	CCONJ
fcis-7575	34	20	a	a	DET
fcis-7575	34	21	multilayer	multilayer	ADJ
fcis-7575	34	22	perceptron	perceptron	NOUN
fcis-7575	34	23	to	to	PART
fcis-7575	34	24	predict	predict	VERB
fcis-7575	34	25	the	the	DET
fcis-7575	34	26	binding	bind	VERB
fcis-7575	34	27	affinity	affinity	NOUN
fcis-7575	34	28	,	,	PUNCT
fcis-7575	34	29	achieved	achieve	VERB
fcis-7575	34	30	an	an	DET
fcis-7575	34	31	auc	auc	NOUN
fcis-7575	34	32	-	-	PUNCT
fcis-7575	34	33	roc	roc	NOUN
fcis-7575	34	34	of	of	ADP
fcis-7575	34	35	0.92	0.92	NUM
fcis-7575	34	36	on	on	ADP
fcis-7575	34	37	the	the	DET
fcis-7575	34	38	dud	dud	NOUN
fcis-7575	34	39	-	-	PUNCT
fcis-7575	34	40	e	e	NOUN
fcis-7575	34	41	dataset	dataset	NOUN
fcis-7575	34	42	.	.	PUNCT
fcis-7575	35	1	similarly	similarly	ADV
fcis-7575	35	2	,	,	PUNCT
fcis-7575	35	3	the	the	DET
fcis-7575	35	4	ppi	ppi	NOUN
fcis-7575	35	5	-	-	PUNCT
fcis-7575	35	6	predictor	predictor	NOUN
fcis-7575	35	7	model	model	NOUN
fcis-7575	35	8	,	,	PUNCT
fcis-7575	35	9	which	which	PRON
fcis-7575	35	10	uses	use	VERB
fcis-7575	35	11	a	a	DET
fcis-7575	35	12	gnn	gnn	NOUN
fcis-7575	35	13	to	to	PART
fcis-7575	35	14	encode	encode	VERB
fcis-7575	35	15	the	the	DET
fcis-7575	35	16	protein	protein	NOUN
fcis-7575	35	17	structures	structure	NOUN
fcis-7575	35	18	and	and	CCONJ
fcis-7575	35	19	a	a	DET
fcis-7575	35	20	multilayer	multilayer	ADJ
fcis-7575	35	21	perceptron	perceptron	NOUN
fcis-7575	35	22	to	to	PART
fcis-7575	35	23	predict	predict	VERB
fcis-7575	35	24	the	the	DET
fcis-7575	35	25	interaction	interaction	NOUN
fcis-7575	35	26	probability	probability	NOUN
fcis-7575	35	27	,	,	PUNCT
fcis-7575	35	28	achieved	achieve	VERB
fcis-7575	35	29	an	an	DET
fcis-7575	35	30	auc	auc	NOUN
fcis-7575	35	31	-	-	PUNCT
fcis-7575	35	32	roc	roc	NOUN
fcis-7575	35	33	of	of	ADP
fcis-7575	35	34	0.94	0.94	NUM
fcis-7575	35	35	on	on	ADP
fcis-7575	35	36	the	the	DET
fcis-7575	35	37	biogrid	biogrid	ADJ
fcis-7575	35	38	dataset	dataset	NOUN
fcis-7575	35	39	.	.	PUNCT
fcis-7575	36	1	other	other	ADJ
fcis-7575	36	2	recent	recent	ADJ
fcis-7575	36	3	algorithms	algorithm	NOUN
fcis-7575	36	4	for	for	ADP
fcis-7575	36	5	dti	dti	PROPN
fcis-7575	36	6	prediction	prediction	NOUN
fcis-7575	36	7	include	include	VERB
fcis-7575	36	8	transformer	transformer	NOUN
fcis-7575	36	9	-	-	PUNCT
fcis-7575	36	10	based	base	VERB
fcis-7575	36	11	models	model	NOUN
fcis-7575	36	12	,	,	PUNCT
fcis-7575	36	13	like	like	ADP
fcis-7575	36	14	the	the	DET
fcis-7575	36	15	bert	bert	PROPN
fcis-7575	36	16	(	(	PUNCT
fcis-7575	36	17	bidirectional	bidirectional	ADJ
fcis-7575	36	18	encoder	encoder	NOUN
fcis-7575	36	19	representations	representation	VERB
fcis-7575	36	20	from	from	ADP
fcis-7575	36	21	transformers	transformer	NOUN
fcis-7575	36	22	)	)	PUNCT
fcis-7575	36	23	model	model	NOUN
fcis-7575	36	24	and	and	CCONJ
fcis-7575	36	25	ensemble	ensemble	ADJ
fcis-7575	36	26	learning	learning	NOUN
fcis-7575	36	27	methods	method	NOUN
fcis-7575	36	28	,	,	PUNCT
fcis-7575	36	29	like	like	ADP
fcis-7575	36	30	the	the	DET
fcis-7575	36	31	deeppurpose	deeppurpose	NOUN
fcis-7575	36	32	framework	framework	NOUN
fcis-7575	36	33	.	.	PUNCT
fcis-7575	37	1	for	for	ADP
fcis-7575	37	2	example	example	NOUN
fcis-7575	37	3	,	,	PUNCT
fcis-7575	37	4	the	the	DET
fcis-7575	37	5	bert	bert	PROPN
fcis-7575	37	6	-	-	PUNCT
fcis-7575	37	7	dti	dti	PROPN
fcis-7575	37	8	model	model	NOUN
fcis-7575	37	9	,	,	PUNCT
fcis-7575	37	10	which	which	PRON
fcis-7575	37	11	finetunes	finetune	VERB
fcis-7575	37	12	a	a	DET
fcis-7575	37	13	pretrained	pretraine	VERB
fcis-7575	37	14	bert	bert	PROPN
fcis-7575	37	15	model	model	NOUN
fcis-7575	37	16	on	on	ADP
fcis-7575	37	17	drug	drug	NOUN
fcis-7575	37	18	and	and	CCONJ
fcis-7575	37	19	protein	protein	NOUN
fcis-7575	37	20	sequences	sequence	NOUN
fcis-7575	37	21	,	,	PUNCT
fcis-7575	37	22	achieved	achieve	VERB
fcis-7575	37	23	an	an	DET
fcis-7575	37	24	auc	auc	NOUN
fcis-7575	37	25	-	-	PUNCT
fcis-7575	37	26	roc	roc	NOUN
fcis-7575	37	27	of	of	ADP
fcis-7575	37	28	0.98	0.98	NUM
fcis-7575	37	29	on	on	ADP
fcis-7575	37	30	the	the	DET
fcis-7575	37	31	davis	davis	PROPN
fcis-7575	37	32	and	and	CCONJ
fcis-7575	37	33	metz	metz	PROPN
fcis-7575	37	34	datasets	dataset	NOUN
fcis-7575	37	35	.	.	PUNCT
fcis-7575	38	1	similarly	similarly	ADV
fcis-7575	38	2	,	,	PUNCT
fcis-7575	38	3	the	the	DET
fcis-7575	38	4	deeppurpose	deeppurpose	NOUN
fcis-7575	38	5	framework	framework	NOUN
fcis-7575	38	6	combines	combine	VERB
fcis-7575	38	7	multiple	multiple	ADJ
fcis-7575	38	8	deep	deep	ADJ
fcis-7575	38	9	learning	learning	NOUN
fcis-7575	38	10	models	model	NOUN
fcis-7575	38	11	,	,	PUNCT
fcis-7575	38	12	such	such	ADJ
fcis-7575	38	13	as	as	ADP
fcis-7575	38	14	cnns	cnn	NOUN
fcis-7575	38	15	,	,	PUNCT
fcis-7575	38	16	rnns	rnn	NOUN
fcis-7575	38	17	,	,	PUNCT
fcis-7575	38	18	and	and	CCONJ
fcis-7575	38	19	gnns	gnn	NOUN
fcis-7575	38	20	,	,	PUNCT
fcis-7575	38	21	using	use	VERB
fcis-7575	38	22	ensemble	ensemble	ADJ
fcis-7575	38	23	learning	learning	NOUN
fcis-7575	38	24	methods	method	NOUN
fcis-7575	38	25	like	like	ADP
fcis-7575	38	26	bagging	bag	VERB
fcis-7575	38	27	and	and	CCONJ
fcis-7575	38	28	stacking	stack	VERB
fcis-7575	38	29	to	to	PART
fcis-7575	38	30	achieve	achieve	VERB
fcis-7575	38	31	high	high	ADJ
fcis-7575	38	32	performance	performance	NOUN
fcis-7575	38	33	on	on	ADP
fcis-7575	38	34	various	various	ADJ
fcis-7575	38	35	dti	dti	PROPN
fcis-7575	38	36	prediction	prediction	NOUN
fcis-7575	38	37	tasks	task	NOUN
fcis-7575	38	38	.	.	PUNCT
fcis-7575	39	1	2.2	2.2	NUM
fcis-7575	39	2	.	.	PUNCT
fcis-7575	39	3	virtual	virtual	ADJ
fcis-7575	39	4	screening	screening	NOUN
fcis-7575	39	5	for	for	ADP
fcis-7575	39	6	drug	drug	NOUN
fcis-7575	39	7	discovery	discovery	NOUN
fcis-7575	39	8	virtual	virtual	ADJ
fcis-7575	39	9	screening	screening	NOUN
fcis-7575	39	10	,	,	PUNCT
fcis-7575	39	11	a	a	DET
fcis-7575	39	12	computational	computational	ADJ
fcis-7575	39	13	approach	approach	NOUN
fcis-7575	39	14	to	to	ADP
fcis-7575	39	15	identifying	identify	VERB
fcis-7575	39	16	potential	potential	ADJ
fcis-7575	39	17	drug	drug	NOUN
fcis-7575	39	18	candidates	candidate	NOUN
fcis-7575	39	19	that	that	PRON
fcis-7575	39	20	can	can	AUX
fcis-7575	39	21	bind	bind	VERB
fcis-7575	39	22	to	to	ADP
fcis-7575	39	23	a	a	DET
fcis-7575	39	24	specific	specific	ADJ
fcis-7575	39	25	protein	protein	NOUN
fcis-7575	39	26	target	target	NOUN
fcis-7575	39	27	or	or	CCONJ
fcis-7575	39	28	modulate	modulate	VERB
fcis-7575	39	29	a	a	DET
fcis-7575	39	30	specific	specific	ADJ
fcis-7575	39	31	biological	biological	ADJ
fcis-7575	39	32	pathway	pathway	NOUN
fcis-7575	39	33	,	,	PUNCT
fcis-7575	39	34	is	be	AUX
fcis-7575	39	35	an	an	DET
fcis-7575	39	36	important	important	ADJ
fcis-7575	39	37	application	application	NOUN
fcis-7575	39	38	of	of	ADP
fcis-7575	39	39	deep	deep	ADJ
fcis-7575	39	40	learning	learning	NOUN
fcis-7575	39	41	in	in	ADP
fcis-7575	39	42	drug	drug	NOUN
fcis-7575	39	43	discovery	discovery	NOUN
fcis-7575	39	44	.	.	PUNCT
fcis-7575	40	1	this	this	DET
fcis-7575	40	2	approach	approach	NOUN
fcis-7575	40	3	is	be	AUX
fcis-7575	40	4	attractive	attractive	ADJ
fcis-7575	40	5	for	for	ADP
fcis-7575	40	6	its	its	PRON
fcis-7575	40	7	ability	ability	NOUN
fcis-7575	40	8	to	to	PART
fcis-7575	40	9	accelerate	accelerate	VERB
fcis-7575	40	10	the	the	DET
fcis-7575	40	11	drug	drug	NOUN
fcis-7575	40	12	discovery	discovery	NOUN
fcis-7575	40	13	process	process	NOUN
fcis-7575	40	14	and	and	CCONJ
fcis-7575	40	15	reduce	reduce	VERB
fcis-7575	40	16	the	the	DET
fcis-7575	40	17	cost	cost	NOUN
fcis-7575	40	18	of	of	ADP
fcis-7575	40	19	experimental	experimental	ADJ
fcis-7575	40	20	screening	screening	NOUN
fcis-7575	40	21	.	.	PUNCT
fcis-7575	41	1	however	however	ADV
fcis-7575	41	2	,	,	PUNCT
fcis-7575	41	3	virtual	virtual	ADJ
fcis-7575	41	4	screening	screening	NOUN
fcis-7575	41	5	poses	pose	VERB
fcis-7575	41	6	significant	significant	ADJ
fcis-7575	41	7	challenges	challenge	NOUN
fcis-7575	41	8	due	due	ADP
fcis-7575	41	9	to	to	ADP
fcis-7575	41	10	the	the	DET
fcis-7575	41	11	high	high	ADJ
fcis-7575	41	12	dimensionality	dimensionality	NOUN
fcis-7575	41	13	and	and	CCONJ
fcis-7575	41	14	sparsity	sparsity	NOUN
fcis-7575	41	15	of	of	ADP
fcis-7575	41	16	molecular	molecular	ADJ
fcis-7575	41	17	descriptors	descriptor	NOUN
fcis-7575	41	18	,	,	PUNCT
fcis-7575	41	19	the	the	DET
fcis-7575	41	20	need	need	NOUN
fcis-7575	41	21	for	for	ADP
fcis-7575	41	22	accurate	accurate	ADJ
fcis-7575	41	23	scoring	scoring	NOUN
fcis-7575	41	24	functions	function	NOUN
fcis-7575	41	25	to	to	PART
fcis-7575	41	26	predict	predict	VERB
fcis-7575	41	27	binding	bind	VERB
fcis-7575	41	28	affinities	affinity	NOUN
fcis-7575	41	29	,	,	PUNCT
fcis-7575	41	30	and	and	CCONJ
fcis-7575	41	31	the	the	DET
fcis-7575	41	32	limited	limited	ADJ
fcis-7575	41	33	availability	availability	NOUN
fcis-7575	41	34	of	of	ADP
fcis-7575	41	35	high	high	ADJ
fcis-7575	41	36	-	-	PUNCT
fcis-7575	41	37	quality	quality	NOUN
fcis-7575	41	38	training	training	NOUN
fcis-7575	41	39	data	datum	NOUN
fcis-7575	41	40	.	.	PUNCT
fcis-7575	42	1	fortunately	fortunately	ADV
fcis-7575	42	2	,	,	PUNCT
fcis-7575	42	3	deep	deep	ADJ
fcis-7575	42	4	learning	learning	NOUN
fcis-7575	42	5	models	model	NOUN
fcis-7575	42	6	have	have	AUX
fcis-7575	42	7	shown	show	VERB
fcis-7575	42	8	great	great	ADJ
fcis-7575	42	9	promise	promise	NOUN
fcis-7575	42	10	in	in	ADP
fcis-7575	42	11	addressing	address	VERB
fcis-7575	42	12	these	these	DET
fcis-7575	42	13	challenges	challenge	NOUN
fcis-7575	42	14	and	and	CCONJ
fcis-7575	42	15	improving	improve	VERB
fcis-7575	42	16	the	the	DET
fcis-7575	42	17	performance	performance	NOUN
fcis-7575	42	18	of	of	ADP
fcis-7575	42	19	virtual	virtual	ADJ
fcis-7575	42	20	screening	screening	NOUN
fcis-7575	43	1	[	[	X
fcis-7575	43	2	22	22	NUM
fcis-7575	43	3	-	-	SYM
fcis-7575	43	4	23	23	NUM
fcis-7575	43	5	]	]	PUNCT
fcis-7575	43	6	.	.	PUNCT
fcis-7575	44	1	examples	example	NOUN
fcis-7575	44	2	of	of	ADP
fcis-7575	44	3	such	such	ADJ
fcis-7575	44	4	models	model	NOUN
fcis-7575	44	5	include	include	VERB
fcis-7575	44	6	alphafold	alphafold	VERB
fcis-7575	44	7	,	,	PUNCT
fcis-7575	44	8	which	which	PRON
fcis-7575	44	9	uses	use	VERB
fcis-7575	44	10	a	a	DET
fcis-7575	44	11	neural	neural	ADJ
fcis-7575	44	12	network	network	NOUN
fcis-7575	44	13	to	to	PART
fcis-7575	44	14	predict	predict	VERB
fcis-7575	44	15	protein	protein	NOUN
fcis-7575	44	16	structures	structure	NOUN
fcis-7575	44	17	with	with	ADP
fcis-7575	44	18	remarkable	remarkable	ADJ
fcis-7575	44	19	accuracy	accuracy	NOUN
fcis-7575	44	20	;	;	PUNCT
fcis-7575	44	21	autodock	autodock	NOUN
fcis-7575	44	22	vina	vina	PROPN
fcis-7575	44	23	,	,	PUNCT
fcis-7575	44	24	a	a	DET
fcis-7575	44	25	widely	widely	ADV
fcis-7575	44	26	used	use	VERB
fcis-7575	44	27	docking	docking	NOUN
fcis-7575	44	28	software	software	NOUN
fcis-7575	44	29	that	that	PRON
fcis-7575	44	30	integrates	integrate	VERB
fcis-7575	44	31	machine	machine	NOUN
fcis-7575	44	32	learning	learn	VERB
fcis-7575	44	33	algorithms	algorithm	NOUN
fcis-7575	44	34	to	to	PART
fcis-7575	44	35	improve	improve	VERB
fcis-7575	44	36	docking	docking	NOUN
fcis-7575	44	37	accuracy	accuracy	NOUN
fcis-7575	44	38	.	.	PUNCT
fcis-7575	45	1	and	and	CCONJ
fcis-7575	45	2	deepsite	deepsite	PROPN
fcis-7575	45	3	,	,	PUNCT
fcis-7575	45	4	a	a	DET
fcis-7575	45	5	method	method	NOUN
fcis-7575	45	6	that	that	PRON
fcis-7575	45	7	combines	combine	VERB
fcis-7575	45	8	deep	deep	ADJ
fcis-7575	45	9	learning	learning	NOUN
fcis-7575	45	10	with	with	ADP
fcis-7575	45	11	molecular	molecular	ADJ
fcis-7575	45	12	docking	docking	NOUN
fcis-7575	45	13	to	to	PART
fcis-7575	45	14	predict	predict	VERB
fcis-7575	45	15	ligand	ligand	ADJ
fcis-7575	45	16	binding	bind	VERB
fcis-7575	45	17	sites	site	NOUN
fcis-7575	45	18	with	with	ADP
fcis-7575	45	19	high	high	ADJ
fcis-7575	45	20	accuracy	accuracy	NOUN
fcis-7575	45	21	.	.	PUNCT
fcis-7575	46	1	additionally	additionally	ADV
fcis-7575	46	2	,	,	PUNCT
fcis-7575	46	3	fragment	fragment	NOUN
fcis-7575	46	4	-	-	PUNCT
fcis-7575	46	5	based	base	VERB
fcis-7575	46	6	drug	drug	NOUN
fcis-7575	46	7	design	design	NOUN
fcis-7575	46	8	(	(	PUNCT
fcis-7575	46	9	fbdd	fbdd	PROPN
fcis-7575	46	10	)	)	PUNCT
fcis-7575	46	11	is	be	AUX
fcis-7575	46	12	a	a	DET
fcis-7575	46	13	promising	promising	ADJ
fcis-7575	46	14	approach	approach	NOUN
fcis-7575	46	15	that	that	PRON
fcis-7575	46	16	uses	use	VERB
fcis-7575	46	17	deep	deep	ADJ
fcis-7575	46	18	learning	learning	NOUN
fcis-7575	46	19	algorithms	algorithm	NOUN
fcis-7575	46	20	to	to	PART
fcis-7575	46	21	predict	predict	VERB
fcis-7575	46	22	and	and	CCONJ
fcis-7575	46	23	optimize	optimize	VERB
fcis-7575	46	24	small	small	ADJ
fcis-7575	46	25	molecular	molecular	ADJ
fcis-7575	46	26	fragments	fragment	NOUN
fcis-7575	46	27	that	that	PRON
fcis-7575	46	28	can	can	AUX
fcis-7575	46	29	serve	serve	VERB
fcis-7575	46	30	as	as	ADP
fcis-7575	46	31	the	the	DET
fcis-7575	46	32	basis	basis	NOUN
fcis-7575	46	33	for	for	ADP
fcis-7575	46	34	designing	design	VERB
fcis-7575	46	35	new	new	ADJ
fcis-7575	46	36	drugs	drug	NOUN
fcis-7575	46	37	.	.	PUNCT
fcis-7575	47	1	recent	recent	ADJ
fcis-7575	47	2	efforts	effort	NOUN
fcis-7575	47	3	in	in	ADP
fcis-7575	47	4	this	this	DET
fcis-7575	47	5	area	area	NOUN
fcis-7575	47	6	have	have	AUX
fcis-7575	47	7	also	also	ADV
fcis-7575	47	8	included	include	VERB
fcis-7575	47	9	benchmark	benchmark	NOUN
fcis-7575	47	10	competitions	competition	NOUN
fcis-7575	47	11	such	such	ADJ
fcis-7575	47	12	as	as	ADP
fcis-7575	47	13	the	the	DET
fcis-7575	47	14	d3r	d3r	ADJ
fcis-7575	47	15	grand	grand	ADJ
fcis-7575	47	16	challenge	challenge	NOUN
fcis-7575	47	17	,	,	PUNCT
fcis-7575	47	18	which	which	PRON
fcis-7575	47	19	invites	invite	VERB
fcis-7575	47	20	researchers	researcher	NOUN
fcis-7575	47	21	to	to	PART
fcis-7575	47	22	develop	develop	VERB
fcis-7575	47	23	novel	novel	ADJ
fcis-7575	47	24	virtual	virtual	ADJ
fcis-7575	47	25	screening	screening	NOUN
fcis-7575	47	26	methods	method	NOUN
fcis-7575	47	27	and	and	CCONJ
fcis-7575	47	28	assess	assess	VERB
fcis-7575	47	29	their	their	PRON
fcis-7575	47	30	performance	performance	NOUN
fcis-7575	47	31	against	against	ADP
fcis-7575	47	32	established	establish	VERB
fcis-7575	47	33	benchmarks	benchmark	NOUN
fcis-7575	47	34	.	.	PUNCT
fcis-7575	48	1	such	such	ADJ
fcis-7575	48	2	initiatives	initiative	NOUN
fcis-7575	48	3	have	have	AUX
fcis-7575	48	4	resulted	result	VERB
fcis-7575	48	5	in	in	ADP
fcis-7575	48	6	the	the	DET
fcis-7575	48	7	development	development	NOUN
fcis-7575	48	8	of	of	ADP
fcis-7575	48	9	novel	novel	ADJ
fcis-7575	48	10	deep	deep	ADJ
fcis-7575	48	11	learning	learning	NOUN
fcis-7575	48	12	approaches	approach	NOUN
fcis-7575	48	13	,	,	PUNCT
fcis-7575	48	14	such	such	ADJ
fcis-7575	48	15	as	as	ADP
fcis-7575	48	16	the	the	DET
fcis-7575	48	17	deep	deep	ADJ
fcis-7575	48	18	vs	vs	ADP
fcis-7575	48	19	model	model	NOUN
fcis-7575	48	20	,	,	PUNCT
fcis-7575	48	21	which	which	PRON
fcis-7575	48	22	uses	use	VERB
fcis-7575	48	23	a	a	DET
fcis-7575	48	24	variational	variational	ADJ
fcis-7575	48	25	autoencoder	autoencoder	NOUN
fcis-7575	48	26	(	(	PUNCT
fcis-7575	48	27	vae	vae	PROPN
fcis-7575	48	28	)	)	PUNCT
fcis-7575	48	29	to	to	PART
fcis-7575	48	30	encode	encode	VERB
fcis-7575	48	31	molecular	molecular	ADJ
fcis-7575	48	32	structures	structure	NOUN
fcis-7575	48	33	and	and	CCONJ
fcis-7575	48	34	a	a	DET
fcis-7575	48	35	multilayer	multilayer	ADJ
fcis-7575	48	36	perceptron	perceptron	NOUN
fcis-7575	48	37	to	to	PART
fcis-7575	48	38	predict	predict	VERB
fcis-7575	48	39	binding	bind	VERB
fcis-7575	48	40	affinities	affinity	NOUN
fcis-7575	48	41	with	with	ADP
fcis-7575	48	42	high	high	ADJ
fcis-7575	48	43	accuracy	accuracy	NOUN
fcis-7575	48	44	.	.	PUNCT
fcis-7575	49	1	overall	overall	ADV
fcis-7575	49	2	,	,	PUNCT
fcis-7575	49	3	the	the	DET
fcis-7575	49	4	application	application	NOUN
fcis-7575	49	5	of	of	ADP
fcis-7575	49	6	deep	deep	ADJ
fcis-7575	49	7	learning	learning	NOUN
fcis-7575	49	8	in	in	ADP
fcis-7575	49	9	virtual	virtual	ADJ
fcis-7575	49	10	screening	screening	NOUN
fcis-7575	49	11	holds	hold	VERB
fcis-7575	49	12	significant	significant	ADJ
fcis-7575	49	13	promise	promise	NOUN
fcis-7575	49	14	for	for	ADP
fcis-7575	49	15	improving	improve	VERB
fcis-7575	49	16	the	the	DET
fcis-7575	49	17	drug	drug	NOUN
fcis-7575	49	18	discovery	discovery	NOUN
fcis-7575	49	19	process	process	NOUN
fcis-7575	49	20	and	and	CCONJ
fcis-7575	49	21	accelerating	accelerate	VERB
fcis-7575	49	22	the	the	DET
fcis-7575	49	23	development	development	NOUN
fcis-7575	49	24	of	of	ADP
fcis-7575	49	25	new	new	ADJ
fcis-7575	49	26	drugs	drug	NOUN
fcis-7575	49	27	.	.	PUNCT
fcis-7575	50	1	2.3	2.3	NUM
fcis-7575	50	2	.	.	PUNCT
fcis-7575	50	3	predicting	predict	VERB
fcis-7575	50	4	drug	drug	NOUN
fcis-7575	50	5	toxicity	toxicity	NOUN
fcis-7575	50	6	and	and	CCONJ
fcis-7575	50	7	side	side	NOUN
fcis-7575	50	8	effects	effect	NOUN
fcis-7575	50	9	one	one	NUM
fcis-7575	50	10	of	of	ADP
fcis-7575	50	11	the	the	DET
fcis-7575	50	12	key	key	ADJ
fcis-7575	50	13	challenges	challenge	NOUN
fcis-7575	50	14	in	in	ADP
fcis-7575	50	15	drug	drug	NOUN
fcis-7575	50	16	discovery	discovery	NOUN
fcis-7575	50	17	is	be	AUX
fcis-7575	50	18	predicting	predict	VERB
fcis-7575	50	19	the	the	DET
fcis-7575	50	20	potential	potential	ADJ
fcis-7575	50	21	toxicity	toxicity	NOUN
fcis-7575	50	22	and	and	CCONJ
fcis-7575	50	23	side	side	NOUN
fcis-7575	50	24	effects	effect	NOUN
fcis-7575	50	25	of	of	ADP
fcis-7575	50	26	new	new	ADJ
fcis-7575	50	27	compounds	compound	NOUN
fcis-7575	50	28	.	.	PUNCT
fcis-7575	51	1	traditional	traditional	ADJ
fcis-7575	51	2	methods	method	NOUN
fcis-7575	51	3	for	for	ADP
fcis-7575	51	4	predicting	predict	VERB
fcis-7575	51	5	drug	drug	NOUN
fcis-7575	51	6	toxicity	toxicity	NOUN
fcis-7575	51	7	and	and	CCONJ
fcis-7575	51	8	side	side	NOUN
fcis-7575	51	9	effects	effect	NOUN
fcis-7575	51	10	rely	rely	VERB
fcis-7575	51	11	on	on	ADP
fcis-7575	51	12	animal	animal	NOUN
fcis-7575	51	13	studies	study	NOUN
fcis-7575	51	14	and	and	CCONJ
fcis-7575	51	15	clinical	clinical	ADJ
fcis-7575	51	16	trials	trial	NOUN
fcis-7575	51	17	,	,	PUNCT
fcis-7575	51	18	which	which	PRON
fcis-7575	51	19	are	be	AUX
fcis-7575	51	20	time	time	NOUN
fcis-7575	51	21	-	-	PUNCT
fcis-7575	51	22	consuming	consume	VERB
fcis-7575	51	23	,	,	PUNCT
fcis-7575	51	24	expensive	expensive	ADJ
fcis-7575	51	25	,	,	PUNCT
fcis-7575	51	26	and	and	CCONJ
fcis-7575	51	27	often	often	ADV
fcis-7575	51	28	fail	fail	VERB
fcis-7575	51	29	to	to	PART
fcis-7575	51	30	accurately	accurately	ADV
fcis-7575	51	31	predict	predict	VERB
fcis-7575	51	32	the	the	DET
fcis-7575	51	33	safety	safety	NOUN
fcis-7575	51	34	of	of	ADP
fcis-7575	51	35	new	new	ADJ
fcis-7575	51	36	compounds	compound	NOUN
fcis-7575	51	37	.	.	PUNCT
fcis-7575	52	1	deep	deep	ADJ
fcis-7575	52	2	learning	learning	NOUN
fcis-7575	52	3	has	have	AUX
fcis-7575	52	4	emerged	emerge	VERB
fcis-7575	52	5	as	as	ADP
fcis-7575	52	6	a	a	DET
fcis-7575	52	7	promising	promising	ADJ
fcis-7575	52	8	approach	approach	NOUN
fcis-7575	52	9	for	for	ADP
fcis-7575	52	10	predicting	predict	VERB
fcis-7575	52	11	drug	drug	NOUN
fcis-7575	52	12	toxicity	toxicity	NOUN
fcis-7575	52	13	and	and	CCONJ
fcis-7575	52	14	side	side	NOUN
fcis-7575	52	15	effects	effect	NOUN
fcis-7575	52	16	by	by	ADP
fcis-7575	52	17	analyzing	analyze	VERB
fcis-7575	52	18	large	large	ADJ
fcis-7575	52	19	datasets	dataset	NOUN
fcis-7575	52	20	of	of	ADP
fcis-7575	52	21	chemical	chemical	ADJ
fcis-7575	52	22	and	and	CCONJ
fcis-7575	52	23	biological	biological	ADJ
fcis-7575	52	24	data	datum	NOUN
fcis-7575	52	25	.	.	PUNCT
fcis-7575	53	1	one	one	NUM
fcis-7575	53	2	example	example	NOUN
fcis-7575	53	3	of	of	ADP
fcis-7575	53	4	the	the	DET
fcis-7575	53	5	use	use	NOUN
fcis-7575	53	6	of	of	ADP
fcis-7575	53	7	deep	deep	ADJ
fcis-7575	53	8	learning	learning	NOUN
fcis-7575	53	9	in	in	ADP
fcis-7575	53	10	predicting	predict	VERB
fcis-7575	53	11	drug	drug	NOUN
fcis-7575	53	12	toxicity	toxicity	NOUN
fcis-7575	53	13	and	and	CCONJ
fcis-7575	53	14	side	side	NOUN
fcis-7575	53	15	effects	effect	NOUN
fcis-7575	53	16	is	be	AUX
fcis-7575	53	17	the	the	DET
fcis-7575	53	18	work	work	NOUN
fcis-7575	53	19	of	of	ADP
fcis-7575	53	20	aliper	aliper	NOUN
fcis-7575	53	21	et	et	PROPN
fcis-7575	53	22	al	al	PROPN
fcis-7575	53	23	.	.	PROPN
fcis-7575	53	24	,	,	PUNCT
fcis-7575	53	25	who	who	PRON
fcis-7575	53	26	developed	develop	VERB
fcis-7575	53	27	a	a	DET
fcis-7575	53	28	deep	deep	ADJ
fcis-7575	53	29	neural	neural	ADJ
fcis-7575	53	30	network	network	NOUN
fcis-7575	53	31	to	to	PART
fcis-7575	53	32	predict	predict	VERB
fcis-7575	53	33	the	the	DET
fcis-7575	53	34	toxicity	toxicity	NOUN
fcis-7575	53	35	of	of	ADP
fcis-7575	53	36	various	various	ADJ
fcis-7575	53	37	compounds	compound	NOUN
fcis-7575	53	38	based	base	VERB
fcis-7575	53	39	on	on	ADP
fcis-7575	53	40	their	their	PRON
fcis-7575	53	41	chemical	chemical	NOUN
fcis-7575	53	42	structures	structure	NOUN
fcis-7575	53	43	.	.	PUNCT
fcis-7575	54	1	the	the	DET
fcis-7575	54	2	neural	neural	ADJ
fcis-7575	54	3	network	network	NOUN
fcis-7575	54	4	was	be	AUX
fcis-7575	54	5	trained	train	VERB
fcis-7575	54	6	on	on	ADP
fcis-7575	54	7	a	a	DET
fcis-7575	54	8	dataset	dataset	NOUN
fcis-7575	54	9	of	of	ADP
fcis-7575	54	10	over	over	ADP
fcis-7575	54	11	6,000	6,000	NUM
fcis-7575	54	12	compounds	compound	NOUN
fcis-7575	54	13	with	with	ADP
fcis-7575	54	14	known	know	VERB
fcis-7575	54	15	toxicity	toxicity	NOUN
fcis-7575	54	16	profiles	profile	NOUN
fcis-7575	54	17	and	and	CCONJ
fcis-7575	54	18	achieved	achieve	VERB
fcis-7575	54	19	an	an	DET
fcis-7575	54	20	accuracy	accuracy	NOUN
fcis-7575	54	21	of	of	ADP
fcis-7575	54	22	over	over	ADP
fcis-7575	54	23	90	90	NUM
fcis-7575	54	24	%	%	NOUN
fcis-7575	54	25	in	in	ADP
fcis-7575	54	26	predicting	predict	VERB
fcis-7575	54	27	toxicity	toxicity	NOUN
fcis-7575	54	28	.	.	PUNCT
fcis-7575	55	1	similarly	similarly	ADV
fcis-7575	55	2	,	,	PUNCT
fcis-7575	55	3	sedykh	sedykh	AUX
fcis-7575	55	4	et	et	PROPN
fcis-7575	55	5	al	al	PROPN
fcis-7575	55	6	.	.	PROPN
fcis-7575	55	7	developed	develop	VERB
fcis-7575	55	8	a	a	DET
fcis-7575	55	9	deep	deep	ADJ
fcis-7575	55	10	neural	neural	ADJ
fcis-7575	55	11	network	network	NOUN
fcis-7575	55	12	to	to	PART
fcis-7575	55	13	predict	predict	VERB
fcis-7575	55	14	the	the	DET
fcis-7575	55	15	potential	potential	ADJ
fcis-7575	55	16	cardiotoxicity	cardiotoxicity	NOUN
fcis-7575	55	17	of	of	ADP
fcis-7575	55	18	various	various	ADJ
fcis-7575	55	19	compounds	compound	NOUN
fcis-7575	55	20	based	base	VERB
fcis-7575	55	21	on	on	ADP
fcis-7575	55	22	their	their	PRON
fcis-7575	55	23	chemical	chemical	NOUN
fcis-7575	55	24	structures	structure	NOUN
fcis-7575	55	25	,	,	PUNCT
fcis-7575	55	26	achieving	achieve	VERB
fcis-7575	55	27	an	an	DET
fcis-7575	55	28	accuracy	accuracy	NOUN
fcis-7575	55	29	of	of	ADP
fcis-7575	55	30	90	90	NUM
fcis-7575	55	31	%	%	NOUN
fcis-7575	55	32	in	in	ADP
fcis-7575	55	33	predicting	predict	VERB
fcis-7575	55	34	cardiotoxicity	cardiotoxicity	NOUN
fcis-7575	55	35	.	.	PUNCT
fcis-7575	56	1	other	other	ADJ
fcis-7575	56	2	deep	deep	ADJ
fcis-7575	56	3	learning	learning	NOUN
fcis-7575	56	4	algorithms	algorithm	NOUN
fcis-7575	56	5	have	have	AUX
fcis-7575	56	6	also	also	ADV
fcis-7575	56	7	been	be	AUX
fcis-7575	56	8	developed	develop	VERB
fcis-7575	56	9	for	for	ADP
fcis-7575	56	10	predicting	predict	VERB
fcis-7575	56	11	drug	drug	NOUN
fcis-7575	56	12	toxicity	toxicity	NOUN
fcis-7575	56	13	and	and	CCONJ
fcis-7575	56	14	side	side	NOUN
fcis-7575	56	15	effects	effect	NOUN
fcis-7575	56	16	.	.	PUNCT
fcis-7575	57	1	deeptox	deeptox	PROPN
fcis-7575	57	2	is	be	AUX
fcis-7575	57	3	a	a	DET
fcis-7575	57	4	deep	deep	ADJ
fcis-7575	57	5	learning	learning	NOUN
fcis-7575	57	6	model	model	NOUN
fcis-7575	57	7	developed	develop	VERB
fcis-7575	57	8	by	by	ADP
fcis-7575	57	9	mayr	mayr	PROPN
fcis-7575	57	10	et	et	PROPN
fcis-7575	57	11	al	al	PROPN
fcis-7575	57	12	.	.	PUNCT
fcis-7575	58	1	that	that	PRON
fcis-7575	58	2	predicts	predict	VERB
fcis-7575	58	3	the	the	DET
fcis-7575	58	4	toxicity	toxicity	NOUN
fcis-7575	58	5	of	of	ADP
fcis-7575	58	6	drugs	drug	NOUN
fcis-7575	58	7	by	by	ADP
fcis-7575	58	8	integrating	integrate	VERB
fcis-7575	58	9	multiple	multiple	ADJ
fcis-7575	58	10	sources	source	NOUN
fcis-7575	58	11	of	of	ADP
fcis-7575	58	12	data	datum	NOUN
fcis-7575	58	13	,	,	PUNCT
fcis-7575	58	14	including	include	VERB
fcis-7575	58	15	chemical	chemical	NOUN
fcis-7575	58	16	structure	structure	NOUN
fcis-7575	58	17	,	,	PUNCT
fcis-7575	58	18	gene	gene	NOUN
fcis-7575	58	19	expression	expression	NOUN
fcis-7575	58	20	,	,	PUNCT
fcis-7575	58	21	and	and	CCONJ
fcis-7575	58	22	biological	biological	ADJ
fcis-7575	58	23	pathways	pathway	NOUN
fcis-7575	58	24	.	.	PUNCT
fcis-7575	59	1	deepddi	deepddi	NOUN
fcis-7575	59	2	is	be	AUX
fcis-7575	59	3	a	a	DET
fcis-7575	59	4	deep	deep	ADJ
fcis-7575	59	5	learning	learning	NOUN
fcis-7575	59	6	algorithm	algorithm	NOUN
fcis-7575	59	7	developed	develop	VERB
fcis-7575	59	8	by	by	ADP
fcis-7575	59	9	sun	sun	PROPN
fcis-7575	59	10	et	et	PROPN
fcis-7575	59	11	al	al	PROPN
fcis-7575	59	12	.	.	PUNCT
fcis-7575	60	1	that	that	PRON
fcis-7575	60	2	predicts	predict	VERB
fcis-7575	60	3	potential	potential	ADJ
fcis-7575	60	4	drug	drug	NOUN
fcis-7575	60	5	-	-	PUNCT
fcis-7575	60	6	drug	drug	NOUN
fcis-7575	60	7	interactions	interaction	NOUN
fcis-7575	60	8	by	by	ADP
fcis-7575	60	9	analyzing	analyze	VERB
fcis-7575	60	10	large	large	ADJ
fcis-7575	60	11	datasets	dataset	NOUN
fcis-7575	60	12	of	of	ADP
fcis-7575	60	13	drug	drug	NOUN
fcis-7575	60	14	structures	structure	NOUN
fcis-7575	60	15	and	and	CCONJ
fcis-7575	60	16	biological	biological	ADJ
fcis-7575	60	17	pathways	pathway	NOUN
fcis-7575	60	18	.	.	PUNCT
fcis-7575	61	1	deepcoyote	deepcoyote	VERB
fcis-7575	61	2	is	be	AUX
fcis-7575	61	3	a	a	DET
fcis-7575	61	4	deep	deep	ADJ
fcis-7575	61	5	learning	learning	NOUN
fcis-7575	61	6	model	model	NOUN
fcis-7575	61	7	developed	develop	VERB
fcis-7575	61	8	by	by	ADP
fcis-7575	61	9	sakkiah	sakkiah	PROPN
fcis-7575	61	10	et	et	PROPN
fcis-7575	61	11	al	al	PROPN
fcis-7575	61	12	.	.	PUNCT
fcis-7575	62	1	that	that	PRON
fcis-7575	62	2	predicts	predict	VERB
fcis-7575	62	3	the	the	DET
fcis-7575	62	4	toxicity	toxicity	NOUN
fcis-7575	62	5	of	of	ADP
fcis-7575	62	6	compounds	compound	NOUN
fcis-7575	62	7	based	base	VERB
fcis-7575	62	8	on	on	ADP
fcis-7575	62	9	their	their	PRON
fcis-7575	62	10	chemical	chemical	NOUN
fcis-7575	62	11	structures	structure	NOUN
fcis-7575	62	12	and	and	CCONJ
fcis-7575	62	13	molecular	molecular	ADJ
fcis-7575	62	14	properties	property	NOUN
fcis-7575	62	15	.	.	PUNCT
fcis-7575	63	1	dart	dart	NOUN
fcis-7575	63	2	(	(	PUNCT
fcis-7575	63	3	deep	deep	ADJ
fcis-7575	63	4	adversarial	adversarial	ADJ
fcis-7575	63	5	regularized	regularize	VERB
fcis-7575	63	6	trajectory	trajectory	NOUN
fcis-7575	63	7	)	)	PUNCT
fcis-7575	63	8	is	be	AUX
fcis-7575	63	9	a	a	DET
fcis-7575	63	10	generative	generative	ADJ
fcis-7575	63	11	deep	deep	ADJ
fcis-7575	63	12	learning	learning	NOUN
fcis-7575	63	13	algorithm	algorithm	NOUN
fcis-7575	63	14	developed	develop	VERB
fcis-7575	63	15	by	by	ADP
fcis-7575	63	16	krenn	krenn	PROPN
fcis-7575	63	17	et	et	PROPN
fcis-7575	63	18	al	al	PROPN
fcis-7575	63	19	.	.	PUNCT
fcis-7575	64	1	that	that	PRON
fcis-7575	64	2	is	be	AUX
fcis-7575	64	3	used	use	VERB
fcis-7575	64	4	for	for	ADP
fcis-7575	64	5	de	de	X
fcis-7575	64	6	novo	novo	PROPN
fcis-7575	64	7	drug	drug	NOUN
fcis-7575	64	8	design	design	NOUN
fcis-7575	64	9	.	.	PUNCT
fcis-7575	65	1	overall	overall	ADJ
fcis-7575	65	2	,	,	PUNCT
fcis-7575	65	3	deep	deep	ADJ
fcis-7575	65	4	learning	learning	NOUN
fcis-7575	65	5	algorithms	algorithm	NOUN
fcis-7575	65	6	have	have	AUX
fcis-7575	65	7	shown	show	VERB
fcis-7575	65	8	great	great	ADJ
fcis-7575	65	9	promise	promise	NOUN
fcis-7575	65	10	in	in	ADP
fcis-7575	65	11	predicting	predict	VERB
fcis-7575	65	12	drug	drug	NOUN
fcis-7575	65	13	toxicity	toxicity	NOUN
fcis-7575	65	14	and	and	CCONJ
fcis-7575	65	15	side	side	NOUN
fcis-7575	65	16	effects	effect	NOUN
fcis-7575	65	17	,	,	PUNCT
fcis-7575	65	18	and	and	CCONJ
fcis-7575	65	19	have	have	VERB
fcis-7575	65	20	the	the	DET
fcis-7575	65	21	potential	potential	NOUN
fcis-7575	65	22	to	to	PART
fcis-7575	65	23	greatly	greatly	ADV
fcis-7575	65	24	accelerate	accelerate	VERB
fcis-7575	65	25	the	the	DET
fcis-7575	65	26	drug	drug	NOUN
fcis-7575	65	27	discovery	discovery	NOUN
fcis-7575	65	28	process	process	NOUN
fcis-7575	65	29	by	by	ADP
fcis-7575	65	30	reducing	reduce	VERB
fcis-7575	65	31	the	the	DET
fcis-7575	65	32	need	need	NOUN
fcis-7575	65	33	for	for	ADP
fcis-7575	65	34	animal	animal	NOUN
fcis-7575	65	35	studies	study	NOUN
fcis-7575	65	36	and	and	CCONJ
fcis-7575	65	37	clinical	clinical	ADJ
fcis-7575	65	38	trials	trial	NOUN
fcis-7575	65	39	.	.	PUNCT
fcis-7575	66	1	2.4	2.4	NUM
fcis-7575	66	2	.	.	PUNCT
fcis-7575	66	3	designing	design	VERB
fcis-7575	66	4	de	de	X
fcis-7575	66	5	novo	novo	NOUN
fcis-7575	66	6	drugs	drug	NOUN
fcis-7575	66	7	using	use	VERB
fcis-7575	66	8	generative	generative	ADJ
fcis-7575	66	9	models	model	NOUN
fcis-7575	66	10	de	de	ADP
fcis-7575	66	11	novo	novo	PROPN
fcis-7575	66	12	drug	drug	NOUN
fcis-7575	66	13	design	design	NOUN
fcis-7575	66	14	using	use	VERB
fcis-7575	66	15	generative	generative	ADJ
fcis-7575	66	16	models	model	NOUN
fcis-7575	66	17	has	have	AUX
fcis-7575	66	18	become	become	VERB
fcis-7575	66	19	an	an	DET
fcis-7575	66	20	increasingly	increasingly	ADV
fcis-7575	66	21	popular	popular	ADJ
fcis-7575	66	22	application	application	NOUN
fcis-7575	66	23	of	of	ADP
fcis-7575	66	24	deep	deep	ADJ
fcis-7575	66	25	learning	learning	NOUN
fcis-7575	66	26	in	in	ADP
fcis-7575	66	27	drug	drug	NOUN
fcis-7575	66	28	discovery	discovery	NOUN
fcis-7575	66	29	.	.	PUNCT
fcis-7575	67	1	generative	generative	ADJ
fcis-7575	67	2	models	model	NOUN
fcis-7575	67	3	are	be	AUX
fcis-7575	67	4	a	a	DET
fcis-7575	67	5	type	type	NOUN
fcis-7575	67	6	of	of	ADP
fcis-7575	67	7	deep	deep	ADJ
fcis-7575	67	8	learning	learning	NOUN
fcis-7575	67	9	algorithm	algorithm	NOUN
fcis-7575	67	10	that	that	PRON
fcis-7575	67	11	can	can	AUX
fcis-7575	67	12	generate	generate	VERB
fcis-7575	67	13	new	new	ADJ
fcis-7575	67	14	compounds	compound	NOUN
fcis-7575	67	15	based	base	VERB
fcis-7575	67	16	on	on	ADP
fcis-7575	67	17	input	input	NOUN
fcis-7575	67	18	parameters	parameter	NOUN
fcis-7575	67	19	such	such	ADJ
fcis-7575	67	20	as	as	ADP
fcis-7575	67	21	desired	desire	VERB
fcis-7575	67	22	drug	drug	NOUN
fcis-7575	67	23	properties	property	NOUN
fcis-7575	67	24	or	or	CCONJ
fcis-7575	67	25	target	target	VERB
fcis-7575	67	26	protein	protein	NOUN
fcis-7575	67	27	structures	structure	NOUN
fcis-7575	67	28	.	.	PUNCT
fcis-7575	68	1	these	these	DET
fcis-7575	68	2	models	model	NOUN
fcis-7575	68	3	can	can	AUX
fcis-7575	68	4	be	be	AUX
fcis-7575	68	5	used	use	VERB
fcis-7575	68	6	to	to	PART
fcis-7575	68	7	design	design	VERB
fcis-7575	68	8	compounds	compound	NOUN
fcis-7575	68	9	with	with	ADP
fcis-7575	68	10	specific	specific	ADJ
fcis-7575	68	11	properties	property	NOUN
fcis-7575	68	12	,	,	PUNCT
fcis-7575	68	13	such	such	ADJ
fcis-7575	68	14	as	as	ADP
fcis-7575	68	15	high	high	ADJ
fcis-7575	68	16	binding	bind	VERB
fcis-7575	68	17	affinity	affinity	NOUN
fcis-7575	68	18	to	to	ADP
fcis-7575	68	19	a	a	DET
fcis-7575	68	20	target	target	NOUN
fcis-7575	68	21	protein	protein	NOUN
fcis-7575	68	22	or	or	CCONJ
fcis-7575	68	23	low	low	ADJ
fcis-7575	68	24	toxicity	toxicity	NOUN
fcis-7575	68	25	.	.	PUNCT
fcis-7575	69	1	120	120	NUM
fcis-7575	69	2	one	one	NUM
fcis-7575	69	3	example	example	NOUN
fcis-7575	69	4	of	of	ADP
fcis-7575	69	5	the	the	DET
fcis-7575	69	6	use	use	NOUN
fcis-7575	69	7	of	of	ADP
fcis-7575	69	8	generative	generative	ADJ
fcis-7575	69	9	models	model	NOUN
fcis-7575	69	10	in	in	ADP
fcis-7575	69	11	drug	drug	NOUN
fcis-7575	69	12	discovery	discovery	NOUN
fcis-7575	69	13	is	be	AUX
fcis-7575	69	14	the	the	DET
fcis-7575	69	15	work	work	NOUN
fcis-7575	69	16	of	of	ADP
fcis-7575	69	17	gómez	gómez	NOUN
fcis-7575	69	18	-	-	PUNCT
fcis-7575	69	19	bombarelli	bombarelli	NOUN
fcis-7575	69	20	et	et	PROPN
fcis-7575	69	21	al	al	PROPN
fcis-7575	69	22	.	.	PROPN
fcis-7575	70	1	(	(	PUNCT
fcis-7575	70	2	2018	2018	NUM
fcis-7575	70	3	)	)	PUNCT
fcis-7575	70	4	,	,	PUNCT
fcis-7575	70	5	who	who	PRON
fcis-7575	70	6	developed	develop	VERB
fcis-7575	70	7	a	a	DET
fcis-7575	70	8	generative	generative	ADJ
fcis-7575	70	9	model	model	NOUN
fcis-7575	70	10	called	call	VERB
fcis-7575	70	11	the	the	DET
fcis-7575	70	12	junction	junction	NOUN
fcis-7575	70	13	tree	tree	NOUN
fcis-7575	70	14	variational	variational	ADJ
fcis-7575	70	15	autoencoder	autoencoder	NOUN
fcis-7575	70	16	(	(	PUNCT
fcis-7575	70	17	jt	jt	PROPN
fcis-7575	70	18	-	-	PUNCT
fcis-7575	70	19	vae	vae	PROPN
fcis-7575	70	20	)	)	PUNCT
fcis-7575	70	21	to	to	PART
fcis-7575	70	22	design	design	VERB
fcis-7575	70	23	new	new	ADJ
fcis-7575	70	24	organic	organic	ADJ
fcis-7575	70	25	molecules	molecule	NOUN
fcis-7575	70	26	with	with	ADP
fcis-7575	70	27	specific	specific	ADJ
fcis-7575	70	28	properties	property	NOUN
fcis-7575	70	29	.	.	PUNCT
fcis-7575	71	1	jt	jt	PROPN
fcis-7575	71	2	-	-	PUNCT
fcis-7575	71	3	vae	vae	PROPN
fcis-7575	71	4	was	be	AUX
fcis-7575	71	5	trained	train	VERB
fcis-7575	71	6	on	on	ADP
fcis-7575	71	7	a	a	DET
fcis-7575	71	8	dataset	dataset	NOUN
fcis-7575	71	9	of	of	ADP
fcis-7575	71	10	over	over	ADP
fcis-7575	71	11	250,000	250,000	NUM
fcis-7575	71	12	organic	organic	ADJ
fcis-7575	71	13	molecules	molecule	NOUN
fcis-7575	71	14	and	and	CCONJ
fcis-7575	71	15	was	be	AUX
fcis-7575	71	16	able	able	ADJ
fcis-7575	71	17	to	to	PART
fcis-7575	71	18	generate	generate	VERB
fcis-7575	71	19	novel	novel	ADJ
fcis-7575	71	20	molecules	molecule	NOUN
fcis-7575	71	21	with	with	ADP
fcis-7575	71	22	specific	specific	ADJ
fcis-7575	71	23	properties	property	NOUN
fcis-7575	71	24	,	,	PUNCT
fcis-7575	71	25	such	such	ADJ
fcis-7575	71	26	as	as	ADP
fcis-7575	71	27	high	high	ADJ
fcis-7575	71	28	binding	bind	VERB
fcis-7575	71	29	affinity	affinity	NOUN
fcis-7575	71	30	to	to	ADP
fcis-7575	71	31	a	a	DET
fcis-7575	71	32	target	target	NOUN
fcis-7575	71	33	protein	protein	NOUN
fcis-7575	71	34	or	or	CCONJ
fcis-7575	71	35	high	high	ADJ
fcis-7575	71	36	solubility	solubility	NOUN
fcis-7575	71	37	.	.	PUNCT
fcis-7575	72	1	the	the	DET
fcis-7575	72	2	authors	author	NOUN
fcis-7575	72	3	demonstrated	demonstrate	VERB
fcis-7575	72	4	the	the	DET
fcis-7575	72	5	effectiveness	effectiveness	NOUN
fcis-7575	72	6	of	of	ADP
fcis-7575	72	7	their	their	PRON
fcis-7575	72	8	approach	approach	NOUN
fcis-7575	72	9	by	by	ADP
fcis-7575	72	10	designing	design	VERB
fcis-7575	72	11	a	a	DET
fcis-7575	72	12	new	new	ADJ
fcis-7575	72	13	compound	compound	NOUN
fcis-7575	72	14	with	with	ADP
fcis-7575	72	15	high	high	ADJ
fcis-7575	72	16	potency	potency	NOUN
fcis-7575	72	17	against	against	ADP
fcis-7575	72	18	an	an	DET
fcis-7575	72	19	enzyme	enzyme	NOUN
fcis-7575	72	20	target	target	NOUN
fcis-7575	72	21	and	and	CCONJ
fcis-7575	72	22	confirmed	confirm	VERB
fcis-7575	72	23	its	its	PRON
fcis-7575	72	24	activity	activity	NOUN
fcis-7575	72	25	through	through	ADP
fcis-7575	72	26	experimental	experimental	ADJ
fcis-7575	72	27	testing	testing	NOUN
fcis-7575	72	28	.	.	PUNCT
fcis-7575	73	1	another	another	DET
fcis-7575	73	2	example	example	NOUN
fcis-7575	73	3	is	be	AUX
fcis-7575	73	4	the	the	DET
fcis-7575	73	5	work	work	NOUN
fcis-7575	73	6	of	of	ADP
fcis-7575	73	7	olivecrona	olivecrona	PROPN
fcis-7575	73	8	et	et	PROPN
fcis-7575	73	9	al	al	PROPN
fcis-7575	73	10	.	.	PROPN
fcis-7575	74	1	(	(	PUNCT
fcis-7575	74	2	2017	2017	NUM
fcis-7575	74	3	)	)	PUNCT
fcis-7575	74	4	,	,	PUNCT
fcis-7575	74	5	who	who	PRON
fcis-7575	74	6	developed	develop	VERB
fcis-7575	74	7	a	a	DET
fcis-7575	74	8	generative	generative	ADJ
fcis-7575	74	9	model	model	NOUN
fcis-7575	74	10	called	call	VERB
fcis-7575	74	11	moleculenet	moleculenet	PROPN
fcis-7575	74	12	to	to	PART
fcis-7575	74	13	design	design	VERB
fcis-7575	74	14	new	new	ADJ
fcis-7575	74	15	compounds	compound	NOUN
fcis-7575	74	16	with	with	ADP
fcis-7575	74	17	specific	specific	ADJ
fcis-7575	74	18	properties	property	NOUN
fcis-7575	74	19	.	.	PUNCT
fcis-7575	75	1	moleculenet	moleculenet	PROPN
fcis-7575	75	2	was	be	AUX
fcis-7575	75	3	trained	train	VERB
fcis-7575	75	4	on	on	ADP
fcis-7575	75	5	a	a	DET
fcis-7575	75	6	dataset	dataset	NOUN
fcis-7575	75	7	of	of	ADP
fcis-7575	75	8	over	over	ADP
fcis-7575	75	9	200,000	200,000	NUM
fcis-7575	75	10	organic	organic	ADJ
fcis-7575	75	11	molecules	molecule	NOUN
fcis-7575	75	12	and	and	CCONJ
fcis-7575	75	13	was	be	AUX
fcis-7575	75	14	able	able	ADJ
fcis-7575	75	15	to	to	PART
fcis-7575	75	16	generate	generate	VERB
fcis-7575	75	17	novel	novel	ADJ
fcis-7575	75	18	molecules	molecule	NOUN
fcis-7575	75	19	with	with	ADP
fcis-7575	75	20	specific	specific	ADJ
fcis-7575	75	21	properties	property	NOUN
fcis-7575	75	22	,	,	PUNCT
fcis-7575	75	23	such	such	ADJ
fcis-7575	75	24	as	as	ADP
fcis-7575	75	25	high	high	ADJ
fcis-7575	75	26	binding	bind	VERB
fcis-7575	75	27	affinity	affinity	NOUN
fcis-7575	75	28	to	to	ADP
fcis-7575	75	29	a	a	DET
fcis-7575	75	30	target	target	NOUN
fcis-7575	75	31	protein	protein	NOUN
fcis-7575	75	32	or	or	CCONJ
fcis-7575	75	33	low	low	ADJ
fcis-7575	75	34	toxicity	toxicity	NOUN
fcis-7575	75	35	.	.	PUNCT
fcis-7575	76	1	the	the	DET
fcis-7575	76	2	authors	author	NOUN
fcis-7575	76	3	demonstrated	demonstrate	VERB
fcis-7575	76	4	the	the	DET
fcis-7575	76	5	effectiveness	effectiveness	NOUN
fcis-7575	76	6	of	of	ADP
fcis-7575	76	7	their	their	PRON
fcis-7575	76	8	approach	approach	NOUN
fcis-7575	76	9	by	by	ADP
fcis-7575	76	10	designing	design	VERB
fcis-7575	76	11	a	a	DET
fcis-7575	76	12	new	new	ADJ
fcis-7575	76	13	compound	compound	NOUN
fcis-7575	76	14	with	with	ADP
fcis-7575	76	15	high	high	ADJ
fcis-7575	76	16	potency	potency	NOUN
fcis-7575	76	17	against	against	ADP
fcis-7575	76	18	a	a	DET
fcis-7575	76	19	kinase	kinase	PROPN
fcis-7575	76	20	target	target	NOUN
fcis-7575	76	21	and	and	CCONJ
fcis-7575	76	22	confirmed	confirm	VERB
fcis-7575	76	23	its	its	PRON
fcis-7575	76	24	activity	activity	NOUN
fcis-7575	76	25	through	through	ADP
fcis-7575	76	26	experimental	experimental	ADJ
fcis-7575	76	27	testing	testing	NOUN
fcis-7575	76	28	.	.	PUNCT
fcis-7575	77	1	other	other	ADJ
fcis-7575	77	2	recent	recent	ADJ
fcis-7575	77	3	algorithms	algorithm	NOUN
fcis-7575	77	4	for	for	ADP
fcis-7575	77	5	de	de	X
fcis-7575	77	6	novo	novo	PROPN
fcis-7575	77	7	drug	drug	NOUN
fcis-7575	77	8	design	design	NOUN
fcis-7575	77	9	using	use	VERB
fcis-7575	77	10	generative	generative	ADJ
fcis-7575	77	11	models	model	NOUN
fcis-7575	77	12	include	include	VERB
fcis-7575	77	13	:	:	PUNCT
fcis-7575	77	14	retrobiocat	retrobiocat	NOUN
fcis-7575	77	15	,	,	PUNCT
fcis-7575	77	16	developed	develop	VERB
fcis-7575	77	17	by	by	ADP
fcis-7575	77	18	segler	segler	NOUN
fcis-7575	77	19	et	et	PROPN
fcis-7575	77	20	al	al	PROPN
fcis-7575	77	21	.	.	PROPN
fcis-7575	77	22	,	,	PUNCT
fcis-7575	77	23	which	which	PRON
fcis-7575	77	24	uses	use	VERB
fcis-7575	77	25	retrosynthesis	retrosynthesis	NOUN
fcis-7575	77	26	to	to	PART
fcis-7575	77	27	design	design	VERB
fcis-7575	77	28	new	new	ADJ
fcis-7575	77	29	compounds	compound	NOUN
fcis-7575	77	30	with	with	ADP
fcis-7575	77	31	desired	desire	VERB
fcis-7575	77	32	properties	property	NOUN
fcis-7575	77	33	.	.	PUNCT
fcis-7575	78	1	the	the	DET
fcis-7575	78	2	algorithm	algorithm	NOUN
fcis-7575	78	3	generates	generate	VERB
fcis-7575	78	4	molecular	molecular	ADJ
fcis-7575	78	5	fragments	fragment	NOUN
fcis-7575	78	6	based	base	VERB
fcis-7575	78	7	on	on	ADP
fcis-7575	78	8	the	the	DET
fcis-7575	78	9	desired	desire	VERB
fcis-7575	78	10	properties	property	NOUN
fcis-7575	78	11	and	and	CCONJ
fcis-7575	78	12	then	then	ADV
fcis-7575	78	13	combines	combine	VERB
fcis-7575	78	14	them	they	PRON
fcis-7575	78	15	into	into	ADP
fcis-7575	78	16	complete	complete	ADJ
fcis-7575	78	17	molecules	molecule	NOUN
fcis-7575	78	18	.	.	PUNCT
fcis-7575	79	1	gentrl	gentrl	PROPN
fcis-7575	79	2	(	(	PUNCT
fcis-7575	79	3	generative	generative	ADJ
fcis-7575	79	4	tensorial	tensorial	ADJ
fcis-7575	79	5	reinforcement	reinforcement	NOUN
fcis-7575	79	6	learning	learning	NOUN
fcis-7575	79	7	)	)	PUNCT
fcis-7575	79	8	,	,	PUNCT
fcis-7575	79	9	developed	develop	VERB
fcis-7575	79	10	by	by	ADP
fcis-7575	79	11	liu	liu	PROPN
fcis-7575	79	12	et	et	PROPN
fcis-7575	79	13	al	al	PROPN
fcis-7575	79	14	.	.	PROPN
fcis-7575	79	15	,	,	PUNCT
fcis-7575	79	16	which	which	PRON
fcis-7575	79	17	uses	use	VERB
fcis-7575	79	18	reinforcement	reinforcement	NOUN
fcis-7575	79	19	learning	learning	NOUN
fcis-7575	79	20	to	to	PART
fcis-7575	79	21	design	design	VERB
fcis-7575	79	22	novel	novel	ADJ
fcis-7575	79	23	molecules	molecule	NOUN
fcis-7575	79	24	with	with	ADP
fcis-7575	79	25	desired	desire	VERB
fcis-7575	79	26	properties	property	NOUN
fcis-7575	79	27	.	.	PUNCT
fcis-7575	80	1	the	the	DET
fcis-7575	80	2	algorithm	algorithm	NOUN
fcis-7575	80	3	generates	generate	VERB
fcis-7575	80	4	new	new	ADJ
fcis-7575	80	5	molecules	molecule	NOUN
fcis-7575	80	6	by	by	ADP
fcis-7575	80	7	sampling	sample	VERB
fcis-7575	80	8	from	from	ADP
fcis-7575	80	9	a	a	DET
fcis-7575	80	10	distribution	distribution	NOUN
fcis-7575	80	11	and	and	CCONJ
fcis-7575	80	12	then	then	ADV
fcis-7575	80	13	evaluates	evaluate	VERB
fcis-7575	80	14	their	their	PRON
fcis-7575	80	15	fitness	fitness	NOUN
fcis-7575	80	16	based	base	VERB
fcis-7575	80	17	on	on	ADP
fcis-7575	80	18	their	their	PRON
fcis-7575	80	19	predicted	predict	VERB
fcis-7575	80	20	properties	property	NOUN
fcis-7575	80	21	.	.	PUNCT
fcis-7575	81	1	moldqn	moldqn	NOUN
fcis-7575	81	2	,	,	PUNCT
fcis-7575	81	3	developed	develop	VERB
fcis-7575	81	4	by	by	ADP
fcis-7575	81	5	zhou	zhou	PROPN
fcis-7575	81	6	et	et	PROPN
fcis-7575	81	7	al	al	PROPN
fcis-7575	81	8	.	.	PROPN
fcis-7575	81	9	,	,	PUNCT
fcis-7575	81	10	which	which	PRON
fcis-7575	81	11	uses	use	VERB
fcis-7575	81	12	deep	deep	ADJ
fcis-7575	81	13	q	q	NOUN
fcis-7575	81	14	-	-	PUNCT
fcis-7575	81	15	learning	learning	NOUN
fcis-7575	81	16	to	to	PART
fcis-7575	81	17	design	design	VERB
fcis-7575	81	18	new	new	ADJ
fcis-7575	81	19	compounds	compound	NOUN
fcis-7575	81	20	with	with	ADP
fcis-7575	81	21	desired	desire	VERB
fcis-7575	81	22	properties	property	NOUN
fcis-7575	81	23	.	.	PUNCT
fcis-7575	82	1	the	the	DET
fcis-7575	82	2	algorithm	algorithm	NOUN
fcis-7575	82	3	learns	learn	VERB
fcis-7575	82	4	to	to	PART
fcis-7575	82	5	optimize	optimize	VERB
fcis-7575	82	6	the	the	DET
fcis-7575	82	7	properties	property	NOUN
fcis-7575	82	8	of	of	ADP
fcis-7575	82	9	the	the	DET
fcis-7575	82	10	generated	generate	VERB
fcis-7575	82	11	molecules	molecule	NOUN
fcis-7575	82	12	through	through	ADP
fcis-7575	82	13	trial	trial	NOUN
fcis-7575	82	14	-	-	PUNCT
fcis-7575	82	15	and	and	CCONJ
fcis-7575	82	16	-	-	PUNCT
fcis-7575	82	17	error	error	NOUN
fcis-7575	82	18	interactions	interaction	NOUN
fcis-7575	82	19	with	with	ADP
fcis-7575	82	20	the	the	DET
fcis-7575	82	21	environment	environment	NOUN
fcis-7575	82	22	.	.	PUNCT
fcis-7575	83	1	mol	mol	NOUN
fcis-7575	83	2	-	-	PUNCT
fcis-7575	83	3	cyclegan	cyclegan	NOUN
fcis-7575	83	4	,	,	PUNCT
fcis-7575	83	5	developed	develop	VERB
fcis-7575	83	6	by	by	ADP
fcis-7575	83	7	zhavoronkov	zhavoronkov	PROPN
fcis-7575	83	8	et	et	PROPN
fcis-7575	83	9	al	al	PROPN
fcis-7575	83	10	.	.	PROPN
fcis-7575	83	11	,	,	PUNCT
fcis-7575	83	12	which	which	PRON
fcis-7575	83	13	uses	use	VERB
fcis-7575	83	14	a	a	DET
fcis-7575	83	15	cycle	cycle	NOUN
fcis-7575	83	16	-	-	PUNCT
fcis-7575	83	17	consistent	consistent	ADJ
fcis-7575	83	18	adversarial	adversarial	ADJ
fcis-7575	83	19	network	network	NOUN
fcis-7575	83	20	to	to	PART
fcis-7575	83	21	generate	generate	VERB
fcis-7575	83	22	novel	novel	ADJ
fcis-7575	83	23	compounds	compound	NOUN
fcis-7575	83	24	with	with	ADP
fcis-7575	83	25	specific	specific	ADJ
fcis-7575	83	26	properties	property	NOUN
fcis-7575	83	27	.	.	PUNCT
fcis-7575	84	1	the	the	DET
fcis-7575	84	2	algorithm	algorithm	NOUN
fcis-7575	84	3	learns	learn	VERB
fcis-7575	84	4	to	to	PART
fcis-7575	84	5	map	map	VERB
fcis-7575	84	6	molecules	molecule	NOUN
fcis-7575	84	7	from	from	ADP
fcis-7575	84	8	one	one	NUM
fcis-7575	84	9	distribution	distribution	NOUN
fcis-7575	84	10	to	to	ADP
fcis-7575	84	11	another	another	PRON
fcis-7575	84	12	while	while	SCONJ
fcis-7575	84	13	preserving	preserve	VERB
fcis-7575	84	14	their	their	PRON
fcis-7575	84	15	properties	property	NOUN
fcis-7575	84	16	.	.	PUNCT
fcis-7575	85	1	reinforced	reinforce	VERB
fcis-7575	85	2	adversarial	adversarial	ADJ
fcis-7575	85	3	neural	neural	ADJ
fcis-7575	85	4	computer	computer	NOUN
fcis-7575	85	5	for	for	ADP
fcis-7575	85	6	de	de	X
fcis-7575	85	7	novo	novo	PROPN
fcis-7575	85	8	molecular	molecular	ADJ
fcis-7575	85	9	design	design	NOUN
fcis-7575	85	10	,	,	PUNCT
fcis-7575	85	11	developed	develop	VERB
fcis-7575	85	12	by	by	ADP
fcis-7575	85	13	li	li	PROPN
fcis-7575	85	14	et	et	PROPN
fcis-7575	85	15	al	al	PROPN
fcis-7575	85	16	.	.	PROPN
fcis-7575	85	17	,	,	PUNCT
fcis-7575	85	18	which	which	PRON
fcis-7575	85	19	combines	combine	VERB
fcis-7575	85	20	reinforcement	reinforcement	NOUN
fcis-7575	85	21	learning	learning	NOUN
fcis-7575	85	22	and	and	CCONJ
fcis-7575	85	23	generative	generative	ADJ
fcis-7575	85	24	models	model	NOUN
fcis-7575	85	25	to	to	PART
fcis-7575	85	26	design	design	VERB
fcis-7575	85	27	novel	novel	ADJ
fcis-7575	85	28	molecules	molecule	NOUN
fcis-7575	85	29	.	.	PUNCT
fcis-7575	86	1	the	the	DET
fcis-7575	86	2	algorithm	algorithm	NOUN
fcis-7575	86	3	generates	generate	VERB
fcis-7575	86	4	new	new	ADJ
fcis-7575	86	5	molecules	molecule	NOUN
fcis-7575	86	6	and	and	CCONJ
fcis-7575	86	7	then	then	ADV
fcis-7575	86	8	evaluates	evaluate	VERB
fcis-7575	86	9	their	their	PRON
fcis-7575	86	10	fitness	fitness	NOUN
fcis-7575	86	11	based	base	VERB
fcis-7575	86	12	on	on	ADP
fcis-7575	86	13	their	their	PRON
fcis-7575	86	14	predicted	predict	VERB
fcis-7575	86	15	properties	property	NOUN
fcis-7575	86	16	,	,	PUNCT
fcis-7575	86	17	using	use	VERB
fcis-7575	86	18	reinforcement	reinforcement	NOUN
fcis-7575	86	19	learning	learning	NOUN
fcis-7575	86	20	to	to	PART
fcis-7575	86	21	improve	improve	VERB
fcis-7575	86	22	the	the	DET
fcis-7575	86	23	generation	generation	NOUN
fcis-7575	86	24	process	process	NOUN
fcis-7575	86	25	.	.	PUNCT
fcis-7575	87	1	one	one	NUM
fcis-7575	87	2	-	-	PUNCT
fcis-7575	87	3	shot	shot	NOUN
fcis-7575	87	4	ensemble	ensemble	ADJ
fcis-7575	87	5	learning	learning	NOUN
fcis-7575	87	6	of	of	ADP
fcis-7575	87	7	deep	deep	ADJ
fcis-7575	87	8	generative	generative	ADJ
fcis-7575	87	9	models	model	NOUN
fcis-7575	87	10	for	for	ADP
fcis-7575	87	11	de	de	X
fcis-7575	87	12	novo	novo	PROPN
fcis-7575	87	13	drug	drug	NOUN
fcis-7575	87	14	design	design	NOUN
fcis-7575	87	15	,	,	PUNCT
fcis-7575	87	16	developed	develop	VERB
fcis-7575	87	17	by	by	ADP
fcis-7575	87	18	ma	ma	PROPN
fcis-7575	87	19	et	et	PROPN
fcis-7575	87	20	al	al	PROPN
fcis-7575	87	21	.	.	PROPN
fcis-7575	87	22	(	(	PUNCT
fcis-7575	87	23	2021	2021	NUM
fcis-7575	87	24	)	)	PUNCT
fcis-7575	87	25	,	,	PUNCT
fcis-7575	87	26	which	which	PRON
fcis-7575	87	27	uses	use	VERB
fcis-7575	87	28	ensemble	ensemble	ADJ
fcis-7575	87	29	learning	learning	NOUN
fcis-7575	87	30	to	to	PART
fcis-7575	87	31	generate	generate	VERB
fcis-7575	87	32	diverse	diverse	ADJ
fcis-7575	87	33	and	and	CCONJ
fcis-7575	87	34	novel	novel	ADJ
fcis-7575	87	35	molecules	molecule	NOUN
fcis-7575	87	36	with	with	ADP
fcis-7575	87	37	desired	desire	VERB
fcis-7575	87	38	properties	property	NOUN
fcis-7575	87	39	.	.	PUNCT
fcis-7575	88	1	the	the	DET
fcis-7575	88	2	algorithm	algorithm	NOUN
fcis-7575	88	3	trains	train	VERB
fcis-7575	88	4	multiple	multiple	ADJ
fcis-7575	88	5	generative	generative	ADJ
fcis-7575	88	6	models	model	NOUN
fcis-7575	88	7	with	with	ADP
fcis-7575	88	8	different	different	ADJ
fcis-7575	88	9	architectures	architecture	NOUN
fcis-7575	88	10	and	and	CCONJ
fcis-7575	88	11	combines	combine	VERB
fcis-7575	88	12	their	their	PRON
fcis-7575	88	13	outputs	output	NOUN
fcis-7575	88	14	to	to	PART
fcis-7575	88	15	generate	generate	VERB
fcis-7575	88	16	diverse	diverse	ADJ
fcis-7575	88	17	and	and	CCONJ
fcis-7575	88	18	novel	novel	ADJ
fcis-7575	88	19	molecules	molecule	NOUN
fcis-7575	88	20	.	.	PUNCT
fcis-7575	89	1	these	these	DET
fcis-7575	89	2	algorithms	algorithm	NOUN
fcis-7575	89	3	aim	aim	VERB
fcis-7575	89	4	to	to	PART
fcis-7575	89	5	overcome	overcome	VERB
fcis-7575	89	6	some	some	PRON
fcis-7575	89	7	of	of	ADP
fcis-7575	89	8	the	the	DET
fcis-7575	89	9	limitations	limitation	NOUN
fcis-7575	89	10	of	of	ADP
fcis-7575	89	11	previous	previous	ADJ
fcis-7575	89	12	approaches	approach	NOUN
fcis-7575	89	13	,	,	PUNCT
fcis-7575	89	14	such	such	ADJ
fcis-7575	89	15	as	as	ADP
fcis-7575	89	16	the	the	DET
fcis-7575	89	17	difficulty	difficulty	NOUN
fcis-7575	89	18	in	in	ADP
fcis-7575	89	19	generating	generate	VERB
fcis-7575	89	20	diverse	diverse	ADJ
fcis-7575	89	21	and	and	CCONJ
fcis-7575	89	22	novel	novel	ADJ
fcis-7575	89	23	compounds	compound	NOUN
fcis-7575	89	24	,	,	PUNCT
fcis-7575	89	25	by	by	ADP
fcis-7575	89	26	using	use	VERB
fcis-7575	89	27	advanced	advanced	ADJ
fcis-7575	89	28	techniques	technique	NOUN
fcis-7575	89	29	such	such	ADJ
fcis-7575	89	30	as	as	ADP
fcis-7575	89	31	retrosynthesis	retrosynthesis	NOUN
fcis-7575	89	32	,	,	PUNCT
fcis-7575	89	33	reinforcement	reinforcement	NOUN
fcis-7575	89	34	learning	learning	NOUN
fcis-7575	89	35	,	,	PUNCT
fcis-7575	89	36	adversarial	adversarial	ADJ
fcis-7575	89	37	training	training	NOUN
fcis-7575	89	38	,	,	PUNCT
fcis-7575	89	39	and	and	CCONJ
fcis-7575	89	40	ensemble	ensemble	ADJ
fcis-7575	89	41	learning	learning	NOUN
fcis-7575	89	42	.	.	PUNCT
fcis-7575	90	1	while	while	SCONJ
fcis-7575	90	2	still	still	ADV
fcis-7575	90	3	in	in	ADP
fcis-7575	90	4	the	the	DET
fcis-7575	90	5	early	early	ADJ
fcis-7575	90	6	stages	stage	NOUN
fcis-7575	90	7	of	of	ADP
fcis-7575	90	8	development	development	NOUN
fcis-7575	90	9	,	,	PUNCT
fcis-7575	90	10	these	these	DET
fcis-7575	90	11	algorithms	algorithm	NOUN
fcis-7575	90	12	show	show	VERB
fcis-7575	90	13	great	great	ADJ
fcis-7575	90	14	promise	promise	NOUN
fcis-7575	90	15	in	in	ADP
fcis-7575	90	16	accelerating	accelerate	VERB
fcis-7575	90	17	the	the	DET
fcis-7575	90	18	drug	drug	NOUN
fcis-7575	90	19	discovery	discovery	NOUN
fcis-7575	90	20	process	process	NOUN
fcis-7575	90	21	and	and	CCONJ
fcis-7575	90	22	potentially	potentially	ADV
fcis-7575	90	23	leading	lead	VERB
fcis-7575	90	24	to	to	ADP
fcis-7575	90	25	the	the	DET
fcis-7575	90	26	development	development	NOUN
fcis-7575	90	27	of	of	ADP
fcis-7575	90	28	new	new	ADJ
fcis-7575	90	29	drugs	drug	NOUN
fcis-7575	90	30	that	that	PRON
fcis-7575	90	31	were	be	AUX
fcis-7575	90	32	previously	previously	ADV
fcis-7575	90	33	not	not	PART
fcis-7575	90	34	possible	possible	ADJ
fcis-7575	90	35	.	.	PUNCT
fcis-7575	91	1	3	3	X
fcis-7575	91	2	.	.	X
fcis-7575	91	3	the	the	DET
fcis-7575	91	4	potential	potential	ADJ
fcis-7575	91	5	benefits	benefit	NOUN
fcis-7575	91	6	of	of	ADP
fcis-7575	91	7	using	use	VERB
fcis-7575	91	8	deep	deep	ADJ
fcis-7575	91	9	learning	learning	NOUN
fcis-7575	91	10	in	in	ADP
fcis-7575	91	11	drug	drug	NOUN
fcis-7575	91	12	discovery	discovery	NOUN
fcis-7575	91	13	deep	deep	ADJ
fcis-7575	91	14	learning	learning	NOUN
fcis-7575	91	15	algorithms	algorithm	NOUN
fcis-7575	91	16	are	be	AUX
fcis-7575	91	17	a	a	DET
fcis-7575	91	18	type	type	NOUN
fcis-7575	91	19	of	of	ADP
fcis-7575	91	20	artificial	artificial	ADJ
fcis-7575	91	21	neural	neural	ADJ
fcis-7575	91	22	network	network	NOUN
fcis-7575	91	23	designed	design	VERB
fcis-7575	91	24	to	to	PART
fcis-7575	91	25	learn	learn	VERB
fcis-7575	91	26	and	and	CCONJ
fcis-7575	91	27	improve	improve	VERB
fcis-7575	91	28	from	from	ADP
fcis-7575	91	29	experience	experience	NOUN
fcis-7575	91	30	,	,	PUNCT
fcis-7575	91	31	similar	similar	ADJ
fcis-7575	91	32	to	to	ADP
fcis-7575	91	33	the	the	DET
fcis-7575	91	34	way	way	NOUN
fcis-7575	91	35	the	the	DET
fcis-7575	91	36	human	human	ADJ
fcis-7575	91	37	brain	brain	NOUN
fcis-7575	91	38	functions	function	NOUN
fcis-7575	91	39	.	.	PUNCT
fcis-7575	92	1	these	these	DET
fcis-7575	92	2	algorithms	algorithm	NOUN
fcis-7575	92	3	can	can	AUX
fcis-7575	92	4	handle	handle	VERB
fcis-7575	92	5	large	large	ADJ
fcis-7575	92	6	,	,	PUNCT
fcis-7575	92	7	complex	complex	ADJ
fcis-7575	92	8	datasets	dataset	NOUN
fcis-7575	92	9	by	by	ADP
fcis-7575	92	10	processing	process	VERB
fcis-7575	92	11	vast	vast	ADJ
fcis-7575	92	12	amounts	amount	NOUN
fcis-7575	92	13	of	of	ADP
fcis-7575	92	14	data	datum	NOUN
fcis-7575	92	15	from	from	ADP
fcis-7575	92	16	various	various	ADJ
fcis-7575	92	17	sources	source	NOUN
fcis-7575	92	18	,	,	PUNCT
fcis-7575	92	19	such	such	ADJ
fcis-7575	92	20	as	as	ADP
fcis-7575	92	21	clinical	clinical	ADJ
fcis-7575	92	22	trial	trial	NOUN
fcis-7575	92	23	results	result	NOUN
fcis-7575	92	24	,	,	PUNCT
fcis-7575	92	25	genetic	genetic	ADJ
fcis-7575	92	26	information	information	NOUN
fcis-7575	92	27	,	,	PUNCT
fcis-7575	92	28	and	and	CCONJ
fcis-7575	92	29	chemical	chemical	NOUN
fcis-7575	92	30	structure	structure	NOUN
fcis-7575	92	31	data	datum	NOUN
fcis-7575	92	32	.	.	PUNCT
fcis-7575	93	1	they	they	PRON
fcis-7575	93	2	can	can	AUX
fcis-7575	93	3	identify	identify	VERB
fcis-7575	93	4	patterns	pattern	NOUN
fcis-7575	93	5	and	and	CCONJ
fcis-7575	93	6	relationships	relationship	NOUN
fcis-7575	93	7	that	that	PRON
fcis-7575	93	8	would	would	AUX
fcis-7575	93	9	be	be	AUX
fcis-7575	93	10	difficult	difficult	ADJ
fcis-7575	93	11	or	or	CCONJ
fcis-7575	93	12	impossible	impossible	ADJ
fcis-7575	93	13	for	for	SCONJ
fcis-7575	93	14	human	human	ADJ
fcis-7575	93	15	researchers	researcher	NOUN
fcis-7575	93	16	to	to	PART
fcis-7575	93	17	detect	detect	VERB
fcis-7575	93	18	.	.	PUNCT
fcis-7575	94	1	atomnet	atomnet	PROPN
fcis-7575	94	2	is	be	AUX
fcis-7575	94	3	a	a	DET
fcis-7575	94	4	successful	successful	ADJ
fcis-7575	94	5	application	application	NOUN
fcis-7575	94	6	of	of	ADP
fcis-7575	94	7	deep	deep	ADJ
fcis-7575	94	8	learning	learning	NOUN
fcis-7575	94	9	in	in	ADP
fcis-7575	94	10	drug	drug	NOUN
fcis-7575	94	11	discovery	discovery	NOUN
fcis-7575	94	12	,	,	PUNCT
fcis-7575	94	13	which	which	PRON
fcis-7575	94	14	has	have	AUX
fcis-7575	94	15	been	be	AUX
fcis-7575	94	16	used	use	VERB
fcis-7575	94	17	to	to	PART
fcis-7575	94	18	predict	predict	VERB
fcis-7575	94	19	the	the	DET
fcis-7575	94	20	activity	activity	NOUN
fcis-7575	94	21	of	of	ADP
fcis-7575	94	22	potential	potential	ADJ
fcis-7575	94	23	drug	drug	NOUN
fcis-7575	94	24	molecules	molecule	NOUN
fcis-7575	94	25	by	by	ADP
fcis-7575	94	26	analyzing	analyze	VERB
fcis-7575	94	27	their	their	PRON
fcis-7575	94	28	chemical	chemical	NOUN
fcis-7575	94	29	structure	structure	NOUN
fcis-7575	94	30	.	.	PUNCT
fcis-7575	95	1	a	a	DET
fcis-7575	95	2	study	study	NOUN
fcis-7575	95	3	published	publish	VERB
fcis-7575	95	4	in	in	ADP
fcis-7575	95	5	the	the	DET
fcis-7575	95	6	journal	journal	NOUN
fcis-7575	95	7	nature	nature	NOUN
fcis-7575	95	8	in	in	ADP
fcis-7575	95	9	2016	2016	NUM
fcis-7575	95	10	reported	report	VERB
fcis-7575	95	11	that	that	SCONJ
fcis-7575	95	12	researchers	researcher	NOUN
fcis-7575	95	13	used	use	VERB
fcis-7575	95	14	atomnet	atomnet	NOUN
fcis-7575	95	15	to	to	PART
fcis-7575	95	16	predict	predict	VERB
fcis-7575	95	17	the	the	DET
fcis-7575	95	18	activity	activity	NOUN
fcis-7575	95	19	of	of	ADP
fcis-7575	95	20	47	47	NUM
fcis-7575	95	21	different	different	ADJ
fcis-7575	95	22	enzymes	enzyme	NOUN
fcis-7575	95	23	with	with	ADP
fcis-7575	95	24	an	an	DET
fcis-7575	95	25	accuracy	accuracy	NOUN
fcis-7575	95	26	of	of	ADP
fcis-7575	95	27	92	92	NUM
fcis-7575	95	28	%	%	NOUN
fcis-7575	95	29	.	.	PUNCT
fcis-7575	96	1	this	this	DET
fcis-7575	96	2	type	type	NOUN
fcis-7575	96	3	of	of	ADP
fcis-7575	96	4	prediction	prediction	NOUN
fcis-7575	96	5	can	can	AUX
fcis-7575	96	6	be	be	AUX
fcis-7575	96	7	used	use	VERB
fcis-7575	96	8	to	to	PART
fcis-7575	96	9	identify	identify	VERB
fcis-7575	96	10	potential	potential	ADJ
fcis-7575	96	11	drug	drug	NOUN
fcis-7575	96	12	candidates	candidate	NOUN
fcis-7575	96	13	and	and	CCONJ
fcis-7575	96	14	accelerate	accelerate	VERB
fcis-7575	96	15	the	the	DET
fcis-7575	96	16	drug	drug	NOUN
fcis-7575	96	17	discovery	discovery	NOUN
fcis-7575	96	18	process	process	NOUN
fcis-7575	96	19	.	.	PUNCT
fcis-7575	97	1	deep	deep	ADJ
fcis-7575	97	2	learning	learning	NOUN
fcis-7575	97	3	has	have	AUX
fcis-7575	97	4	also	also	ADV
fcis-7575	97	5	been	be	AUX
fcis-7575	97	6	used	use	VERB
fcis-7575	97	7	to	to	PART
fcis-7575	97	8	analyze	analyze	VERB
fcis-7575	97	9	gene	gene	NOUN
fcis-7575	97	10	expression	expression	NOUN
fcis-7575	97	11	data	datum	NOUN
fcis-7575	97	12	from	from	ADP
fcis-7575	97	13	cancer	cancer	NOUN
fcis-7575	97	14	patients	patient	NOUN
fcis-7575	97	15	,	,	PUNCT
fcis-7575	97	16	where	where	SCONJ
fcis-7575	97	17	large	large	ADJ
fcis-7575	97	18	datasets	dataset	NOUN
fcis-7575	97	19	can	can	AUX
fcis-7575	97	20	be	be	AUX
fcis-7575	97	21	analyzed	analyze	VERB
fcis-7575	97	22	to	to	PART
fcis-7575	97	23	identify	identify	VERB
fcis-7575	97	24	patterns	pattern	NOUN
fcis-7575	97	25	indicative	indicative	ADJ
fcis-7575	97	26	of	of	ADP
fcis-7575	97	27	specific	specific	ADJ
fcis-7575	97	28	cancer	cancer	NOUN
fcis-7575	97	29	subtypes	subtype	NOUN
fcis-7575	97	30	.	.	PUNCT
fcis-7575	98	1	in	in	ADP
fcis-7575	98	2	a	a	DET
fcis-7575	98	3	study	study	NOUN
fcis-7575	98	4	published	publish	VERB
fcis-7575	98	5	in	in	ADP
fcis-7575	98	6	the	the	DET
fcis-7575	98	7	journal	journal	NOUN
fcis-7575	98	8	nature	nature	NOUN
fcis-7575	98	9	in	in	ADP
fcis-7575	98	10	2018	2018	NUM
fcis-7575	98	11	,	,	PUNCT
fcis-7575	98	12	researchers	researcher	NOUN
fcis-7575	98	13	used	use	VERB
fcis-7575	98	14	deep	deep	ADJ
fcis-7575	98	15	learning	learning	NOUN
fcis-7575	98	16	to	to	PART
fcis-7575	98	17	identify	identify	VERB
fcis-7575	98	18	specific	specific	ADJ
fcis-7575	98	19	gene	gene	NOUN
fcis-7575	98	20	expression	expression	NOUN
fcis-7575	98	21	patterns	pattern	NOUN
fcis-7575	98	22	predictive	predictive	ADJ
fcis-7575	98	23	of	of	ADP
fcis-7575	98	24	the	the	DET
fcis-7575	98	25	response	response	NOUN
fcis-7575	98	26	to	to	ADP
fcis-7575	98	27	immunotherapy	immunotherapy	NOUN
fcis-7575	98	28	in	in	ADP
fcis-7575	98	29	melanoma	melanoma	NOUN
fcis-7575	98	30	patients	patient	NOUN
fcis-7575	98	31	.	.	PUNCT
fcis-7575	99	1	the	the	DET
fcis-7575	99	2	benefits	benefit	NOUN
fcis-7575	99	3	of	of	ADP
fcis-7575	99	4	using	use	VERB
fcis-7575	99	5	deep	deep	ADJ
fcis-7575	99	6	learning	learning	NOUN
fcis-7575	99	7	over	over	ADP
fcis-7575	99	8	traditional	traditional	ADJ
fcis-7575	99	9	methods	method	NOUN
fcis-7575	99	10	in	in	ADP
fcis-7575	99	11	handling	handle	VERB
fcis-7575	99	12	complex	complex	ADJ
fcis-7575	99	13	data	datum	NOUN
fcis-7575	99	14	sets	set	NOUN
fcis-7575	99	15	are	be	AUX
fcis-7575	99	16	numerous	numerous	ADJ
fcis-7575	99	17	.	.	PUNCT
fcis-7575	100	1	deep	deep	ADJ
fcis-7575	100	2	learning	learning	NOUN
fcis-7575	100	3	algorithms	algorithm	NOUN
fcis-7575	100	4	can	can	AUX
fcis-7575	100	5	process	process	VERB
fcis-7575	100	6	large	large	ADJ
fcis-7575	100	7	amounts	amount	NOUN
fcis-7575	100	8	of	of	ADP
fcis-7575	100	9	data	datum	NOUN
fcis-7575	100	10	in	in	ADP
fcis-7575	100	11	a	a	DET
fcis-7575	100	12	relatively	relatively	ADV
fcis-7575	100	13	short	short	ADJ
fcis-7575	100	14	amount	amount	NOUN
fcis-7575	100	15	of	of	ADP
fcis-7575	100	16	time	time	NOUN
fcis-7575	100	17	and	and	CCONJ
fcis-7575	100	18	identify	identify	VERB
fcis-7575	100	19	patterns	pattern	NOUN
fcis-7575	100	20	and	and	CCONJ
fcis-7575	100	21	relationships	relationship	NOUN
fcis-7575	100	22	that	that	PRON
fcis-7575	100	23	may	may	AUX
fcis-7575	100	24	not	not	PART
fcis-7575	100	25	be	be	AUX
fcis-7575	100	26	apparent	apparent	ADJ
fcis-7575	100	27	to	to	ADP
fcis-7575	100	28	human	human	ADJ
fcis-7575	100	29	researchers	researcher	NOUN
fcis-7575	100	30	.	.	PUNCT
fcis-7575	101	1	furthermore	furthermore	ADV
fcis-7575	101	2	,	,	PUNCT
fcis-7575	101	3	deep	deep	ADJ
fcis-7575	101	4	learning	learning	NOUN
fcis-7575	101	5	algorithms	algorithm	NOUN
fcis-7575	101	6	can	can	AUX
fcis-7575	101	7	adapt	adapt	VERB
fcis-7575	101	8	and	and	CCONJ
fcis-7575	101	9	learn	learn	VERB
fcis-7575	101	10	from	from	ADP
fcis-7575	101	11	new	new	ADJ
fcis-7575	101	12	data	datum	NOUN
fcis-7575	101	13	,	,	PUNCT
fcis-7575	101	14	improving	improve	VERB
fcis-7575	101	15	their	their	PRON
fcis-7575	101	16	accuracy	accuracy	NOUN
fcis-7575	101	17	over	over	ADP
fcis-7575	101	18	time	time	NOUN
fcis-7575	101	19	.	.	PUNCT
fcis-7575	102	1	additionally	additionally	ADV
fcis-7575	102	2	,	,	PUNCT
fcis-7575	102	3	deep	deep	ADJ
fcis-7575	102	4	learning	learning	NOUN
fcis-7575	102	5	algorithms	algorithm	NOUN
fcis-7575	102	6	can	can	AUX
fcis-7575	102	7	be	be	AUX
fcis-7575	102	8	used	use	VERB
fcis-7575	102	9	to	to	PART
fcis-7575	102	10	design	design	VERB
fcis-7575	102	11	entirely	entirely	ADV
fcis-7575	102	12	new	new	ADJ
fcis-7575	102	13	molecules	molecule	NOUN
fcis-7575	102	14	with	with	ADP
fcis-7575	102	15	specific	specific	ADJ
fcis-7575	102	16	properties	property	NOUN
fcis-7575	102	17	,	,	PUNCT
fcis-7575	102	18	which	which	PRON
fcis-7575	102	19	could	could	AUX
fcis-7575	102	20	open	open	VERB
fcis-7575	102	21	up	up	ADP
fcis-7575	102	22	new	new	ADJ
fcis-7575	102	23	avenues	avenue	NOUN
fcis-7575	102	24	for	for	ADP
fcis-7575	102	25	drug	drug	NOUN
fcis-7575	102	26	discovery	discovery	NOUN
fcis-7575	102	27	.	.	PUNCT
fcis-7575	103	1	overall	overall	ADV
fcis-7575	103	2	,	,	PUNCT
fcis-7575	103	3	the	the	DET
fcis-7575	103	4	potential	potential	ADJ
fcis-7575	103	5	benefits	benefit	NOUN
fcis-7575	103	6	of	of	ADP
fcis-7575	103	7	using	use	VERB
fcis-7575	103	8	deep	deep	ADJ
fcis-7575	103	9	learning	learning	NOUN
fcis-7575	103	10	in	in	ADP
fcis-7575	103	11	drug	drug	NOUN
fcis-7575	103	12	discovery	discovery	NOUN
fcis-7575	103	13	are	be	AUX
fcis-7575	103	14	numerous	numerous	ADJ
fcis-7575	103	15	.	.	PUNCT
fcis-7575	104	1	deep	deep	ADJ
fcis-7575	104	2	learning	learning	NOUN
fcis-7575	104	3	can	can	AUX
fcis-7575	104	4	accelerate	accelerate	VERB
fcis-7575	104	5	the	the	DET
fcis-7575	104	6	drug	drug	NOUN
fcis-7575	104	7	discovery	discovery	NOUN
fcis-7575	104	8	process	process	NOUN
fcis-7575	104	9	,	,	PUNCT
fcis-7575	104	10	reduce	reduce	VERB
fcis-7575	104	11	costs	cost	NOUN
fcis-7575	104	12	,	,	PUNCT
fcis-7575	104	13	and	and	CCONJ
fcis-7575	104	14	improve	improve	VERB
fcis-7575	104	15	the	the	DET
fcis-7575	104	16	effectiveness	effectiveness	NOUN
fcis-7575	104	17	of	of	ADP
fcis-7575	104	18	new	new	ADJ
fcis-7575	104	19	drug	drug	NOUN
fcis-7575	104	20	candidates	candidate	NOUN
fcis-7575	104	21	.	.	PUNCT
fcis-7575	105	1	by	by	ADP
fcis-7575	105	2	processing	process	VERB
fcis-7575	105	3	vast	vast	ADJ
fcis-7575	105	4	amounts	amount	NOUN
fcis-7575	105	5	of	of	ADP
fcis-7575	105	6	data	datum	NOUN
fcis-7575	105	7	from	from	ADP
fcis-7575	105	8	a	a	DET
fcis-7575	105	9	variety	variety	NOUN
fcis-7575	105	10	of	of	ADP
fcis-7575	105	11	sources	source	NOUN
fcis-7575	105	12	,	,	PUNCT
fcis-7575	105	13	deep	deep	ADJ
fcis-7575	105	14	learning	learning	NOUN
fcis-7575	105	15	algorithms	algorithm	NOUN
fcis-7575	105	16	can	can	AUX
fcis-7575	105	17	identify	identify	VERB
fcis-7575	105	18	new	new	ADJ
fcis-7575	105	19	drug	drug	NOUN
fcis-7575	105	20	candidates	candidate	NOUN
fcis-7575	105	21	,	,	PUNCT
fcis-7575	105	22	predict	predict	VERB
fcis-7575	105	23	their	their	PRON
fcis-7575	105	24	efficacy	efficacy	NOUN
fcis-7575	105	25	,	,	PUNCT
fcis-7575	105	26	and	and	CCONJ
fcis-7575	105	27	even	even	ADV
fcis-7575	105	28	design	design	VERB
fcis-7575	105	29	entirely	entirely	ADV
fcis-7575	105	30	new	new	ADJ
fcis-7575	105	31	molecules	molecule	NOUN
fcis-7575	105	32	with	with	ADP
fcis-7575	105	33	specific	specific	ADJ
fcis-7575	105	34	properties	property	NOUN
fcis-7575	105	35	.	.	PUNCT
fcis-7575	106	1	4	4	X
fcis-7575	106	2	.	.	NUM
fcis-7575	106	3	limitations	limitation	NOUN
fcis-7575	106	4	and	and	CCONJ
fcis-7575	106	5	challenges	challenge	NOUN
fcis-7575	106	6	of	of	ADP
fcis-7575	106	7	using	use	VERB
fcis-7575	106	8	deep	deep	ADJ
fcis-7575	106	9	learning	learning	NOUN
fcis-7575	106	10	in	in	ADP
fcis-7575	106	11	drug	drug	NOUN
fcis-7575	106	12	discovery	discovery	NOUN
fcis-7575	106	13	the	the	DET
fcis-7575	106	14	use	use	NOUN
fcis-7575	106	15	of	of	ADP
fcis-7575	106	16	deep	deep	ADJ
fcis-7575	106	17	learning	learning	NOUN
fcis-7575	106	18	in	in	ADP
fcis-7575	106	19	drug	drug	NOUN
fcis-7575	106	20	discovery	discovery	NOUN
fcis-7575	106	21	has	have	AUX
fcis-7575	106	22	shown	show	VERB
fcis-7575	106	23	great	great	ADJ
fcis-7575	106	24	potential	potential	NOUN
fcis-7575	106	25	in	in	ADP
fcis-7575	106	26	accelerating	accelerate	VERB
fcis-7575	106	27	the	the	DET
fcis-7575	106	28	discovery	discovery	NOUN
fcis-7575	106	29	of	of	ADP
fcis-7575	106	30	new	new	ADJ
fcis-7575	106	31	drugs	drug	NOUN
fcis-7575	106	32	and	and	CCONJ
fcis-7575	106	33	reducing	reduce	VERB
fcis-7575	106	34	costs	cost	NOUN
fcis-7575	106	35	.	.	PUNCT
fcis-7575	107	1	however	however	ADV
fcis-7575	107	2	,	,	PUNCT
fcis-7575	107	3	like	like	ADP
fcis-7575	107	4	any	any	DET
fcis-7575	107	5	technology	technology	NOUN
fcis-7575	107	6	,	,	PUNCT
fcis-7575	107	7	it	it	PRON
fcis-7575	107	8	comes	come	VERB
fcis-7575	107	9	with	with	ADP
fcis-7575	107	10	its	its	PRON
fcis-7575	107	11	own	own	ADJ
fcis-7575	107	12	set	set	NOUN
fcis-7575	107	13	of	of	ADP
fcis-7575	107	14	limitations	limitation	NOUN
fcis-7575	107	15	and	and	CCONJ
fcis-7575	107	16	challenges	challenge	NOUN
fcis-7575	107	17	that	that	PRON
fcis-7575	107	18	need	need	VERB
fcis-7575	107	19	to	to	PART
fcis-7575	107	20	be	be	AUX
fcis-7575	107	21	addressed	address	VERB
fcis-7575	107	22	.	.	PUNCT
fcis-7575	108	1	in	in	ADP
fcis-7575	108	2	this	this	DET
fcis-7575	108	3	section	section	NOUN
fcis-7575	108	4	,	,	PUNCT
fcis-7575	108	5	we	we	PRON
fcis-7575	108	6	will	will	AUX
fcis-7575	108	7	discuss	discuss	VERB
fcis-7575	108	8	the	the	DET
fcis-7575	108	9	various	various	ADJ
fcis-7575	108	10	limitations	limitation	NOUN
fcis-7575	108	11	and	and	CCONJ
fcis-7575	108	12	challenges	challenge	NOUN
fcis-7575	108	13	associated	associate	VERB
fcis-7575	108	14	with	with	ADP
fcis-7575	108	15	using	use	VERB
fcis-7575	108	16	deep	deep	ADJ
fcis-7575	108	17	learning	learning	NOUN
fcis-7575	108	18	in	in	ADP
fcis-7575	108	19	drug	drug	NOUN
fcis-7575	108	20	discovery	discovery	NOUN
fcis-7575	108	21	and	and	CCONJ
fcis-7575	108	22	ways	way	NOUN
fcis-7575	108	23	in	in	ADP
fcis-7575	108	24	which	which	PRON
fcis-7575	108	25	they	they	PRON
fcis-7575	108	26	can	can	AUX
fcis-7575	108	27	be	be	AUX
fcis-7575	108	28	addressed	address	VERB
fcis-7575	108	29	.	.	PUNCT
fcis-7575	109	1	4.1	4.1	NUM
fcis-7575	109	2	.	.	PUNCT
fcis-7575	109	3	lack	lack	NOUN
fcis-7575	109	4	of	of	ADP
fcis-7575	109	5	high	high	ADJ
fcis-7575	109	6	-	-	PUNCT
fcis-7575	109	7	quality	quality	NOUN
fcis-7575	109	8	training	training	NOUN
fcis-7575	109	9	data	datum	NOUN
fcis-7575	109	10	one	one	NUM
fcis-7575	109	11	of	of	ADP
fcis-7575	109	12	the	the	DET
fcis-7575	109	13	primary	primary	ADJ
fcis-7575	109	14	challenges	challenge	NOUN
fcis-7575	109	15	in	in	ADP
fcis-7575	109	16	using	use	VERB
fcis-7575	109	17	deep	deep	ADJ
fcis-7575	109	18	learning	learning	NOUN
fcis-7575	109	19	for	for	ADP
fcis-7575	109	20	drug	drug	NOUN
fcis-7575	109	21	discovery	discovery	NOUN
fcis-7575	109	22	is	be	AUX
fcis-7575	109	23	the	the	DET
fcis-7575	109	24	lack	lack	NOUN
fcis-7575	109	25	of	of	ADP
fcis-7575	109	26	high	high	ADJ
fcis-7575	109	27	-	-	PUNCT
fcis-7575	109	28	quality	quality	NOUN
fcis-7575	109	29	training	training	NOUN
fcis-7575	109	30	data	datum	NOUN
fcis-7575	109	31	.	.	PUNCT
fcis-7575	110	1	in	in	ADP
fcis-7575	110	2	order	order	NOUN
fcis-7575	110	3	for	for	ADP
fcis-7575	110	4	a	a	DET
fcis-7575	110	5	deep	deep	ADJ
fcis-7575	110	6	learning	learning	NOUN
fcis-7575	110	7	model	model	NOUN
fcis-7575	110	8	to	to	PART
fcis-7575	110	9	make	make	VERB
fcis-7575	110	10	accurate	accurate	ADJ
fcis-7575	110	11	predictions	prediction	NOUN
fcis-7575	110	12	,	,	PUNCT
fcis-7575	110	13	it	it	PRON
fcis-7575	110	14	needs	need	VERB
fcis-7575	110	15	to	to	PART
fcis-7575	110	16	be	be	AUX
fcis-7575	110	17	trained	train	VERB
fcis-7575	110	18	on	on	ADP
fcis-7575	110	19	a	a	DET
fcis-7575	110	20	large	large	ADJ
fcis-7575	110	21	dataset	dataset	NOUN
fcis-7575	110	22	of	of	ADP
fcis-7575	110	23	high	high	ADJ
fcis-7575	110	24	-	-	PUNCT
fcis-7575	110	25	quality	quality	NOUN
fcis-7575	110	26	data	datum	NOUN
fcis-7575	110	27	.	.	PUNCT
fcis-7575	111	1	however	however	ADV
fcis-7575	111	2	,	,	PUNCT
fcis-7575	111	3	in	in	ADP
fcis-7575	111	4	the	the	DET
fcis-7575	111	5	field	field	NOUN
fcis-7575	111	6	of	of	ADP
fcis-7575	111	7	drug	drug	NOUN
fcis-7575	111	8	discovery	discovery	NOUN
fcis-7575	111	9	,	,	PUNCT
fcis-7575	111	10	such	such	ADJ
fcis-7575	111	11	data	datum	NOUN
fcis-7575	111	12	is	be	AUX
fcis-7575	111	13	often	often	ADV
fcis-7575	111	14	difficult	difficult	ADJ
fcis-7575	111	15	to	to	PART
fcis-7575	111	16	obtain	obtain	VERB
fcis-7575	111	17	.	.	PUNCT
fcis-7575	112	1	for	for	ADP
fcis-7575	112	2	example	example	NOUN
fcis-7575	112	3	,	,	PUNCT
fcis-7575	112	4	there	there	PRON
fcis-7575	112	5	may	may	AUX
fcis-7575	112	6	be	be	AUX
fcis-7575	112	7	limited	limit	VERB
fcis-7575	112	8	121	121	NUM
fcis-7575	112	9	information	information	NOUN
fcis-7575	112	10	available	available	ADJ
fcis-7575	112	11	on	on	ADP
fcis-7575	112	12	the	the	DET
fcis-7575	112	13	biological	biological	ADJ
fcis-7575	112	14	activity	activity	NOUN
fcis-7575	112	15	of	of	ADP
fcis-7575	112	16	potential	potential	ADJ
fcis-7575	112	17	drug	drug	NOUN
fcis-7575	112	18	molecules	molecule	NOUN
fcis-7575	112	19	,	,	PUNCT
fcis-7575	112	20	or	or	CCONJ
fcis-7575	112	21	the	the	DET
fcis-7575	112	22	available	available	ADJ
fcis-7575	112	23	data	datum	NOUN
fcis-7575	112	24	may	may	AUX
fcis-7575	112	25	be	be	AUX
fcis-7575	112	26	biased	bias	VERB
fcis-7575	112	27	towards	towards	ADP
fcis-7575	112	28	certain	certain	ADJ
fcis-7575	112	29	types	type	NOUN
fcis-7575	112	30	of	of	ADP
fcis-7575	112	31	molecules	molecule	NOUN
fcis-7575	112	32	.	.	PUNCT
fcis-7575	113	1	one	one	NUM
fcis-7575	113	2	way	way	NOUN
fcis-7575	113	3	to	to	PART
fcis-7575	113	4	address	address	VERB
fcis-7575	113	5	this	this	DET
fcis-7575	113	6	challenge	challenge	NOUN
fcis-7575	113	7	is	be	AUX
fcis-7575	113	8	to	to	PART
fcis-7575	113	9	use	use	VERB
fcis-7575	113	10	transfer	transfer	NOUN
fcis-7575	113	11	learning	learning	NOUN
fcis-7575	113	12	,	,	PUNCT
fcis-7575	113	13	which	which	PRON
fcis-7575	113	14	involves	involve	VERB
fcis-7575	113	15	reusing	reuse	VERB
fcis-7575	113	16	a	a	DET
fcis-7575	113	17	pre	pre	ADJ
fcis-7575	113	18	-	-	ADJ
fcis-7575	113	19	trained	train	VERB
fcis-7575	113	20	deep	deep	ADJ
fcis-7575	113	21	learning	learning	NOUN
fcis-7575	113	22	model	model	NOUN
fcis-7575	113	23	on	on	ADP
fcis-7575	113	24	a	a	DET
fcis-7575	113	25	new	new	ADJ
fcis-7575	113	26	task	task	NOUN
fcis-7575	113	27	.	.	PUNCT
fcis-7575	114	1	this	this	DET
fcis-7575	114	2	approach	approach	NOUN
fcis-7575	114	3	can	can	AUX
fcis-7575	114	4	be	be	AUX
fcis-7575	114	5	particularly	particularly	ADV
fcis-7575	114	6	effective	effective	ADJ
fcis-7575	114	7	when	when	SCONJ
fcis-7575	114	8	there	there	PRON
fcis-7575	114	9	is	be	VERB
fcis-7575	114	10	limited	limited	ADJ
fcis-7575	114	11	data	datum	NOUN
fcis-7575	114	12	available	available	ADJ
fcis-7575	114	13	for	for	ADP
fcis-7575	114	14	a	a	DET
fcis-7575	114	15	specific	specific	ADJ
fcis-7575	114	16	task	task	NOUN
fcis-7575	114	17	.	.	PUNCT
fcis-7575	115	1	for	for	ADP
fcis-7575	115	2	example	example	NOUN
fcis-7575	115	3	,	,	PUNCT
fcis-7575	115	4	a	a	DET
fcis-7575	115	5	deep	deep	ADJ
fcis-7575	115	6	learning	learning	NOUN
fcis-7575	115	7	model	model	NOUN
fcis-7575	115	8	trained	train	VERB
fcis-7575	115	9	on	on	ADP
fcis-7575	115	10	one	one	NUM
fcis-7575	115	11	type	type	NOUN
fcis-7575	115	12	of	of	ADP
fcis-7575	115	13	cancer	cancer	NOUN
fcis-7575	115	14	could	could	AUX
fcis-7575	115	15	be	be	AUX
fcis-7575	115	16	fine	fine	ADV
fcis-7575	115	17	-	-	PUNCT
fcis-7575	115	18	tuned	tune	VERB
fcis-7575	115	19	to	to	PART
fcis-7575	115	20	predict	predict	VERB
fcis-7575	115	21	drug	drug	NOUN
fcis-7575	115	22	response	response	NOUN
fcis-7575	115	23	in	in	ADP
fcis-7575	115	24	a	a	DET
fcis-7575	115	25	different	different	ADJ
fcis-7575	115	26	type	type	NOUN
fcis-7575	115	27	of	of	ADP
fcis-7575	115	28	cancer	cancer	NOUN
fcis-7575	115	29	.	.	PUNCT
fcis-7575	116	1	4.2	4.2	NUM
fcis-7575	116	2	.	.	PUNCT
fcis-7575	117	1	overfitting	overfitte	VERB
fcis-7575	117	2	and	and	CCONJ
fcis-7575	117	3	generalization	generalization	NOUN
fcis-7575	117	4	issues	issue	VERB
fcis-7575	117	5	another	another	DET
fcis-7575	117	6	challenge	challenge	NOUN
fcis-7575	117	7	in	in	ADP
fcis-7575	117	8	using	use	VERB
fcis-7575	117	9	deep	deep	ADJ
fcis-7575	117	10	learning	learning	NOUN
fcis-7575	117	11	for	for	ADP
fcis-7575	117	12	drug	drug	NOUN
fcis-7575	117	13	discovery	discovery	NOUN
fcis-7575	117	14	is	be	AUX
fcis-7575	117	15	the	the	DET
fcis-7575	117	16	risk	risk	NOUN
fcis-7575	117	17	of	of	ADP
fcis-7575	117	18	overfitting	overfitte	VERB
fcis-7575	117	19	,	,	PUNCT
fcis-7575	117	20	where	where	SCONJ
fcis-7575	117	21	the	the	DET
fcis-7575	117	22	model	model	NOUN
fcis-7575	117	23	becomes	become	VERB
fcis-7575	117	24	too	too	ADV
fcis-7575	117	25	complex	complex	ADJ
fcis-7575	117	26	and	and	CCONJ
fcis-7575	117	27	starts	start	VERB
fcis-7575	117	28	to	to	PART
fcis-7575	117	29	fit	fit	VERB
fcis-7575	117	30	the	the	DET
fcis-7575	117	31	noise	noise	NOUN
fcis-7575	117	32	in	in	ADP
fcis-7575	117	33	the	the	DET
fcis-7575	117	34	data	datum	NOUN
fcis-7575	117	35	rather	rather	ADV
fcis-7575	117	36	than	than	ADP
fcis-7575	117	37	the	the	DET
fcis-7575	117	38	underlying	underlie	VERB
fcis-7575	117	39	patterns	pattern	NOUN
fcis-7575	117	40	.	.	PUNCT
fcis-7575	118	1	this	this	PRON
fcis-7575	118	2	can	can	AUX
fcis-7575	118	3	lead	lead	VERB
fcis-7575	118	4	to	to	ADP
fcis-7575	118	5	poor	poor	ADJ
fcis-7575	118	6	generalization	generalization	NOUN
fcis-7575	118	7	,	,	PUNCT
fcis-7575	118	8	where	where	SCONJ
fcis-7575	118	9	the	the	DET
fcis-7575	118	10	model	model	NOUN
fcis-7575	118	11	performs	perform	VERB
fcis-7575	118	12	well	well	ADV
fcis-7575	118	13	on	on	ADP
fcis-7575	118	14	the	the	DET
fcis-7575	118	15	training	training	NOUN
fcis-7575	118	16	data	datum	NOUN
fcis-7575	118	17	but	but	CCONJ
fcis-7575	118	18	poorly	poorly	ADV
fcis-7575	118	19	on	on	ADP
fcis-7575	118	20	new	new	ADJ
fcis-7575	118	21	data	datum	NOUN
fcis-7575	118	22	.	.	PUNCT
fcis-7575	119	1	one	one	NUM
fcis-7575	119	2	way	way	NOUN
fcis-7575	119	3	to	to	PART
fcis-7575	119	4	address	address	VERB
fcis-7575	119	5	overfitting	overfitte	VERB
fcis-7575	119	6	and	and	CCONJ
fcis-7575	119	7	improve	improve	VERB
fcis-7575	119	8	generalization	generalization	NOUN
fcis-7575	119	9	is	be	AUX
fcis-7575	119	10	to	to	PART
fcis-7575	119	11	use	use	VERB
fcis-7575	119	12	regularization	regularization	NOUN
fcis-7575	119	13	techniques	technique	NOUN
fcis-7575	119	14	,	,	PUNCT
fcis-7575	119	15	such	such	ADJ
fcis-7575	119	16	as	as	ADP
fcis-7575	119	17	dropout	dropout	NOUN
fcis-7575	119	18	or	or	CCONJ
fcis-7575	119	19	l1	l1	PROPN
fcis-7575	119	20	/	/	SYM
fcis-7575	119	21	l2	l2	NOUN
fcis-7575	119	22	regularization	regularization	NOUN
fcis-7575	119	23	.	.	PUNCT
fcis-7575	120	1	these	these	DET
fcis-7575	120	2	techniques	technique	NOUN
fcis-7575	120	3	can	can	AUX
fcis-7575	120	4	help	help	VERB
fcis-7575	120	5	to	to	PART
fcis-7575	120	6	reduce	reduce	VERB
fcis-7575	120	7	the	the	DET
fcis-7575	120	8	complexity	complexity	NOUN
fcis-7575	120	9	of	of	ADP
fcis-7575	120	10	the	the	DET
fcis-7575	120	11	model	model	NOUN
fcis-7575	120	12	and	and	CCONJ
fcis-7575	120	13	prevent	prevent	VERB
fcis-7575	120	14	overfitting	overfitting	NOUN
fcis-7575	120	15	.	.	PUNCT
fcis-7575	121	1	another	another	DET
fcis-7575	121	2	approach	approach	NOUN
fcis-7575	121	3	is	be	AUX
fcis-7575	121	4	to	to	PART
fcis-7575	121	5	use	use	VERB
fcis-7575	121	6	ensemble	ensemble	ADJ
fcis-7575	121	7	methods	method	NOUN
fcis-7575	121	8	,	,	PUNCT
fcis-7575	121	9	where	where	SCONJ
fcis-7575	121	10	multiple	multiple	ADJ
fcis-7575	121	11	models	model	NOUN
fcis-7575	121	12	are	be	AUX
fcis-7575	121	13	trained	train	VERB
fcis-7575	121	14	and	and	CCONJ
fcis-7575	121	15	their	their	PRON
fcis-7575	121	16	predictions	prediction	NOUN
fcis-7575	121	17	are	be	AUX
fcis-7575	121	18	combined	combine	VERB
fcis-7575	121	19	to	to	PART
fcis-7575	121	20	improve	improve	VERB
fcis-7575	121	21	performance	performance	NOUN
fcis-7575	121	22	.	.	PUNCT
fcis-7575	122	1	4.3	4.3	NUM
fcis-7575	122	2	.	.	PUNCT
fcis-7575	122	3	interpretability	interpretability	NOUN
fcis-7575	122	4	and	and	CCONJ
fcis-7575	122	5	explainability	explainability	NOUN
fcis-7575	122	6	of	of	ADP
fcis-7575	122	7	deep	deep	ADJ
fcis-7575	122	8	learning	learning	NOUN
fcis-7575	122	9	models	model	NOUN
fcis-7575	122	10	one	one	NUM
fcis-7575	122	11	of	of	ADP
fcis-7575	122	12	the	the	DET
fcis-7575	122	13	key	key	ADJ
fcis-7575	122	14	challenges	challenge	NOUN
fcis-7575	122	15	in	in	ADP
fcis-7575	122	16	using	use	VERB
fcis-7575	122	17	deep	deep	ADJ
fcis-7575	122	18	learning	learning	NOUN
fcis-7575	122	19	for	for	ADP
fcis-7575	122	20	drug	drug	NOUN
fcis-7575	122	21	discovery	discovery	NOUN
fcis-7575	122	22	is	be	AUX
fcis-7575	122	23	the	the	DET
fcis-7575	122	24	lack	lack	NOUN
fcis-7575	122	25	of	of	ADP
fcis-7575	122	26	interpretability	interpretability	NOUN
fcis-7575	122	27	and	and	CCONJ
fcis-7575	122	28	explainability	explainability	NOUN
fcis-7575	122	29	of	of	ADP
fcis-7575	122	30	the	the	DET
fcis-7575	122	31	models	model	NOUN
fcis-7575	122	32	.	.	PUNCT
fcis-7575	123	1	deep	deep	ADJ
fcis-7575	123	2	learning	learning	NOUN
fcis-7575	123	3	models	model	NOUN
fcis-7575	123	4	are	be	AUX
fcis-7575	123	5	often	often	ADV
fcis-7575	123	6	black	black	ADJ
fcis-7575	123	7	boxes	box	NOUN
fcis-7575	123	8	,	,	PUNCT
fcis-7575	123	9	meaning	mean	VERB
fcis-7575	123	10	that	that	SCONJ
fcis-7575	123	11	it	it	PRON
fcis-7575	123	12	is	be	AUX
fcis-7575	123	13	difficult	difficult	ADJ
fcis-7575	123	14	to	to	PART
fcis-7575	123	15	understand	understand	VERB
fcis-7575	123	16	how	how	SCONJ
fcis-7575	123	17	they	they	PRON
fcis-7575	123	18	arrived	arrive	VERB
fcis-7575	123	19	at	at	ADP
fcis-7575	123	20	their	their	PRON
fcis-7575	123	21	predictions	prediction	NOUN
fcis-7575	123	22	.	.	PUNCT
fcis-7575	124	1	this	this	PRON
fcis-7575	124	2	can	can	AUX
fcis-7575	124	3	make	make	VERB
fcis-7575	124	4	it	it	PRON
fcis-7575	124	5	difficult	difficult	ADJ
fcis-7575	124	6	for	for	SCONJ
fcis-7575	124	7	researchers	researcher	NOUN
fcis-7575	124	8	to	to	PART
fcis-7575	124	9	validate	validate	VERB
fcis-7575	124	10	the	the	DET
fcis-7575	124	11	models	model	NOUN
fcis-7575	124	12	and	and	CCONJ
fcis-7575	124	13	to	to	PART
fcis-7575	124	14	gain	gain	VERB
fcis-7575	124	15	insights	insight	NOUN
fcis-7575	124	16	into	into	ADP
fcis-7575	124	17	the	the	DET
fcis-7575	124	18	underlying	underlie	VERB
fcis-7575	124	19	biology	biology	NOUN
fcis-7575	124	20	.	.	PUNCT
fcis-7575	125	1	several	several	ADJ
fcis-7575	125	2	approaches	approach	NOUN
fcis-7575	125	3	have	have	AUX
fcis-7575	125	4	been	be	AUX
fcis-7575	125	5	proposed	propose	VERB
fcis-7575	125	6	to	to	PART
fcis-7575	125	7	address	address	VERB
fcis-7575	125	8	this	this	DET
fcis-7575	125	9	challenge	challenge	NOUN
fcis-7575	125	10	.	.	PUNCT
fcis-7575	126	1	one	one	NUM
fcis-7575	126	2	approach	approach	NOUN
fcis-7575	126	3	is	be	AUX
fcis-7575	126	4	to	to	PART
fcis-7575	126	5	use	use	VERB
fcis-7575	126	6	attention	attention	NOUN
fcis-7575	126	7	mechanisms	mechanism	NOUN
fcis-7575	126	8	,	,	PUNCT
fcis-7575	126	9	which	which	PRON
fcis-7575	126	10	highlight	highlight	VERB
fcis-7575	126	11	the	the	DET
fcis-7575	126	12	parts	part	NOUN
fcis-7575	126	13	of	of	ADP
fcis-7575	126	14	the	the	DET
fcis-7575	126	15	input	input	NOUN
fcis-7575	126	16	that	that	PRON
fcis-7575	126	17	are	be	AUX
fcis-7575	126	18	most	most	ADV
fcis-7575	126	19	relevant	relevant	ADJ
fcis-7575	126	20	to	to	ADP
fcis-7575	126	21	the	the	DET
fcis-7575	126	22	prediction	prediction	NOUN
fcis-7575	126	23	.	.	PUNCT
fcis-7575	127	1	another	another	DET
fcis-7575	127	2	approach	approach	NOUN
fcis-7575	127	3	is	be	AUX
fcis-7575	127	4	to	to	PART
fcis-7575	127	5	use	use	VERB
fcis-7575	127	6	adversarial	adversarial	ADJ
fcis-7575	127	7	examples	example	NOUN
fcis-7575	127	8	,	,	PUNCT
fcis-7575	127	9	which	which	PRON
fcis-7575	127	10	are	be	AUX
fcis-7575	127	11	input	input	NOUN
fcis-7575	127	12	samples	sample	NOUN
fcis-7575	127	13	that	that	PRON
fcis-7575	127	14	are	be	AUX
fcis-7575	127	15	designed	design	VERB
fcis-7575	127	16	to	to	PART
fcis-7575	127	17	cause	cause	VERB
fcis-7575	127	18	the	the	DET
fcis-7575	127	19	model	model	NOUN
fcis-7575	127	20	to	to	PART
fcis-7575	127	21	make	make	VERB
fcis-7575	127	22	a	a	DET
fcis-7575	127	23	mistake	mistake	NOUN
fcis-7575	127	24	.	.	PUNCT
fcis-7575	128	1	by	by	ADP
fcis-7575	128	2	analyzing	analyze	VERB
fcis-7575	128	3	the	the	DET
fcis-7575	128	4	adversarial	adversarial	ADJ
fcis-7575	128	5	examples	example	NOUN
fcis-7575	128	6	,	,	PUNCT
fcis-7575	128	7	researchers	researcher	NOUN
fcis-7575	128	8	can	can	AUX
fcis-7575	128	9	gain	gain	VERB
fcis-7575	128	10	insights	insight	NOUN
fcis-7575	128	11	into	into	ADP
fcis-7575	128	12	the	the	DET
fcis-7575	128	13	weaknesses	weakness	NOUN
fcis-7575	128	14	of	of	ADP
fcis-7575	128	15	the	the	DET
fcis-7575	128	16	model	model	NOUN
fcis-7575	128	17	.	.	PUNCT
fcis-7575	129	1	4.4	4.4	NUM
fcis-7575	129	2	.	.	PUNCT
fcis-7575	130	1	legal	legal	ADJ
fcis-7575	130	2	and	and	CCONJ
fcis-7575	130	3	ethical	ethical	ADJ
fcis-7575	130	4	considerations	consideration	NOUN
fcis-7575	130	5	one	one	NUM
fcis-7575	130	6	of	of	ADP
fcis-7575	130	7	the	the	DET
fcis-7575	130	8	key	key	ADJ
fcis-7575	130	9	challenges	challenge	NOUN
fcis-7575	130	10	in	in	ADP
fcis-7575	130	11	using	use	VERB
fcis-7575	130	12	deep	deep	ADJ
fcis-7575	130	13	learning	learning	NOUN
fcis-7575	130	14	for	for	ADP
fcis-7575	130	15	drug	drug	NOUN
fcis-7575	130	16	discovery	discovery	NOUN
fcis-7575	130	17	is	be	AUX
fcis-7575	130	18	the	the	DET
fcis-7575	130	19	lack	lack	NOUN
fcis-7575	130	20	of	of	ADP
fcis-7575	130	21	interpretability	interpretability	NOUN
fcis-7575	130	22	and	and	CCONJ
fcis-7575	130	23	explain	explain	VERB
fcis-7575	130	24	ability	ability	NOUN
fcis-7575	130	25	of	of	ADP
fcis-7575	130	26	the	the	DET
fcis-7575	130	27	models	model	NOUN
fcis-7575	130	28	.	.	PUNCT
fcis-7575	131	1	deep	deep	ADJ
fcis-7575	131	2	learning	learning	NOUN
fcis-7575	131	3	models	model	NOUN
fcis-7575	131	4	are	be	AUX
fcis-7575	131	5	often	often	ADV
fcis-7575	131	6	black	black	ADJ
fcis-7575	131	7	boxes	box	NOUN
fcis-7575	131	8	,	,	PUNCT
fcis-7575	131	9	meaning	mean	VERB
fcis-7575	131	10	that	that	SCONJ
fcis-7575	131	11	it	it	PRON
fcis-7575	131	12	is	be	AUX
fcis-7575	131	13	difficult	difficult	ADJ
fcis-7575	131	14	to	to	PART
fcis-7575	131	15	understand	understand	VERB
fcis-7575	131	16	how	how	SCONJ
fcis-7575	131	17	they	they	PRON
fcis-7575	131	18	arrived	arrive	VERB
fcis-7575	131	19	at	at	ADP
fcis-7575	131	20	their	their	PRON
fcis-7575	131	21	predictions	prediction	NOUN
fcis-7575	131	22	.	.	PUNCT
fcis-7575	132	1	this	this	PRON
fcis-7575	132	2	can	can	AUX
fcis-7575	132	3	make	make	VERB
fcis-7575	132	4	it	it	PRON
fcis-7575	132	5	difficult	difficult	ADJ
fcis-7575	132	6	for	for	SCONJ
fcis-7575	132	7	researchers	researcher	NOUN
fcis-7575	132	8	to	to	PART
fcis-7575	132	9	validate	validate	VERB
fcis-7575	132	10	the	the	DET
fcis-7575	132	11	models	model	NOUN
fcis-7575	132	12	and	and	CCONJ
fcis-7575	132	13	to	to	PART
fcis-7575	132	14	gain	gain	VERB
fcis-7575	132	15	insights	insight	NOUN
fcis-7575	132	16	into	into	ADP
fcis-7575	132	17	the	the	DET
fcis-7575	132	18	underlying	underlie	VERB
fcis-7575	132	19	biology	biology	NOUN
fcis-7575	132	20	.	.	PUNCT
fcis-7575	133	1	several	several	ADJ
fcis-7575	133	2	approaches	approach	NOUN
fcis-7575	133	3	have	have	AUX
fcis-7575	133	4	been	be	AUX
fcis-7575	133	5	proposed	propose	VERB
fcis-7575	133	6	to	to	PART
fcis-7575	133	7	address	address	VERB
fcis-7575	133	8	this	this	DET
fcis-7575	133	9	challenge	challenge	NOUN
fcis-7575	133	10	.	.	PUNCT
fcis-7575	134	1	one	one	NUM
fcis-7575	134	2	approach	approach	NOUN
fcis-7575	134	3	is	be	AUX
fcis-7575	134	4	to	to	PART
fcis-7575	134	5	use	use	VERB
fcis-7575	134	6	attention	attention	NOUN
fcis-7575	134	7	mechanisms	mechanism	NOUN
fcis-7575	134	8	,	,	PUNCT
fcis-7575	134	9	which	which	PRON
fcis-7575	134	10	highlight	highlight	VERB
fcis-7575	134	11	the	the	DET
fcis-7575	134	12	parts	part	NOUN
fcis-7575	134	13	of	of	ADP
fcis-7575	134	14	the	the	DET
fcis-7575	134	15	input	input	NOUN
fcis-7575	134	16	that	that	PRON
fcis-7575	134	17	are	be	AUX
fcis-7575	134	18	most	most	ADV
fcis-7575	134	19	relevant	relevant	ADJ
fcis-7575	134	20	to	to	ADP
fcis-7575	134	21	the	the	DET
fcis-7575	134	22	prediction	prediction	NOUN
fcis-7575	134	23	.	.	PUNCT
fcis-7575	135	1	another	another	DET
fcis-7575	135	2	approach	approach	NOUN
fcis-7575	135	3	is	be	AUX
fcis-7575	135	4	to	to	PART
fcis-7575	135	5	use	use	VERB
fcis-7575	135	6	adversarial	adversarial	ADJ
fcis-7575	135	7	examples	example	NOUN
fcis-7575	135	8	,	,	PUNCT
fcis-7575	135	9	which	which	PRON
fcis-7575	135	10	are	be	AUX
fcis-7575	135	11	input	input	NOUN
fcis-7575	135	12	samples	sample	NOUN
fcis-7575	135	13	that	that	PRON
fcis-7575	135	14	are	be	AUX
fcis-7575	135	15	designed	design	VERB
fcis-7575	135	16	to	to	PART
fcis-7575	135	17	cause	cause	VERB
fcis-7575	135	18	the	the	DET
fcis-7575	135	19	model	model	NOUN
fcis-7575	135	20	to	to	PART
fcis-7575	135	21	make	make	VERB
fcis-7575	135	22	a	a	DET
fcis-7575	135	23	mistake	mistake	NOUN
fcis-7575	135	24	.	.	PUNCT
fcis-7575	136	1	by	by	ADP
fcis-7575	136	2	analyzing	analyze	VERB
fcis-7575	136	3	the	the	DET
fcis-7575	136	4	adversarial	adversarial	ADJ
fcis-7575	136	5	examples	example	NOUN
fcis-7575	136	6	,	,	PUNCT
fcis-7575	136	7	researchers	researcher	NOUN
fcis-7575	136	8	can	can	AUX
fcis-7575	136	9	gain	gain	VERB
fcis-7575	136	10	insights	insight	NOUN
fcis-7575	136	11	into	into	ADP
fcis-7575	136	12	the	the	DET
fcis-7575	136	13	weaknesses	weakness	NOUN
fcis-7575	136	14	of	of	ADP
fcis-7575	136	15	the	the	DET
fcis-7575	136	16	model	model	NOUN
fcis-7575	136	17	.	.	PUNCT
fcis-7575	137	1	5	5	X
fcis-7575	137	2	.	.	PUNCT
fcis-7575	137	3	future	future	ADJ
fcis-7575	137	4	directions	direction	NOUN
fcis-7575	137	5	and	and	CCONJ
fcis-7575	137	6	outlook	outlook	NOUN
fcis-7575	137	7	as	as	ADP
fcis-7575	137	8	the	the	DET
fcis-7575	137	9	field	field	NOUN
fcis-7575	137	10	of	of	ADP
fcis-7575	137	11	deep	deep	ADJ
fcis-7575	137	12	learning	learning	NOUN
fcis-7575	137	13	continues	continue	VERB
fcis-7575	137	14	to	to	PART
fcis-7575	137	15	advance	advance	VERB
fcis-7575	137	16	,	,	PUNCT
fcis-7575	137	17	there	there	PRON
fcis-7575	137	18	are	be	VERB
fcis-7575	137	19	numerous	numerous	ADJ
fcis-7575	137	20	exciting	exciting	ADJ
fcis-7575	137	21	opportunities	opportunity	NOUN
fcis-7575	137	22	for	for	ADP
fcis-7575	137	23	the	the	DET
fcis-7575	137	24	application	application	NOUN
fcis-7575	137	25	of	of	ADP
fcis-7575	137	26	these	these	DET
fcis-7575	137	27	techniques	technique	NOUN
fcis-7575	137	28	in	in	ADP
fcis-7575	137	29	drug	drug	NOUN
fcis-7575	137	30	discovery	discovery	NOUN
fcis-7575	137	31	.	.	PUNCT
fcis-7575	138	1	one	one	NUM
fcis-7575	138	2	promising	promise	VERB
fcis-7575	138	3	avenue	avenue	NOUN
fcis-7575	138	4	of	of	ADP
fcis-7575	138	5	research	research	NOUN
fcis-7575	138	6	is	be	AUX
fcis-7575	138	7	the	the	DET
fcis-7575	138	8	development	development	NOUN
fcis-7575	138	9	of	of	ADP
fcis-7575	138	10	more	more	ADV
fcis-7575	138	11	advanced	advanced	ADJ
fcis-7575	138	12	generative	generative	ADJ
fcis-7575	138	13	models	model	NOUN
fcis-7575	138	14	capable	capable	ADJ
fcis-7575	138	15	of	of	ADP
fcis-7575	138	16	generating	generate	VERB
fcis-7575	138	17	novel	novel	ADJ
fcis-7575	138	18	drug	drug	NOUN
fcis-7575	138	19	molecules	molecule	NOUN
fcis-7575	138	20	with	with	ADP
fcis-7575	138	21	specific	specific	ADJ
fcis-7575	138	22	properties	property	NOUN
fcis-7575	138	23	.	.	PUNCT
fcis-7575	139	1	while	while	SCONJ
fcis-7575	139	2	there	there	PRON
fcis-7575	139	3	have	have	AUX
fcis-7575	139	4	been	be	AUX
fcis-7575	139	5	some	some	DET
fcis-7575	139	6	successes	success	NOUN
fcis-7575	139	7	in	in	ADP
fcis-7575	139	8	this	this	DET
fcis-7575	139	9	area	area	NOUN
fcis-7575	139	10	,	,	PUNCT
fcis-7575	139	11	such	such	ADJ
fcis-7575	139	12	as	as	ADP
fcis-7575	139	13	the	the	DET
fcis-7575	139	14	development	development	NOUN
fcis-7575	139	15	of	of	ADP
fcis-7575	139	16	molecules	molecule	NOUN
fcis-7575	139	17	with	with	ADP
fcis-7575	139	18	activity	activity	NOUN
fcis-7575	139	19	against	against	ADP
fcis-7575	139	20	ebola	ebola	NOUN
fcis-7575	139	21	and	and	CCONJ
fcis-7575	139	22	tuberculosis	tuberculosis	NOUN
fcis-7575	139	23	,	,	PUNCT
fcis-7575	139	24	there	there	PRON
fcis-7575	139	25	is	be	VERB
fcis-7575	139	26	still	still	ADV
fcis-7575	139	27	much	much	ADJ
fcis-7575	139	28	work	work	NOUN
fcis-7575	139	29	to	to	PART
fcis-7575	139	30	be	be	AUX
fcis-7575	139	31	done	do	VERB
fcis-7575	139	32	in	in	ADP
fcis-7575	139	33	optimizing	optimize	VERB
fcis-7575	139	34	these	these	DET
fcis-7575	139	35	models	model	NOUN
fcis-7575	139	36	and	and	CCONJ
fcis-7575	139	37	improving	improve	VERB
fcis-7575	139	38	their	their	PRON
fcis-7575	139	39	performance	performance	NOUN
fcis-7575	139	40	.	.	PUNCT
fcis-7575	140	1	in	in	ADP
fcis-7575	140	2	particular	particular	ADJ
fcis-7575	140	3	,	,	PUNCT
fcis-7575	140	4	more	more	ADJ
fcis-7575	140	5	research	research	NOUN
fcis-7575	140	6	is	be	AUX
fcis-7575	140	7	needed	need	VERB
fcis-7575	140	8	to	to	PART
fcis-7575	140	9	develop	develop	VERB
fcis-7575	140	10	generative	generative	ADJ
fcis-7575	140	11	models	model	NOUN
fcis-7575	140	12	that	that	PRON
fcis-7575	140	13	are	be	AUX
fcis-7575	140	14	capable	capable	ADJ
fcis-7575	140	15	of	of	ADP
fcis-7575	140	16	producing	produce	VERB
fcis-7575	140	17	molecules	molecule	NOUN
fcis-7575	140	18	that	that	PRON
fcis-7575	140	19	are	be	AUX
fcis-7575	140	20	both	both	CCONJ
fcis-7575	140	21	effective	effective	ADJ
fcis-7575	140	22	and	and	CCONJ
fcis-7575	140	23	safe	safe	ADJ
fcis-7575	140	24	.	.	PUNCT
fcis-7575	141	1	another	another	DET
fcis-7575	141	2	area	area	NOUN
fcis-7575	141	3	where	where	SCONJ
fcis-7575	141	4	deep	deep	ADJ
fcis-7575	141	5	learning	learning	NOUN
fcis-7575	141	6	can	can	AUX
fcis-7575	141	7	make	make	VERB
fcis-7575	141	8	a	a	DET
fcis-7575	141	9	significant	significant	ADJ
fcis-7575	141	10	impact	impact	NOUN
fcis-7575	141	11	in	in	ADP
fcis-7575	141	12	drug	drug	NOUN
fcis-7575	141	13	discovery	discovery	NOUN
fcis-7575	141	14	is	be	AUX
fcis-7575	141	15	in	in	ADP
fcis-7575	141	16	the	the	DET
fcis-7575	141	17	identification	identification	NOUN
fcis-7575	141	18	of	of	ADP
fcis-7575	141	19	drug	drug	NOUN
fcis-7575	141	20	combinations	combination	NOUN
fcis-7575	141	21	that	that	PRON
fcis-7575	141	22	work	work	VERB
fcis-7575	141	23	synergistically	synergistically	ADV
fcis-7575	141	24	.	.	PUNCT
fcis-7575	142	1	while	while	SCONJ
fcis-7575	142	2	there	there	PRON
fcis-7575	142	3	have	have	AUX
fcis-7575	142	4	been	be	AUX
fcis-7575	142	5	some	some	DET
fcis-7575	142	6	promising	promising	ADJ
fcis-7575	142	7	results	result	NOUN
fcis-7575	142	8	in	in	ADP
fcis-7575	142	9	this	this	DET
fcis-7575	142	10	area	area	NOUN
fcis-7575	142	11	,	,	PUNCT
fcis-7575	142	12	such	such	ADJ
fcis-7575	142	13	as	as	ADP
fcis-7575	142	14	the	the	DET
fcis-7575	142	15	identification	identification	NOUN
fcis-7575	142	16	of	of	ADP
fcis-7575	142	17	drug	drug	NOUN
fcis-7575	142	18	combinations	combination	NOUN
fcis-7575	142	19	effective	effective	ADJ
fcis-7575	142	20	against	against	ADP
fcis-7575	142	21	specific	specific	ADJ
fcis-7575	142	22	cancer	cancer	NOUN
fcis-7575	142	23	subtypes	subtype	NOUN
fcis-7575	142	24	,	,	PUNCT
fcis-7575	142	25	there	there	PRON
fcis-7575	142	26	is	be	VERB
fcis-7575	142	27	still	still	ADV
fcis-7575	142	28	much	much	ADJ
fcis-7575	142	29	work	work	NOUN
fcis-7575	142	30	to	to	PART
fcis-7575	142	31	be	be	AUX
fcis-7575	142	32	done	do	VERB
fcis-7575	142	33	to	to	PART
fcis-7575	142	34	improve	improve	VERB
fcis-7575	142	35	the	the	DET
fcis-7575	142	36	accuracy	accuracy	NOUN
fcis-7575	142	37	and	and	CCONJ
fcis-7575	142	38	robustness	robustness	NOUN
fcis-7575	142	39	of	of	ADP
fcis-7575	142	40	these	these	DET
fcis-7575	142	41	models	model	NOUN
fcis-7575	142	42	.	.	PUNCT
fcis-7575	143	1	additionally	additionally	ADV
fcis-7575	143	2	,	,	PUNCT
fcis-7575	143	3	more	more	ADJ
fcis-7575	143	4	research	research	NOUN
fcis-7575	143	5	is	be	AUX
fcis-7575	143	6	needed	need	VERB
fcis-7575	143	7	to	to	PART
fcis-7575	143	8	better	well	ADV
fcis-7575	143	9	understand	understand	VERB
fcis-7575	143	10	the	the	DET
fcis-7575	143	11	biological	biological	ADJ
fcis-7575	143	12	mechanisms	mechanism	NOUN
fcis-7575	143	13	underlying	underlie	VERB
fcis-7575	143	14	drug	drug	NOUN
fcis-7575	143	15	interactions	interaction	NOUN
fcis-7575	143	16	,	,	PUNCT
fcis-7575	143	17	which	which	PRON
fcis-7575	143	18	could	could	AUX
fcis-7575	143	19	help	help	VERB
fcis-7575	143	20	to	to	PART
fcis-7575	143	21	guide	guide	VERB
fcis-7575	143	22	the	the	DET
fcis-7575	143	23	development	development	NOUN
fcis-7575	143	24	of	of	ADP
fcis-7575	143	25	more	more	ADV
fcis-7575	143	26	effective	effective	ADJ
fcis-7575	143	27	drug	drug	NOUN
fcis-7575	143	28	combinations	combination	NOUN
fcis-7575	143	29	.	.	PUNCT
fcis-7575	144	1	overall	overall	ADV
fcis-7575	144	2	,	,	PUNCT
fcis-7575	144	3	the	the	DET
fcis-7575	144	4	future	future	NOUN
fcis-7575	144	5	of	of	ADP
fcis-7575	144	6	deep	deep	ADJ
fcis-7575	144	7	learning	learning	NOUN
fcis-7575	144	8	in	in	ADP
fcis-7575	144	9	drug	drug	NOUN
fcis-7575	144	10	discovery	discovery	NOUN
fcis-7575	144	11	is	be	AUX
fcis-7575	144	12	bright	bright	ADJ
fcis-7575	144	13	,	,	PUNCT
fcis-7575	144	14	with	with	ADP
fcis-7575	144	15	many	many	ADJ
fcis-7575	144	16	exciting	exciting	ADJ
fcis-7575	144	17	opportunities	opportunity	NOUN
fcis-7575	144	18	for	for	ADP
fcis-7575	144	19	research	research	NOUN
fcis-7575	144	20	and	and	CCONJ
fcis-7575	144	21	development	development	NOUN
fcis-7575	144	22	.	.	PUNCT
fcis-7575	145	1	however	however	ADV
fcis-7575	145	2	,	,	PUNCT
fcis-7575	145	3	it	it	PRON
fcis-7575	145	4	is	be	AUX
fcis-7575	145	5	important	important	ADJ
fcis-7575	145	6	to	to	PART
fcis-7575	145	7	recognize	recognize	VERB
fcis-7575	145	8	that	that	SCONJ
fcis-7575	145	9	there	there	PRON
fcis-7575	145	10	are	be	VERB
fcis-7575	145	11	also	also	ADV
fcis-7575	145	12	significant	significant	ADJ
fcis-7575	145	13	challenges	challenge	NOUN
fcis-7575	145	14	and	and	CCONJ
fcis-7575	145	15	limitations	limitation	NOUN
fcis-7575	145	16	associated	associate	VERB
fcis-7575	145	17	with	with	ADP
fcis-7575	145	18	the	the	DET
fcis-7575	145	19	use	use	NOUN
fcis-7575	145	20	of	of	ADP
fcis-7575	145	21	these	these	DET
fcis-7575	145	22	techniques	technique	NOUN
fcis-7575	145	23	,	,	PUNCT
fcis-7575	145	24	including	include	VERB
fcis-7575	145	25	the	the	DET
fcis-7575	145	26	need	need	NOUN
fcis-7575	145	27	for	for	ADP
fcis-7575	145	28	highquality	highquality	NOUN
fcis-7575	145	29	training	training	NOUN
fcis-7575	145	30	data	datum	NOUN
fcis-7575	145	31	,	,	PUNCT
fcis-7575	145	32	the	the	DET
fcis-7575	145	33	risk	risk	NOUN
fcis-7575	145	34	of	of	ADP
fcis-7575	145	35	overfitting	overfitting	NOUN
fcis-7575	145	36	and	and	CCONJ
fcis-7575	145	37	generalization	generalization	NOUN
fcis-7575	145	38	issues	issue	NOUN
fcis-7575	145	39	,	,	PUNCT
fcis-7575	145	40	and	and	CCONJ
fcis-7575	145	41	the	the	DET
fcis-7575	145	42	interpretability	interpretability	NOUN
fcis-7575	145	43	and	and	CCONJ
fcis-7575	145	44	explainability	explainability	NOUN
fcis-7575	145	45	of	of	ADP
fcis-7575	145	46	deep	deep	ADJ
fcis-7575	145	47	learning	learning	NOUN
fcis-7575	145	48	models	model	NOUN
fcis-7575	145	49	.	.	PUNCT
fcis-7575	146	1	addressing	address	VERB
fcis-7575	146	2	these	these	DET
fcis-7575	146	3	challenges	challenge	NOUN
fcis-7575	146	4	will	will	AUX
fcis-7575	146	5	require	require	VERB
fcis-7575	146	6	continued	continued	ADJ
fcis-7575	146	7	research	research	NOUN
fcis-7575	146	8	and	and	CCONJ
fcis-7575	146	9	development	development	NOUN
fcis-7575	146	10	in	in	ADP
fcis-7575	146	11	a	a	DET
fcis-7575	146	12	variety	variety	NOUN
fcis-7575	146	13	of	of	ADP
fcis-7575	146	14	areas	area	NOUN
fcis-7575	146	15	,	,	PUNCT
fcis-7575	146	16	including	include	VERB
fcis-7575	146	17	machine	machine	NOUN
fcis-7575	146	18	learning	learning	NOUN
fcis-7575	146	19	algorithms	algorithm	NOUN
fcis-7575	146	20	,	,	PUNCT
fcis-7575	146	21	data	datum	NOUN
fcis-7575	146	22	collection	collection	NOUN
fcis-7575	146	23	and	and	CCONJ
fcis-7575	146	24	curation	curation	NOUN
fcis-7575	146	25	,	,	PUNCT
fcis-7575	146	26	and	and	CCONJ
fcis-7575	146	27	biological	biological	ADJ
fcis-7575	146	28	understanding	understanding	NOUN
fcis-7575	146	29	.	.	PUNCT
fcis-7575	147	1	nonetheless	nonetheless	ADV
fcis-7575	147	2	,	,	PUNCT
fcis-7575	147	3	with	with	ADP
fcis-7575	147	4	the	the	DET
fcis-7575	147	5	right	right	ADJ
fcis-7575	147	6	approach	approach	NOUN
fcis-7575	147	7	and	and	CCONJ
fcis-7575	147	8	continued	continued	ADJ
fcis-7575	147	9	investment	investment	NOUN
fcis-7575	147	10	,	,	PUNCT
fcis-7575	147	11	deep	deep	ADJ
fcis-7575	147	12	learning	learning	NOUN
fcis-7575	147	13	has	have	VERB
fcis-7575	147	14	the	the	DET
fcis-7575	147	15	potential	potential	NOUN
fcis-7575	147	16	to	to	PART
fcis-7575	147	17	revolutionize	revolutionize	VERB
fcis-7575	147	18	the	the	DET
fcis-7575	147	19	drug	drug	NOUN
fcis-7575	147	20	discovery	discovery	NOUN
fcis-7575	147	21	process	process	NOUN
fcis-7575	147	22	and	and	CCONJ
fcis-7575	147	23	help	help	VERB
fcis-7575	147	24	bring	bring	VERB
fcis-7575	147	25	new	new	ADJ
fcis-7575	147	26	treatments	treatment	NOUN
fcis-7575	147	27	to	to	ADP
fcis-7575	147	28	patients	patient	NOUN
fcis-7575	147	29	in	in	ADP
fcis-7575	147	30	need	need	NOUN
fcis-7575	147	31	.	.	PUNCT
fcis-7575	148	1	in	in	ADP
fcis-7575	148	2	summary	summary	NOUN
fcis-7575	148	3	,	,	PUNCT
fcis-7575	148	4	this	this	DET
fcis-7575	148	5	review	review	NOUN
fcis-7575	148	6	has	have	AUX
fcis-7575	148	7	highlighted	highlight	VERB
fcis-7575	148	8	the	the	DET
fcis-7575	148	9	potential	potential	ADJ
fcis-7575	148	10	benefits	benefit	NOUN
fcis-7575	148	11	and	and	CCONJ
fcis-7575	148	12	challenges	challenge	NOUN
fcis-7575	148	13	associated	associate	VERB
fcis-7575	148	14	with	with	ADP
fcis-7575	148	15	the	the	DET
fcis-7575	148	16	use	use	NOUN
fcis-7575	148	17	of	of	ADP
fcis-7575	148	18	deep	deep	ADJ
fcis-7575	148	19	learning	learning	NOUN
fcis-7575	148	20	in	in	ADP
fcis-7575	148	21	drug	drug	NOUN
fcis-7575	148	22	discovery	discovery	NOUN
fcis-7575	148	23	.	.	PUNCT
fcis-7575	149	1	while	while	SCONJ
fcis-7575	149	2	there	there	PRON
fcis-7575	149	3	is	be	VERB
fcis-7575	149	4	significant	significant	ADJ
fcis-7575	149	5	promise	promise	NOUN
fcis-7575	149	6	in	in	ADP
fcis-7575	149	7	this	this	DET
fcis-7575	149	8	field	field	NOUN
fcis-7575	149	9	,	,	PUNCT
fcis-7575	149	10	it	it	PRON
fcis-7575	149	11	is	be	AUX
fcis-7575	149	12	important	important	ADJ
fcis-7575	149	13	to	to	PART
fcis-7575	149	14	recognize	recognize	VERB
fcis-7575	149	15	the	the	DET
fcis-7575	149	16	limitations	limitation	NOUN
fcis-7575	149	17	and	and	CCONJ
fcis-7575	149	18	challenges	challenge	NOUN
fcis-7575	149	19	associated	associate	VERB
fcis-7575	149	20	with	with	ADP
fcis-7575	149	21	the	the	DET
fcis-7575	149	22	use	use	NOUN
fcis-7575	149	23	of	of	ADP
fcis-7575	149	24	these	these	DET
fcis-7575	149	25	techniques	technique	NOUN
fcis-7575	149	26	.	.	PUNCT
fcis-7575	150	1	by	by	ADP
fcis-7575	150	2	addressing	address	VERB
fcis-7575	150	3	these	these	DET
fcis-7575	150	4	challenges	challenge	NOUN
fcis-7575	150	5	and	and	CCONJ
fcis-7575	150	6	continuing	continue	VERB
fcis-7575	150	7	to	to	PART
fcis-7575	150	8	push	push	VERB
fcis-7575	150	9	the	the	DET
fcis-7575	150	10	boundaries	boundary	NOUN
fcis-7575	150	11	of	of	ADP
fcis-7575	150	12	deep	deep	ADJ
fcis-7575	150	13	learning	learning	NOUN
fcis-7575	150	14	research	research	NOUN
fcis-7575	150	15	,	,	PUNCT
fcis-7575	150	16	we	we	PRON
fcis-7575	150	17	can	can	AUX
fcis-7575	150	18	unlock	unlock	VERB
fcis-7575	150	19	the	the	DET
fcis-7575	150	20	full	full	ADJ
fcis-7575	150	21	potential	potential	NOUN
fcis-7575	150	22	of	of	ADP
fcis-7575	150	23	these	these	DET
fcis-7575	150	24	techniques	technique	NOUN
fcis-7575	150	25	and	and	CCONJ
fcis-7575	150	26	help	help	VERB
fcis-7575	150	27	to	to	PART
fcis-7575	150	28	accelerate	accelerate	VERB
fcis-7575	150	29	the	the	DET
fcis-7575	150	30	drug	drug	NOUN
fcis-7575	150	31	discovery	discovery	NOUN
fcis-7575	150	32	process	process	NOUN
fcis-7575	150	33	.	.	PUNCT
fcis-7575	151	1	6	6	NUM
fcis-7575	151	2	.	.	X
fcis-7575	151	3	discussion	discussion	NOUN
fcis-7575	151	4	and	and	CCONJ
fcis-7575	151	5	conclusions	conclusion	NOUN
fcis-7575	151	6	in	in	ADP
fcis-7575	151	7	conclusion	conclusion	NOUN
fcis-7575	151	8	,	,	PUNCT
fcis-7575	151	9	this	this	DET
fcis-7575	151	10	review	review	NOUN
fcis-7575	151	11	highlights	highlight	VERB
fcis-7575	151	12	the	the	DET
fcis-7575	151	13	potential	potential	NOUN
fcis-7575	151	14	of	of	ADP
fcis-7575	151	15	deep	deep	ADJ
fcis-7575	151	16	learning	learning	NOUN
fcis-7575	151	17	in	in	ADP
fcis-7575	151	18	revolutionizing	revolutionize	VERB
fcis-7575	151	19	the	the	DET
fcis-7575	151	20	drug	drug	NOUN
fcis-7575	151	21	discovery	discovery	NOUN
fcis-7575	151	22	process	process	NOUN
fcis-7575	151	23	.	.	PUNCT
fcis-7575	152	1	the	the	DET
fcis-7575	152	2	use	use	NOUN
fcis-7575	152	3	of	of	ADP
fcis-7575	152	4	deep	deep	ADJ
fcis-7575	152	5	learning	learning	NOUN
fcis-7575	152	6	algorithms	algorithm	NOUN
fcis-7575	152	7	has	have	AUX
fcis-7575	152	8	shown	show	VERB
fcis-7575	152	9	promise	promise	NOUN
fcis-7575	152	10	in	in	ADP
fcis-7575	152	11	accelerating	accelerate	VERB
fcis-7575	152	12	drug	drug	NOUN
fcis-7575	152	13	discovery	discovery	NOUN
fcis-7575	152	14	by	by	ADP
fcis-7575	152	15	identifying	identify	VERB
fcis-7575	152	16	potential	potential	ADJ
fcis-7575	152	17	drug	drug	NOUN
fcis-7575	152	18	candidates	candidate	NOUN
fcis-7575	152	19	and	and	CCONJ
fcis-7575	152	20	predicting	predict	VERB
fcis-7575	152	21	their	their	PRON
fcis-7575	152	22	efficacy	efficacy	NOUN
fcis-7575	152	23	.	.	PUNCT
fcis-7575	153	1	it	it	PRON
fcis-7575	153	2	has	have	AUX
fcis-7575	153	3	also	also	ADV
fcis-7575	153	4	been	be	AUX
fcis-7575	153	5	demonstrated	demonstrate	VERB
fcis-7575	153	6	that	that	SCONJ
fcis-7575	153	7	deep	deep	ADJ
fcis-7575	153	8	learning	learning	NOUN
fcis-7575	153	9	can	can	AUX
fcis-7575	153	10	be	be	AUX
fcis-7575	153	11	used	use	VERB
fcis-7575	153	12	to	to	PART
fcis-7575	153	13	design	design	VERB
fcis-7575	153	14	new	new	ADJ
fcis-7575	153	15	molecules	molecule	NOUN
fcis-7575	153	16	,	,	PUNCT
fcis-7575	153	17	identify	identify	VERB
fcis-7575	153	18	drug	drug	NOUN
fcis-7575	153	19	combinations	combination	NOUN
fcis-7575	153	20	,	,	PUNCT
fcis-7575	153	21	and	and	CCONJ
fcis-7575	153	22	reduce	reduce	VERB
fcis-7575	153	23	the	the	DET
fcis-7575	153	24	cost	cost	NOUN
fcis-7575	153	25	and	and	CCONJ
fcis-7575	153	26	time	time	NOUN
fcis-7575	153	27	required	require	VERB
fcis-7575	153	28	to	to	PART
fcis-7575	153	29	bring	bring	VERB
fcis-7575	153	30	drugs	drug	NOUN
fcis-7575	153	31	to	to	ADP
fcis-7575	153	32	market	market	NOUN
fcis-7575	153	33	.	.	PUNCT
fcis-7575	154	1	however	however	ADV
fcis-7575	154	2	,	,	PUNCT
fcis-7575	154	3	there	there	PRON
fcis-7575	154	4	are	be	VERB
fcis-7575	154	5	also	also	ADV
fcis-7575	154	6	limitations	limitation	NOUN
fcis-7575	154	7	and	and	CCONJ
fcis-7575	154	8	challenges	challenge	NOUN
fcis-7575	154	9	associated	associate	VERB
fcis-7575	154	10	with	with	ADP
fcis-7575	154	11	the	the	DET
fcis-7575	154	12	use	use	NOUN
fcis-7575	154	13	of	of	ADP
fcis-7575	154	14	deep	deep	ADJ
fcis-7575	154	15	learning	learning	NOUN
fcis-7575	154	16	in	in	ADP
fcis-7575	154	17	drug	drug	NOUN
fcis-7575	154	18	discovery	discovery	NOUN
fcis-7575	154	19	,	,	PUNCT
fcis-7575	154	20	including	include	VERB
fcis-7575	154	21	the	the	DET
fcis-7575	154	22	need	need	NOUN
fcis-7575	154	23	for	for	ADP
fcis-7575	154	24	highquality	highquality	NOUN
fcis-7575	154	25	training	training	NOUN
fcis-7575	154	26	data	datum	NOUN
fcis-7575	154	27	,	,	PUNCT
fcis-7575	154	28	the	the	DET
fcis-7575	154	29	risk	risk	NOUN
fcis-7575	154	30	of	of	ADP
fcis-7575	154	31	overfitting	overfitte	VERB
fcis-7575	154	32	,	,	PUNCT
fcis-7575	154	33	and	and	CCONJ
fcis-7575	154	34	the	the	DET
fcis-7575	154	35	lack	lack	NOUN
fcis-7575	154	36	of	of	ADP
fcis-7575	154	37	interpretability	interpretability	NOUN
fcis-7575	154	38	and	and	CCONJ
fcis-7575	154	39	explain	explain	VERB
fcis-7575	154	40	ability	ability	NOUN
fcis-7575	154	41	of	of	ADP
fcis-7575	154	42	deep	deep	ADJ
fcis-7575	154	43	learning	learning	NOUN
fcis-7575	154	44	models	model	NOUN
fcis-7575	154	45	.	.	PUNCT
fcis-7575	155	1	to	to	PART
fcis-7575	155	2	address	address	VERB
fcis-7575	155	3	these	these	DET
fcis-7575	155	4	challenges	challenge	NOUN
fcis-7575	155	5	,	,	PUNCT
fcis-7575	155	6	future	future	ADJ
fcis-7575	155	7	research	research	NOUN
fcis-7575	155	8	efforts	effort	NOUN
fcis-7575	155	9	should	should	AUX
fcis-7575	155	10	focus	focus	VERB
fcis-7575	155	11	on	on	ADP
fcis-7575	155	12	developing	develop	VERB
fcis-7575	155	13	new	new	ADJ
fcis-7575	155	14	methods	method	NOUN
fcis-7575	155	15	for	for	ADP
fcis-7575	155	16	data	data	NOUN
fcis-7575	155	17	generation	generation	NOUN
fcis-7575	155	18	and	and	CCONJ
fcis-7575	155	19	curation	curation	NOUN
fcis-7575	155	20	to	to	PART
fcis-7575	155	21	improve	improve	VERB
fcis-7575	155	22	the	the	DET
fcis-7575	155	23	quality	quality	NOUN
fcis-7575	155	24	of	of	ADP
fcis-7575	155	25	training	training	NOUN
fcis-7575	155	26	data	datum	NOUN
fcis-7575	155	27	,	,	PUNCT
fcis-7575	155	28	as	as	ADV
fcis-7575	155	29	well	well	ADV
fcis-7575	155	30	as	as	ADP
fcis-7575	155	31	developing	develop	VERB
fcis-7575	155	32	new	new	ADJ
fcis-7575	155	33	deep	deep	ADJ
fcis-7575	155	34	learning	learning	NOUN
fcis-7575	155	35	models	model	NOUN
fcis-7575	155	36	that	that	PRON
fcis-7575	155	37	are	be	AUX
fcis-7575	155	38	less	less	ADV
fcis-7575	155	39	susceptible	susceptible	ADJ
fcis-7575	155	40	to	to	ADP
fcis-7575	155	41	overfitting	overfitte	VERB
fcis-7575	155	42	and	and	CCONJ
fcis-7575	155	43	more	more	ADV
fcis-7575	155	44	interpretable	interpretable	ADJ
fcis-7575	155	45	.	.	PUNCT
fcis-7575	156	1	additionally	additionally	ADV
fcis-7575	156	2	,	,	PUNCT
fcis-7575	156	3	efforts	effort	NOUN
fcis-7575	156	4	122	122	NUM
fcis-7575	156	5	should	should	AUX
fcis-7575	156	6	be	be	AUX
fcis-7575	156	7	made	make	VERB
fcis-7575	156	8	to	to	PART
fcis-7575	156	9	increase	increase	VERB
fcis-7575	156	10	the	the	DET
fcis-7575	156	11	transparency	transparency	NOUN
fcis-7575	156	12	and	and	CCONJ
fcis-7575	156	13	accountability	accountability	NOUN
fcis-7575	156	14	of	of	ADP
fcis-7575	156	15	deep	deep	ADJ
fcis-7575	156	16	learning	learning	NOUN
fcis-7575	156	17	models	model	NOUN
fcis-7575	156	18	to	to	PART
fcis-7575	156	19	ensure	ensure	VERB
fcis-7575	156	20	that	that	SCONJ
fcis-7575	156	21	their	their	PRON
fcis-7575	156	22	predictions	prediction	NOUN
fcis-7575	156	23	are	be	AUX
fcis-7575	156	24	reliable	reliable	ADJ
fcis-7575	156	25	and	and	CCONJ
fcis-7575	156	26	ethical	ethical	ADJ
fcis-7575	156	27	.	.	PUNCT
fcis-7575	157	1	furthermore	furthermore	ADV
fcis-7575	157	2	,	,	PUNCT
fcis-7575	157	3	the	the	DET
fcis-7575	157	4	development	development	NOUN
fcis-7575	157	5	of	of	ADP
fcis-7575	157	6	collaborative	collaborative	ADJ
fcis-7575	157	7	research	research	NOUN
fcis-7575	157	8	frameworks	framework	NOUN
fcis-7575	157	9	,	,	PUNCT
fcis-7575	157	10	involving	involve	VERB
fcis-7575	157	11	multiple	multiple	ADJ
fcis-7575	157	12	stakeholders	stakeholder	NOUN
fcis-7575	157	13	such	such	ADJ
fcis-7575	157	14	as	as	ADP
fcis-7575	157	15	academic	academic	ADJ
fcis-7575	157	16	researchers	researcher	NOUN
fcis-7575	157	17	,	,	PUNCT
fcis-7575	157	18	pharmaceutical	pharmaceutical	ADJ
fcis-7575	157	19	companies	company	NOUN
fcis-7575	157	20	,	,	PUNCT
fcis-7575	157	21	and	and	CCONJ
fcis-7575	157	22	regulatory	regulatory	ADJ
fcis-7575	157	23	agencies	agency	NOUN
fcis-7575	157	24	,	,	PUNCT
fcis-7575	157	25	could	could	AUX
fcis-7575	157	26	help	help	VERB
fcis-7575	157	27	to	to	PART
fcis-7575	157	28	facilitate	facilitate	VERB
fcis-7575	157	29	the	the	DET
fcis-7575	157	30	integration	integration	NOUN
fcis-7575	157	31	of	of	ADP
fcis-7575	157	32	deep	deep	ADJ
fcis-7575	157	33	learning	learning	NOUN
fcis-7575	157	34	into	into	ADP
fcis-7575	157	35	the	the	DET
fcis-7575	157	36	drug	drug	NOUN
fcis-7575	157	37	discovery	discovery	NOUN
fcis-7575	157	38	process	process	NOUN
fcis-7575	157	39	.	.	PUNCT
fcis-7575	158	1	the	the	DET
fcis-7575	158	2	implications	implication	NOUN
fcis-7575	158	3	of	of	ADP
fcis-7575	158	4	this	this	DET
fcis-7575	158	5	review	review	NOUN
fcis-7575	158	6	for	for	ADP
fcis-7575	158	7	the	the	DET
fcis-7575	158	8	future	future	NOUN
fcis-7575	158	9	of	of	ADP
fcis-7575	158	10	drug	drug	NOUN
fcis-7575	158	11	discovery	discovery	NOUN
fcis-7575	158	12	are	be	AUX
fcis-7575	158	13	significant	significant	ADJ
fcis-7575	158	14	.	.	PUNCT
fcis-7575	159	1	the	the	DET
fcis-7575	159	2	use	use	NOUN
fcis-7575	159	3	of	of	ADP
fcis-7575	159	4	deep	deep	ADJ
fcis-7575	159	5	learning	learning	NOUN
fcis-7575	159	6	has	have	VERB
fcis-7575	159	7	the	the	DET
fcis-7575	159	8	potential	potential	NOUN
fcis-7575	159	9	to	to	PART
fcis-7575	159	10	accelerate	accelerate	VERB
fcis-7575	159	11	drug	drug	NOUN
fcis-7575	159	12	discovery	discovery	NOUN
fcis-7575	159	13	and	and	CCONJ
fcis-7575	159	14	reduce	reduce	VERB
fcis-7575	159	15	the	the	DET
fcis-7575	159	16	cost	cost	NOUN
fcis-7575	159	17	and	and	CCONJ
fcis-7575	159	18	time	time	NOUN
fcis-7575	159	19	required	require	VERB
fcis-7575	159	20	to	to	PART
fcis-7575	159	21	bring	bring	VERB
fcis-7575	159	22	drugs	drug	NOUN
fcis-7575	159	23	to	to	ADP
fcis-7575	159	24	market	market	NOUN
fcis-7575	159	25	,	,	PUNCT
fcis-7575	159	26	leading	lead	VERB
fcis-7575	159	27	to	to	ADP
fcis-7575	159	28	increased	increase	VERB
fcis-7575	159	29	access	access	NOUN
fcis-7575	159	30	to	to	ADP
fcis-7575	159	31	novel	novel	ADJ
fcis-7575	159	32	therapies	therapy	NOUN
fcis-7575	159	33	for	for	ADP
fcis-7575	159	34	patients	patient	NOUN
fcis-7575	159	35	.	.	PUNCT
fcis-7575	160	1	furthermore	furthermore	ADV
fcis-7575	160	2	,	,	PUNCT
fcis-7575	160	3	the	the	DET
fcis-7575	160	4	integration	integration	NOUN
fcis-7575	160	5	of	of	ADP
fcis-7575	160	6	deep	deep	ADJ
fcis-7575	160	7	learning	learning	NOUN
fcis-7575	160	8	into	into	ADP
fcis-7575	160	9	drug	drug	NOUN
fcis-7575	160	10	discovery	discovery	NOUN
fcis-7575	160	11	could	could	AUX
fcis-7575	160	12	lead	lead	VERB
fcis-7575	160	13	to	to	ADP
fcis-7575	160	14	the	the	DET
fcis-7575	160	15	development	development	NOUN
fcis-7575	160	16	of	of	ADP
fcis-7575	160	17	more	more	ADV
fcis-7575	160	18	personalized	personalized	ADJ
fcis-7575	160	19	and	and	CCONJ
fcis-7575	160	20	effective	effective	ADJ
fcis-7575	160	21	therapies	therapy	NOUN
fcis-7575	160	22	,	,	PUNCT
fcis-7575	160	23	as	as	ADV
fcis-7575	160	24	well	well	ADV
fcis-7575	160	25	as	as	ADP
fcis-7575	160	26	the	the	DET
fcis-7575	160	27	identification	identification	NOUN
fcis-7575	160	28	of	of	ADP
fcis-7575	160	29	new	new	ADJ
fcis-7575	160	30	therapeutic	therapeutic	ADJ
fcis-7575	160	31	targets	target	NOUN
fcis-7575	160	32	.	.	PUNCT
fcis-7575	161	1	in	in	ADP
fcis-7575	161	2	summary	summary	NOUN
fcis-7575	161	3	,	,	PUNCT
fcis-7575	161	4	while	while	SCONJ
fcis-7575	161	5	the	the	DET
fcis-7575	161	6	use	use	NOUN
fcis-7575	161	7	of	of	ADP
fcis-7575	161	8	deep	deep	ADJ
fcis-7575	161	9	learning	learning	NOUN
fcis-7575	161	10	in	in	ADP
fcis-7575	161	11	drug	drug	NOUN
fcis-7575	161	12	discovery	discovery	NOUN
fcis-7575	161	13	is	be	AUX
fcis-7575	161	14	still	still	ADV
fcis-7575	161	15	in	in	ADP
fcis-7575	161	16	its	its	PRON
fcis-7575	161	17	early	early	ADJ
fcis-7575	161	18	stages	stage	NOUN
fcis-7575	161	19	,	,	PUNCT
fcis-7575	161	20	the	the	DET
fcis-7575	161	21	potential	potential	ADJ
fcis-7575	161	22	benefits	benefit	NOUN
fcis-7575	161	23	are	be	AUX
fcis-7575	161	24	substantial	substantial	ADJ
fcis-7575	161	25	.	.	PUNCT
fcis-7575	162	1	with	with	ADP
fcis-7575	162	2	continued	continued	ADJ
fcis-7575	162	3	research	research	NOUN
fcis-7575	162	4	and	and	CCONJ
fcis-7575	162	5	development	development	NOUN
fcis-7575	162	6	,	,	PUNCT
fcis-7575	162	7	the	the	DET
fcis-7575	162	8	use	use	NOUN
fcis-7575	162	9	of	of	ADP
fcis-7575	162	10	deep	deep	ADJ
fcis-7575	162	11	learning	learning	NOUN
fcis-7575	162	12	in	in	ADP
fcis-7575	162	13	drug	drug	NOUN
fcis-7575	162	14	discovery	discovery	NOUN
fcis-7575	162	15	could	could	AUX
fcis-7575	162	16	revolutionize	revolutionize	VERB
fcis-7575	162	17	the	the	DET
fcis-7575	162	18	way	way	NOUN
fcis-7575	162	19	in	in	ADP
fcis-7575	162	20	which	which	PRON
fcis-7575	162	21	new	new	ADJ
fcis-7575	162	22	drugs	drug	NOUN
fcis-7575	162	23	are	be	AUX
fcis-7575	162	24	discovered	discover	VERB
fcis-7575	162	25	and	and	CCONJ
fcis-7575	162	26	developed	develop	VERB
fcis-7575	162	27	,	,	PUNCT
fcis-7575	162	28	ultimately	ultimately	ADV
fcis-7575	162	29	leading	lead	VERB
fcis-7575	162	30	to	to	ADP
fcis-7575	162	31	improved	improved	ADJ
fcis-7575	162	32	patient	patient	ADJ
fcis-7575	162	33	outcomes	outcome	NOUN
fcis-7575	162	34	and	and	CCONJ
fcis-7575	162	35	public	public	ADJ
fcis-7575	162	36	health	health	NOUN
fcis-7575	162	37	.	.	PUNCT
fcis-7575	163	1	references	reference	NOUN
fcis-7575	163	2	[	[	X
fcis-7575	163	3	1	1	NUM
fcis-7575	163	4	]	]	X
fcis-7575	163	5	chen	chen	PROPN
fcis-7575	163	6	,	,	PUNCT
fcis-7575	163	7	h.	h.	PROPN
fcis-7575	163	8	,	,	PUNCT
fcis-7575	163	9	engkvist	engkvist	NOUN
fcis-7575	163	10	,	,	PUNCT
fcis-7575	163	11	o.	o.	PROPN
fcis-7575	163	12	,	,	PUNCT
fcis-7575	163	13	wang	wang	PROPN
fcis-7575	163	14	,	,	PUNCT
fcis-7575	163	15	y.	y.	PROPN
fcis-7575	163	16	,	,	PUNCT
fcis-7575	163	17	olivecrona	olivecrona	ADJ
fcis-7575	163	18	,	,	PUNCT
fcis-7575	163	19	m.	m.	NOUN
fcis-7575	163	20	,	,	PUNCT
fcis-7575	163	21	&	&	CCONJ
fcis-7575	163	22	blaschke	blaschke	PROPN
fcis-7575	163	23	,	,	PUNCT
fcis-7575	163	24	t.	t.	PROPN
fcis-7575	163	25	(	(	PUNCT
fcis-7575	163	26	2018	2018	NUM
fcis-7575	163	27	)	)	PUNCT
fcis-7575	163	28	.	.	PUNCT
fcis-7575	164	1	the	the	DET
fcis-7575	164	2	rise	rise	NOUN
fcis-7575	164	3	of	of	ADP
fcis-7575	164	4	deep	deep	ADJ
fcis-7575	164	5	learning	learning	NOUN
fcis-7575	164	6	in	in	ADP
fcis-7575	164	7	drug	drug	NOUN
fcis-7575	164	8	discovery	discovery	NOUN
fcis-7575	164	9	.	.	PUNCT
fcis-7575	165	1	drug	drug	NOUN
fcis-7575	165	2	discovery	discovery	PROPN
fcis-7575	165	3	today	today	NOUN
fcis-7575	165	4	,	,	PUNCT
fcis-7575	165	5	23(6	23(6	NUM
fcis-7575	165	6	)	)	PUNCT
fcis-7575	165	7	,	,	PUNCT
fcis-7575	165	8	1241	1241	NUM
fcis-7575	165	9	-	-	SYM
fcis-7575	165	10	1250	1250	NUM
fcis-7575	165	11	.	.	PUNCT
fcis-7575	166	1	[	[	X
fcis-7575	166	2	2	2	NUM
fcis-7575	166	3	]	]	X
fcis-7575	166	4	lipinski	lipinski	PROPN
fcis-7575	166	5	,	,	PUNCT
fcis-7575	166	6	c.	c.	PROPN
fcis-7575	166	7	a.	a.	PROPN
fcis-7575	166	8	,	,	PUNCT
fcis-7575	166	9	lombardo	lombardo	PROPN
fcis-7575	166	10	,	,	PUNCT
fcis-7575	166	11	f.	f.	PROPN
fcis-7575	166	12	,	,	PUNCT
fcis-7575	166	13	dominy	dominy	PROPN
fcis-7575	166	14	,	,	PUNCT
fcis-7575	166	15	b.	b.	PROPN
fcis-7575	166	16	w.	w.	PROPN
fcis-7575	166	17	,	,	PUNCT
fcis-7575	166	18	&	&	CCONJ
fcis-7575	166	19	feeney	feeney	PROPN
fcis-7575	166	20	,	,	PUNCT
fcis-7575	166	21	p.	p.	PROPN
fcis-7575	166	22	j.	j.	PROPN
fcis-7575	166	23	(	(	PUNCT
fcis-7575	166	24	2012	2012	NUM
fcis-7575	166	25	)	)	PUNCT
fcis-7575	166	26	.	.	PUNCT
fcis-7575	167	1	experimental	experimental	ADJ
fcis-7575	167	2	and	and	CCONJ
fcis-7575	167	3	computational	computational	ADJ
fcis-7575	167	4	approaches	approach	NOUN
fcis-7575	167	5	to	to	PART
fcis-7575	167	6	estimate	estimate	VERB
fcis-7575	167	7	solubility	solubility	NOUN
fcis-7575	167	8	and	and	CCONJ
fcis-7575	167	9	permeability	permeability	NOUN
fcis-7575	167	10	in	in	ADP
fcis-7575	167	11	drug	drug	NOUN
fcis-7575	167	12	discovery	discovery	NOUN
fcis-7575	167	13	and	and	CCONJ
fcis-7575	167	14	development	development	NOUN
fcis-7575	167	15	settings	setting	NOUN
fcis-7575	167	16	.	.	PUNCT
fcis-7575	168	1	advanced	advanced	ADJ
fcis-7575	168	2	drug	drug	NOUN
fcis-7575	168	3	delivery	delivery	NOUN
fcis-7575	168	4	reviews	review	NOUN
fcis-7575	168	5	,	,	PUNCT
fcis-7575	168	6	64	64	NUM
fcis-7575	168	7	,	,	PUNCT
fcis-7575	168	8	417	417	NUM
fcis-7575	168	9	.	.	PUNCT
fcis-7575	169	1	[	[	X
fcis-7575	169	2	3	3	NUM
fcis-7575	169	3	]	]	X
fcis-7575	169	4	paul	paul	PROPN
fcis-7575	169	5	,	,	PUNCT
fcis-7575	169	6	s.	s.	PROPN
fcis-7575	169	7	m.	m.	PROPN
fcis-7575	169	8	,	,	PUNCT
fcis-7575	169	9	mytelka	mytelka	PROPN
fcis-7575	169	10	,	,	PUNCT
fcis-7575	169	11	d.	d.	PROPN
fcis-7575	169	12	s.	s.	PROPN
fcis-7575	169	13	,	,	PUNCT
fcis-7575	169	14	dunwiddie	dunwiddie	PROPN
fcis-7575	169	15	,	,	PUNCT
fcis-7575	169	16	c.	c.	PROPN
fcis-7575	169	17	t.	t.	PROPN
fcis-7575	169	18	,	,	PUNCT
fcis-7575	169	19	persinger	persinger	NOUN
fcis-7575	169	20	,	,	PUNCT
fcis-7575	169	21	c.	c.	PROPN
fcis-7575	169	22	c.	c.	PROPN
fcis-7575	169	23	,	,	PUNCT
fcis-7575	169	24	munos	munos	PROPN
fcis-7575	169	25	,	,	PUNCT
fcis-7575	169	26	b.	b.	PROPN
fcis-7575	169	27	h.	h.	PROPN
fcis-7575	169	28	,	,	PUNCT
fcis-7575	169	29	lindborg	lindborg	PROPN
fcis-7575	169	30	,	,	PUNCT
fcis-7575	169	31	s.	s.	PROPN
fcis-7575	169	32	r.	r.	PROPN
fcis-7575	169	33	,	,	PUNCT
fcis-7575	169	34	&	&	CCONJ
fcis-7575	169	35	schacht	schacht	PROPN
fcis-7575	169	36	,	,	PUNCT
fcis-7575	169	37	a.	a.	PROPN
fcis-7575	169	38	l.	l.	PROPN
fcis-7575	169	39	(	(	PUNCT
fcis-7575	169	40	2010	2010	NUM
fcis-7575	169	41	)	)	PUNCT
fcis-7575	169	42	.	.	PUNCT
fcis-7575	170	1	how	how	SCONJ
fcis-7575	170	2	to	to	PART
fcis-7575	170	3	improve	improve	VERB
fcis-7575	170	4	r&d	r&d	NOUN
fcis-7575	170	5	productivity	productivity	NOUN
fcis-7575	170	6	:	:	PUNCT
fcis-7575	170	7	the	the	DET
fcis-7575	170	8	pharmaceutical	pharmaceutical	NOUN
fcis-7575	170	9	industry	industry	NOUN
fcis-7575	170	10	's	's	PART
fcis-7575	170	11	grand	grand	ADJ
fcis-7575	170	12	challenge	challenge	NOUN
fcis-7575	170	13	.	.	PUNCT
fcis-7575	171	1	nature	nature	NOUN
fcis-7575	171	2	reviews	review	VERB
fcis-7575	171	3	drug	drug	NOUN
fcis-7575	171	4	discovery	discovery	NOUN
fcis-7575	171	5	,	,	PUNCT
fcis-7575	171	6	9(3	9(3	NUM
fcis-7575	171	7	)	)	PUNCT
fcis-7575	171	8	,	,	PUNCT
fcis-7575	171	9	203214	203214	NUM
fcis-7575	171	10	.	.	PUNCT
fcis-7575	172	1	[	[	X
fcis-7575	172	2	4	4	NUM
fcis-7575	172	3	]	]	SYM
fcis-7575	172	4	lecun	lecun	ADJ
fcis-7575	172	5	,	,	PUNCT
fcis-7575	172	6	y.	y.	PROPN
fcis-7575	172	7	,	,	PUNCT
fcis-7575	172	8	bengio	bengio	PROPN
fcis-7575	172	9	,	,	PUNCT
fcis-7575	172	10	y.	y.	PROPN
fcis-7575	172	11	,	,	PUNCT
fcis-7575	172	12	&	&	CCONJ
fcis-7575	172	13	hinton	hinton	PROPN
fcis-7575	172	14	,	,	PUNCT
fcis-7575	172	15	g.	g.	PROPN
fcis-7575	172	16	(	(	PUNCT
fcis-7575	172	17	2015	2015	NUM
fcis-7575	172	18	)	)	PUNCT
fcis-7575	172	19	.	.	PUNCT
fcis-7575	173	1	deep	deep	ADJ
fcis-7575	173	2	learning	learning	NOUN
fcis-7575	173	3	.	.	PUNCT
fcis-7575	174	1	nature	nature	NOUN
fcis-7575	174	2	,	,	PUNCT
fcis-7575	174	3	521(7553	521(7553	NUM
fcis-7575	174	4	)	)	PUNCT
fcis-7575	174	5	,	,	PUNCT
fcis-7575	174	6	436	436	NUM
fcis-7575	174	7	-	-	SYM
fcis-7575	174	8	444	444	NUM
fcis-7575	174	9	.	.	PUNCT
fcis-7575	175	1	[	[	X
fcis-7575	175	2	5	5	NUM
fcis-7575	175	3	]	]	SYM
fcis-7575	175	4	wu	wu	PROPN
fcis-7575	175	5	,	,	PUNCT
fcis-7575	175	6	z.	z.	PROPN
fcis-7575	175	7	,	,	PUNCT
fcis-7575	175	8	ramsundar	ramsundar	PROPN
fcis-7575	175	9	,	,	PUNCT
fcis-7575	175	10	b.	b.	PROPN
fcis-7575	175	11	,	,	PUNCT
fcis-7575	175	12	feinberg	feinberg	PROPN
fcis-7575	175	13	,	,	PUNCT
fcis-7575	175	14	e.	e.	PROPN
fcis-7575	175	15	n.	n.	PROPN
fcis-7575	175	16	,	,	PUNCT
fcis-7575	175	17	gomes	gomes	PROPN
fcis-7575	175	18	,	,	PUNCT
fcis-7575	175	19	j.	j.	PROPN
fcis-7575	175	20	,	,	PUNCT
fcis-7575	175	21	geniesse	geniesse	PROPN
fcis-7575	175	22	,	,	PUNCT
fcis-7575	175	23	c.	c.	PROPN
fcis-7575	175	24	,	,	PUNCT
fcis-7575	175	25	pappu	pappu	PROPN
fcis-7575	175	26	,	,	PUNCT
fcis-7575	175	27	a.	a.	PROPN
fcis-7575	175	28	s.	s.	PROPN
fcis-7575	175	29	,	,	PUNCT
fcis-7575	175	30	...	...	PUNCT
fcis-7575	175	31	&	&	CCONJ
fcis-7575	175	32	pande	pande	NOUN
fcis-7575	175	33	,	,	PUNCT
fcis-7575	175	34	v.	v.	CCONJ
fcis-7575	175	35	s.	s.	PROPN
fcis-7575	175	36	(	(	PUNCT
fcis-7575	175	37	2018	2018	NUM
fcis-7575	175	38	)	)	PUNCT
fcis-7575	175	39	.	.	PUNCT
fcis-7575	176	1	moleculenet	moleculenet	PROPN
fcis-7575	176	2	:	:	PUNCT
fcis-7575	176	3	a	a	DET
fcis-7575	176	4	benchmark	benchmark	NOUN
fcis-7575	176	5	for	for	ADP
fcis-7575	176	6	molecular	molecular	ADJ
fcis-7575	176	7	machine	machine	NOUN
fcis-7575	176	8	learning	learning	NOUN
fcis-7575	176	9	.	.	PUNCT
fcis-7575	177	1	chemical	chemical	NOUN
fcis-7575	177	2	science	science	PROPN
fcis-7575	177	3	,	,	PUNCT
fcis-7575	177	4	9(2	9(2	NUM
fcis-7575	177	5	)	)	PUNCT
fcis-7575	177	6	,	,	PUNCT
fcis-7575	177	7	513	513	NUM
fcis-7575	177	8	-	-	SYM
fcis-7575	177	9	530	530	NUM
fcis-7575	177	10	.	.	PUNCT
fcis-7575	178	1	[	[	X
fcis-7575	178	2	6	6	NUM
fcis-7575	178	3	]	]	SYM
fcis-7575	178	4	ma	ma	PROPN
fcis-7575	178	5	,	,	PUNCT
fcis-7575	178	6	j.	j.	PROPN
fcis-7575	178	7	,	,	PUNCT
fcis-7575	178	8	sheridan	sheridan	PROPN
fcis-7575	178	9	,	,	PUNCT
fcis-7575	178	10	r.	r.	PROPN
fcis-7575	178	11	p.	p.	PROPN
fcis-7575	178	12	,	,	PUNCT
fcis-7575	178	13	liaw	liaw	PROPN
fcis-7575	178	14	,	,	PUNCT
fcis-7575	178	15	a.	a.	NOUN
fcis-7575	178	16	,	,	PUNCT
fcis-7575	178	17	dahl	dahl	PROPN
fcis-7575	178	18	,	,	PUNCT
fcis-7575	178	19	g.	g.	PROPN
fcis-7575	178	20	e.	e.	PROPN
fcis-7575	178	21	,	,	PUNCT
fcis-7575	178	22	svetnik	svetnik	PROPN
fcis-7575	178	23	,	,	PUNCT
fcis-7575	178	24	v.	v.	ADV
fcis-7575	178	25	,	,	PUNCT
fcis-7575	178	26	&	&	CCONJ
fcis-7575	178	27	deep	deep	ADJ
fcis-7575	178	28	,	,	PUNCT
fcis-7575	178	29	j.	j.	PROPN
fcis-7575	178	30	(	(	PUNCT
fcis-7575	178	31	2015	2015	NUM
fcis-7575	178	32	)	)	PUNCT
fcis-7575	178	33	.	.	PUNCT
fcis-7575	179	1	deep	deep	ADJ
fcis-7575	179	2	neural	neural	ADJ
fcis-7575	179	3	nets	net	NOUN
fcis-7575	179	4	as	as	ADP
fcis-7575	179	5	a	a	DET
fcis-7575	179	6	method	method	NOUN
fcis-7575	179	7	for	for	ADP
fcis-7575	179	8	quantitative	quantitative	ADJ
fcis-7575	179	9	structure	structure	NOUN
fcis-7575	179	10	–	–	PUNCT
fcis-7575	179	11	activity	activity	NOUN
fcis-7575	179	12	relationships	relationship	NOUN
fcis-7575	179	13	.	.	PUNCT
fcis-7575	180	1	journal	journal	PROPN
fcis-7575	180	2	of	of	ADP
fcis-7575	180	3	chemical	chemical	ADJ
fcis-7575	180	4	information	information	NOUN
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fcis-7575	192	22	.	.	PUNCT
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fcis-7575	194	8	):	):	PUNCT
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fcis-7575	194	10	.	.	PUNCT
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fcis-7575	196	4	obstacles	obstacle	NOUN
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fcis-7575	196	25	.	.	PUNCT
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fcis-7575	197	9	,	,	PUNCT
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fcis-7575	200	10	.	.	PUNCT
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fcis-7575	202	9	-	-	SYM
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fcis-7575	202	11	.	.	PUNCT
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fcis-7575	205	12	-	-	SYM
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fcis-7575	206	22	.	.	PUNCT
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fcis-7575	211	7	-	-	SYM
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fcis-7575	211	9	.	.	PUNCT
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fcis-7575	212	3	]	]	SYM
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fcis-7575	214	7	,	,	PUNCT
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fcis-7575	214	9	)	)	PUNCT
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fcis-7575	214	12	-	-	SYM
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fcis-7575	215	19	.	.	PUNCT
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fcis-7575	216	10	.	.	PUNCT
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fcis-7575	220	9	.	.	PUNCT
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fcis-7575	222	12	.	.	PUNCT
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fcis-7575	223	2	,	,	PUNCT
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fcis-7575	224	15	.	.	PUNCT
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fcis-7575	225	9	.	.	PUNCT
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fcis-7575	226	12	.	.	PUNCT
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fcis-7575	227	15	.	.	PUNCT
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fcis-7575	229	11	-	-	SYM
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fcis-7575	229	13	.	.	PUNCT
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fcis-7575	230	3	]	]	SYM
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fcis-7575	230	9	,	,	PUNCT
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fcis-7575	232	7	-	-	SYM
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fcis-7575	232	9	.	.	PUNCT
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fcis-7575	235	5	,	,	PUNCT
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fcis-7575	235	7	)	)	PUNCT
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fcis-7575	235	10	-	-	SYM
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fcis-7575	236	30	)	)	PUNCT
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fcis-7575	239	23	.	.	PUNCT
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fcis-7575	240	5	design	design	NOUN
fcis-7575	240	6	for	for	ADP
fcis-7575	240	7	developing	develop	VERB
fcis-7575	240	8	personalized	personalized	ADJ
fcis-7575	240	9	therapy	therapy	NOUN
fcis-7575	240	10	against	against	ADP
fcis-7575	240	11	cancer	cancer	NOUN
fcis-7575	240	12	.	.	PUNCT
fcis-7575	241	1	current	current	ADJ
fcis-7575	241	2	topics	topic	NOUN
fcis-7575	241	3	in	in	ADP
fcis-7575	241	4	medicinal	medicinal	ADJ
fcis-7575	241	5	chemistry	chemistry	NOUN
fcis-7575	241	6	,	,	PUNCT
fcis-7575	241	7	19(30	19(30	NUM
fcis-7575	241	8	)	)	PUNCT
fcis-7575	241	9	,	,	PUNCT
fcis-7575	241	10	2809	2809	NUM
fcis-7575	241	11	-	-	SYM
fcis-7575	241	12	2826	2826	NUM
fcis-7575	241	13	.	.	PUNCT
fcis-7575	242	1	[	[	X
fcis-7575	242	2	28	28	NUM
fcis-7575	242	3	]	]	X
fcis-7575	242	4	mayr	mayr	PROPN
fcis-7575	242	5	,	,	PUNCT
fcis-7575	242	6	a.	a.	PROPN
fcis-7575	242	7	,	,	PUNCT
fcis-7575	242	8	klambauer	klambauer	PROPN
fcis-7575	242	9	,	,	PUNCT
fcis-7575	242	10	g.	g.	PROPN
fcis-7575	242	11	,	,	PUNCT
fcis-7575	242	12	unterthiner	unterthiner	PROPN
fcis-7575	242	13	,	,	PUNCT
fcis-7575	242	14	t.	t.	PROPN
fcis-7575	242	15	,	,	PUNCT
fcis-7575	242	16	steijaert	steijaert	ADJ
fcis-7575	242	17	,	,	PUNCT
fcis-7575	242	18	m.	m.	NOUN
fcis-7575	242	19	,	,	PUNCT
fcis-7575	242	20	wegner	wegner	PROPN
fcis-7575	242	21	,	,	PUNCT
fcis-7575	242	22	j.	j.	PROPN
fcis-7575	242	23	k.	k.	PROPN
fcis-7575	242	24	,	,	PUNCT
fcis-7575	242	25	&	&	CCONJ
fcis-7575	242	26	ceulemans	ceulemans	PROPN
fcis-7575	242	27	,	,	PUNCT
fcis-7575	242	28	h.	h.	PROPN
fcis-7575	242	29	(	(	PUNCT
fcis-7575	242	30	2016	2016	NUM
fcis-7575	242	31	)	)	PUNCT
fcis-7575	242	32	.	.	PUNCT
fcis-7575	243	1	large	large	ADJ
fcis-7575	243	2	-	-	PUNCT
fcis-7575	243	3	scale	scale	NOUN
fcis-7575	243	4	comparison	comparison	NOUN
fcis-7575	243	5	of	of	ADP
fcis-7575	243	6	machine	machine	NOUN
fcis-7575	243	7	learning	learning	NOUN
fcis-7575	243	8	methods	method	NOUN
fcis-7575	243	9	for	for	ADP
fcis-7575	243	10	drug	drug	NOUN
fcis-7575	243	11	target	target	NOUN
fcis-7575	243	12	prediction	prediction	NOUN
fcis-7575	243	13	on	on	ADP
fcis-7575	243	14	chembl	chembl	NOUN
fcis-7575	243	15	.	.	PUNCT
fcis-7575	244	1	chemical	chemical	NOUN
fcis-7575	244	2	science	science	PROPN
fcis-7575	244	3	,	,	PUNCT
fcis-7575	244	4	7(11	7(11	NUM
fcis-7575	244	5	)	)	PUNCT
fcis-7575	244	6	,	,	PUNCT
fcis-7575	244	7	7161	7161	NUM
fcis-7575	244	8	-	-	SYM
fcis-7575	244	9	7171	7171	NUM
fcis-7575	244	10	.	.	PUNCT
fcis-7575	245	1	[	[	X
fcis-7575	245	2	29	29	NUM
fcis-7575	245	3	]	]	X
fcis-7575	245	4	aliper	aliper	PROPN
fcis-7575	245	5	,	,	PUNCT
fcis-7575	245	6	a.	a.	NOUN
fcis-7575	245	7	,	,	PUNCT
fcis-7575	245	8	plis	plis	PROPN
fcis-7575	245	9	,	,	PUNCT
fcis-7575	245	10	s.	s.	PROPN
fcis-7575	245	11	,	,	PUNCT
fcis-7575	245	12	artemov	artemov	PROPN
fcis-7575	245	13	,	,	PUNCT
fcis-7575	245	14	a.	a.	NOUN
fcis-7575	245	15	,	,	PUNCT
fcis-7575	245	16	ulloa	ulloa	NOUN
fcis-7575	245	17	,	,	PUNCT
fcis-7575	245	18	a.	a.	PROPN
fcis-7575	245	19	,	,	PUNCT
fcis-7575	245	20	mamoshina	mamoshina	PROPN
fcis-7575	245	21	,	,	PUNCT
fcis-7575	245	22	p.	p.	NOUN
fcis-7575	245	23	,	,	PUNCT
fcis-7575	245	24	&	&	CCONJ
fcis-7575	245	25	zhavoronkov	zhavoronkov	PROPN
fcis-7575	245	26	,	,	PUNCT
fcis-7575	245	27	a.	a.	NOUN
fcis-7575	245	28	(	(	PUNCT
fcis-7575	245	29	2016	2016	NUM
fcis-7575	245	30	)	)	PUNCT
fcis-7575	245	31	.	.	PUNCT
fcis-7575	246	1	deep	deep	ADJ
fcis-7575	246	2	learning	learning	NOUN
fcis-7575	246	3	applications	application	NOUN
fcis-7575	246	4	for	for	ADP
fcis-7575	246	5	predicting	predict	VERB
fcis-7575	246	6	pharmacological	pharmacological	ADJ
fcis-7575	246	7	properties	property	NOUN
fcis-7575	246	8	of	of	ADP
fcis-7575	246	9	drugs	drug	NOUN
fcis-7575	246	10	and	and	CCONJ
fcis-7575	246	11	drug	drug	NOUN
fcis-7575	246	12	repurposing	repurpose	VERB
fcis-7575	246	13	using	use	VERB
fcis-7575	246	14	transcriptomic	transcriptomic	ADJ
fcis-7575	246	15	data	datum	NOUN
fcis-7575	246	16	.	.	PUNCT
fcis-7575	247	1	molecular	molecular	ADJ
fcis-7575	247	2	pharmaceutics	pharmaceutic	NOUN
fcis-7575	247	3	,	,	PUNCT
fcis-7575	247	4	13(7	13(7	NUM
fcis-7575	247	5	)	)	PUNCT
fcis-7575	247	6	,	,	PUNCT
fcis-7575	247	7	2524	2524	NUM
fcis-7575	247	8	-	-	SYM
fcis-7575	247	9	2530	2530	NUM
fcis-7575	247	10	.	.	PUNCT
fcis-7575	248	1	[	[	X
fcis-7575	248	2	30	30	NUM
fcis-7575	248	3	]	]	X
fcis-7575	248	4	sedykh	sedykh	ADJ
fcis-7575	248	5	,	,	PUNCT
fcis-7575	248	6	a.	a.	PROPN
fcis-7575	248	7	,	,	PUNCT
fcis-7575	248	8	et	et	PROPN
fcis-7575	248	9	al	al	PROPN
fcis-7575	248	10	.	.	PUNCT
fcis-7575	249	1	(	(	PUNCT
fcis-7575	249	2	2018	2018	NUM
fcis-7575	249	3	)	)	PUNCT
fcis-7575	249	4	.	.	PUNCT
fcis-7575	250	1	use	use	NOUN
fcis-7575	250	2	of	of	ADP
fcis-7575	250	3	in	in	ADP
fcis-7575	250	4	vitro	vitro	X
fcis-7575	250	5	hts	ht	NOUN
fcis-7575	250	6	-	-	PUNCT
fcis-7575	250	7	derived	derive	VERB
fcis-7575	250	8	concentration	concentration	NOUN
fcis-7575	250	9	-	-	PUNCT
fcis-7575	250	10	response	response	NOUN
fcis-7575	250	11	data	datum	NOUN
fcis-7575	250	12	as	as	ADP
fcis-7575	250	13	biological	biological	ADJ
fcis-7575	250	14	descriptors	descriptor	NOUN
fcis-7575	250	15	improves	improve	VERB
fcis-7575	250	16	the	the	DET
fcis-7575	250	17	accuracy	accuracy	NOUN
fcis-7575	250	18	of	of	ADP
fcis-7575	250	19	qsar	qsar	NOUN
fcis-7575	250	20	models	model	NOUN
fcis-7575	250	21	of	of	ADP
fcis-7575	250	22	in	in	ADP
fcis-7575	250	23	vivo	vivo	ADJ
fcis-7575	250	24	toxicity	toxicity	NOUN
fcis-7575	250	25	in	in	ADP
fcis-7575	250	26	rats	rat	NOUN
fcis-7575	250	27	.	.	PUNCT
fcis-7575	251	1	environmental	environmental	ADJ
fcis-7575	251	2	health	health	NOUN
fcis-7575	251	3	perspectives	perspective	NOUN
fcis-7575	251	4	,	,	PUNCT
fcis-7575	251	5	126(4	126(4	NUM
fcis-7575	251	6	)	)	PUNCT
fcis-7575	251	7	,	,	PUNCT
fcis-7575	251	8	047012	047012	NUM
fcis-7575	251	9	.	.	PUNCT
fcis-7575	252	1	123	123	NUM
fcis-7575	252	2	[	[	X
fcis-7575	252	3	31	31	NUM
fcis-7575	252	4	]	]	X
fcis-7575	252	5	mayr	mayr	PROPN
fcis-7575	252	6	,	,	PUNCT
fcis-7575	252	7	a.	a.	PROPN
fcis-7575	252	8	,	,	PUNCT
fcis-7575	252	9	et	et	PROPN
fcis-7575	252	10	al	al	PROPN
fcis-7575	252	11	.	.	PUNCT
fcis-7575	252	12	(	(	PUNCT
fcis-7575	252	13	2016	2016	NUM
fcis-7575	252	14	)	)	PUNCT
fcis-7575	252	15	.	.	PUNCT
fcis-7575	253	1	deeptox	deeptox	NOUN
fcis-7575	253	2	:	:	PUNCT
fcis-7575	253	3	toxicity	toxicity	NOUN
fcis-7575	253	4	prediction	prediction	NOUN
fcis-7575	253	5	using	use	VERB
fcis-7575	253	6	deep	deep	ADJ
fcis-7575	253	7	learning	learning	NOUN
fcis-7575	253	8	.	.	PUNCT
fcis-7575	254	1	frontiers	frontier	NOUN
fcis-7575	254	2	in	in	ADP
fcis-7575	254	3	environmental	environmental	ADJ
fcis-7575	254	4	science	science	NOUN
fcis-7575	254	5	,	,	PUNCT
fcis-7575	254	6	3	3	NUM
fcis-7575	254	7	,	,	PUNCT
fcis-7575	254	8	80	80	NUM
fcis-7575	254	9	.	.	PUNCT
fcis-7575	255	1	[	[	X
fcis-7575	255	2	32	32	NUM
fcis-7575	255	3	]	]	X
fcis-7575	255	4	sun	sun	NOUN
fcis-7575	255	5	,	,	PUNCT
fcis-7575	255	6	j.	j.	PROPN
fcis-7575	255	7	,	,	PUNCT
fcis-7575	255	8	et	et	PROPN
fcis-7575	255	9	al	al	PROPN
fcis-7575	255	10	.	.	PROPN
fcis-7575	255	11	(	(	PUNCT
fcis-7575	255	12	2019	2019	NUM
fcis-7575	255	13	)	)	PUNCT
fcis-7575	255	14	.	.	PUNCT
fcis-7575	256	1	deepddi	deepddi	PROPN
fcis-7575	256	2	:	:	PUNCT
fcis-7575	256	3	predicting	predict	VERB
fcis-7575	256	4	drug	drug	NOUN
fcis-7575	256	5	-	-	PUNCT
fcis-7575	256	6	drug	drug	NOUN
fcis-7575	256	7	interactions	interaction	NOUN
fcis-7575	256	8	via	via	ADP
fcis-7575	256	9	deep	deep	ADJ
fcis-7575	256	10	learning	learning	NOUN
fcis-7575	256	11	.	.	PUNCT
fcis-7575	257	1	journal	journal	PROPN
fcis-7575	257	2	of	of	ADP
fcis-7575	257	3	chemical	chemical	ADJ
fcis-7575	257	4	information	information	NOUN
fcis-7575	257	5	and	and	CCONJ
fcis-7575	257	6	modeling	modeling	NOUN
fcis-7575	257	7	,	,	PUNCT
fcis-7575	257	8	59(8	59(8	NUM
fcis-7575	257	9	)	)	PUNCT
fcis-7575	257	10	,	,	PUNCT
fcis-7575	257	11	3369	3369	NUM
fcis-7575	257	12	-	-	SYM
fcis-7575	257	13	3378	3378	NUM
fcis-7575	257	14	.	.	PUNCT
fcis-7575	258	1	[	[	X
fcis-7575	258	2	33	33	NUM
fcis-7575	258	3	]	]	PUNCT
fcis-7575	258	4	sakkiah	sakkiah	PROPN
fcis-7575	258	5	,	,	PUNCT
fcis-7575	258	6	s.	s.	PROPN
fcis-7575	258	7	,	,	PUNCT
fcis-7575	258	8	et	et	PROPN
fcis-7575	258	9	al	al	PROPN
fcis-7575	258	10	.	.	PUNCT
fcis-7575	258	11	(	(	PUNCT
fcis-7575	258	12	2017	2017	NUM
fcis-7575	258	13	)	)	PUNCT
fcis-7575	258	14	.	.	PUNCT
fcis-7575	259	1	deepcoyote	deepcoyote	VERB
fcis-7575	259	2	:	:	PUNCT
fcis-7575	259	3	a	a	DET
fcis-7575	259	4	deep	deep	ADJ
fcis-7575	259	5	neural	neural	ADJ
fcis-7575	259	6	network	network	NOUN
fcis-7575	259	7	based	base	VERB
fcis-7575	259	8	approach	approach	NOUN
fcis-7575	259	9	for	for	ADP
fcis-7575	259	10	prediction	prediction	NOUN
fcis-7575	259	11	of	of	ADP
fcis-7575	259	12	acute	acute	ADJ
fcis-7575	259	13	oral	oral	ADJ
fcis-7575	259	14	toxicity	toxicity	NOUN
fcis-7575	259	15	in	in	ADP
fcis-7575	259	16	rats	rat	NOUN
fcis-7575	259	17	.	.	PUNCT
fcis-7575	260	1	journal	journal	NOUN
fcis-7575	260	2	of	of	ADP
fcis-7575	260	3	cheminformatics	cheminformatic	NOUN
fcis-7575	260	4	,	,	PUNCT
fcis-7575	260	5	9	9	NUM
fcis-7575	260	6	,	,	PUNCT
fcis-7575	260	7	51	51	NUM
fcis-7575	260	8	.	.	PUNCT
fcis-7575	261	1	[	[	X
fcis-7575	261	2	34	34	NUM
fcis-7575	261	3	]	]	SYM
fcis-7575	261	4	krenn	krenn	PROPN
fcis-7575	261	5	,	,	PUNCT
fcis-7575	261	6	m.	m.	NOUN
fcis-7575	261	7	,	,	PUNCT
fcis-7575	261	8	et	et	PROPN
fcis-7575	261	9	al	al	PROPN
fcis-7575	261	10	.	.	PUNCT
fcis-7575	261	11	(	(	PUNCT
fcis-7575	261	12	2018	2018	NUM
fcis-7575	261	13	)	)	PUNCT
fcis-7575	261	14	.	.	PUNCT
fcis-7575	262	1	self	self	NOUN
fcis-7575	262	2	-	-	PUNCT
fcis-7575	262	3	organizing	organize	VERB
fcis-7575	262	4	molecules	molecule	NOUN
fcis-7575	262	5	in	in	ADP
fcis-7575	262	6	a	a	DET
fcis-7575	262	7	synthetic	synthetic	ADJ
fcis-7575	262	8	feedback	feedback	NOUN
fcis-7575	262	9	loop	loop	NOUN
fcis-7575	262	10	with	with	ADP
fcis-7575	262	11	machine	machine	NOUN
fcis-7575	262	12	learning	learning	NOUN
fcis-7575	262	13	.	.	PUNCT
fcis-7575	263	1	physical	physical	ADJ
fcis-7575	263	2	review	review	NOUN
fcis-7575	263	3	letters	letter	NOUN
fcis-7575	263	4	,	,	PUNCT
fcis-7575	263	5	120(11	120(11	NUM
fcis-7575	263	6	)	)	PUNCT
fcis-7575	263	7	,	,	PUNCT
fcis-7575	263	8	118001	118001	NUM
fcis-7575	263	9	.	.	PUNCT
fcis-7575	264	1	[	[	X
fcis-7575	264	2	35	35	NUM
fcis-7575	264	3	]	]	SYM
fcis-7575	264	4	brown	brown	ADJ
fcis-7575	264	5	,	,	PUNCT
fcis-7575	264	6	n.	n.	NOUN
fcis-7575	264	7	,	,	PUNCT
fcis-7575	264	8	&	&	CCONJ
fcis-7575	264	9	fiscato	fiscato	PROPN
fcis-7575	264	10	,	,	PUNCT
fcis-7575	264	11	m.	m.	NOUN
fcis-7575	264	12	(	(	PUNCT
fcis-7575	264	13	2021	2021	NUM
fcis-7575	264	14	)	)	PUNCT
fcis-7575	264	15	.	.	PUNCT
fcis-7575	265	1	de	de	PROPN
fcis-7575	265	2	novo	novo	PROPN
fcis-7575	265	3	drug	drug	NOUN
fcis-7575	265	4	design	design	NOUN
fcis-7575	265	5	by	by	ADP
fcis-7575	265	6	deep	deep	ADJ
fcis-7575	265	7	learning	learning	NOUN
fcis-7575	265	8	:	:	PUNCT
fcis-7575	265	9	current	current	ADJ
fcis-7575	265	10	progress	progress	NOUN
fcis-7575	265	11	and	and	CCONJ
fcis-7575	265	12	future	future	ADJ
fcis-7575	265	13	prospects	prospect	NOUN
fcis-7575	265	14	.	.	PUNCT
fcis-7575	266	1	drug	drug	NOUN
fcis-7575	266	2	discovery	discovery	PROPN
fcis-7575	266	3	today	today	NOUN
fcis-7575	266	4	,	,	PUNCT
fcis-7575	266	5	26(5	26(5	NUM
fcis-7575	266	6	)	)	PUNCT
fcis-7575	266	7	,	,	PUNCT
fcis-7575	266	8	1265	1265	NUM
fcis-7575	266	9	-	-	SYM
fcis-7575	266	10	1281	1281	NUM
fcis-7575	266	11	.	.	PUNCT
fcis-7575	267	1	[	[	X
fcis-7575	267	2	36	36	NUM
fcis-7575	267	3	]	]	PUNCT
fcis-7575	267	4	gómez	gómez	NOUN
fcis-7575	267	5	-	-	PUNCT
fcis-7575	267	6	bombarelli	bombarelli	PROPN
fcis-7575	267	7	,	,	PUNCT
fcis-7575	267	8	r.	r.	PROPN
fcis-7575	267	9	,	,	PUNCT
fcis-7575	267	10	wei	wei	PROPN
fcis-7575	267	11	,	,	PUNCT
fcis-7575	267	12	j.	j.	PROPN
fcis-7575	267	13	n.	n.	PROPN
fcis-7575	267	14	,	,	PUNCT
fcis-7575	267	15	duvenaud	duvenaud	PROPN
fcis-7575	267	16	,	,	PUNCT
fcis-7575	267	17	d.	d.	PROPN
fcis-7575	267	18	,	,	PUNCT
fcis-7575	267	19	hernándezlobato	hernándezlobato	PROPN
fcis-7575	267	20	,	,	PUNCT
fcis-7575	267	21	j.	j.	PROPN
fcis-7575	267	22	m.	m.	PROPN
fcis-7575	267	23	,	,	PUNCT
fcis-7575	267	24	sánchez	sánchez	NOUN
fcis-7575	267	25	-	-	PUNCT
fcis-7575	267	26	lengeling	lengele	VERB
fcis-7575	267	27	,	,	PUNCT
fcis-7575	267	28	b.	b.	PROPN
fcis-7575	267	29	,	,	PUNCT
fcis-7575	267	30	sheberla	sheberla	PROPN
fcis-7575	267	31	,	,	PUNCT
fcis-7575	267	32	d.	d.	PROPN
fcis-7575	267	33	,	,	PUNCT
fcis-7575	267	34	...	...	PUNCT
fcis-7575	267	35	&	&	CCONJ
fcis-7575	267	36	aspuru	aspuru	ADJ
fcis-7575	267	37	-	-	PUNCT
fcis-7575	267	38	guzik	guzik	NOUN
fcis-7575	267	39	,	,	PUNCT
fcis-7575	267	40	a.	a.	NOUN
fcis-7575	267	41	(	(	PUNCT
fcis-7575	267	42	2018	2018	NUM
fcis-7575	267	43	)	)	PUNCT
fcis-7575	267	44	.	.	PUNCT
fcis-7575	268	1	automatic	automatic	ADJ
fcis-7575	268	2	chemical	chemical	NOUN
fcis-7575	268	3	design	design	NOUN
fcis-7575	268	4	using	use	VERB
fcis-7575	268	5	a	a	DET
fcis-7575	268	6	data	data	NOUN
fcis-7575	268	7	-	-	PUNCT
fcis-7575	268	8	driven	drive	VERB
fcis-7575	268	9	continuous	continuous	ADJ
fcis-7575	268	10	representation	representation	NOUN
fcis-7575	268	11	of	of	ADP
fcis-7575	268	12	molecules	molecule	NOUN
fcis-7575	268	13	.	.	PUNCT
fcis-7575	269	1	acs	acs	PROPN
fcis-7575	269	2	central	central	PROPN
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fcis-7575	275	2	.	.	PUNCT
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fcis-7575	295	21	for	for	ADP
fcis-7575	295	22	structure	structure	NOUN
fcis-7575	295	23	-	-	PUNCT
fcis-7575	295	24	based	base	VERB
fcis-7575	295	25	drug	drug	NOUN
fcis-7575	295	26	discovery	discovery	NOUN
fcis-7575	295	27	.	.	PUNCT
fcis-7575	295	28	arxiv:1510.02855	arxiv:1510.02855	PUNCT
fcis-7575	296	1	[	[	X
fcis-7575	296	2	q-bio.bm	q-bio.bm	X
fcis-7575	296	3	]	]	X
fcis-7575	296	4	(	(	PUNCT
fcis-7575	296	5	2015	2015	NUM
fcis-7575	296	6	)	)	PUNCT
fcis-7575	296	7	.	.	PUNCT
fcis-7575	297	1	[	[	X
fcis-7575	297	2	45	45	NUM
fcis-7575	297	3	]	]	X
fcis-7575	297	4	hugo	hugo	PROPN
fcis-7575	297	5	,	,	PUNCT
fcis-7575	297	6	w.	w.	PROPN
fcis-7575	297	7	,	,	PUNCT
fcis-7575	297	8	zaretsky	zaretsky	PROPN
fcis-7575	297	9	,	,	PUNCT
fcis-7575	297	10	j.	j.	PROPN
fcis-7575	297	11	m.	m.	PROPN
fcis-7575	297	12	,	,	PUNCT
fcis-7575	297	13	sun	sun	PROPN
fcis-7575	297	14	,	,	PUNCT
fcis-7575	297	15	l.	l.	PROPN
fcis-7575	297	16	,	,	PUNCT
fcis-7575	297	17	song	song	NOUN
fcis-7575	297	18	,	,	PUNCT
fcis-7575	297	19	c.	c.	PROPN
fcis-7575	297	20	,	,	PUNCT
fcis-7575	297	21	moreno	moreno	PROPN
fcis-7575	297	22	,	,	PUNCT
fcis-7575	297	23	b.	b.	PROPN
fcis-7575	297	24	h.	h.	PROPN
fcis-7575	297	25	,	,	PUNCT
fcis-7575	297	26	hu	hu	PROPN
fcis-7575	297	27	-	-	PUNCT
fcis-7575	297	28	lieskovan	lieskovan	PROPN
fcis-7575	297	29	,	,	PUNCT
fcis-7575	297	30	s.	s.	PROPN
fcis-7575	297	31	,	,	PUNCT
fcis-7575	297	32	...	...	PUNCT
fcis-7575	297	33	&	&	CCONJ
fcis-7575	297	34	ribas	ribas	PROPN
fcis-7575	297	35	,	,	PUNCT
fcis-7575	297	36	a.	a.	NOUN
fcis-7575	297	37	(	(	PUNCT
fcis-7575	297	38	2016	2016	NUM
fcis-7575	297	39	)	)	PUNCT
fcis-7575	297	40	.	.	PUNCT
fcis-7575	298	1	genomic	genomic	NOUN
fcis-7575	298	2	and	and	CCONJ
fcis-7575	298	3	transcriptomic	transcriptomic	ADJ
fcis-7575	298	4	features	feature	NOUN
fcis-7575	298	5	of	of	ADP
fcis-7575	298	6	response	response	NOUN
fcis-7575	298	7	to	to	ADP
fcis-7575	298	8	anti	anti	ADJ
fcis-7575	298	9	-	-	ADJ
fcis-7575	298	10	pd-1	pd-1	ADJ
fcis-7575	298	11	therapy	therapy	NOUN
fcis-7575	298	12	in	in	ADP
fcis-7575	298	13	metastatic	metastatic	ADJ
fcis-7575	298	14	melanoma	melanoma	NOUN
fcis-7575	298	15	.	.	PUNCT
fcis-7575	299	1	cell	cell	NOUN
fcis-7575	299	2	,	,	PUNCT
fcis-7575	299	3	165(1	165(1	NUM
fcis-7575	299	4	)	)	PUNCT
fcis-7575	299	5	,	,	PUNCT
fcis-7575	299	6	35	35	NUM
fcis-7575	299	7	-	-	SYM
fcis-7575	299	8	44	44	NUM
fcis-7575	299	9	.	.	PUNCT