id	sid	tid	token	lemma	pos
admet-2945	1	1	prediction	prediction	NOUN
admet-2945	1	2	of	of	ADP
admet-2945	1	3	metabolism	metabolism	NOUN
admet-2945	1	4	and	and	CCONJ
admet-2945	1	5	solubility	solubility	NOUN
admet-2945	1	6	of	of	ADP
admet-2945	1	7	tablet	tablet	NOUN
admet-2945	1	8	-	-	PUNCT
admet-2945	1	9	form	form	NOUN
admet-2945	1	10	drugs	drug	NOUN
admet-2945	1	11	according	accord	VERB
admet-2945	1	12	to	to	ADP
admet-2945	1	13	the	the	DET
admet-2945	1	14	biopharmaceutical	biopharmaceutical	ADJ
admet-2945	1	15	drug	drug	NOUN
admet-2945	1	16	disposition	disposition	NOUN
admet-2945	1	17	classification	classification	NOUN
admet-2945	1	18	system	system	NOUN
admet-2945	1	19	doi	doi	NOUN
admet-2945	1	20	:	:	PUNCT
admet-2945	1	21	http://dx.doi.org/10.5599/admet.2945	http://dx.doi.org/10.5599/admet.2945	NUM
admet-2945	1	22	1	1	NUM
admet-2945	1	23	admet	admet	X
admet-2945	1	24	&	&	CCONJ
admet-2945	1	25	dmpk	dmpk	PROPN
admet-2945	1	26	13(5	13(5	NUM
admet-2945	1	27	)	)	PUNCT
admet-2945	1	28	(	(	PUNCT
admet-2945	1	29	2025	2025	NUM
admet-2945	1	30	)	)	PUNCT
admet-2945	1	31	2945	2945	NUM
admet-2945	1	32	;	;	PUNCT
admet-2945	1	33	doi	doi	NOUN
admet-2945	1	34	:	:	PUNCT
admet-2945	1	35	https://doi.org/10.5599/admet.2945	https://doi.org/10.5599/admet.2945	ADJ
admet-2945	1	36	open	open	ADJ
admet-2945	1	37	access	access	NOUN
admet-2945	1	38	:	:	PUNCT
admet-2945	1	39	issn	issn	PROPN
admet-2945	1	40	:	:	PUNCT
admet-2945	1	41	1848	1848	NUM
admet-2945	1	42	-	-	SYM
admet-2945	1	43	7718	7718	NUM
admet-2945	1	44	http://www.pub.iapchem.org/ojs/index.ph-p/admet/index	http://www.pub.iapchem.org/ojs/index.ph-p/admet/index	PROPN
admet-2945	1	45	original	original	ADJ
admet-2945	1	46	scientific	scientific	ADJ
admet-2945	1	47	paper	paper	NOUN
admet-2945	1	48	prediction	prediction	NOUN
admet-2945	1	49	of	of	ADP
admet-2945	1	50	metabolism	metabolism	NOUN
admet-2945	1	51	and	and	CCONJ
admet-2945	1	52	solubility	solubility	NOUN
admet-2945	1	53	of	of	ADP
admet-2945	1	54	tablet	tablet	NOUN
admet-2945	1	55	-	-	PUNCT
admet-2945	1	56	form	form	NOUN
admet-2945	1	57	drugs	drug	NOUN
admet-2945	1	58	according	accord	VERB
admet-2945	1	59	to	to	ADP
admet-2945	1	60	the	the	DET
admet-2945	1	61	biopharmaceutical	biopharmaceutical	ADJ
admet-2945	1	62	drug	drug	NOUN
admet-2945	1	63	disposition	disposition	NOUN
admet-2945	1	64	classification	classification	NOUN
admet-2945	1	65	system	system	NOUN
admet-2945	1	66	yaroslava	yaroslava	NOUN
admet-2945	1	67	pushkarova	pushkarova	PROPN
admet-2945	1	68	*	*	PROPN
admet-2945	1	69	,	,	PUNCT
admet-2945	1	70	galina	galina	PROPN
admet-2945	1	71	zaitseva	zaitseva	PROPN
admet-2945	1	72	and	and	CCONJ
admet-2945	1	73	kaouthar	kaouthar	PROPN
admet-2945	1	74	bouaalam	bouaalam	PROPN
admet-2945	1	75	department	department	PROPN
admet-2945	1	76	of	of	ADP
admet-2945	1	77	analytical	analytical	ADJ
admet-2945	1	78	,	,	PUNCT
admet-2945	1	79	physical	physical	ADJ
admet-2945	1	80	and	and	CCONJ
admet-2945	1	81	colloid	colloid	NOUN
admet-2945	1	82	chemistry	chemistry	NOUN
admet-2945	1	83	,	,	PUNCT
admet-2945	1	84	bogomolets	bogomolet	VERB
admet-2945	1	85	national	national	PROPN
admet-2945	1	86	medical	medical	PROPN
admet-2945	1	87	university	university	PROPN
admet-2945	1	88	,	,	PUNCT
admet-2945	1	89	kyiv	kyiv	ADJ
admet-2945	1	90	,	,	PUNCT
admet-2945	1	91	01601	01601	NUM
admet-2945	1	92	,	,	PUNCT
admet-2945	1	93	ukraine	ukraine	NOUN
admet-2945	1	94	*	*	PUNCT
admet-2945	1	95	corresponding	correspond	VERB
admet-2945	1	96	author	author	NOUN
admet-2945	1	97	:	:	PUNCT
admet-2945	1	98	e	e	NOUN
admet-2945	1	99	-	-	NOUN
admet-2945	1	100	mail	mail	NOUN
admet-2945	1	101	:	:	PUNCT
admet-2945	1	102	yaroslava.pushkarova@gmail.com	yaroslava.pushkarova@gmail.com	X
admet-2945	1	103	received	receive	VERB
admet-2945	1	104	:	:	PUNCT
admet-2945	1	105	june	june	PROPN
admet-2945	1	106	11	11	NUM
admet-2945	1	107	,	,	PUNCT
admet-2945	1	108	2025	2025	NUM
admet-2945	1	109	;	;	PUNCT
admet-2945	1	110	revised	revise	VERB
admet-2945	1	111	:	:	PUNCT
admet-2945	1	112	september	september	PROPN
admet-2945	1	113	10	10	NUM
admet-2945	1	114	,	,	PUNCT
admet-2945	1	115	2025	2025	NUM
admet-2945	1	116	;	;	PUNCT
admet-2945	1	117	published	publish	VERB
admet-2945	1	118	:	:	PUNCT
admet-2945	1	119	september	september	PROPN
admet-2945	1	120	17	17	NUM
admet-2945	1	121	,	,	PUNCT
admet-2945	1	122	2025	2025	NUM
admet-2945	1	123	abstract	abstract	ADJ
admet-2945	1	124	background	background	NOUN
admet-2945	1	125	and	and	CCONJ
admet-2945	1	126	purpose	purpose	NOUN
admet-2945	1	127	:	:	PUNCT
admet-2945	1	128	prediction	prediction	NOUN
admet-2945	1	129	of	of	ADP
admet-2945	1	130	metabolism	metabolism	NOUN
admet-2945	1	131	and	and	CCONJ
admet-2945	1	132	solubility	solubility	NOUN
admet-2945	1	133	of	of	ADP
admet-2945	1	134	tablet	tablet	NOUN
admet-2945	1	135	-	-	PUNCT
admet-2945	1	136	form	form	NOUN
admet-2945	1	137	drugs	drug	NOUN
admet-2945	1	138	is	be	AUX
admet-2945	1	139	essential	essential	ADJ
admet-2945	1	140	in	in	ADP
admet-2945	1	141	pharmaceutical	pharmaceutical	ADJ
admet-2945	1	142	development	development	NOUN
admet-2945	1	143	,	,	PUNCT
admet-2945	1	144	impacting	impact	VERB
admet-2945	1	145	drug	drug	NOUN
admet-2945	1	146	efficacy	efficacy	NOUN
admet-2945	1	147	,	,	PUNCT
admet-2945	1	148	safety	safety	NOUN
admet-2945	1	149	and	and	CCONJ
admet-2945	1	150	formulation	formulation	NOUN
admet-2945	1	151	strategies	strategy	NOUN
admet-2945	1	152	.	.	PUNCT
admet-2945	2	1	this	this	DET
admet-2945	2	2	study	study	NOUN
admet-2945	2	3	aimed	aim	VERB
admet-2945	2	4	to	to	PART
admet-2945	2	5	develop	develop	VERB
admet-2945	2	6	predictive	predictive	ADJ
admet-2945	2	7	models	model	NOUN
admet-2945	2	8	for	for	ADP
admet-2945	2	9	classifying	classify	VERB
admet-2945	2	10	drugs	drug	NOUN
admet-2945	2	11	according	accord	VERB
admet-2945	2	12	to	to	ADP
admet-2945	2	13	metabolism	metabolism	NOUN
admet-2945	2	14	and	and	CCONJ
admet-2945	2	15	solubility	solubility	NOUN
admet-2945	2	16	within	within	ADP
admet-2945	2	17	the	the	DET
admet-2945	2	18	biopharmaceutical	biopharmaceutical	ADJ
admet-2945	2	19	drug	drug	NOUN
admet-2945	2	20	disposition	disposition	NOUN
admet-2945	2	21	classification	classification	NOUN
admet-2945	2	22	system	system	NOUN
admet-2945	2	23	.	.	PUNCT
admet-2945	3	1	experimental	experimental	ADJ
admet-2945	3	2	approach	approach	NOUN
admet-2945	3	3	:	:	PUNCT
admet-2945	3	4	a	a	DET
admet-2945	3	5	dataset	dataset	NOUN
admet-2945	3	6	of	of	ADP
admet-2945	3	7	220	220	NUM
admet-2945	3	8	tabletform	tabletform	NOUN
admet-2945	3	9	drugs	drug	NOUN
admet-2945	3	10	characterized	characterize	VERB
admet-2945	3	11	by	by	ADP
admet-2945	3	12	eleven	eleven	NUM
admet-2945	3	13	molecular	molecular	ADJ
admet-2945	3	14	descriptors	descriptor	NOUN
admet-2945	3	15	was	be	AUX
admet-2945	3	16	analysed	analyse	VERB
admet-2945	3	17	.	.	PUNCT
admet-2945	4	1	the	the	DET
admet-2945	4	2	kruskal	kruskal	PROPN
admet-2945	4	3	–	–	PUNCT
admet-2945	4	4	wallis	wallis	PROPN
admet-2945	4	5	test	test	PROPN
admet-2945	4	6	identified	identify	VERB
admet-2945	4	7	relevant	relevant	ADJ
admet-2945	4	8	descriptors	descriptor	NOUN
admet-2945	4	9	for	for	ADP
admet-2945	4	10	metabolism	metabolism	NOUN
admet-2945	4	11	(	(	PUNCT
admet-2945	4	12	extensive	extensive	ADJ
admet-2945	4	13	vs.	vs.	X
admet-2945	4	14	poor	poor	ADJ
admet-2945	4	15	)	)	PUNCT
admet-2945	4	16	and	and	CCONJ
admet-2945	4	17	solubility	solubility	NOUN
admet-2945	4	18	(	(	PUNCT
admet-2945	4	19	high	high	ADJ
admet-2945	4	20	vs.	vs.	X
admet-2945	4	21	low	low	ADJ
admet-2945	4	22	)	)	PUNCT
admet-2945	4	23	classifications	classification	NOUN
admet-2945	4	24	.	.	PUNCT
admet-2945	5	1	probabilistic	probabilistic	ADJ
admet-2945	5	2	neural	neural	ADJ
admet-2945	5	3	networks	network	NOUN
admet-2945	5	4	were	be	AUX
admet-2945	5	5	employed	employ	VERB
admet-2945	5	6	for	for	ADP
admet-2945	5	7	predictive	predictive	ADJ
admet-2945	5	8	modelling	modelling	NOUN
admet-2945	5	9	,	,	PUNCT
admet-2945	5	10	with	with	ADP
admet-2945	5	11	model	model	NOUN
admet-2945	5	12	parameters	parameter	NOUN
admet-2945	5	13	optimized	optimize	VERB
admet-2945	5	14	to	to	PART
admet-2945	5	15	enhance	enhance	VERB
admet-2945	5	16	accuracy	accuracy	NOUN
admet-2945	5	17	.	.	PUNCT
admet-2945	6	1	key	key	ADJ
admet-2945	6	2	results	result	NOUN
admet-2945	6	3	:	:	PUNCT
admet-2945	6	4	six	six	NUM
admet-2945	6	5	molecular	molecular	ADJ
admet-2945	6	6	descriptors	descriptor	NOUN
admet-2945	6	7	(	(	PUNCT
admet-2945	6	8	hydrogen	hydrogen	NOUN
admet-2945	6	9	bond	bond	NOUN
admet-2945	6	10	acidity	acidity	NOUN
admet-2945	6	11	,	,	PUNCT
admet-2945	6	12	logarithm	logarithm	NOUN
admet-2945	6	13	of	of	ADP
admet-2945	6	14	the	the	DET
admet-2945	6	15	partition	partition	NOUN
admet-2945	6	16	coefficient	coefficient	NOUN
admet-2945	6	17	,	,	PUNCT
admet-2945	6	18	distribution	distribution	NOUN
admet-2945	6	19	coefficient	coefficient	NOUN
admet-2945	6	20	,	,	PUNCT
admet-2945	6	21	hydrogen	hydrogen	NOUN
admet-2945	6	22	bond	bond	NOUN
admet-2945	6	23	acceptor	acceptor	NOUN
admet-2945	6	24	count	count	NOUN
admet-2945	6	25	,	,	PUNCT
admet-2945	6	26	molecular	molecular	ADJ
admet-2945	6	27	weight	weight	NOUN
admet-2945	6	28	and	and	CCONJ
admet-2945	6	29	polar	polar	ADJ
admet-2945	6	30	surface	surface	NOUN
admet-2945	6	31	area	area	NOUN
admet-2945	6	32	)	)	PUNCT
admet-2945	6	33	predicted	predict	VERB
admet-2945	6	34	metabolism	metabolism	NOUN
admet-2945	6	35	class	class	NOUN
admet-2945	6	36	with	with	ADP
admet-2945	6	37	97	97	NUM
admet-2945	6	38	%	%	NOUN
admet-2945	6	39	accuracy	accuracy	NOUN
admet-2945	6	40	.	.	PUNCT
admet-2945	7	1	for	for	ADP
admet-2945	7	2	solubility	solubility	NOUN
admet-2945	7	3	classification	classification	NOUN
admet-2945	7	4	,	,	PUNCT
admet-2945	7	5	five	five	NUM
admet-2945	7	6	descriptors	descriptor	NOUN
admet-2945	7	7	(	(	PUNCT
admet-2945	7	8	dipolarity	dipolarity	NOUN
admet-2945	7	9	/	/	SYM
admet-2945	7	10	polarizability	polarizability	NOUN
admet-2945	7	11	,	,	PUNCT
admet-2945	7	12	logarithm	logarithm	NOUN
admet-2945	7	13	of	of	ADP
admet-2945	7	14	the	the	DET
admet-2945	7	15	partition	partition	NOUN
admet-2945	7	16	coefficient	coefficient	NOUN
admet-2945	7	17	,	,	PUNCT
admet-2945	7	18	distribution	distribution	NOUN
admet-2945	7	19	coefficient	coefficient	NOUN
admet-2945	7	20	,	,	PUNCT
admet-2945	7	21	hydrogen	hydrogen	NOUN
admet-2945	7	22	bond	bond	NOUN
admet-2945	7	23	donor	donor	NOUN
admet-2945	7	24	count	count	NOUN
admet-2945	7	25	and	and	CCONJ
admet-2945	7	26	molecular	molecular	ADJ
admet-2945	7	27	weight	weight	NOUN
admet-2945	7	28	)	)	PUNCT
admet-2945	7	29	achieved	achieve	VERB
admet-2945	7	30	88	88	NUM
admet-2945	7	31	%	%	NOUN
admet-2945	7	32	accuracy	accuracy	NOUN
admet-2945	7	33	.	.	PUNCT
admet-2945	8	1	removal	removal	NOUN
admet-2945	8	2	of	of	ADP
admet-2945	8	3	key	key	ADJ
admet-2945	8	4	descriptors	descriptor	NOUN
admet-2945	8	5	significantly	significantly	ADV
admet-2945	8	6	reduced	reduce	VERB
admet-2945	8	7	model	model	NOUN
admet-2945	8	8	performance	performance	NOUN
admet-2945	8	9	,	,	PUNCT
admet-2945	8	10	confirming	confirm	VERB
admet-2945	8	11	their	their	PRON
admet-2945	8	12	importance	importance	NOUN
admet-2945	8	13	.	.	PUNCT
admet-2945	9	1	conclusion	conclusion	NOUN
admet-2945	9	2	:	:	PUNCT
admet-2945	9	3	the	the	DET
admet-2945	9	4	developed	develop	VERB
admet-2945	9	5	models	model	NOUN
admet-2945	9	6	demonstrate	demonstrate	VERB
admet-2945	9	7	robust	robust	ADJ
admet-2945	9	8	predictive	predictive	ADJ
admet-2945	9	9	capability	capability	NOUN
admet-2945	9	10	for	for	ADP
admet-2945	9	11	drug	drug	NOUN
admet-2945	9	12	metabolism	metabolism	NOUN
admet-2945	9	13	and	and	CCONJ
admet-2945	9	14	solubility	solubility	NOUN
admet-2945	9	15	classes	class	NOUN
admet-2945	9	16	as	as	SCONJ
admet-2945	9	17	defined	define	VERB
admet-2945	9	18	by	by	ADP
admet-2945	9	19	the	the	DET
admet-2945	9	20	biopharmaceutical	biopharmaceutical	ADJ
admet-2945	9	21	drug	drug	NOUN
admet-2945	9	22	disposition	disposition	NOUN
admet-2945	9	23	classification	classification	NOUN
admet-2945	9	24	system	system	NOUN
admet-2945	9	25	,	,	PUNCT
admet-2945	9	26	supporting	support	VERB
admet-2945	9	27	early	early	ADJ
admet-2945	9	28	-	-	PUNCT
admet-2945	9	29	stage	stage	NOUN
admet-2945	9	30	drug	drug	NOUN
admet-2945	9	31	screening	screening	NOUN
admet-2945	9	32	based	base	VERB
admet-2945	9	33	solely	solely	ADV
admet-2945	9	34	on	on	ADP
admet-2945	9	35	molecular	molecular	ADJ
admet-2945	9	36	structure	structure	NOUN
admet-2945	9	37	.	.	PUNCT
admet-2945	10	1	the	the	DET
admet-2945	10	2	lower	low	ADJ
admet-2945	10	3	accuracy	accuracy	NOUN
admet-2945	10	4	observed	observe	VERB
admet-2945	10	5	for	for	ADP
admet-2945	10	6	solubility	solubility	NOUN
admet-2945	10	7	prediction	prediction	NOUN
admet-2945	10	8	reflects	reflect	VERB
admet-2945	10	9	its	its	PRON
admet-2945	10	10	complex	complex	ADJ
admet-2945	10	11	and	and	CCONJ
admet-2945	10	12	multifactorial	multifactorial	ADJ
admet-2945	10	13	nature	nature	NOUN
admet-2945	10	14	,	,	PUNCT
admet-2945	10	15	highlighting	highlight	VERB
admet-2945	10	16	the	the	DET
admet-2945	10	17	need	need	NOUN
admet-2945	10	18	for	for	ADP
admet-2945	10	19	further	further	ADJ
admet-2945	10	20	refinement	refinement	NOUN
admet-2945	10	21	of	of	ADP
admet-2945	10	22	molecular	molecular	ADJ
admet-2945	10	23	descriptors	descriptor	NOUN
admet-2945	10	24	.	.	PUNCT
admet-2945	11	1	these	these	DET
admet-2945	11	2	findings	finding	NOUN
admet-2945	11	3	advance	advance	VERB
admet-2945	11	4	the	the	DET
admet-2945	11	5	field	field	NOUN
admet-2945	11	6	by	by	ADP
admet-2945	11	7	providing	provide	VERB
admet-2945	11	8	effective	effective	ADJ
admet-2945	11	9	computational	computational	ADJ
admet-2945	11	10	tools	tool	NOUN
admet-2945	11	11	to	to	PART
admet-2945	11	12	predict	predict	VERB
admet-2945	11	13	key	key	ADJ
admet-2945	11	14	biopharmaceutical	biopharmaceutical	ADJ
admet-2945	11	15	properties	property	NOUN
admet-2945	11	16	,	,	PUNCT
admet-2945	11	17	potentially	potentially	ADV
admet-2945	11	18	accelerating	accelerate	VERB
admet-2945	11	19	the	the	DET
admet-2945	11	20	drug	drug	NOUN
admet-2945	11	21	development	development	NOUN
admet-2945	11	22	process	process	NOUN
admet-2945	11	23	.	.	PUNCT
admet-2945	12	1	©	©	PROPN
admet-2945	12	2	2025	2025	NUM
admet-2945	12	3	by	by	ADP
admet-2945	12	4	the	the	DET
admet-2945	12	5	authors	author	NOUN
admet-2945	12	6	.	.	PUNCT
admet-2945	13	1	this	this	DET
admet-2945	13	2	article	article	NOUN
admet-2945	13	3	is	be	AUX
admet-2945	13	4	an	an	DET
admet-2945	13	5	open	open	ADJ
admet-2945	13	6	-	-	PUNCT
admet-2945	13	7	access	access	NOUN
admet-2945	13	8	article	article	NOUN
admet-2945	13	9	distributed	distribute	VERB
admet-2945	13	10	under	under	ADP
admet-2945	13	11	the	the	DET
admet-2945	13	12	terms	term	NOUN
admet-2945	13	13	and	and	CCONJ
admet-2945	13	14	conditions	condition	NOUN
admet-2945	13	15	of	of	ADP
admet-2945	13	16	the	the	DET
admet-2945	13	17	creative	creative	ADJ
admet-2945	13	18	commons	common	NOUN
admet-2945	13	19	attribution	attribution	NOUN
admet-2945	13	20	license	license	NOUN
admet-2945	13	21	(	(	PUNCT
admet-2945	13	22	http://creativecommons.org/licenses/by/4.0/	http://creativecommons.org/licenses/by/4.0/	PROPN
admet-2945	13	23	)	)	PUNCT
admet-2945	13	24	.	.	PUNCT
admet-2945	14	1	keywords	keyword	VERB
admet-2945	14	2	molecular	molecular	ADJ
admet-2945	14	3	descriptors	descriptor	NOUN
admet-2945	14	4	;	;	PUNCT
admet-2945	14	5	probabilistic	probabilistic	ADJ
admet-2945	14	6	neural	neural	ADJ
admet-2945	14	7	network	network	NOUN
admet-2945	14	8	;	;	PUNCT
admet-2945	14	9	chemometrics	chemometric	NOUN
admet-2945	14	10	;	;	PUNCT
admet-2945	14	11	drug	drug	NOUN
admet-2945	14	12	classification	classification	NOUN
admet-2945	14	13	introduction	introduction	NOUN
admet-2945	14	14	predicting	predict	VERB
admet-2945	14	15	the	the	DET
admet-2945	14	16	metabolism	metabolism	NOUN
admet-2945	14	17	and	and	CCONJ
admet-2945	14	18	solubility	solubility	NOUN
admet-2945	14	19	of	of	ADP
admet-2945	14	20	pharmaceutical	pharmaceutical	ADJ
admet-2945	14	21	compounds	compound	NOUN
admet-2945	14	22	is	be	AUX
admet-2945	14	23	a	a	DET
admet-2945	14	24	critical	critical	ADJ
admet-2945	14	25	aspect	aspect	NOUN
admet-2945	14	26	of	of	ADP
admet-2945	14	27	drug	drug	NOUN
admet-2945	14	28	development	development	NOUN
admet-2945	14	29	and	and	CCONJ
admet-2945	14	30	personalized	personalized	ADJ
admet-2945	14	31	medicine	medicine	NOUN
admet-2945	14	32	.	.	PUNCT
admet-2945	15	1	metabolism	metabolism	NOUN
admet-2945	15	2	primarily	primarily	ADV
admet-2945	15	3	affects	affect	VERB
admet-2945	15	4	how	how	SCONJ
admet-2945	15	5	drugs	drug	NOUN
admet-2945	15	6	are	be	AUX
admet-2945	15	7	processed	process	VERB
admet-2945	15	8	in	in	ADP
admet-2945	15	9	the	the	DET
admet-2945	15	10	body	body	NOUN
admet-2945	15	11	,	,	PUNCT
admet-2945	15	12	while	while	SCONJ
admet-2945	15	13	solubility	solubility	NOUN
admet-2945	15	14	determines	determine	VERB
admet-2945	15	15	the	the	DET
admet-2945	15	16	extent	extent	NOUN
admet-2945	15	17	of	of	ADP
admet-2945	15	18	drug	drug	NOUN
admet-2945	15	19	absorption	absorption	NOUN
admet-2945	15	20	.	.	PUNCT
admet-2945	16	1	these	these	DET
admet-2945	16	2	properties	property	NOUN
admet-2945	16	3	influence	influence	VERB
admet-2945	16	4	bioavailability	bioavailability	NOUN
admet-2945	16	5	,	,	PUNCT
admet-2945	16	6	therapeutic	therapeutic	ADJ
admet-2945	16	7	efficacy	efficacy	NOUN
admet-2945	16	8	,	,	PUNCT
admet-2945	16	9	dosing	dose	VERB
admet-2945	16	10	strategies	strategy	NOUN
admet-2945	16	11	,	,	PUNCT
admet-2945	16	12	and	and	CCONJ
admet-2945	16	13	the	the	DET
admet-2945	16	14	risk	risk	NOUN
admet-2945	16	15	of	of	ADP
admet-2945	16	16	adverse	adverse	ADJ
admet-2945	16	17	effects	effect	NOUN
admet-2945	16	18	.	.	PUNCT
admet-2945	17	1	accurate	accurate	ADJ
admet-2945	17	2	prediction	prediction	NOUN
admet-2945	17	3	of	of	ADP
admet-2945	17	4	whether	whether	SCONJ
admet-2945	17	5	a	a	DET
admet-2945	17	6	drug	drug	NOUN
admet-2945	17	7	exhibits	exhibit	VERB
admet-2945	17	8	poor	poor	ADJ
admet-2945	17	9	or	or	CCONJ
admet-2945	17	10	extensive	extensive	ADJ
admet-2945	17	11	metabolism	metabolism	NOUN
admet-2945	17	12	and	and	CCONJ
admet-2945	17	13	solubility	solubility	NOUN
admet-2945	17	14	is	be	AUX
admet-2945	17	15	essential	essential	ADJ
admet-2945	17	16	for	for	ADP
admet-2945	17	17	optimizing	optimize	VERB
admet-2945	17	18	pharmacokinetic	pharmacokinetic	ADJ
admet-2945	17	19	profiles	profile	NOUN
admet-2945	17	20	and	and	CCONJ
admet-2945	17	21	ensuring	ensure	VERB
admet-2945	17	22	patient	patient	ADJ
admet-2945	17	23	safety	safety	NOUN
admet-2945	18	1	[	[	X
admet-2945	18	2	1	1	NUM
admet-2945	18	3	-	-	SYM
admet-2945	18	4	3	3	NUM
admet-2945	18	5	]	]	PUNCT
admet-2945	18	6	.	.	PUNCT
admet-2945	19	1	http://dx.doi.org/10.5599/admet.2945	http://dx.doi.org/10.5599/admet.2945	CCONJ
admet-2945	19	2	http://www.pub.iapchem.org/ojs/index.php/admet/index	http://www.pub.iapchem.org/ojs/index.php/admet/index	PROPN
admet-2945	19	3	mailto:yaroslava.pushkarova@gmail.com	mailto:yaroslava.pushkarova@gmail.com	X
admet-2945	19	4	http://creativecommons.org/licenses/by/4.0/	http://creativecommons.org/licenses/by/4.0/	PROPN
admet-2945	19	5	y.	y.	PROPN
admet-2945	19	6	pushkarova	pushkarova	PROPN
admet-2945	20	1	et	et	PROPN
admet-2945	20	2	al	al	PROPN
admet-2945	20	3	.	.	PROPN
admet-2945	20	4	admet	admet	PROPN
admet-2945	20	5	&	&	CCONJ
admet-2945	20	6	dmpk	dmpk	PROPN
admet-2945	20	7	13(5	13(5	NUM
admet-2945	20	8	)	)	PUNCT
admet-2945	20	9	(	(	PUNCT
admet-2945	20	10	2025	2025	NUM
admet-2945	20	11	)	)	PUNCT
admet-2945	20	12	2822	2822	NUM
admet-2945	20	13	2	2	NUM
admet-2945	20	14	the	the	DET
admet-2945	20	15	biopharmaceutical	biopharmaceutical	ADJ
admet-2945	20	16	drug	drug	NOUN
admet-2945	20	17	disposition	disposition	NOUN
admet-2945	20	18	classification	classification	NOUN
admet-2945	20	19	system	system	NOUN
admet-2945	20	20	(	(	PUNCT
admet-2945	20	21	bddcs	bddcs	NOUN
admet-2945	20	22	)	)	PUNCT
admet-2945	20	23	,	,	PUNCT
admet-2945	20	24	introduced	introduce	VERB
admet-2945	20	25	by	by	ADP
admet-2945	20	26	wu	wu	PROPN
admet-2945	20	27	and	and	CCONJ
admet-2945	20	28	benet	benet	PROPN
admet-2945	20	29	in	in	ADP
admet-2945	20	30	2005	2005	NUM
admet-2945	20	31	[	[	X
admet-2945	20	32	4	4	NUM
admet-2945	20	33	]	]	PUNCT
admet-2945	20	34	,	,	PUNCT
admet-2945	20	35	is	be	AUX
admet-2945	20	36	a	a	DET
admet-2945	20	37	well	well	ADV
admet-2945	20	38	-	-	PUNCT
admet-2945	20	39	established	establish	VERB
admet-2945	20	40	framework	framework	NOUN
admet-2945	20	41	that	that	PRON
admet-2945	20	42	categorizes	categorize	VERB
admet-2945	20	43	drugs	drug	NOUN
admet-2945	20	44	based	base	VERB
admet-2945	20	45	on	on	ADP
admet-2945	20	46	their	their	PRON
admet-2945	20	47	solubility	solubility	NOUN
admet-2945	20	48	and	and	CCONJ
admet-2945	20	49	extent	extent	NOUN
admet-2945	20	50	of	of	ADP
admet-2945	20	51	metabolism	metabolism	NOUN
admet-2945	20	52	,	,	PUNCT
admet-2945	20	53	thereby	thereby	ADV
admet-2945	20	54	providing	provide	VERB
admet-2945	20	55	enhanced	enhanced	ADJ
admet-2945	20	56	predictive	predictive	ADJ
admet-2945	20	57	insight	insight	NOUN
admet-2945	20	58	into	into	ADP
admet-2945	20	59	their	their	PRON
admet-2945	20	60	absorption	absorption	NOUN
admet-2945	20	61	,	,	PUNCT
admet-2945	20	62	distribution	distribution	NOUN
admet-2945	20	63	,	,	PUNCT
admet-2945	20	64	metabolism	metabolism	NOUN
admet-2945	20	65	and	and	CCONJ
admet-2945	20	66	excretion	excretion	NOUN
admet-2945	20	67	properties	property	NOUN
admet-2945	20	68	.	.	PUNCT
admet-2945	21	1	unlike	unlike	ADP
admet-2945	21	2	the	the	DET
admet-2945	21	3	earlier	early	ADJ
admet-2945	21	4	biopharmaceutics	biopharmaceutics	NOUN
admet-2945	21	5	classification	classification	NOUN
admet-2945	21	6	system	system	NOUN
admet-2945	21	7	,	,	PUNCT
admet-2945	21	8	which	which	PRON
admet-2945	21	9	focused	focus	VERB
admet-2945	21	10	primarily	primarily	ADV
admet-2945	21	11	on	on	ADP
admet-2945	21	12	solubility	solubility	NOUN
admet-2945	21	13	and	and	CCONJ
admet-2945	21	14	permeability	permeability	NOUN
admet-2945	21	15	,	,	PUNCT
admet-2945	21	16	bddcs	bddc	VERB
admet-2945	21	17	integrates	integrate	VERB
admet-2945	21	18	metabolic	metabolic	NOUN
admet-2945	21	19	data	datum	NOUN
admet-2945	21	20	to	to	PART
admet-2945	21	21	better	well	ADV
admet-2945	21	22	predict	predict	VERB
admet-2945	21	23	drug	drug	NOUN
admet-2945	21	24	disposition	disposition	NOUN
admet-2945	21	25	and	and	CCONJ
admet-2945	21	26	potential	potential	ADJ
admet-2945	21	27	formulation	formulation	NOUN
admet-2945	21	28	challenges	challenge	NOUN
admet-2945	21	29	[	[	X
admet-2945	21	30	5	5	NUM
admet-2945	21	31	]	]	PUNCT
admet-2945	21	32	.	.	PUNCT
admet-2945	22	1	bddcs	bddcs	PROPN
admet-2945	22	2	classifies	classify	VERB
admet-2945	22	3	drugs	drug	NOUN
admet-2945	22	4	into	into	ADP
admet-2945	22	5	four	four	NUM
admet-2945	22	6	categories	category	NOUN
admet-2945	22	7	based	base	VERB
admet-2945	22	8	on	on	ADP
admet-2945	22	9	their	their	PRON
admet-2945	22	10	solubility	solubility	NOUN
admet-2945	22	11	and	and	CCONJ
admet-2945	22	12	extent	extent	NOUN
admet-2945	22	13	of	of	ADP
admet-2945	22	14	metabolism	metabolism	NOUN
admet-2945	22	15	.	.	PUNCT
admet-2945	23	1	class	class	NOUN
admet-2945	23	2	1	1	NUM
admet-2945	23	3	drugs	drug	NOUN
admet-2945	23	4	exhibit	exhibit	VERB
admet-2945	23	5	high	high	ADJ
admet-2945	23	6	solubility	solubility	NOUN
admet-2945	23	7	and	and	CCONJ
admet-2945	23	8	extensive	extensive	ADJ
admet-2945	23	9	metabolism	metabolism	NOUN
admet-2945	23	10	,	,	PUNCT
admet-2945	23	11	whereas	whereas	SCONJ
admet-2945	23	12	class	class	NOUN
admet-2945	23	13	2	2	NUM
admet-2945	23	14	drugs	drug	NOUN
admet-2945	23	15	have	have	VERB
admet-2945	23	16	low	low	ADJ
admet-2945	23	17	solubility	solubility	NOUN
admet-2945	23	18	but	but	CCONJ
admet-2945	23	19	still	still	ADV
admet-2945	23	20	undergo	undergo	VERB
admet-2945	23	21	extensive	extensive	ADJ
admet-2945	23	22	metabolism	metabolism	NOUN
admet-2945	23	23	.	.	PUNCT
admet-2945	24	1	class	class	NOUN
admet-2945	24	2	3	3	NUM
admet-2945	24	3	includes	include	VERB
admet-2945	24	4	drugs	drug	NOUN
admet-2945	24	5	with	with	ADP
admet-2945	24	6	high	high	ADJ
admet-2945	24	7	solubility	solubility	NOUN
admet-2945	24	8	but	but	CCONJ
admet-2945	24	9	poor	poor	ADJ
admet-2945	24	10	metabolism	metabolism	NOUN
admet-2945	24	11	,	,	PUNCT
admet-2945	24	12	and	and	CCONJ
admet-2945	24	13	class	class	NOUN
admet-2945	24	14	4	4	NUM
admet-2945	24	15	comprises	comprise	VERB
admet-2945	24	16	drugs	drug	NOUN
admet-2945	24	17	characterized	characterize	VERB
admet-2945	24	18	by	by	ADP
admet-2945	24	19	both	both	PRON
admet-2945	24	20	low	low	ADJ
admet-2945	24	21	solubility	solubility	NOUN
admet-2945	24	22	and	and	CCONJ
admet-2945	24	23	poor	poor	ADJ
admet-2945	24	24	metabolism	metabolism	NOUN
admet-2945	24	25	.	.	PUNCT
admet-2945	25	1	this	this	DET
admet-2945	25	2	classification	classification	NOUN
admet-2945	25	3	aids	aid	NOUN
admet-2945	25	4	in	in	ADP
admet-2945	25	5	anticipating	anticipate	VERB
admet-2945	25	6	bioavailability	bioavailability	NOUN
admet-2945	25	7	issues	issue	NOUN
admet-2945	25	8	,	,	PUNCT
admet-2945	25	9	understanding	understand	VERB
admet-2945	25	10	transporter	transporter	NOUN
admet-2945	25	11	effects	effect	NOUN
admet-2945	25	12	,	,	PUNCT
admet-2945	25	13	and	and	CCONJ
admet-2945	25	14	predicting	predict	VERB
admet-2945	25	15	drug	drug	NOUN
admet-2945	25	16	-	-	PUNCT
admet-2945	25	17	drug	drug	NOUN
admet-2945	25	18	interactions	interaction	NOUN
admet-2945	25	19	,	,	PUNCT
admet-2945	25	20	while	while	SCONJ
admet-2945	25	21	also	also	ADV
admet-2945	25	22	providing	provide	VERB
admet-2945	25	23	insights	insight	NOUN
admet-2945	25	24	relevant	relevant	ADJ
admet-2945	25	25	to	to	ADP
admet-2945	25	26	food	food	NOUN
admet-2945	25	27	-	-	PUNCT
admet-2945	25	28	drug	drug	NOUN
admet-2945	25	29	interaction	interaction	NOUN
admet-2945	25	30	potential	potential	NOUN
admet-2945	25	31	[	[	X
admet-2945	25	32	6,7	6,7	NUM
admet-2945	25	33	]	]	PUNCT
admet-2945	25	34	.	.	PUNCT
admet-2945	26	1	given	give	VERB
admet-2945	26	2	the	the	DET
admet-2945	26	3	importance	importance	NOUN
admet-2945	26	4	of	of	ADP
admet-2945	26	5	accurately	accurately	ADV
admet-2945	26	6	predicting	predict	VERB
admet-2945	26	7	these	these	DET
admet-2945	26	8	properties	property	NOUN
admet-2945	26	9	to	to	PART
admet-2945	26	10	enhance	enhance	VERB
admet-2945	26	11	drug	drug	NOUN
admet-2945	26	12	development	development	NOUN
admet-2945	26	13	and	and	CCONJ
admet-2945	26	14	improve	improve	VERB
admet-2945	26	15	patient	patient	ADJ
admet-2945	26	16	outcomes	outcome	NOUN
admet-2945	26	17	,	,	PUNCT
admet-2945	26	18	this	this	DET
admet-2945	26	19	study	study	NOUN
admet-2945	26	20	aims	aim	VERB
admet-2945	26	21	to	to	PART
admet-2945	26	22	develop	develop	VERB
admet-2945	26	23	predictive	predictive	ADJ
admet-2945	26	24	models	model	NOUN
admet-2945	26	25	for	for	ADP
admet-2945	26	26	the	the	DET
admet-2945	26	27	metabolism	metabolism	NOUN
admet-2945	26	28	and	and	CCONJ
admet-2945	26	29	solubility	solubility	NOUN
admet-2945	26	30	of	of	ADP
admet-2945	26	31	tablet	tablet	NOUN
admet-2945	26	32	-	-	PUNCT
admet-2945	26	33	form	form	NOUN
admet-2945	26	34	drugs	drug	NOUN
admet-2945	26	35	based	base	VERB
admet-2945	26	36	on	on	ADP
admet-2945	26	37	the	the	DET
admet-2945	26	38	principles	principle	NOUN
admet-2945	26	39	of	of	ADP
admet-2945	26	40	the	the	DET
admet-2945	26	41	bddcs	bddc	NOUN
admet-2945	26	42	,	,	PUNCT
admet-2945	26	43	utilizing	utilize	VERB
admet-2945	26	44	molecular	molecular	ADJ
admet-2945	26	45	descriptors	descriptor	NOUN
admet-2945	26	46	and	and	CCONJ
admet-2945	26	47	chemometric	chemometric	ADJ
admet-2945	26	48	methods	method	NOUN
admet-2945	26	49	.	.	PUNCT
admet-2945	27	1	experimental	experimental	ADJ
admet-2945	27	2	dataset	dataset	NOUN
admet-2945	27	3	of	of	ADP
admet-2945	27	4	tablet	tablet	NOUN
admet-2945	27	5	-	-	PUNCT
admet-2945	27	6	form	form	NOUN
admet-2945	27	7	drugs	drug	NOUN
admet-2945	27	8	and	and	CCONJ
admet-2945	27	9	molecular	molecular	ADJ
admet-2945	27	10	descriptors	descriptor	NOUN
admet-2945	27	11	the	the	DET
admet-2945	27	12	studied	study	VERB
admet-2945	27	13	dataset	dataset	NOUN
admet-2945	27	14	includes	include	VERB
admet-2945	27	15	220	220	NUM
admet-2945	27	16	tablet	tablet	ADJ
admet-2945	27	17	-	-	PUNCT
admet-2945	27	18	form	form	NOUN
admet-2945	27	19	drugs	drug	NOUN
admet-2945	27	20	characterized	characterize	VERB
admet-2945	27	21	by	by	ADP
admet-2945	27	22	eleven	eleven	NUM
admet-2945	27	23	molecular	molecular	ADJ
admet-2945	27	24	descriptors	descriptor	NOUN
admet-2945	27	25	:	:	PUNCT
admet-2945	27	26	hydrogen	hydrogen	NOUN
admet-2945	27	27	bond	bond	NOUN
admet-2945	27	28	acidity	acidity	NOUN
admet-2945	27	29	(	(	PUNCT
admet-2945	27	30	a	a	NOUN
admet-2945	27	31	)	)	PUNCT
admet-2945	27	32	,	,	PUNCT
admet-2945	27	33	hydrogen	hydrogen	NOUN
admet-2945	27	34	bond	bond	NOUN
admet-2945	27	35	basicity	basicity	NOUN
admet-2945	27	36	(	(	PUNCT
admet-2945	27	37	b	b	NOUN
admet-2945	27	38	)	)	PUNCT
admet-2945	27	39	,	,	PUNCT
admet-2945	27	40	dipolarity	dipolarity	NOUN
admet-2945	27	41	/	/	SYM
admet-2945	27	42	polarizability	polarizability	NOUN
admet-2945	27	43	(	(	PUNCT
admet-2945	27	44	s	s	NOUN
admet-2945	27	45	)	)	PUNCT
admet-2945	27	46	,	,	PUNCT
admet-2945	27	47	excess	excess	ADJ
admet-2945	27	48	molar	molar	ADJ
admet-2945	27	49	refraction	refraction	NOUN
admet-2945	27	50	(	(	PUNCT
admet-2945	27	51	e	e	NOUN
admet-2945	27	52	)	)	PUNCT
admet-2945	27	53	,	,	PUNCT
admet-2945	27	54	logarithm	logarithm	NOUN
admet-2945	27	55	of	of	ADP
admet-2945	27	56	the	the	DET
admet-2945	27	57	partition	partition	NOUN
admet-2945	27	58	coefficient	coefficient	NOUN
admet-2945	27	59	(	(	PUNCT
admet-2945	27	60	log	log	VERB
admet-2945	27	61	p	p	NOUN
admet-2945	27	62	)	)	PUNCT
admet-2945	27	63	,	,	PUNCT
admet-2945	27	64	distribution	distribution	NOUN
admet-2945	27	65	coefficient	coefficient	NOUN
admet-2945	27	66	(	(	PUNCT
admet-2945	27	67	log	log	NOUN
admet-2945	27	68	d	d	NOUN
admet-2945	27	69	)	)	PUNCT
admet-2945	27	70	,	,	PUNCT
admet-2945	27	71	rotatable	rotatable	ADJ
admet-2945	27	72	bond	bond	NOUN
admet-2945	27	73	count	count	NOUN
admet-2945	27	74	(	(	PUNCT
admet-2945	27	75	rotb	rotb	PROPN
admet-2945	27	76	)	)	PUNCT
admet-2945	27	77	,	,	PUNCT
admet-2945	27	78	hydrogen	hydrogen	NOUN
admet-2945	27	79	bond	bond	NOUN
admet-2945	27	80	acceptor	acceptor	NOUN
admet-2945	27	81	count	count	NOUN
admet-2945	27	82	(	(	PUNCT
admet-2945	27	83	hba	hba	NOUN
admet-2945	27	84	)	)	PUNCT
admet-2945	27	85	,	,	PUNCT
admet-2945	27	86	hydrogen	hydrogen	NOUN
admet-2945	27	87	bond	bond	NOUN
admet-2945	27	88	donor	donor	NOUN
admet-2945	27	89	count	count	NOUN
admet-2945	27	90	(	(	PUNCT
admet-2945	27	91	hbd	hbd	NOUN
admet-2945	27	92	)	)	PUNCT
admet-2945	27	93	,	,	PUNCT
admet-2945	27	94	molecular	molecular	ADJ
admet-2945	27	95	weight	weight	NOUN
admet-2945	27	96	(	(	PUNCT
admet-2945	27	97	mw	mw	NOUN
admet-2945	27	98	)	)	PUNCT
admet-2945	27	99	,	,	PUNCT
admet-2945	27	100	and	and	CCONJ
admet-2945	27	101	polar	polar	ADJ
admet-2945	27	102	surface	surface	NOUN
admet-2945	27	103	area	area	NOUN
admet-2945	27	104	(	(	PUNCT
admet-2945	27	105	psa	psa	NOUN
admet-2945	27	106	)	)	PUNCT
admet-2945	27	107	.	.	PUNCT
admet-2945	28	1	values	value	NOUN
admet-2945	28	2	for	for	ADP
admet-2945	28	3	these	these	DET
admet-2945	28	4	descriptors	descriptor	NOUN
admet-2945	28	5	were	be	AUX
admet-2945	28	6	obtained	obtain	VERB
admet-2945	28	7	from	from	ADP
admet-2945	28	8	the	the	DET
admet-2945	28	9	pubchem	pubchem	NOUN
admet-2945	28	10	database	database	NOUN
admet-2945	28	11	(	(	PUNCT
admet-2945	28	12	https://pubchem.ncbi.nlm.nih.gov/	https://pubchem.ncbi.nlm.nih.gov/	PROPN
admet-2945	28	13	)	)	PUNCT
admet-2945	28	14	and	and	CCONJ
admet-2945	28	15	[	[	X
admet-2945	28	16	8	8	NUM
admet-2945	28	17	]	]	PUNCT
admet-2945	28	18	.	.	PUNCT
admet-2945	29	1	log	log	PROPN
admet-2945	29	2	p	p	NOUN
admet-2945	29	3	represents	represent	VERB
admet-2945	29	4	the	the	DET
admet-2945	29	5	partition	partition	NOUN
admet-2945	29	6	coefficient	coefficient	NOUN
admet-2945	29	7	of	of	ADP
admet-2945	29	8	the	the	DET
admet-2945	29	9	neutral	neutral	ADJ
admet-2945	29	10	molecule	molecule	NOUN
admet-2945	29	11	,	,	PUNCT
admet-2945	29	12	independent	independent	ADJ
admet-2945	29	13	of	of	ADP
admet-2945	29	14	ph	ph	NOUN
admet-2945	29	15	,	,	PUNCT
admet-2945	29	16	reflecting	reflect	VERB
admet-2945	29	17	its	its	PRON
admet-2945	29	18	intrinsic	intrinsic	ADJ
admet-2945	29	19	hydrophobicity	hydrophobicity	NOUN
admet-2945	29	20	.	.	PUNCT
admet-2945	30	1	in	in	ADP
admet-2945	30	2	contrast	contrast	NOUN
admet-2945	30	3	,	,	PUNCT
admet-2945	30	4	log	log	NOUN
admet-2945	30	5	d	d	NOUN
admet-2945	30	6	accounts	account	VERB
admet-2945	30	7	for	for	ADP
admet-2945	30	8	the	the	DET
admet-2945	30	9	distribution	distribution	NOUN
admet-2945	30	10	between	between	ADP
admet-2945	30	11	ionized	ionized	ADJ
admet-2945	30	12	and	and	CCONJ
admet-2945	30	13	unionized	unionized	ADJ
admet-2945	30	14	species	specie	NOUN
admet-2945	30	15	at	at	ADP
admet-2945	30	16	physiological	physiological	ADJ
admet-2945	30	17	ph	ph	NOUN
admet-2945	30	18	7.4	7.4	NUM
admet-2945	30	19	,	,	PUNCT
admet-2945	30	20	making	make	VERB
admet-2945	30	21	it	it	PRON
admet-2945	30	22	directly	directly	ADV
admet-2945	30	23	relevant	relevant	ADJ
admet-2945	30	24	for	for	ADP
admet-2945	30	25	drug	drug	NOUN
admet-2945	30	26	absorption	absorption	NOUN
admet-2945	30	27	and	and	CCONJ
admet-2945	30	28	distribution	distribution	NOUN
admet-2945	30	29	processes	process	NOUN
admet-2945	30	30	.	.	PUNCT
admet-2945	31	1	in	in	ADP
admet-2945	31	2	this	this	DET
admet-2945	31	3	study	study	NOUN
admet-2945	31	4	,	,	PUNCT
admet-2945	31	5	the	the	DET
admet-2945	31	6	prediction	prediction	NOUN
admet-2945	31	7	of	of	ADP
admet-2945	31	8	metabolism	metabolism	NOUN
admet-2945	31	9	and	and	CCONJ
admet-2945	31	10	solubility	solubility	NOUN
admet-2945	31	11	of	of	ADP
admet-2945	31	12	tablet	tablet	NOUN
admet-2945	31	13	-	-	PUNCT
admet-2945	31	14	form	form	NOUN
admet-2945	31	15	drugs	drug	NOUN
admet-2945	31	16	according	accord	VERB
admet-2945	31	17	to	to	ADP
admet-2945	31	18	the	the	DET
admet-2945	31	19	biopharmaceutical	biopharmaceutical	ADJ
admet-2945	31	20	drug	drug	NOUN
admet-2945	31	21	disposition	disposition	NOUN
admet-2945	31	22	classification	classification	NOUN
admet-2945	31	23	system	system	NOUN
admet-2945	31	24	is	be	AUX
admet-2945	31	25	understood	understand	VERB
admet-2945	31	26	as	as	ADP
admet-2945	31	27	classification	classification	NOUN
admet-2945	31	28	into	into	ADP
admet-2945	31	29	metabolic	metabolic	NOUN
admet-2945	31	30	and	and	CCONJ
admet-2945	31	31	solubility	solubility	NOUN
admet-2945	31	32	classes	class	NOUN
admet-2945	31	33	:	:	PUNCT
admet-2945	31	34	metabolism	metabolism	NOUN
admet-2945	31	35	is	be	AUX
admet-2945	31	36	categorized	categorize	VERB
admet-2945	31	37	as	as	ADP
admet-2945	31	38	extensive	extensive	ADJ
admet-2945	31	39	or	or	CCONJ
admet-2945	31	40	poor	poor	ADJ
admet-2945	31	41	(	(	PUNCT
admet-2945	31	42	corresponding	correspond	VERB
admet-2945	31	43	to	to	ADP
admet-2945	31	44	classes	class	NOUN
admet-2945	31	45	1	1	NUM
admet-2945	31	46	and	and	CCONJ
admet-2945	31	47	2	2	NUM
admet-2945	31	48	)	)	PUNCT
admet-2945	31	49	,	,	PUNCT
admet-2945	31	50	while	while	SCONJ
admet-2945	31	51	solubility	solubility	NOUN
admet-2945	31	52	is	be	AUX
admet-2945	31	53	classified	classify	VERB
admet-2945	31	54	as	as	ADP
admet-2945	31	55	high	high	ADJ
admet-2945	31	56	or	or	CCONJ
admet-2945	31	57	low	low	ADJ
admet-2945	31	58	(	(	PUNCT
admet-2945	31	59	also	also	ADV
admet-2945	31	60	corresponding	correspond	VERB
admet-2945	31	61	to	to	ADP
admet-2945	31	62	classes	class	NOUN
admet-2945	31	63	1	1	NUM
admet-2945	31	64	and	and	CCONJ
admet-2945	31	65	2	2	NUM
admet-2945	31	66	)	)	PUNCT
admet-2945	31	67	.	.	PUNCT
admet-2945	32	1	used	use	VERB
admet-2945	32	2	methods	method	NOUN
admet-2945	32	3	and	and	CCONJ
admet-2945	32	4	algorithms	algorithm	NOUN
admet-2945	32	5	the	the	DET
admet-2945	32	6	present	present	ADJ
admet-2945	32	7	study	study	NOUN
admet-2945	32	8	employed	employ	VERB
admet-2945	32	9	the	the	DET
admet-2945	32	10	kruskal	kruskal	NOUN
admet-2945	32	11	–	–	PUNCT
admet-2945	32	12	wallis	wallis	PROPN
admet-2945	32	13	test	test	NOUN
admet-2945	32	14	,	,	PUNCT
admet-2945	32	15	probabilistic	probabilistic	ADJ
admet-2945	32	16	neural	neural	ADJ
admet-2945	32	17	network	network	NOUN
admet-2945	32	18	(	(	PUNCT
admet-2945	32	19	pnn	pnn	PROPN
admet-2945	32	20	)	)	PUNCT
admet-2945	32	21	,	,	PUNCT
admet-2945	32	22	and	and	CCONJ
admet-2945	32	23	correlation	correlation	NOUN
admet-2945	32	24	analysis	analysis	NOUN
admet-2945	32	25	as	as	ADP
admet-2945	32	26	primary	primary	ADJ
admet-2945	32	27	research	research	NOUN
admet-2945	32	28	methods	method	NOUN
admet-2945	32	29	.	.	PUNCT
admet-2945	33	1	all	all	DET
admet-2945	33	2	computational	computational	ADJ
admet-2945	33	3	analyses	analysis	NOUN
admet-2945	33	4	were	be	AUX
admet-2945	33	5	performed	perform	VERB
admet-2945	33	6	using	use	VERB
admet-2945	33	7	matlab	matlab	PROPN
admet-2945	33	8	r2024b	r2024b	PROPN
admet-2945	33	9	software	software	NOUN
admet-2945	33	10	package	package	NOUN
admet-2945	33	11	(	(	PUNCT
admet-2945	33	12	https://www.mathworks.com/	https://www.mathworks.com/	NOUN
admet-2945	33	13	)	)	PUNCT
admet-2945	33	14	.	.	PUNCT
admet-2945	34	1	the	the	DET
admet-2945	34	2	kruskal	kruskal	PROPN
admet-2945	34	3	–	–	PUNCT
admet-2945	34	4	wallis	wallis	PROPN
admet-2945	34	5	test	test	NOUN
admet-2945	34	6	is	be	AUX
admet-2945	34	7	a	a	DET
admet-2945	34	8	non	non	ADJ
admet-2945	34	9	-	-	ADJ
admet-2945	34	10	parametric	parametric	ADJ
admet-2945	34	11	method	method	NOUN
admet-2945	34	12	used	use	VERB
admet-2945	34	13	to	to	PART
admet-2945	34	14	determine	determine	VERB
admet-2945	34	15	whether	whether	SCONJ
admet-2945	34	16	there	there	PRON
admet-2945	34	17	are	be	VERB
admet-2945	34	18	statistically	statistically	ADV
admet-2945	34	19	significant	significant	ADJ
admet-2945	34	20	differences	difference	NOUN
admet-2945	34	21	between	between	ADP
admet-2945	34	22	the	the	DET
admet-2945	34	23	distributions	distribution	NOUN
admet-2945	34	24	of	of	ADP
admet-2945	34	25	three	three	NUM
admet-2945	34	26	or	or	CCONJ
admet-2945	34	27	more	more	ADV
admet-2945	34	28	independent	independent	ADJ
admet-2945	34	29	groups	group	NOUN
admet-2945	34	30	.	.	PUNCT
admet-2945	35	1	this	this	DET
admet-2945	35	2	test	test	NOUN
admet-2945	35	3	is	be	AUX
admet-2945	35	4	based	base	VERB
admet-2945	35	5	on	on	ADP
admet-2945	35	6	the	the	DET
admet-2945	35	7	ranks	rank	NOUN
admet-2945	35	8	of	of	ADP
admet-2945	35	9	parameter	parameter	NOUN
admet-2945	35	10	values	value	NOUN
admet-2945	35	11	rather	rather	ADV
admet-2945	35	12	than	than	ADP
admet-2945	35	13	their	their	PRON
admet-2945	35	14	raw	raw	ADJ
admet-2945	35	15	numerical	numerical	ADJ
admet-2945	35	16	values	value	NOUN
admet-2945	35	17	,	,	PUNCT
admet-2945	35	18	allowing	allow	VERB
admet-2945	35	19	analysis	analysis	NOUN
admet-2945	35	20	of	of	ADP
admet-2945	35	21	non	non	ADJ
admet-2945	35	22	-	-	ADJ
admet-2945	35	23	normally	normally	ADV
admet-2945	35	24	distributed	distribute	VERB
admet-2945	35	25	data	datum	NOUN
admet-2945	35	26	.	.	PUNCT
admet-2945	36	1	it	it	PRON
admet-2945	36	2	compares	compare	VERB
admet-2945	36	3	the	the	DET
admet-2945	36	4	calculated	calculated	ADJ
admet-2945	36	5	chi	chi	ADJ
admet-2945	36	6	-	-	PUNCT
admet-2945	36	7	square	square	ADJ
admet-2945	36	8	statistic	statistic	NOUN
admet-2945	36	9	to	to	ADP
admet-2945	36	10	the	the	DET
admet-2945	36	11	critical	critical	ADJ
admet-2945	36	12	value	value	NOUN
admet-2945	36	13	from	from	ADP
admet-2945	36	14	the	the	DET
admet-2945	36	15	chi	chi	ADJ
admet-2945	36	16	-	-	PUNCT
admet-2945	36	17	square	square	ADJ
admet-2945	36	18	distribution	distribution	NOUN
admet-2945	36	19	table	table	NOUN
admet-2945	36	20	.	.	PUNCT
admet-2945	37	1	if	if	SCONJ
admet-2945	37	2	the	the	DET
admet-2945	37	3	calculated	calculate	VERB
admet-2945	37	4	value	value	NOUN
admet-2945	37	5	exceeds	exceed	VERB
admet-2945	37	6	the	the	DET
admet-2945	37	7	critical	critical	ADJ
admet-2945	37	8	value	value	NOUN
admet-2945	37	9	,	,	PUNCT
admet-2945	37	10	this	this	PRON
admet-2945	37	11	indicates	indicate	VERB
admet-2945	37	12	statistically	statistically	ADV
admet-2945	37	13	significant	significant	ADJ
admet-2945	37	14	differences	difference	NOUN
admet-2945	37	15	in	in	ADP
admet-2945	37	16	the	the	DET
admet-2945	37	17	tested	test	VERB
admet-2945	37	18	parameter	parameter	NOUN
admet-2945	37	19	across	across	ADP
admet-2945	37	20	groups	group	NOUN
admet-2945	37	21	,	,	PUNCT
admet-2945	37	22	implying	imply	VERB
admet-2945	37	23	that	that	SCONJ
admet-2945	37	24	the	the	DET
admet-2945	37	25	parameter	parameter	NOUN
admet-2945	37	26	influences	influence	VERB
admet-2945	37	27	group	group	NOUN
admet-2945	37	28	classification	classification	NOUN
admet-2945	37	29	.	.	PUNCT
admet-2945	38	1	otherwise	otherwise	ADV
admet-2945	38	2	,	,	PUNCT
admet-2945	38	3	no	no	DET
admet-2945	38	4	significant	significant	ADJ
admet-2945	38	5	differences	difference	NOUN
admet-2945	38	6	are	be	AUX
admet-2945	38	7	found	find	VERB
admet-2945	38	8	among	among	ADP
admet-2945	38	9	groups	group	NOUN
admet-2945	38	10	.	.	PUNCT
admet-2945	39	1	in	in	ADP
admet-2945	39	2	this	this	DET
admet-2945	39	3	study	study	NOUN
admet-2945	39	4	,	,	PUNCT
admet-2945	39	5	the	the	DET
admet-2945	39	6	kruskal	kruskal	PROPN
admet-2945	39	7	–	–	PUNCT
admet-2945	39	8	wallis	wallis	PROPN
admet-2945	39	9	test	test	NOUN
admet-2945	39	10	was	be	AUX
admet-2945	39	11	specifically	specifically	ADV
admet-2945	39	12	used	use	VERB
admet-2945	39	13	to	to	PART
admet-2945	39	14	identify	identify	VERB
admet-2945	39	15	which	which	PRON
admet-2945	39	16	molecular	molecular	ADJ
admet-2945	39	17	descriptors	descriptor	NOUN
admet-2945	39	18	significantly	significantly	ADV
admet-2945	39	19	affect	affect	VERB
admet-2945	39	20	the	the	DET
admet-2945	39	21	classification	classification	NOUN
admet-2945	39	22	of	of	ADP
admet-2945	39	23	https://pubchem.ncbi.nlm.nih.gov/	https://pubchem.ncbi.nlm.nih.gov/	PROPN
admet-2945	39	24	https://www.mathworks.com/	https://www.mathworks.com/	NOUN
admet-2945	39	25	admet	admet	PROPN
admet-2945	39	26	&	&	CCONJ
admet-2945	39	27	dmpk	dmpk	PROPN
admet-2945	39	28	3(5	3(5	NUM
admet-2945	39	29	)	)	PUNCT
admet-2945	39	30	(	(	PUNCT
admet-2945	39	31	2025	2025	NUM
admet-2945	39	32	)	)	PUNCT
admet-2945	39	33	2822	2822	NUM
admet-2945	39	34	prediction	prediction	NOUN
admet-2945	39	35	of	of	ADP
admet-2945	39	36	metabolism	metabolism	NOUN
admet-2945	39	37	and	and	CCONJ
admet-2945	39	38	solubility	solubility	NOUN
admet-2945	39	39	of	of	ADP
admet-2945	39	40	drugs	drug	NOUN
admet-2945	39	41	according	accord	VERB
admet-2945	39	42	to	to	ADP
admet-2945	39	43	bddcs	bddcs	PROPN
admet-2945	39	44	doi	doi	PROPN
admet-2945	39	45	:	:	PUNCT
admet-2945	39	46	https://doi.org/10.5599/admet.2945	https://doi.org/10.5599/admet.2945	ADJ
admet-2945	39	47	3	3	NUM
admet-2945	39	48	tablet	tablet	ADJ
admet-2945	39	49	-	-	PUNCT
admet-2945	39	50	form	form	NOUN
admet-2945	39	51	drugs	drug	NOUN
admet-2945	39	52	according	accord	VERB
admet-2945	39	53	to	to	ADP
admet-2945	39	54	their	their	PRON
admet-2945	39	55	metabolism	metabolism	NOUN
admet-2945	39	56	(	(	PUNCT
admet-2945	39	57	extensive	extensive	ADJ
admet-2945	39	58	vs.	vs.	X
admet-2945	39	59	poor	poor	ADJ
admet-2945	39	60	)	)	PUNCT
admet-2945	39	61	and	and	CCONJ
admet-2945	39	62	solubility	solubility	NOUN
admet-2945	39	63	(	(	PUNCT
admet-2945	39	64	high	high	ADJ
admet-2945	39	65	vs.	vs.	X
admet-2945	39	66	low	low	ADJ
admet-2945	39	67	)	)	PUNCT
admet-2945	39	68	within	within	ADP
admet-2945	39	69	the	the	DET
admet-2945	39	70	biopharmaceutical	biopharmaceutical	ADJ
admet-2945	39	71	drug	drug	NOUN
admet-2945	39	72	disposition	disposition	NOUN
admet-2945	39	73	classification	classification	NOUN
admet-2945	39	74	system	system	NOUN
admet-2945	39	75	[	[	X
admet-2945	39	76	9,10	9,10	NUM
admet-2945	39	77	]	]	X
admet-2945	39	78	.	.	PUNCT
admet-2945	40	1	to	to	PART
admet-2945	40	2	ensure	ensure	VERB
admet-2945	40	3	the	the	DET
admet-2945	40	4	appropriateness	appropriateness	NOUN
admet-2945	40	5	of	of	ADP
admet-2945	40	6	nonparametric	nonparametric	ADJ
admet-2945	40	7	analysis	analysis	NOUN
admet-2945	40	8	,	,	PUNCT
admet-2945	40	9	the	the	DET
admet-2945	40	10	distribution	distribution	NOUN
admet-2945	40	11	of	of	ADP
admet-2945	40	12	all	all	DET
admet-2945	40	13	molecular	molecular	ADJ
admet-2945	40	14	descriptors	descriptor	NOUN
admet-2945	40	15	was	be	AUX
admet-2945	40	16	first	first	ADV
admet-2945	40	17	assessed	assess	VERB
admet-2945	40	18	.	.	PUNCT
admet-2945	41	1	normality	normality	NOUN
admet-2945	41	2	was	be	AUX
admet-2945	41	3	evaluated	evaluate	VERB
admet-2945	41	4	using	use	VERB
admet-2945	41	5	the	the	DET
admet-2945	41	6	lilliefors	lilliefor	NOUN
admet-2945	41	7	test	test	NOUN
admet-2945	41	8	,	,	PUNCT
admet-2945	41	9	complemented	complement	VERB
admet-2945	41	10	by	by	ADP
admet-2945	41	11	skewness	skewness	NOUN
admet-2945	41	12	and	and	CCONJ
admet-2945	41	13	kurtosis	kurtosis	VERB
admet-2945	41	14	statistics	statistic	NOUN
admet-2945	42	1	[	[	X
admet-2945	42	2	11,12	11,12	NUM
admet-2945	42	3	]	]	PUNCT
admet-2945	42	4	.	.	PUNCT
admet-2945	43	1	the	the	DET
admet-2945	43	2	lilliefors	lilliefor	NOUN
admet-2945	43	3	test	test	NOUN
admet-2945	43	4	is	be	AUX
admet-2945	43	5	a	a	DET
admet-2945	43	6	modification	modification	NOUN
admet-2945	43	7	of	of	ADP
admet-2945	43	8	the	the	DET
admet-2945	43	9	kolmogorov	kolmogorov	PROPN
admet-2945	43	10	–	–	PUNCT
admet-2945	43	11	smirnov	smirnov	ADJ
admet-2945	43	12	test	test	NOUN
admet-2945	43	13	suitable	suitable	ADJ
admet-2945	43	14	when	when	SCONJ
admet-2945	43	15	the	the	DET
admet-2945	43	16	mean	mean	ADJ
admet-2945	43	17	and	and	CCONJ
admet-2945	43	18	standard	standard	ADJ
admet-2945	43	19	deviation	deviation	NOUN
admet-2945	43	20	are	be	AUX
admet-2945	43	21	estimated	estimate	VERB
admet-2945	43	22	from	from	ADP
admet-2945	43	23	the	the	DET
admet-2945	43	24	sample	sample	NOUN
admet-2945	43	25	rather	rather	ADV
admet-2945	43	26	than	than	ADP
admet-2945	43	27	known	know	VERB
admet-2945	43	28	a	a	DET
admet-2945	43	29	priori	priori	ADV
admet-2945	43	30	.	.	PUNCT
admet-2945	44	1	this	this	DET
admet-2945	44	2	test	test	NOUN
admet-2945	44	3	determines	determine	VERB
admet-2945	44	4	whether	whether	SCONJ
admet-2945	44	5	a	a	DET
admet-2945	44	6	variable	variable	NOUN
admet-2945	44	7	deviates	deviate	VERB
admet-2945	44	8	from	from	ADP
admet-2945	44	9	a	a	DET
admet-2945	44	10	normal	normal	ADJ
admet-2945	44	11	distribution	distribution	NOUN
admet-2945	44	12	,	,	PUNCT
admet-2945	44	13	returning	return	VERB
admet-2945	44	14	a	a	DET
admet-2945	44	15	significance	significance	NOUN
admet-2945	44	16	value	value	NOUN
admet-2945	44	17	(	(	PUNCT
admet-2945	44	18	p	p	NOUN
admet-2945	44	19	-	-	PUNCT
admet-2945	44	20	value	value	NOUN
admet-2945	44	21	)	)	PUNCT
admet-2945	44	22	and	and	CCONJ
admet-2945	44	23	a	a	DET
admet-2945	44	24	binary	binary	ADJ
admet-2945	44	25	indicator	indicator	NOUN
admet-2945	44	26	h	h	PROPN
admet-2945	44	27	(	(	PUNCT
admet-2945	44	28	1	1	NUM
admet-2945	44	29	if	if	SCONJ
admet-2945	44	30	non	non	ADJ
admet-2945	44	31	-	-	ADJ
admet-2945	44	32	normal	normal	ADJ
admet-2945	44	33	,	,	PUNCT
admet-2945	44	34	0	0	NUM
admet-2945	44	35	if	if	SCONJ
admet-2945	44	36	normal	normal	ADJ
admet-2945	44	37	)	)	PUNCT
admet-2945	44	38	.	.	PUNCT
admet-2945	45	1	the	the	DET
admet-2945	45	2	results	result	NOUN
admet-2945	45	3	(	(	PUNCT
admet-2945	45	4	table	table	NOUN
admet-2945	45	5	1	1	NUM
admet-2945	45	6	)	)	PUNCT
admet-2945	45	7	show	show	VERB
admet-2945	45	8	that	that	SCONJ
admet-2945	45	9	only	only	ADV
admet-2945	45	10	two	two	NUM
admet-2945	45	11	descriptors	descriptor	NOUN
admet-2945	45	12	(	(	PUNCT
admet-2945	45	13	logarithm	logarithm	NOUN
admet-2945	45	14	of	of	ADP
admet-2945	45	15	the	the	DET
admet-2945	45	16	partition	partition	NOUN
admet-2945	45	17	coefficient	coefficient	NOUN
admet-2945	45	18	and	and	CCONJ
admet-2945	45	19	distribution	distribution	NOUN
admet-2945	45	20	coefficient	coefficient	NOUN
admet-2945	45	21	)	)	PUNCT
admet-2945	45	22	followed	follow	VERB
admet-2945	45	23	a	a	DET
admet-2945	45	24	normal	normal	ADJ
admet-2945	45	25	distribution	distribution	NOUN
admet-2945	45	26	(	(	PUNCT
admet-2945	45	27	p	p	DET
admet-2945	45	28	≥	≥	NOUN
admet-2945	45	29	0.05	0.05	NUM
admet-2945	45	30	)	)	PUNCT
admet-2945	45	31	,	,	PUNCT
admet-2945	45	32	while	while	SCONJ
admet-2945	45	33	the	the	DET
admet-2945	45	34	remaining	remain	VERB
admet-2945	45	35	nine	nine	NUM
admet-2945	45	36	descriptors	descriptor	NOUN
admet-2945	45	37	significantly	significantly	ADV
admet-2945	45	38	deviated	deviate	VERB
admet-2945	45	39	from	from	ADP
admet-2945	45	40	normality	normality	NOUN
admet-2945	45	41	(	(	PUNCT
admet-2945	45	42	p	p	X
admet-2945	45	43	<	<	X
admet-2945	45	44	0.05	0.05	NUM
admet-2945	45	45	)	)	PUNCT
admet-2945	45	46	.	.	PUNCT
admet-2945	46	1	skewness	skewness	NOUN
admet-2945	46	2	and	and	CCONJ
admet-2945	46	3	kurtosis	kurtosis	VERB
admet-2945	46	4	values	value	NOUN
admet-2945	46	5	further	far	ADV
admet-2945	46	6	confirm	confirm	VERB
admet-2945	46	7	asymmetry	asymmetry	NOUN
admet-2945	46	8	and	and	CCONJ
admet-2945	46	9	heavy	heavy	ADJ
admet-2945	46	10	tails	tail	NOUN
admet-2945	46	11	in	in	ADP
admet-2945	46	12	the	the	DET
admet-2945	46	13	distributions	distribution	NOUN
admet-2945	46	14	of	of	ADP
admet-2945	46	15	non	non	ADJ
admet-2945	46	16	-	-	ADJ
admet-2945	46	17	normal	normal	ADJ
admet-2945	46	18	descriptors	descriptor	NOUN
admet-2945	46	19	.	.	PUNCT
admet-2945	47	1	these	these	DET
admet-2945	47	2	findings	finding	NOUN
admet-2945	47	3	support	support	VERB
admet-2945	47	4	the	the	DET
admet-2945	47	5	use	use	NOUN
admet-2945	47	6	of	of	ADP
admet-2945	47	7	the	the	DET
admet-2945	47	8	nonparametric	nonparametric	NOUN
admet-2945	47	9	kruskal	kruskal	PROPN
admet-2945	47	10	–	–	PUNCT
admet-2945	47	11	wallis	wallis	PROPN
admet-2945	47	12	test	test	NOUN
admet-2945	47	13	to	to	PART
admet-2945	47	14	identify	identify	VERB
admet-2945	47	15	descriptors	descriptor	NOUN
admet-2945	47	16	that	that	PRON
admet-2945	47	17	significantly	significantly	ADV
admet-2945	47	18	influence	influence	NOUN
admet-2945	47	19	group	group	NOUN
admet-2945	47	20	classification	classification	NOUN
admet-2945	47	21	.	.	PUNCT
admet-2945	48	1	table	table	NOUN
admet-2945	48	2	1	1	NUM
admet-2945	48	3	.	.	PUNCT
admet-2945	48	4	normality	normality	ADJ
admet-2945	48	5	assessment	assessment	NOUN
admet-2945	48	6	of	of	ADP
admet-2945	48	7	molecular	molecular	ADJ
admet-2945	48	8	descriptors	descriptor	NOUN
admet-2945	48	9	descriptor	descriptor	NOUN
admet-2945	48	10	skewness	skewness	NOUN
admet-2945	48	11	kurtosis	kurtosis	VERB
admet-2945	48	12	lilliefors	lilliefor	NOUN
admet-2945	48	13	p	p	NOUN
admet-2945	48	14	lilliefors	lilliefor	NOUN
admet-2945	48	15	h	h	PROPN
admet-2945	48	16	hydrogen	hydrogen	NOUN
admet-2945	48	17	bond	bond	NOUN
admet-2945	48	18	acidity	acidity	NOUN
admet-2945	48	19	0.95	0.95	NUM
admet-2945	48	20	3.89	3.89	NUM
admet-2945	48	21	0.0010	0.0010	NUM
admet-2945	48	22	1	1	NUM
admet-2945	48	23	hydrogen	hydrogen	NOUN
admet-2945	48	24	bond	bond	NOUN
admet-2945	48	25	basicity	basicity	NOUN
admet-2945	48	26	1.54	1.54	NUM
admet-2945	48	27	6.03	6.03	NUM
admet-2945	48	28	0.0010	0.0010	NUM
admet-2945	48	29	1	1	NUM
admet-2945	48	30	dipolarity	dipolarity	NOUN
admet-2945	48	31	/	/	SYM
admet-2945	48	32	polarizability	polarizability	NOUN
admet-2945	48	33	0.50	0.50	NUM
admet-2945	48	34	3.30	3.30	NUM
admet-2945	48	35	0.0048	0.0048	NUM
admet-2945	48	36	1	1	NUM
admet-2945	48	37	excess	excess	ADJ
admet-2945	48	38	molar	molar	ADJ
admet-2945	48	39	refraction	refraction	NOUN
admet-2945	48	40	3.18	3.18	NUM
admet-2945	48	41	26.74	26.74	NUM
admet-2945	48	42	0.0010	0.0010	NUM
admet-2945	48	43	1	1	NUM
admet-2945	48	44	logarithm	logarithm	NOUN
admet-2945	48	45	of	of	ADP
admet-2945	48	46	the	the	DET
admet-2945	48	47	partition	partition	NOUN
admet-2945	48	48	coefficient	coefficient	NOUN
admet-2945	48	49	0.037	0.037	NUM
admet-2945	48	50	2.49	2.49	NUM
admet-2945	48	51	0.50	0.50	NUM
admet-2945	48	52	0	0	NUM
admet-2945	48	53	distribution	distribution	NOUN
admet-2945	48	54	coefficient	coefficient	NOUN
admet-2945	48	55	0.15	0.15	NUM
admet-2945	48	56	3.71	3.71	NUM
admet-2945	48	57	0.50	0.50	NUM
admet-2945	48	58	0	0	NUM
admet-2945	48	59	rotatable	rotatable	ADJ
admet-2945	48	60	bond	bond	NOUN
admet-2945	48	61	count	count	NOUN
admet-2945	48	62	1.26	1.26	NUM
admet-2945	48	63	6.60	6.60	NUM
admet-2945	48	64	0.0010	0.0010	NUM
admet-2945	48	65	1	1	NUM
admet-2945	48	66	hydrogen	hydrogen	NOUN
admet-2945	48	67	bond	bond	NOUN
admet-2945	48	68	acceptor	acceptor	NOUN
admet-2945	48	69	count	count	NOUN
admet-2945	48	70	2.38	2.38	NUM
admet-2945	48	71	15.02	15.02	NUM
admet-2945	48	72	0.0010	0.0010	NUM
admet-2945	48	73	1	1	NUM
admet-2945	48	74	hydrogen	hydrogen	NOUN
admet-2945	48	75	bond	bond	NOUN
admet-2945	48	76	donor	donor	NOUN
admet-2945	48	77	count	count	VERB
admet-2945	48	78	0.95	0.95	NUM
admet-2945	48	79	3.77	3.77	NUM
admet-2945	48	80	0.0010	0.0010	NUM
admet-2945	48	81	1	1	NUM
admet-2945	48	82	molecular	molecular	ADJ
admet-2945	48	83	weight	weight	NOUN
admet-2945	48	84	1.73	1.73	NUM
admet-2945	48	85	8.87	8.87	NUM
admet-2945	48	86	0.0010	0.0010	NUM
admet-2945	48	87	1	1	NUM
admet-2945	48	88	polar	polar	ADJ
admet-2945	48	89	surface	surface	NOUN
admet-2945	48	90	area	area	NOUN
admet-2945	48	91	0.64	0.64	NUM
admet-2945	48	92	3.13	3.13	NUM
admet-2945	48	93	0.0024	0.0024	NUM
admet-2945	48	94	1	1	NUM
admet-2945	48	95	a	a	DET
admet-2945	48	96	probabilistic	probabilistic	ADJ
admet-2945	48	97	neural	neural	ADJ
admet-2945	48	98	network	network	NOUN
admet-2945	48	99	is	be	AUX
admet-2945	48	100	a	a	DET
admet-2945	48	101	feedforward	feedforward	ADJ
admet-2945	48	102	neural	neural	ADJ
admet-2945	48	103	network	network	NOUN
admet-2945	48	104	used	use	VERB
admet-2945	48	105	primarily	primarily	ADV
admet-2945	48	106	for	for	ADP
admet-2945	48	107	classification	classification	NOUN
admet-2945	48	108	.	.	PUNCT
admet-2945	49	1	based	base	VERB
admet-2945	49	2	on	on	ADP
admet-2945	49	3	bayesian	bayesian	NOUN
admet-2945	49	4	theory	theory	NOUN
admet-2945	49	5	,	,	PUNCT
admet-2945	49	6	it	it	PRON
admet-2945	49	7	employs	employ	VERB
admet-2945	49	8	kernel	kernel	NOUN
admet-2945	49	9	-	-	PUNCT
admet-2945	49	10	based	base	VERB
admet-2945	49	11	probability	probability	NOUN
admet-2945	49	12	estimation	estimation	NOUN
admet-2945	49	13	to	to	PART
admet-2945	49	14	calculate	calculate	VERB
admet-2945	49	15	the	the	DET
admet-2945	49	16	likelihood	likelihood	NOUN
admet-2945	49	17	of	of	ADP
admet-2945	49	18	an	an	DET
admet-2945	49	19	input	input	NOUN
admet-2945	49	20	belonging	belong	VERB
admet-2945	49	21	to	to	ADP
admet-2945	49	22	each	each	DET
admet-2945	49	23	class	class	NOUN
admet-2945	49	24	.	.	PUNCT
admet-2945	50	1	its	its	PRON
admet-2945	50	2	architecture	architecture	NOUN
admet-2945	50	3	consists	consist	VERB
admet-2945	50	4	of	of	ADP
admet-2945	50	5	four	four	NUM
admet-2945	50	6	layers	layer	NOUN
admet-2945	50	7	:	:	PUNCT
admet-2945	50	8	input	input	NOUN
admet-2945	50	9	,	,	PUNCT
admet-2945	50	10	pattern	pattern	NOUN
admet-2945	50	11	(	(	PUNCT
admet-2945	50	12	with	with	ADP
admet-2945	50	13	neurons	neuron	NOUN
admet-2945	50	14	representing	represent	VERB
admet-2945	50	15	training	training	NOUN
admet-2945	50	16	samples	sample	NOUN
admet-2945	50	17	)	)	PUNCT
admet-2945	50	18	,	,	PUNCT
admet-2945	50	19	summation	summation	NOUN
admet-2945	50	20	(	(	PUNCT
admet-2945	50	21	aggregating	aggregate	VERB
admet-2945	50	22	class	class	NOUN
admet-2945	50	23	probabilities	probability	NOUN
admet-2945	50	24	)	)	PUNCT
admet-2945	50	25	,	,	PUNCT
admet-2945	50	26	and	and	CCONJ
admet-2945	50	27	output	output	NOUN
admet-2945	50	28	(	(	PUNCT
admet-2945	50	29	selecting	select	VERB
admet-2945	50	30	the	the	DET
admet-2945	50	31	class	class	NOUN
admet-2945	50	32	with	with	ADP
admet-2945	50	33	the	the	DET
admet-2945	50	34	highest	high	ADJ
admet-2945	50	35	probability	probability	NOUN
admet-2945	50	36	)	)	PUNCT
admet-2945	50	37	.	.	PUNCT
admet-2945	51	1	pnns	pnn	NOUN
admet-2945	51	2	offer	offer	VERB
admet-2945	51	3	fast	fast	ADJ
admet-2945	51	4	training	training	NOUN
admet-2945	51	5	,	,	PUNCT
admet-2945	51	6	high	high	ADJ
admet-2945	51	7	accuracy	accuracy	NOUN
admet-2945	51	8	,	,	PUNCT
admet-2945	51	9	and	and	CCONJ
admet-2945	51	10	robustness	robustness	NOUN
admet-2945	51	11	to	to	ADP
admet-2945	51	12	noise	noise	NOUN
admet-2945	51	13	,	,	PUNCT
admet-2945	51	14	but	but	CCONJ
admet-2945	51	15	can	can	AUX
admet-2945	51	16	be	be	AUX
admet-2945	51	17	memoryintensive	memoryintensive	ADJ
admet-2945	51	18	and	and	CCONJ
admet-2945	51	19	slower	slow	ADJ
admet-2945	51	20	during	during	ADP
admet-2945	51	21	prediction	prediction	NOUN
admet-2945	51	22	on	on	ADP
admet-2945	51	23	large	large	ADJ
admet-2945	51	24	datasets	dataset	NOUN
admet-2945	51	25	due	due	ADJ
admet-2945	51	26	to	to	ADP
admet-2945	51	27	explicit	explicit	ADJ
admet-2945	51	28	storage	storage	NOUN
admet-2945	51	29	of	of	ADP
admet-2945	51	30	training	training	NOUN
admet-2945	51	31	samples	sample	NOUN
admet-2945	51	32	[	[	X
admet-2945	51	33	13	13	NUM
admet-2945	51	34	]	]	PUNCT
admet-2945	51	35	.	.	PUNCT
admet-2945	52	1	a	a	DET
admet-2945	52	2	key	key	ADJ
admet-2945	52	3	parameter	parameter	NOUN
admet-2945	52	4	in	in	ADP
admet-2945	52	5	pnn	pnn	PROPN
admet-2945	52	6	is	be	AUX
admet-2945	52	7	the	the	DET
admet-2945	52	8	spread	spread	NOUN
admet-2945	52	9	,	,	PUNCT
admet-2945	52	10	which	which	PRON
admet-2945	52	11	controls	control	VERB
admet-2945	52	12	the	the	DET
admet-2945	52	13	smoothness	smoothness	NOUN
admet-2945	52	14	of	of	ADP
admet-2945	52	15	the	the	DET
admet-2945	52	16	decision	decision	NOUN
admet-2945	52	17	boundaries	boundary	NOUN
admet-2945	52	18	by	by	ADP
admet-2945	52	19	influencing	influence	VERB
admet-2945	52	20	the	the	DET
admet-2945	52	21	width	width	NOUN
admet-2945	52	22	of	of	ADP
admet-2945	52	23	the	the	DET
admet-2945	52	24	kernel	kernel	PROPN
admet-2945	52	25	functions	function	NOUN
admet-2945	52	26	.	.	PUNCT
admet-2945	53	1	selecting	select	VERB
admet-2945	53	2	an	an	DET
admet-2945	53	3	appropriate	appropriate	ADJ
admet-2945	53	4	spread	spread	NOUN
admet-2945	53	5	value	value	NOUN
admet-2945	53	6	is	be	AUX
admet-2945	53	7	crucial	crucial	ADJ
admet-2945	53	8	for	for	ADP
admet-2945	53	9	balancing	balance	VERB
admet-2945	53	10	generalization	generalization	NOUN
admet-2945	53	11	and	and	CCONJ
admet-2945	53	12	overfitting	overfitting	NOUN
admet-2945	53	13	.	.	PUNCT
admet-2945	54	1	we	we	PRON
admet-2945	54	2	analysed	analyse	VERB
admet-2945	54	3	the	the	DET
admet-2945	54	4	effect	effect	NOUN
admet-2945	54	5	of	of	ADP
admet-2945	54	6	the	the	DET
admet-2945	54	7	spread	spread	ADJ
admet-2945	54	8	parameter	parameter	NOUN
admet-2945	54	9	on	on	ADP
admet-2945	54	10	classification	classification	NOUN
admet-2945	54	11	performance	performance	NOUN
admet-2945	54	12	by	by	ADP
admet-2945	54	13	testing	test	VERB
admet-2945	54	14	values	value	NOUN
admet-2945	54	15	ranging	range	VERB
admet-2945	54	16	from	from	ADP
admet-2945	54	17	0.1	0.1	NUM
admet-2945	54	18	to	to	ADP
admet-2945	54	19	1.0	1.0	NUM
admet-2945	54	20	to	to	PART
admet-2945	54	21	identify	identify	VERB
admet-2945	54	22	the	the	DET
admet-2945	54	23	interval	interval	NOUN
admet-2945	54	24	where	where	SCONJ
admet-2945	54	25	the	the	DET
admet-2945	54	26	model	model	NOUN
admet-2945	54	27	achieves	achieve	VERB
admet-2945	54	28	optimal	optimal	ADJ
admet-2945	54	29	results	result	NOUN
admet-2945	54	30	.	.	PUNCT
admet-2945	55	1	since	since	SCONJ
admet-2945	55	2	the	the	DET
admet-2945	55	3	probabilistic	probabilistic	ADJ
admet-2945	55	4	neural	neural	ADJ
admet-2945	55	5	network	network	NOUN
admet-2945	55	6	is	be	AUX
admet-2945	55	7	a	a	DET
admet-2945	55	8	supervised	supervised	ADJ
admet-2945	55	9	learning	learning	NOUN
admet-2945	55	10	model	model	NOUN
admet-2945	55	11	,	,	PUNCT
admet-2945	55	12	the	the	DET
admet-2945	55	13	dataset	dataset	NOUN
admet-2945	55	14	of	of	ADP
admet-2945	55	15	220	220	NUM
admet-2945	55	16	tablet	tablet	ADJ
admet-2945	55	17	-	-	PUNCT
admet-2945	55	18	form	form	NOUN
admet-2945	55	19	drugs	drug	NOUN
admet-2945	55	20	characterized	characterize	VERB
admet-2945	55	21	by	by	ADP
admet-2945	55	22	eleven	eleven	NUM
admet-2945	55	23	molecular	molecular	ADJ
admet-2945	55	24	descriptors	descriptor	NOUN
admet-2945	55	25	was	be	AUX
admet-2945	55	26	randomly	randomly	ADV
admet-2945	55	27	divided	divide	VERB
admet-2945	55	28	into	into	ADP
admet-2945	55	29	a	a	DET
admet-2945	55	30	training	training	NOUN
admet-2945	55	31	subset	subset	NOUN
admet-2945	55	32	(	(	PUNCT
admet-2945	55	33	85	85	NUM
admet-2945	55	34	%	%	NOUN
admet-2945	55	35	)	)	PUNCT
admet-2945	55	36	used	use	VERB
admet-2945	55	37	for	for	ADP
admet-2945	55	38	model	model	NOUN
admet-2945	55	39	training	training	NOUN
admet-2945	55	40	and	and	CCONJ
admet-2945	55	41	a	a	DET
admet-2945	55	42	testing	testing	NOUN
admet-2945	55	43	subset	subset	NOUN
admet-2945	55	44	(	(	PUNCT
admet-2945	55	45	15	15	NUM
admet-2945	55	46	%	%	NOUN
admet-2945	55	47	)	)	PUNCT
admet-2945	55	48	reserved	reserve	VERB
admet-2945	55	49	for	for	ADP
admet-2945	55	50	independent	independent	ADJ
admet-2945	55	51	evaluation	evaluation	NOUN
admet-2945	55	52	of	of	ADP
admet-2945	55	53	predictive	predictive	ADJ
admet-2945	55	54	performance	performance	NOUN
admet-2945	55	55	.	.	PUNCT
admet-2945	56	1	it	it	PRON
admet-2945	56	2	is	be	AUX
admet-2945	56	3	important	important	ADJ
admet-2945	56	4	to	to	PART
admet-2945	56	5	note	note	VERB
admet-2945	56	6	that	that	SCONJ
admet-2945	56	7	in	in	ADP
admet-2945	56	8	a	a	DET
admet-2945	56	9	probabilistic	probabilistic	ADJ
admet-2945	56	10	neural	neural	ADJ
admet-2945	56	11	network	network	NOUN
admet-2945	56	12	,	,	PUNCT
admet-2945	56	13	each	each	DET
admet-2945	56	14	training	training	NOUN
admet-2945	56	15	sample	sample	NOUN
admet-2945	56	16	contributes	contribute	VERB
admet-2945	56	17	a	a	DET
admet-2945	56	18	kernel	kernel	NOUN
admet-2945	56	19	function	function	NOUN
admet-2945	56	20	in	in	ADP
admet-2945	56	21	the	the	DET
admet-2945	56	22	pattern	pattern	NOUN
admet-2945	56	23	layer	layer	NOUN
admet-2945	56	24	.	.	PUNCT
admet-2945	57	1	specifically	specifically	ADV
admet-2945	57	2	,	,	PUNCT
admet-2945	57	3	for	for	ADP
admet-2945	57	4	every	every	DET
admet-2945	57	5	compound	compound	NOUN
admet-2945	57	6	in	in	ADP
admet-2945	57	7	the	the	DET
admet-2945	57	8	training	training	NOUN
admet-2945	57	9	set	set	NOUN
admet-2945	57	10	,	,	PUNCT
admet-2945	57	11	a	a	DET
admet-2945	57	12	neuron	neuron	NOUN
admet-2945	57	13	is	be	AUX
admet-2945	57	14	created	create	VERB
admet-2945	57	15	in	in	ADP
admet-2945	57	16	this	this	DET
admet-2945	57	17	layer	layer	NOUN
admet-2945	57	18	,	,	PUNCT
admet-2945	57	19	and	and	CCONJ
admet-2945	57	20	its	its	PRON
admet-2945	57	21	associated	associated	ADJ
admet-2945	57	22	kernel	kernel	NOUN
admet-2945	57	23	(	(	PUNCT
admet-2945	57	24	typically	typically	ADV
admet-2945	57	25	gaussian	gaussian	ADJ
admet-2945	57	26	)	)	PUNCT
admet-2945	57	27	represents	represent	VERB
admet-2945	57	28	the	the	DET
admet-2945	57	29	probability	probability	NOUN
admet-2945	57	30	density	density	NOUN
admet-2945	57	31	centred	centre	VERB
admet-2945	57	32	at	at	ADP
admet-2945	57	33	that	that	DET
admet-2945	57	34	sample	sample	NOUN
admet-2945	57	35	.	.	PUNCT
admet-2945	58	1	during	during	ADP
admet-2945	58	2	classification	classification	NOUN
admet-2945	58	3	,	,	PUNCT
admet-2945	58	4	the	the	DET
admet-2945	58	5	network	network	NOUN
admet-2945	58	6	evaluates	evaluate	VERB
admet-2945	58	7	how	how	SCONJ
admet-2945	58	8	closely	closely	ADV
admet-2945	58	9	an	an	DET
admet-2945	58	10	input	input	NOUN
admet-2945	58	11	matches	match	VERB
admet-2945	58	12	these	these	DET
admet-2945	58	13	kernels	kernel	NOUN
admet-2945	58	14	across	across	ADP
admet-2945	58	15	all	all	DET
admet-2945	58	16	classes	class	NOUN
admet-2945	58	17	.	.	PUNCT
admet-2945	59	1	in	in	ADP
admet-2945	59	2	our	our	PRON
admet-2945	59	3	dataset	dataset	NOUN
admet-2945	59	4	,	,	PUNCT
admet-2945	59	5	all	all	DET
admet-2945	59	6	training	training	NOUN
admet-2945	59	7	samples	sample	NOUN
admet-2945	59	8	were	be	AUX
admet-2945	59	9	correctly	correctly	ADV
admet-2945	59	10	classified	classify	VERB
admet-2945	59	11	for	for	ADP
admet-2945	59	12	spread	spread	ADJ
admet-2945	59	13	values	value	NOUN
admet-2945	59	14	ranging	range	VERB
admet-2945	59	15	from	from	ADP
admet-2945	59	16	0.1	0.1	NUM
admet-2945	59	17	to	to	ADP
admet-2945	59	18	1.0	1.0	NUM
admet-2945	59	19	,	,	PUNCT
admet-2945	59	20	as	as	SCONJ
admet-2945	59	21	each	each	DET
admet-2945	59	22	sample	sample	NOUN
admet-2945	59	23	essentially	essentially	ADV
admet-2945	59	24	«	«	PUNCT
admet-2945	59	25	remembers	remember	VERB
admet-2945	59	26	»	»	PRON
admet-2945	59	27	its	its	PRON
admet-2945	59	28	own	own	ADJ
admet-2945	59	29	position	position	NOUN
admet-2945	59	30	in	in	ADP
admet-2945	59	31	feature	feature	NOUN
admet-2945	59	32	space	space	NOUN
admet-2945	59	33	.	.	PUNCT
admet-2945	60	1	misclassifications	misclassification	NOUN
admet-2945	60	2	occurred	occur	VERB
admet-2945	60	3	only	only	ADV
admet-2945	60	4	for	for	ADP
admet-2945	60	5	https://doi.org/10.5599/admet.2945	https://doi.org/10.5599/admet.2945	ADJ
admet-2945	60	6	y.	y.	PROPN
admet-2945	60	7	pushkarova	pushkarova	PROPN
admet-2945	60	8	et	et	PROPN
admet-2945	60	9	al	al	PROPN
admet-2945	60	10	.	.	PROPN
admet-2945	60	11	admet	admet	PROPN
admet-2945	60	12	&	&	CCONJ
admet-2945	60	13	dmpk	dmpk	PROPN
admet-2945	60	14	13(5	13(5	NUM
admet-2945	60	15	)	)	PUNCT
admet-2945	60	16	(	(	PUNCT
admet-2945	60	17	2025	2025	NUM
admet-2945	60	18	)	)	PUNCT
admet-2945	60	19	2822	2822	NUM
admet-2945	60	20	4	4	NUM
admet-2945	60	21	unseen	unseen	ADJ
admet-2945	60	22	compounds	compound	NOUN
admet-2945	60	23	in	in	ADP
admet-2945	60	24	the	the	DET
admet-2945	60	25	independent	independent	ADJ
admet-2945	60	26	test	test	NOUN
admet-2945	60	27	set	set	NOUN
admet-2945	60	28	,	,	PUNCT
admet-2945	60	29	where	where	SCONJ
admet-2945	60	30	inputs	input	NOUN
admet-2945	60	31	may	may	AUX
admet-2945	60	32	lie	lie	VERB
admet-2945	60	33	between	between	ADP
admet-2945	60	34	kernels	kernel	NOUN
admet-2945	60	35	or	or	CCONJ
admet-2945	60	36	in	in	ADP
admet-2945	60	37	sparsely	sparsely	ADV
admet-2945	60	38	populated	populated	ADJ
admet-2945	60	39	regions	region	NOUN
admet-2945	60	40	.	.	PUNCT
admet-2945	61	1	this	this	DET
admet-2945	61	2	behaviour	behaviour	NOUN
admet-2945	61	3	highlights	highlight	VERB
admet-2945	61	4	the	the	DET
admet-2945	61	5	network	network	NOUN
admet-2945	61	6	’s	’s	PART
admet-2945	61	7	ability	ability	NOUN
admet-2945	61	8	to	to	PART
admet-2945	61	9	perfectly	perfectly	ADV
admet-2945	61	10	memorize	memorize	VERB
admet-2945	61	11	the	the	DET
admet-2945	61	12	training	training	NOUN
admet-2945	61	13	set	set	VERB
admet-2945	61	14	while	while	SCONJ
admet-2945	61	15	still	still	ADV
admet-2945	61	16	generalizing	generalize	VERB
admet-2945	61	17	effectively	effectively	ADV
admet-2945	61	18	to	to	ADP
admet-2945	61	19	new	new	ADJ
admet-2945	61	20	data	datum	NOUN
admet-2945	61	21	.	.	PUNCT
admet-2945	62	1	together	together	ADV
admet-2945	62	2	,	,	PUNCT
admet-2945	62	3	the	the	DET
admet-2945	62	4	kruskal	kruskal	PROPN
admet-2945	62	5	–	–	PUNCT
admet-2945	62	6	wallis	wallis	PROPN
admet-2945	62	7	test	test	NOUN
admet-2945	62	8	and	and	CCONJ
admet-2945	62	9	probabilistic	probabilistic	ADJ
admet-2945	62	10	neural	neural	ADJ
admet-2945	62	11	network	network	NOUN
admet-2945	62	12	represent	represent	VERB
admet-2945	62	13	valuable	valuable	ADJ
admet-2945	62	14	tools	tool	NOUN
admet-2945	62	15	in	in	ADP
admet-2945	62	16	chemometric	chemometric	ADJ
admet-2945	62	17	and	and	CCONJ
admet-2945	62	18	biomedical	biomedical	ADJ
admet-2945	62	19	data	datum	NOUN
admet-2945	62	20	analysis	analysis	NOUN
admet-2945	62	21	,	,	PUNCT
admet-2945	62	22	especially	especially	ADV
admet-2945	62	23	for	for	ADP
admet-2945	62	24	assessing	assess	VERB
admet-2945	62	25	group	group	NOUN
admet-2945	62	26	differences	difference	NOUN
admet-2945	62	27	and	and	CCONJ
admet-2945	62	28	developing	develop	VERB
admet-2945	62	29	predictive	predictive	ADJ
admet-2945	62	30	models	model	NOUN
admet-2945	62	31	based	base	VERB
admet-2945	62	32	on	on	ADP
admet-2945	62	33	biological	biological	ADJ
admet-2945	62	34	or	or	CCONJ
admet-2945	62	35	chemical	chemical	NOUN
admet-2945	62	36	descriptors	descriptor	NOUN
admet-2945	62	37	[	[	X
admet-2945	62	38	14	14	NUM
admet-2945	62	39	]	]	PUNCT
admet-2945	62	40	.	.	PUNCT
admet-2945	63	1	results	result	NOUN
admet-2945	63	2	and	and	CCONJ
admet-2945	63	3	discussion	discussion	NOUN
admet-2945	63	4	prediction	prediction	NOUN
admet-2945	63	5	of	of	ADP
admet-2945	63	6	bddcs	bddcs	ADJ
admet-2945	63	7	class	class	NOUN
admet-2945	63	8	according	accord	VERB
admet-2945	63	9	to	to	ADP
admet-2945	63	10	metabolism	metabolism	NOUN
admet-2945	63	11	(	(	PUNCT
admet-2945	63	12	extensive	extensive	ADJ
admet-2945	63	13	or	or	CCONJ
admet-2945	63	14	poor	poor	ADJ
admet-2945	63	15	metabolism	metabolism	NOUN
admet-2945	63	16	)	)	PUNCT
admet-2945	63	17	the	the	DET
admet-2945	63	18	kruskal	kruskal	PROPN
admet-2945	63	19	–	–	PUNCT
admet-2945	63	20	wallis	wallis	PROPN
admet-2945	63	21	test	test	NOUN
admet-2945	63	22	was	be	AUX
admet-2945	63	23	applied	apply	VERB
admet-2945	63	24	to	to	ADP
admet-2945	63	25	11	11	NUM
admet-2945	63	26	molecular	molecular	ADJ
admet-2945	63	27	descriptors	descriptor	NOUN
admet-2945	63	28	of	of	ADP
admet-2945	63	29	220	220	NUM
admet-2945	63	30	tablet	tablet	ADJ
admet-2945	63	31	-	-	PUNCT
admet-2945	63	32	form	form	NOUN
admet-2945	63	33	drugs	drug	NOUN
admet-2945	63	34	,	,	PUNCT
admet-2945	63	35	and	and	CCONJ
admet-2945	63	36	the	the	DET
admet-2945	63	37	results	result	NOUN
admet-2945	63	38	are	be	AUX
admet-2945	63	39	summarized	summarize	VERB
admet-2945	63	40	in	in	ADP
admet-2945	63	41	table	table	NOUN
admet-2945	63	42	2	2	NUM
admet-2945	63	43	.	.	PUNCT
admet-2945	64	1	the	the	DET
admet-2945	64	2	critical	critical	ADJ
admet-2945	64	3	χ²	χ²	NOUN
admet-2945	64	4	value	value	VERB
admet-2945	64	5	at	at	ADP
admet-2945	64	6	a	a	DET
admet-2945	64	7	5	5	NUM
admet-2945	64	8	%	%	NOUN
admet-2945	64	9	significance	significance	NOUN
admet-2945	64	10	level	level	NOUN
admet-2945	64	11	with	with	ADP
admet-2945	64	12	1	1	NUM
admet-2945	64	13	degree	degree	NOUN
admet-2945	64	14	of	of	ADP
admet-2945	64	15	freedom	freedom	NOUN
admet-2945	64	16	is	be	AUX
admet-2945	64	17	3.84	3.84	NUM
admet-2945	64	18	[	[	X
admet-2945	64	19	15	15	NUM
admet-2945	64	20	]	]	PUNCT
admet-2945	64	21	.	.	PUNCT
admet-2945	65	1	table	table	NOUN
admet-2945	65	2	2	2	NUM
admet-2945	65	3	.	.	PUNCT
admet-2945	65	4	results	result	NOUN
admet-2945	65	5	of	of	ADP
admet-2945	65	6	the	the	DET
admet-2945	65	7	kruskal	kruskal	NOUN
admet-2945	65	8	–	–	PUNCT
admet-2945	65	9	wallis	wallis	PROPN
admet-2945	65	10	test	test	NOUN
admet-2945	65	11	for	for	ADP
admet-2945	65	12	molecular	molecular	ADJ
admet-2945	65	13	descriptors	descriptor	NOUN
admet-2945	65	14	influencing	influence	VERB
admet-2945	65	15	metabolism	metabolism	NOUN
admet-2945	65	16	classification	classification	NOUN
admet-2945	65	17	descriptor	descriptor	NOUN
admet-2945	65	18	a	a	DET
admet-2945	65	19	b	b	NOUN
admet-2945	65	20	s	s	ADP
admet-2945	65	21	e	e	NOUN
admet-2945	65	22	log	log	NOUN
admet-2945	65	23	p	p	PROPN
admet-2945	65	24	log	log	NOUN
admet-2945	65	25	d	d	X
admet-2945	65	26	rotb	rotb	PROPN
admet-2945	65	27	hba	hba	PROPN
admet-2945	65	28	hbd	hbd	PROPN
admet-2945	65	29	mw	mw	X
admet-2945	65	30	psa	psa	PROPN
admet-2945	65	31	χ2	χ2	PROPN
admet-2945	65	32	55.98	55.98	NUM
admet-2945	65	33	16.65	16.65	NUM
admet-2945	65	34	0.25	0.25	NUM
admet-2945	65	35	0.10	0.10	NUM
admet-2945	65	36	66.70	66.70	NUM
admet-2945	65	37	64.26	64.26	NUM
admet-2945	65	38	0.010	0.010	NUM
admet-2945	65	39	25.41	25.41	NUM
admet-2945	65	40	51.13	51.13	NUM
admet-2945	65	41	4.96	4.96	NUM
admet-2945	65	42	39.62	39.62	NUM
admet-2945	65	43	the	the	DET
admet-2945	65	44	results	result	NOUN
admet-2945	65	45	indicate	indicate	VERB
admet-2945	65	46	that	that	DET
admet-2945	65	47	dipolarity	dipolarity	NOUN
admet-2945	65	48	/	/	SYM
admet-2945	65	49	polarizability	polarizability	NOUN
admet-2945	65	50	,	,	PUNCT
admet-2945	65	51	excess	excess	ADJ
admet-2945	65	52	molar	molar	ADJ
admet-2945	65	53	refraction	refraction	NOUN
admet-2945	65	54	and	and	CCONJ
admet-2945	65	55	rotatable	rotatable	ADJ
admet-2945	65	56	bond	bond	NOUN
admet-2945	65	57	count	count	NOUN
admet-2945	65	58	have	have	VERB
admet-2945	65	59	negligible	negligible	ADJ
admet-2945	65	60	influence	influence	NOUN
admet-2945	65	61	on	on	ADP
admet-2945	65	62	the	the	DET
admet-2945	65	63	classification	classification	NOUN
admet-2945	65	64	/	/	SYM
admet-2945	65	65	prediction	prediction	NOUN
admet-2945	65	66	of	of	ADP
admet-2945	65	67	bddcs	bddcs	ADJ
admet-2945	65	68	class	class	NOUN
admet-2945	65	69	according	accord	VERB
admet-2945	65	70	to	to	ADP
admet-2945	65	71	metabolism	metabolism	NOUN
admet-2945	65	72	(	(	PUNCT
admet-2945	65	73	extensive	extensive	ADJ
admet-2945	65	74	vs.	vs.	ADP
admet-2945	65	75	poor	poor	ADJ
admet-2945	65	76	metabolism	metabolism	NOUN
admet-2945	65	77	)	)	PUNCT
admet-2945	65	78	.	.	PUNCT
admet-2945	66	1	to	to	PART
admet-2945	66	2	assess	assess	VERB
admet-2945	66	3	multicollinearity	multicollinearity	NOUN
admet-2945	66	4	between	between	ADP
admet-2945	66	5	descriptors	descriptor	NOUN
admet-2945	66	6	,	,	PUNCT
admet-2945	66	7	correlation	correlation	NOUN
admet-2945	66	8	coefficients	coefficient	NOUN
admet-2945	66	9	were	be	AUX
admet-2945	66	10	calculated	calculate	VERB
admet-2945	66	11	for	for	ADP
admet-2945	66	12	each	each	DET
admet-2945	66	13	pair	pair	NOUN
admet-2945	66	14	of	of	ADP
admet-2945	66	15	parameters	parameter	NOUN
admet-2945	66	16	.	.	PUNCT
admet-2945	67	1	the	the	DET
admet-2945	67	2	results	result	NOUN
admet-2945	67	3	are	be	AUX
admet-2945	67	4	presented	present	VERB
admet-2945	67	5	in	in	ADP
admet-2945	67	6	table	table	NOUN
admet-2945	67	7	3	3	NUM
admet-2945	67	8	.	.	PUNCT
admet-2945	67	9	hydrogen	hydrogen	NOUN
admet-2945	67	10	bond	bond	NOUN
admet-2945	67	11	acidity	acidity	NOUN
admet-2945	67	12	and	and	CCONJ
admet-2945	67	13	hydrogen	hydrogen	NOUN
admet-2945	67	14	bond	bond	NOUN
admet-2945	67	15	donor	donor	NOUN
admet-2945	67	16	count	count	NOUN
admet-2945	67	17	are	be	AUX
admet-2945	67	18	strongly	strongly	ADV
admet-2945	67	19	correlated	correlate	VERB
admet-2945	67	20	,	,	PUNCT
admet-2945	67	21	as	as	SCONJ
admet-2945	67	22	are	be	AUX
admet-2945	67	23	hydrogen	hydrogen	NOUN
admet-2945	67	24	bond	bond	NOUN
admet-2945	67	25	basicity	basicity	NOUN
admet-2945	67	26	and	and	CCONJ
admet-2945	67	27	hydrogen	hydrogen	NOUN
admet-2945	67	28	bond	bond	NOUN
admet-2945	67	29	acceptor	acceptor	NOUN
admet-2945	67	30	count	count	NOUN
admet-2945	67	31	.	.	PUNCT
admet-2945	68	1	from	from	ADP
admet-2945	68	2	each	each	DET
admet-2945	68	3	correlated	correlate	VERB
admet-2945	68	4	pair	pair	NOUN
admet-2945	68	5	,	,	PUNCT
admet-2945	68	6	the	the	DET
admet-2945	68	7	parameter	parameter	NOUN
admet-2945	68	8	with	with	ADP
admet-2945	68	9	the	the	DET
admet-2945	68	10	higher	high	ADJ
admet-2945	68	11	χ²	χ²	NOUN
admet-2945	68	12	value	value	NOUN
admet-2945	68	13	(	(	PUNCT
admet-2945	68	14	i.e.	i.e.	X
admet-2945	68	15	,	,	PUNCT
admet-2945	68	16	the	the	DET
admet-2945	68	17	greater	great	ADJ
admet-2945	68	18	influence	influence	NOUN
admet-2945	68	19	on	on	ADP
admet-2945	68	20	metabolism	metabolism	NOUN
admet-2945	68	21	classification	classification	NOUN
admet-2945	68	22	)	)	PUNCT
admet-2945	68	23	was	be	AUX
admet-2945	68	24	retained	retain	VERB
admet-2945	68	25	‒	‒	ADP
admet-2945	68	26	hydrogen	hydrogen	NOUN
admet-2945	68	27	bond	bond	NOUN
admet-2945	68	28	acidity	acidity	NOUN
admet-2945	68	29	and	and	CCONJ
admet-2945	68	30	hydrogen	hydrogen	NOUN
admet-2945	68	31	bond	bond	NOUN
admet-2945	68	32	acceptor	acceptor	NOUN
admet-2945	68	33	count	count	NOUN
admet-2945	68	34	.	.	PUNCT
admet-2945	69	1	table	table	NOUN
admet-2945	69	2	3	3	NUM
admet-2945	69	3	.	.	PUNCT
admet-2945	69	4	correlation	correlation	NOUN
admet-2945	69	5	coefficients	coefficient	NOUN
admet-2945	69	6	between	between	ADP
admet-2945	69	7	molecular	molecular	ADJ
admet-2945	69	8	descriptors	descriptor	NOUN
admet-2945	69	9	descriptor	descriptor	VERB
admet-2945	69	10	a	a	DET
admet-2945	69	11	b	b	NOUN
admet-2945	69	12	s	s	ADP
admet-2945	69	13	e	e	NOUN
admet-2945	69	14	log	log	NOUN
admet-2945	69	15	p	p	PROPN
admet-2945	69	16	log	log	NOUN
admet-2945	69	17	d	d	X
admet-2945	69	18	rotb	rotb	PROPN
admet-2945	69	19	hba	hba	PROPN
admet-2945	69	20	hbd	hbd	PROPN
admet-2945	69	21	mw	mw	AUX
admet-2945	69	22	psa	psa	VERB
admet-2945	69	23	a	a	DET
admet-2945	69	24	1.00	1.00	NUM
admet-2945	69	25	0.54	0.54	NUM
admet-2945	69	26	0.29	0.29	NUM
admet-2945	69	27	-0.06	-0.06	NUM
admet-2945	69	28	-0.43	-0.43	NUM
admet-2945	69	29	-0.41	-0.41	NUM
admet-2945	69	30	0.16	0.16	NUM
admet-2945	69	31	0.46	0.46	NUM
admet-2945	69	32	0.89	0.89	NUM
admet-2945	69	33	0.20	0.20	NUM
admet-2945	69	34	0.77	0.77	NUM
admet-2945	69	35	b	b	NOUN
admet-2945	69	36	0.54	0.54	NUM
admet-2945	69	37	1.00	1.00	NUM
admet-2945	69	38	0.58	0.58	NUM
admet-2945	69	39	-0.05	-0.05	NUM
admet-2945	69	40	-0.21	-0.21	INTJ
admet-2945	70	1	-0.16	-0.16	NUM
admet-2945	70	2	0.50	0.50	NUM
admet-2945	70	3	0.85	0.85	NUM
admet-2945	70	4	0.65	0.65	NUM
admet-2945	70	5	0.74	0.74	NUM
admet-2945	70	6	0.82	0.82	NUM
admet-2945	70	7	s	s	NOUN
admet-2945	70	8	0.29	0.29	NUM
admet-2945	70	9	0.58	0.58	NUM
admet-2945	70	10	1.00	1.00	NUM
admet-2945	70	11	0.00	0.00	NUM
admet-2945	70	12	0.07	0.07	NUM
admet-2945	70	13	0.08	0.08	NUM
admet-2945	70	14	0.25	0.25	NUM
admet-2945	70	15	0.50	0.50	NUM
admet-2945	70	16	0.23	0.23	NUM
admet-2945	70	17	0.60	0.60	NUM
admet-2945	70	18	0.51	0.51	NUM
admet-2945	70	19	e	e	PROPN
admet-2945	70	20	-0.06	-0.06	PROPN
admet-2945	70	21	-0.05	-0.05	NUM
admet-2945	70	22	0.00	0.00	NUM
admet-2945	70	23	1.00	1.00	NUM
admet-2945	70	24	0.07	0.07	NUM
admet-2945	70	25	0.03	0.03	NUM
admet-2945	70	26	0.01	0.01	NUM
admet-2945	70	27	-0.01	-0.01	NUM
admet-2945	70	28	-0.08	-0.08	NUM
admet-2945	70	29	-0.04	-0.04	NUM
admet-2945	70	30	-0.06	-0.06	NUM
admet-2945	70	31	log	log	NOUN
admet-2945	70	32	p	p	NOUN
admet-2945	70	33	-0.43	-0.43	INTJ
admet-2945	70	34	-0.21	-0.21	INTJ
admet-2945	70	35	0.07	0.07	NUM
admet-2945	70	36	0.07	0.07	NUM
admet-2945	70	37	1.00	1.00	NUM
admet-2945	70	38	0.79	0.79	NUM
admet-2945	70	39	0.16	0.16	NUM
admet-2945	70	40	-0.22	-0.22	NUM
admet-2945	70	41	-0.46	-0.46	NUM
admet-2945	70	42	0.37	0.37	NUM
admet-2945	70	43	-0.42	-0.42	NUM
admet-2945	70	44	log	log	PROPN
admet-2945	71	1	d	d	PROPN
admet-2945	71	2	-0.41	-0.41	NOUN
admet-2945	71	3	-0.16	-0.16	NUM
admet-2945	71	4	0.08	0.08	NUM
admet-2945	71	5	0.03	0.03	NUM
admet-2945	71	6	0.79	0.79	NUM
admet-2945	71	7	1.00	1.00	NUM
admet-2945	71	8	0.18	0.18	NUM
admet-2945	71	9	-0.09	-0.09	NUM
admet-2945	71	10	-0.40	-0.40	NUM
admet-2945	71	11	0.41	0.41	NUM
admet-2945	71	12	-0.29	-0.29	NUM
admet-2945	71	13	rotb	rotb	X
admet-2945	71	14	0.16	0.16	NUM
admet-2945	71	15	0.50	0.50	NUM
admet-2945	72	1	0.25	0.25	NUM
admet-2945	72	2	0.01	0.01	NUM
admet-2945	72	3	0.16	0.16	NUM
admet-2945	72	4	0.18	0.18	NUM
admet-2945	72	5	1.00	1.00	NUM
admet-2945	72	6	0.47	0.47	NUM
admet-2945	72	7	0.24	0.24	NUM
admet-2945	72	8	0.61	0.61	NUM
admet-2945	72	9	0.38	0.38	NUM
admet-2945	72	10	hba	hba	NOUN
admet-2945	72	11	0.46	0.46	NUM
admet-2945	72	12	0.85	0.85	NUM
admet-2945	72	13	0.50	0.50	NUM
admet-2945	72	14	-0.01	-0.01	NUM
admet-2945	72	15	-0.22	-0.22	NUM
admet-2945	72	16	-0.09	-0.09	NUM
admet-2945	72	17	0.47	0.47	NUM
admet-2945	72	18	1.00	1.00	NUM
admet-2945	72	19	0.59	0.59	NUM
admet-2945	72	20	0.67	0.67	NUM
admet-2945	72	21	0.80	0.80	NUM
admet-2945	72	22	hbd	hbd	NOUN
admet-2945	72	23	0.89	0.89	NUM
admet-2945	72	24	0.65	0.65	NUM
admet-2945	72	25	0.23	0.23	NUM
admet-2945	72	26	-0.08	-0.08	NUM
admet-2945	72	27	-0.46	-0.46	NUM
admet-2945	72	28	-0.40	-0.40	NUM
admet-2945	72	29	0.24	0.24	NUM
admet-2945	72	30	0.59	0.59	NUM
admet-2945	72	31	1.00	1.00	NUM
admet-2945	72	32	0.26	0.26	NUM
admet-2945	72	33	0.81	0.81	NUM
admet-2945	72	34	mw	mw	NOUN
admet-2945	72	35	0.20	0.20	NUM
admet-2945	72	36	0.74	0.74	NUM
admet-2945	72	37	0.60	0.60	NUM
admet-2945	72	38	-0.04	-0.04	NUM
admet-2945	72	39	0.37	0.37	NUM
admet-2945	72	40	0.41	0.41	NUM
admet-2945	72	41	0.61	0.61	NUM
admet-2945	72	42	0.67	0.67	NUM
admet-2945	72	43	0.26	0.26	NUM
admet-2945	72	44	1.00	1.00	NUM
admet-2945	72	45	0.50	0.50	NUM
admet-2945	72	46	psa	psa	VERB
admet-2945	72	47	0.77	0.77	NUM
admet-2945	72	48	0.82	0.82	NUM
admet-2945	72	49	0.51	0.51	NUM
admet-2945	72	50	-0.06	-0.06	NUM
admet-2945	72	51	-0.42	-0.42	NUM
admet-2945	72	52	-0.29	-0.29	NUM
admet-2945	72	53	0.38	0.38	NUM
admet-2945	72	54	0.80	0.80	NUM
admet-2945	72	55	0.81	0.81	NUM
admet-2945	72	56	0.50	0.50	NUM
admet-2945	72	57	1.00	1.00	NUM
admet-2945	72	58	thus	thus	ADV
admet-2945	72	59	,	,	PUNCT
admet-2945	72	60	for	for	ADP
admet-2945	72	61	the	the	DET
admet-2945	72	62	classification	classification	NOUN
admet-2945	72	63	/	/	SYM
admet-2945	72	64	prediction	prediction	NOUN
admet-2945	72	65	of	of	ADP
admet-2945	72	66	metabolism	metabolism	NOUN
admet-2945	72	67	(	(	PUNCT
admet-2945	72	68	extensive	extensive	ADJ
admet-2945	72	69	vs.	vs.	X
admet-2945	72	70	poor	poor	ADJ
admet-2945	72	71	)	)	PUNCT
admet-2945	72	72	,	,	PUNCT
admet-2945	72	73	six	six	NUM
admet-2945	72	74	molecular	molecular	ADJ
admet-2945	72	75	descriptors	descriptor	NOUN
admet-2945	72	76	are	be	AUX
admet-2945	72	77	recommended	recommend	VERB
admet-2945	72	78	:	:	PUNCT
admet-2945	72	79	hydrogen	hydrogen	NOUN
admet-2945	72	80	bond	bond	NOUN
admet-2945	72	81	acidity	acidity	NOUN
admet-2945	72	82	,	,	PUNCT
admet-2945	72	83	logarithm	logarithm	NOUN
admet-2945	72	84	of	of	ADP
admet-2945	72	85	the	the	DET
admet-2945	72	86	partition	partition	NOUN
admet-2945	72	87	coefficient	coefficient	NOUN
admet-2945	72	88	,	,	PUNCT
admet-2945	72	89	distribution	distribution	NOUN
admet-2945	72	90	coefficient	coefficient	NOUN
admet-2945	72	91	,	,	PUNCT
admet-2945	72	92	hydrogen	hydrogen	NOUN
admet-2945	72	93	bond	bond	NOUN
admet-2945	72	94	acceptor	acceptor	NOUN
admet-2945	72	95	count	count	NOUN
admet-2945	72	96	,	,	PUNCT
admet-2945	72	97	molecular	molecular	ADJ
admet-2945	72	98	weight	weight	NOUN
admet-2945	72	99	and	and	CCONJ
admet-2945	72	100	polar	polar	ADJ
admet-2945	72	101	surface	surface	NOUN
admet-2945	72	102	area	area	NOUN
admet-2945	72	103	.	.	PUNCT
admet-2945	73	1	based	base	VERB
admet-2945	73	2	on	on	ADP
admet-2945	73	3	the	the	DET
admet-2945	73	4	selected	select	VERB
admet-2945	73	5	molecular	molecular	ADJ
admet-2945	73	6	descriptors	descriptor	NOUN
admet-2945	73	7	identified	identify	VERB
admet-2945	73	8	through	through	ADP
admet-2945	73	9	the	the	DET
admet-2945	73	10	kruskal	kruskal	PROPN
admet-2945	73	11	–	–	PUNCT
admet-2945	73	12	wallis	wallis	PROPN
admet-2945	73	13	test	test	NOUN
admet-2945	73	14	and	and	CCONJ
admet-2945	73	15	correlation	correlation	NOUN
admet-2945	73	16	analysis	analysis	NOUN
admet-2945	73	17	,	,	PUNCT
admet-2945	73	18	a	a	DET
admet-2945	73	19	probabilistic	probabilistic	ADJ
admet-2945	73	20	neural	neural	ADJ
admet-2945	73	21	network	network	NOUN
admet-2945	73	22	model	model	NOUN
admet-2945	73	23	was	be	AUX
admet-2945	73	24	constructed	construct	VERB
admet-2945	73	25	to	to	PART
admet-2945	73	26	classify	classify	VERB
admet-2945	73	27	tablet	tablet	NOUN
admet-2945	73	28	-	-	PUNCT
admet-2945	73	29	form	form	NOUN
admet-2945	73	30	drugs	drug	NOUN
admet-2945	73	31	according	accord	VERB
admet-2945	73	32	to	to	ADP
admet-2945	73	33	their	their	PRON
admet-2945	73	34	metabolism	metabolism	NOUN
admet-2945	73	35	profiles	profile	NOUN
admet-2945	73	36	.	.	PUNCT
admet-2945	74	1	to	to	PART
admet-2945	74	2	optimize	optimize	VERB
admet-2945	74	3	the	the	DET
admet-2945	74	4	model	model	NOUN
admet-2945	74	5	’s	’s	PART
admet-2945	74	6	predictive	predictive	ADJ
admet-2945	74	7	performance	performance	NOUN
admet-2945	74	8	,	,	PUNCT
admet-2945	74	9	different	different	ADJ
admet-2945	74	10	spread	spread	NOUN
admet-2945	74	11	parameter	parameter	NOUN
admet-2945	74	12	values	value	NOUN
admet-2945	74	13	ranging	range	VERB
admet-2945	74	14	from	from	ADP
admet-2945	74	15	0.1	0.1	NUM
admet-2945	74	16	to	to	ADP
admet-2945	74	17	1.0	1.0	NUM
admet-2945	74	18	were	be	AUX
admet-2945	74	19	evaluated	evaluate	VERB
admet-2945	74	20	.	.	PUNCT
admet-2945	75	1	the	the	DET
admet-2945	75	2	classification	classification	NOUN
admet-2945	75	3	results	result	VERB
admet-2945	75	4	for	for	ADP
admet-2945	75	5	the	the	DET
admet-2945	75	6	independent	independent	ADJ
admet-2945	75	7	testing	testing	NOUN
admet-2945	75	8	subset	subset	NOUN
admet-2945	75	9	are	be	AUX
admet-2945	75	10	summarized	summarize	VERB
admet-2945	75	11	in	in	ADP
admet-2945	75	12	table	table	NOUN
admet-2945	75	13	4	4	NUM
admet-2945	75	14	,	,	PUNCT
admet-2945	75	15	where	where	SCONJ
admet-2945	75	16	misclassified	misclassified	ADJ
admet-2945	75	17	drugs	drug	NOUN
admet-2945	75	18	are	be	AUX
admet-2945	75	19	highlighted	highlight	VERB
admet-2945	75	20	in	in	ADP
admet-2945	75	21	bold	bold	ADJ
admet-2945	75	22	.	.	PUNCT
admet-2945	76	1	the	the	DET
admet-2945	76	2	lowest	low	ADJ
admet-2945	76	3	misclassification	misclassification	NOUN
admet-2945	76	4	rate	rate	NOUN
admet-2945	76	5	was	be	AUX
admet-2945	76	6	admet	admet	PROPN
admet-2945	76	7	&	&	CCONJ
admet-2945	76	8	dmpk	dmpk	PROPN
admet-2945	76	9	3(5	3(5	NUM
admet-2945	76	10	)	)	PUNCT
admet-2945	76	11	(	(	PUNCT
admet-2945	76	12	2025	2025	NUM
admet-2945	76	13	)	)	PUNCT
admet-2945	76	14	2822	2822	NUM
admet-2945	76	15	prediction	prediction	NOUN
admet-2945	76	16	of	of	ADP
admet-2945	76	17	metabolism	metabolism	NOUN
admet-2945	76	18	and	and	CCONJ
admet-2945	76	19	solubility	solubility	NOUN
admet-2945	76	20	of	of	ADP
admet-2945	76	21	drugs	drug	NOUN
admet-2945	76	22	according	accord	VERB
admet-2945	76	23	to	to	ADP
admet-2945	76	24	bddcs	bddcs	PROPN
admet-2945	76	25	doi	doi	PROPN
admet-2945	76	26	:	:	PUNCT
admet-2945	76	27	https://doi.org/10.5599/admet.2945	https://doi.org/10.5599/admet.2945	ADJ
admet-2945	76	28	5	5	NUM
admet-2945	76	29	observed	observe	VERB
admet-2945	76	30	for	for	ADP
admet-2945	76	31	spread	spread	ADJ
admet-2945	76	32	values	value	NOUN
admet-2945	76	33	between	between	ADP
admet-2945	76	34	0.8	0.8	NUM
admet-2945	76	35	and	and	CCONJ
admet-2945	76	36	1.0	1.0	NUM
admet-2945	76	37	,	,	PUNCT
admet-2945	76	38	with	with	ADP
admet-2945	76	39	only	only	ADV
admet-2945	76	40	azathioprine	azathioprine	NOUN
admet-2945	76	41	misclassified	misclassifie	VERB
admet-2945	76	42	,	,	PUNCT
admet-2945	76	43	yielding	yield	VERB
admet-2945	76	44	an	an	DET
admet-2945	76	45	overall	overall	ADJ
admet-2945	76	46	accuracy	accuracy	NOUN
admet-2945	76	47	of	of	ADP
admet-2945	76	48	97	97	NUM
admet-2945	76	49	%	%	NOUN
admet-2945	76	50	.	.	PUNCT
admet-2945	77	1	table	table	NOUN
admet-2945	77	2	4	4	NUM
admet-2945	77	3	.	.	PUNCT
admet-2945	78	1	results	result	NOUN
admet-2945	78	2	of	of	ADP
admet-2945	78	3	metabolism	metabolism	NOUN
admet-2945	78	4	prediction	prediction	NOUN
admet-2945	78	5	using	use	VERB
admet-2945	78	6	a	a	DET
admet-2945	78	7	probabilistic	probabilistic	ADJ
admet-2945	78	8	neural	neural	ADJ
admet-2945	78	9	network	network	NOUN
admet-2945	78	10	(	(	PUNCT
admet-2945	78	11	1	1	NUM
admet-2945	78	12	–	–	PUNCT
admet-2945	78	13	extensive	extensive	ADJ
admet-2945	78	14	metabolism	metabolism	NOUN
admet-2945	78	15	,	,	PUNCT
admet-2945	78	16	2	2	NUM
admet-2945	78	17	–	–	PUNCT
admet-2945	78	18	poor	poor	ADJ
admet-2945	78	19	metabolism	metabolism	NOUN
admet-2945	78	20	)	)	PUNCT
admet-2945	78	21	drug	drug	NOUN
admet-2945	78	22	correct	correct	ADJ
admet-2945	78	23	bddcs	bddcs	PROPN
admet-2945	78	24	class	class	PROPN
admet-2945	78	25	pnn	pnn	PROPN
admet-2945	78	26	spread	spread	VERB
admet-2945	78	27	values	value	NOUN
admet-2945	78	28	0.1	0.1	NUM
admet-2945	78	29	0.2	0.2	NUM
admet-2945	78	30	0.3	0.3	NUM
admet-2945	78	31	0.4	0.4	NUM
admet-2945	78	32	0.5	0.5	NUM
admet-2945	78	33	0.6	0.6	NUM
admet-2945	78	34	0.7	0.7	NUM
admet-2945	78	35	0.8	0.8	NUM
admet-2945	78	36	0.9	0.9	NUM
admet-2945	78	37	1.0	1.0	NUM
admet-2945	78	38	predicted	predict	VERB
admet-2945	78	39	class	class	NOUN
admet-2945	78	40	acetohexamide	acetohexamide	NOUN
admet-2945	78	41	1	1	NUM
admet-2945	78	42	1	1	NUM
admet-2945	78	43	1	1	NUM
admet-2945	78	44	1	1	NUM
admet-2945	78	45	1	1	NUM
admet-2945	78	46	1	1	NUM
admet-2945	78	47	1	1	NUM
admet-2945	78	48	1	1	NUM
admet-2945	78	49	1	1	NUM
admet-2945	78	50	1	1	NUM
admet-2945	78	51	1	1	NUM
admet-2945	78	52	aliskiren	aliskiren	NOUN
admet-2945	78	53	1	1	NUM
admet-2945	78	54	1	1	NUM
admet-2945	78	55	1	1	NUM
admet-2945	78	56	1	1	NUM
admet-2945	78	57	1	1	NUM
admet-2945	78	58	1	1	NUM
admet-2945	78	59	1	1	NUM
admet-2945	78	60	1	1	NUM
admet-2945	78	61	1	1	NUM
admet-2945	78	62	1	1	NUM
admet-2945	78	63	1	1	NUM
admet-2945	78	64	alosetron	alosetron	NOUN
admet-2945	78	65	1	1	NUM
admet-2945	78	66	1	1	NUM
admet-2945	78	67	1	1	NUM
admet-2945	78	68	1	1	NUM
admet-2945	78	69	1	1	NUM
admet-2945	78	70	1	1	NUM
admet-2945	78	71	1	1	NUM
admet-2945	78	72	1	1	NUM
admet-2945	78	73	1	1	NUM
admet-2945	78	74	1	1	NUM
admet-2945	78	75	1	1	NUM
admet-2945	78	76	alprazolam	alprazolam	NOUN
admet-2945	78	77	1	1	NUM
admet-2945	78	78	1	1	NUM
admet-2945	78	79	1	1	NUM
admet-2945	78	80	1	1	NUM
admet-2945	78	81	1	1	NUM
admet-2945	78	82	1	1	NUM
admet-2945	78	83	1	1	NUM
admet-2945	78	84	1	1	NUM
admet-2945	78	85	1	1	NUM
admet-2945	78	86	1	1	NUM
admet-2945	78	87	1	1	NUM
admet-2945	78	88	ambrisentan	ambrisentan	ADJ
admet-2945	78	89	1	1	NUM
admet-2945	78	90	1	1	NUM
admet-2945	78	91	1	1	NUM
admet-2945	78	92	1	1	NUM
admet-2945	78	93	1	1	NUM
admet-2945	78	94	1	1	NUM
admet-2945	78	95	1	1	NUM
admet-2945	78	96	1	1	NUM
admet-2945	78	97	1	1	NUM
admet-2945	78	98	1	1	NUM
admet-2945	78	99	1	1	NUM
admet-2945	78	100	aminophenazone	aminophenazone	NOUN
admet-2945	78	101	1	1	NUM
admet-2945	78	102	1	1	NUM
admet-2945	78	103	1	1	NUM
admet-2945	78	104	1	1	NUM
admet-2945	78	105	1	1	NUM
admet-2945	78	106	1	1	NUM
admet-2945	78	107	1	1	NUM
admet-2945	78	108	1	1	NUM
admet-2945	78	109	1	1	NUM
admet-2945	78	110	1	1	NUM
admet-2945	78	111	1	1	NUM
admet-2945	78	112	amlodipine	amlodipine	NOUN
admet-2945	78	113	1	1	NUM
admet-2945	78	114	1	1	NUM
admet-2945	78	115	1	1	NUM
admet-2945	78	116	1	1	NUM
admet-2945	78	117	1	1	NUM
admet-2945	78	118	1	1	NUM
admet-2945	78	119	1	1	NUM
admet-2945	78	120	1	1	NUM
admet-2945	78	121	1	1	NUM
admet-2945	78	122	1	1	NUM
admet-2945	78	123	1	1	NUM
admet-2945	78	124	amoxapine	amoxapine	NOUN
admet-2945	78	125	1	1	NUM
admet-2945	78	126	1	1	NUM
admet-2945	78	127	1	1	NUM
admet-2945	78	128	1	1	NUM
admet-2945	78	129	1	1	NUM
admet-2945	78	130	1	1	NUM
admet-2945	78	131	1	1	NUM
admet-2945	78	132	1	1	NUM
admet-2945	78	133	1	1	NUM
admet-2945	78	134	1	1	NUM
admet-2945	78	135	1	1	NUM
admet-2945	78	136	anastrozole	anastrozole	NOUN
admet-2945	78	137	1	1	NUM
admet-2945	78	138	1	1	NUM
admet-2945	78	139	1	1	NUM
admet-2945	78	140	1	1	NUM
admet-2945	78	141	1	1	NUM
admet-2945	78	142	1	1	NUM
admet-2945	78	143	1	1	NUM
admet-2945	78	144	1	1	NUM
admet-2945	78	145	1	1	NUM
admet-2945	78	146	1	1	NUM
admet-2945	78	147	1	1	NUM
admet-2945	78	148	asenapine	asenapine	NOUN
admet-2945	78	149	1	1	NUM
admet-2945	78	150	1	1	NUM
admet-2945	78	151	1	1	NUM
admet-2945	78	152	1	1	NUM
admet-2945	78	153	1	1	NUM
admet-2945	78	154	1	1	NUM
admet-2945	78	155	1	1	NUM
admet-2945	78	156	1	1	NUM
admet-2945	78	157	1	1	NUM
admet-2945	78	158	1	1	NUM
admet-2945	78	159	1	1	NUM
admet-2945	78	160	azathioprine	azathioprine	NOUN
admet-2945	78	161	1	1	NUM
admet-2945	78	162	1	1	NUM
admet-2945	78	163	1	1	NUM
admet-2945	78	164	1	1	NUM
admet-2945	78	165	2	2	NUM
admet-2945	78	166	2	2	NUM
admet-2945	78	167	2	2	NUM
admet-2945	78	168	2	2	NUM
admet-2945	78	169	2	2	NUM
admet-2945	78	170	2	2	NUM
admet-2945	78	171	2	2	NUM
admet-2945	78	172	bambuterol	bambuterol	NOUN
admet-2945	78	173	1	1	NUM
admet-2945	78	174	1	1	NUM
admet-2945	78	175	1	1	NUM
admet-2945	78	176	1	1	NUM
admet-2945	78	177	1	1	NUM
admet-2945	78	178	1	1	NUM
admet-2945	78	179	1	1	NUM
admet-2945	78	180	1	1	NUM
admet-2945	78	181	1	1	NUM
admet-2945	78	182	1	1	NUM
admet-2945	78	183	1	1	NUM
admet-2945	78	184	melphalan	melphalan	NOUN
admet-2945	78	185	1	1	NUM
admet-2945	78	186	1	1	NUM
admet-2945	78	187	1	1	NUM
admet-2945	78	188	1	1	NUM
admet-2945	78	189	1	1	NUM
admet-2945	78	190	1	1	NUM
admet-2945	78	191	1	1	NUM
admet-2945	78	192	1	1	NUM
admet-2945	78	193	1	1	NUM
admet-2945	78	194	1	1	NUM
admet-2945	78	195	1	1	NUM
admet-2945	78	196	omeprazole	omeprazole	NOUN
admet-2945	78	197	1	1	NUM
admet-2945	78	198	1	1	NUM
admet-2945	78	199	1	1	NUM
admet-2945	78	200	1	1	NUM
admet-2945	78	201	1	1	NUM
admet-2945	78	202	1	1	NUM
admet-2945	78	203	1	1	NUM
admet-2945	78	204	1	1	NUM
admet-2945	78	205	1	1	NUM
admet-2945	78	206	1	1	NUM
admet-2945	78	207	1	1	NUM
admet-2945	78	208	prochlorperazine	prochlorperazine	NOUN
admet-2945	78	209	1	1	NUM
admet-2945	78	210	1	1	NUM
admet-2945	78	211	1	1	NUM
admet-2945	78	212	1	1	NUM
admet-2945	78	213	1	1	NUM
admet-2945	78	214	1	1	NUM
admet-2945	78	215	1	1	NUM
admet-2945	78	216	1	1	NUM
admet-2945	78	217	1	1	NUM
admet-2945	78	218	1	1	NUM
admet-2945	78	219	1	1	NUM
admet-2945	78	220	thioridazine	thioridazine	NOUN
admet-2945	78	221	1	1	NUM
admet-2945	78	222	1	1	NUM
admet-2945	78	223	1	1	NUM
admet-2945	78	224	1	1	NUM
admet-2945	78	225	1	1	NUM
admet-2945	78	226	1	1	NUM
admet-2945	78	227	1	1	NUM
admet-2945	78	228	1	1	NUM
admet-2945	78	229	1	1	NUM
admet-2945	78	230	1	1	NUM
admet-2945	78	231	1	1	NUM
admet-2945	78	232	triamcinolone	triamcinolone	NOUN
admet-2945	78	233	acetonide	acetonide	VERB
admet-2945	78	234	1	1	NUM
admet-2945	78	235	1	1	NUM
admet-2945	78	236	1	1	NUM
admet-2945	78	237	1	1	NUM
admet-2945	78	238	1	1	NUM
admet-2945	78	239	1	1	NUM
admet-2945	78	240	1	1	NUM
admet-2945	78	241	1	1	NUM
admet-2945	78	242	1	1	NUM
admet-2945	78	243	1	1	NUM
admet-2945	78	244	1	1	NUM
admet-2945	78	245	aminoglutethimide	aminoglutethimide	VERB
admet-2945	78	246	1	1	NUM
admet-2945	78	247	1	1	NUM
admet-2945	78	248	1	1	NUM
admet-2945	78	249	1	1	NUM
admet-2945	78	250	1	1	NUM
admet-2945	78	251	1	1	NUM
admet-2945	78	252	1	1	NUM
admet-2945	78	253	1	1	NUM
admet-2945	78	254	1	1	NUM
admet-2945	78	255	1	1	NUM
admet-2945	78	256	1	1	NUM
admet-2945	78	257	aripiprazole	aripiprazole	NOUN
admet-2945	78	258	1	1	NUM
admet-2945	78	259	1	1	NUM
admet-2945	78	260	1	1	NUM
admet-2945	78	261	1	1	NUM
admet-2945	78	262	1	1	NUM
admet-2945	78	263	1	1	NUM
admet-2945	78	264	1	1	NUM
admet-2945	78	265	1	1	NUM
admet-2945	78	266	1	1	NUM
admet-2945	78	267	1	1	NUM
admet-2945	78	268	1	1	NUM
admet-2945	78	269	armodafinil	armodafinil	NOUN
admet-2945	78	270	1	1	NUM
admet-2945	78	271	1	1	NUM
admet-2945	78	272	1	1	NUM
admet-2945	78	273	1	1	NUM
admet-2945	78	274	1	1	NUM
admet-2945	78	275	1	1	NUM
admet-2945	78	276	1	1	NUM
admet-2945	78	277	1	1	NUM
admet-2945	78	278	1	1	NUM
admet-2945	78	279	1	1	NUM
admet-2945	78	280	1	1	NUM
admet-2945	78	281	astemizole	astemizole	NOUN
admet-2945	78	282	1	1	NUM
admet-2945	78	283	1	1	NUM
admet-2945	78	284	1	1	NUM
admet-2945	78	285	1	1	NUM
admet-2945	78	286	1	1	NUM
admet-2945	78	287	1	1	NUM
admet-2945	78	288	1	1	NUM
admet-2945	78	289	1	1	NUM
admet-2945	78	290	1	1	NUM
admet-2945	78	291	1	1	NUM
admet-2945	78	292	1	1	NUM
admet-2945	78	293	bevantolol	bevantolol	NOUN
admet-2945	78	294	1	1	NUM
admet-2945	78	295	1	1	NUM
admet-2945	78	296	1	1	NUM
admet-2945	78	297	1	1	NUM
admet-2945	78	298	1	1	NUM
admet-2945	78	299	1	1	NUM
admet-2945	78	300	1	1	NUM
admet-2945	78	301	1	1	NUM
admet-2945	78	302	1	1	NUM
admet-2945	78	303	1	1	NUM
admet-2945	78	304	1	1	NUM
admet-2945	78	305	bicalutamide	bicalutamide	VERB
admet-2945	78	306	1	1	NUM
admet-2945	78	307	1	1	NUM
admet-2945	78	308	1	1	NUM
admet-2945	78	309	1	1	NUM
admet-2945	78	310	1	1	NUM
admet-2945	78	311	1	1	NUM
admet-2945	78	312	1	1	NUM
admet-2945	78	313	1	1	NUM
admet-2945	78	314	1	1	NUM
admet-2945	78	315	1	1	NUM
admet-2945	78	316	1	1	NUM
admet-2945	78	317	bosentan	bosentan	ADJ
admet-2945	78	318	1	1	NUM
admet-2945	78	319	1	1	NUM
admet-2945	78	320	1	1	NUM
admet-2945	78	321	1	1	NUM
admet-2945	78	322	1	1	NUM
admet-2945	78	323	1	1	NUM
admet-2945	78	324	1	1	NUM
admet-2945	78	325	1	1	NUM
admet-2945	78	326	1	1	NUM
admet-2945	78	327	1	1	NUM
admet-2945	78	328	1	1	NUM
admet-2945	78	329	albuterol	albuterol	NOUN
admet-2945	78	330	2	2	NUM
admet-2945	78	331	1	1	NUM
admet-2945	78	332	2	2	NUM
admet-2945	78	333	2	2	NUM
admet-2945	78	334	2	2	NUM
admet-2945	78	335	2	2	NUM
admet-2945	78	336	2	2	NUM
admet-2945	78	337	2	2	NUM
admet-2945	78	338	2	2	NUM
admet-2945	78	339	2	2	NUM
admet-2945	78	340	2	2	NUM
admet-2945	78	341	amiloride	amiloride	NOUN
admet-2945	78	342	2	2	NUM
admet-2945	78	343	1	1	NUM
admet-2945	78	344	1	1	NUM
admet-2945	78	345	1	1	NUM
admet-2945	78	346	1	1	NUM
admet-2945	78	347	1	1	NUM
admet-2945	78	348	1	1	NUM
admet-2945	78	349	1	1	NUM
admet-2945	78	350	2	2	NUM
admet-2945	78	351	2	2	NUM
admet-2945	78	352	2	2	NUM
admet-2945	78	353	amoxicillin	amoxicillin	NOUN
admet-2945	78	354	2	2	NUM
admet-2945	78	355	1	1	NUM
admet-2945	78	356	1	1	NUM
admet-2945	78	357	1	1	NUM
admet-2945	78	358	1	1	NUM
admet-2945	78	359	2	2	NUM
admet-2945	78	360	2	2	NUM
admet-2945	78	361	2	2	NUM
admet-2945	78	362	2	2	NUM
admet-2945	78	363	2	2	NUM
admet-2945	78	364	2	2	NUM
admet-2945	78	365	atenolol	atenolol	NOUN
admet-2945	78	366	2	2	NUM
admet-2945	78	367	1	1	NUM
admet-2945	78	368	2	2	NUM
admet-2945	78	369	2	2	NUM
admet-2945	78	370	2	2	NUM
admet-2945	78	371	2	2	NUM
admet-2945	78	372	2	2	NUM
admet-2945	78	373	2	2	NUM
admet-2945	78	374	2	2	NUM
admet-2945	78	375	2	2	NUM
admet-2945	78	376	2	2	NUM
admet-2945	78	377	baclofen	baclofen	NOUN
admet-2945	78	378	2	2	NUM
admet-2945	78	379	1	1	NUM
admet-2945	78	380	1	1	NUM
admet-2945	78	381	1	1	NUM
admet-2945	78	382	2	2	NUM
admet-2945	78	383	2	2	NUM
admet-2945	78	384	2	2	NUM
admet-2945	78	385	2	2	NUM
admet-2945	78	386	2	2	NUM
admet-2945	78	387	2	2	NUM
admet-2945	78	388	2	2	NUM
admet-2945	78	389	cadralazine	cadralazine	NOUN
admet-2945	78	390	2	2	NUM
admet-2945	78	391	1	1	NUM
admet-2945	78	392	1	1	NUM
admet-2945	78	393	1	1	NUM
admet-2945	78	394	1	1	NUM
admet-2945	78	395	2	2	NUM
admet-2945	78	396	2	2	NUM
admet-2945	78	397	2	2	NUM
admet-2945	78	398	2	2	NUM
admet-2945	78	399	2	2	NUM
admet-2945	78	400	2	2	NUM
admet-2945	78	401	captopril	captopril	NOUN
admet-2945	78	402	2	2	NUM
admet-2945	78	403	1	1	NUM
admet-2945	78	404	1	1	NUM
admet-2945	78	405	1	1	NUM
admet-2945	78	406	2	2	NUM
admet-2945	78	407	2	2	NUM
admet-2945	78	408	2	2	NUM
admet-2945	78	409	2	2	NUM
admet-2945	78	410	2	2	NUM
admet-2945	78	411	2	2	NUM
admet-2945	78	412	2	2	NUM
admet-2945	78	413	acyclovir	acyclovir	NOUN
admet-2945	78	414	2	2	NUM
admet-2945	78	415	1	1	NUM
admet-2945	78	416	1	1	NUM
admet-2945	78	417	1	1	NUM
admet-2945	78	418	2	2	NUM
admet-2945	78	419	2	2	NUM
admet-2945	78	420	2	2	NUM
admet-2945	78	421	2	2	NUM
admet-2945	78	422	2	2	NUM
admet-2945	78	423	2	2	NUM
admet-2945	78	424	2	2	NUM
admet-2945	78	425	cefpodoxime	cefpodoxime	NOUN
admet-2945	78	426	2	2	NUM
admet-2945	78	427	1	1	NUM
admet-2945	78	428	1	1	NUM
admet-2945	78	429	1	1	NUM
admet-2945	78	430	1	1	NUM
admet-2945	78	431	1	1	NUM
admet-2945	78	432	1	1	NUM
admet-2945	78	433	2	2	NUM
admet-2945	78	434	2	2	NUM
admet-2945	78	435	2	2	NUM
admet-2945	78	436	2	2	NUM
admet-2945	78	437	we	we	PRON
admet-2945	78	438	also	also	ADV
admet-2945	78	439	examined	examine	VERB
admet-2945	78	440	the	the	DET
admet-2945	78	441	effect	effect	NOUN
admet-2945	78	442	of	of	ADP
admet-2945	78	443	the	the	DET
admet-2945	78	444	molecular	molecular	ADJ
admet-2945	78	445	weight	weight	NOUN
admet-2945	78	446	descriptor	descriptor	NOUN
admet-2945	78	447	on	on	ADP
admet-2945	78	448	the	the	DET
admet-2945	78	449	classification	classification	NOUN
admet-2945	78	450	/	/	SYM
admet-2945	78	451	prediction	prediction	NOUN
admet-2945	78	452	of	of	ADP
admet-2945	78	453	bddcs	bddcs	ADJ
admet-2945	78	454	metabolism	metabolism	NOUN
admet-2945	78	455	classes	class	NOUN
admet-2945	78	456	(	(	PUNCT
admet-2945	78	457	extensive	extensive	ADJ
admet-2945	78	458	vs.	vs.	X
admet-2945	78	459	poor	poor	ADJ
admet-2945	78	460	)	)	PUNCT
admet-2945	78	461	,	,	PUNCT
admet-2945	78	462	since	since	SCONJ
admet-2945	78	463	its	its	PRON
admet-2945	78	464	χ²	χ²	PROPN
admet-2945	78	465	value	value	NOUN
admet-2945	78	466	was	be	AUX
admet-2945	78	467	notably	notably	ADV
admet-2945	78	468	lower	low	ADJ
admet-2945	78	469	than	than	ADP
admet-2945	78	470	those	those	PRON
admet-2945	78	471	of	of	ADP
admet-2945	78	472	the	the	DET
admet-2945	78	473	other	other	ADJ
admet-2945	78	474	descriptors	descriptor	NOUN
admet-2945	78	475	(	(	PUNCT
admet-2945	78	476	see	see	VERB
admet-2945	78	477	table	table	NOUN
admet-2945	78	478	2	2	NUM
admet-2945	78	479	)	)	PUNCT
admet-2945	78	480	.	.	PUNCT
admet-2945	79	1	removing	remove	VERB
admet-2945	79	2	the	the	DET
admet-2945	79	3	molecular	molecular	ADJ
admet-2945	79	4	weight	weight	NOUN
admet-2945	79	5	descriptor	descriptor	NOUN
admet-2945	79	6	from	from	ADP
admet-2945	79	7	the	the	DET
admet-2945	79	8	parameter	parameter	NOUN
admet-2945	79	9	set	set	NOUN
admet-2945	79	10	led	lead	VERB
admet-2945	79	11	to	to	ADP
admet-2945	79	12	a	a	DET
admet-2945	79	13	significant	significant	ADJ
admet-2945	79	14	increase	increase	NOUN
admet-2945	79	15	in	in	ADP
admet-2945	79	16	the	the	DET
admet-2945	79	17	proportion	proportion	NOUN
admet-2945	79	18	of	of	ADP
admet-2945	79	19	misclassified	misclassified	ADJ
admet-2945	79	20	drugs	drug	NOUN
admet-2945	79	21	,	,	PUNCT
admet-2945	79	22	reducing	reduce	VERB
admet-2945	79	23	the	the	DET
admet-2945	79	24	overall	overall	ADJ
admet-2945	79	25	prediction	prediction	NOUN
admet-2945	79	26	accuracy	accuracy	NOUN
admet-2945	79	27	from	from	ADP
admet-2945	79	28	97	97	NUM
admet-2945	79	29	to	to	PART
admet-2945	79	30	85	85	NUM
admet-2945	79	31	%	%	NOUN
admet-2945	79	32	across	across	ADP
admet-2945	79	33	spread	spread	ADJ
admet-2945	79	34	values	value	NOUN
admet-2945	79	35	between	between	ADP
admet-2945	79	36	0.8	0.8	NUM
admet-2945	79	37	and	and	CCONJ
admet-2945	79	38	1.0	1.0	NUM
admet-2945	79	39	.	.	PUNCT
admet-2945	80	1	specifically	specifically	ADV
admet-2945	80	2	,	,	PUNCT
admet-2945	80	3	eight	eight	NUM
admet-2945	80	4	compounds	compound	NOUN
admet-2945	80	5	were	be	AUX
admet-2945	80	6	misclassified	misclassifie	VERB
admet-2945	80	7	across	across	ADP
admet-2945	80	8	different	different	ADJ
admet-2945	80	9	spread	spread	ADJ
admet-2945	80	10	values	value	NOUN
admet-2945	80	11	,	,	PUNCT
admet-2945	80	12	including	include	VERB
admet-2945	80	13	aliskiren	aliskiren	PROPN
admet-2945	80	14	,	,	PUNCT
admet-2945	80	15	azathioprine	azathioprine	NOUN
admet-2945	80	16	,	,	PUNCT
admet-2945	80	17	melphalan	melphalan	NOUN
admet-2945	80	18	,	,	PUNCT
admet-2945	80	19	armodafinil	armodafinil	ADJ
admet-2945	80	20	,	,	PUNCT
admet-2945	80	21	albuterol	albuterol	NOUN
admet-2945	80	22	,	,	PUNCT
admet-2945	80	23	amiloride	amiloride	NOUN
admet-2945	80	24	,	,	PUNCT
admet-2945	80	25	captopril	captopril	NOUN
admet-2945	80	26	and	and	CCONJ
admet-2945	80	27	acyclovir	acyclovir	PROPN
admet-2945	80	28	.	.	PUNCT
admet-2945	81	1	these	these	DET
admet-2945	81	2	results	result	NOUN
admet-2945	81	3	indicate	indicate	VERB
admet-2945	81	4	that	that	SCONJ
admet-2945	81	5	the	the	DET
admet-2945	81	6	molecular	molecular	ADJ
admet-2945	81	7	weight	weight	NOUN
admet-2945	81	8	descriptor	descriptor	NOUN
admet-2945	81	9	is	be	AUX
admet-2945	81	10	informative	informative	ADJ
admet-2945	81	11	and	and	CCONJ
admet-2945	81	12	necessary	necessary	ADJ
admet-2945	81	13	for	for	ADP
admet-2945	81	14	accurate	accurate	ADJ
admet-2945	81	15	classification	classification	NOUN
admet-2945	81	16	.	.	PUNCT
admet-2945	82	1	prediction	prediction	NOUN
admet-2945	82	2	of	of	ADP
admet-2945	82	3	bddcs	bddcs	ADJ
admet-2945	82	4	class	class	NOUN
admet-2945	82	5	according	accord	VERB
admet-2945	82	6	to	to	ADP
admet-2945	82	7	solubility	solubility	NOUN
admet-2945	82	8	(	(	PUNCT
admet-2945	82	9	high	high	ADJ
admet-2945	82	10	or	or	CCONJ
admet-2945	82	11	low	low	ADJ
admet-2945	82	12	solubility	solubility	NOUN
admet-2945	82	13	)	)	PUNCT
admet-2945	82	14	similarly	similarly	ADV
admet-2945	82	15	,	,	PUNCT
admet-2945	82	16	we	we	PRON
admet-2945	82	17	analysed	analyse	VERB
admet-2945	82	18	the	the	DET
admet-2945	82	19	influence	influence	NOUN
admet-2945	82	20	of	of	ADP
admet-2945	82	21	molecular	molecular	ADJ
admet-2945	82	22	descriptors	descriptor	NOUN
admet-2945	82	23	on	on	ADP
admet-2945	82	24	the	the	DET
admet-2945	82	25	classification	classification	NOUN
admet-2945	82	26	/	/	SYM
admet-2945	82	27	prediction	prediction	NOUN
admet-2945	82	28	of	of	ADP
admet-2945	82	29	bddcs	bddcs	PROPN
admet-2945	82	30	solubility	solubility	NOUN
admet-2945	82	31	classes	class	NOUN
admet-2945	82	32	(	(	PUNCT
admet-2945	82	33	high	high	ADJ
admet-2945	82	34	vs.	vs.	X
admet-2945	82	35	low	low	ADJ
admet-2945	82	36	)	)	PUNCT
admet-2945	82	37	.	.	PUNCT
admet-2945	83	1	the	the	DET
admet-2945	83	2	kruskal	kruskal	PROPN
admet-2945	83	3	-	-	PUNCT
admet-2945	83	4	wallis	wallis	PROPN
admet-2945	83	5	test	test	NOUN
admet-2945	83	6	was	be	AUX
admet-2945	83	7	performed	perform	VERB
admet-2945	83	8	for	for	ADP
admet-2945	83	9	11	11	NUM
admet-2945	83	10	molecular	molecular	ADJ
admet-2945	83	11	descriptors	descriptor	NOUN
admet-2945	83	12	.	.	PUNCT
admet-2945	84	1	the	the	DET
admet-2945	84	2	results	result	NOUN
admet-2945	84	3	of	of	ADP
admet-2945	84	4	the	the	DET
admet-2945	84	5	test	test	NOUN
admet-2945	84	6	are	be	AUX
admet-2945	84	7	presented	present	VERB
admet-2945	84	8	in	in	ADP
admet-2945	84	9	table	table	NOUN
admet-2945	84	10	5	5	NUM
admet-2945	84	11	.	.	PUNCT
admet-2945	85	1	the	the	DET
admet-2945	85	2	critical	critical	ADJ
admet-2945	85	3	χ²	χ²	NOUN
admet-2945	85	4	value	value	VERB
admet-2945	85	5	at	at	ADP
admet-2945	85	6	a	a	DET
admet-2945	85	7	significance	significance	NOUN
admet-2945	85	8	level	level	NOUN
admet-2945	85	9	of	of	ADP
admet-2945	85	10	5	5	NUM
admet-2945	85	11	%	%	NOUN
admet-2945	85	12	with	with	ADP
admet-2945	85	13	1	1	NUM
admet-2945	85	14	degree	degree	NOUN
admet-2945	85	15	of	of	ADP
admet-2945	85	16	freedom	freedom	NOUN
admet-2945	85	17	is	be	AUX
admet-2945	85	18	3.84	3.84	NUM
admet-2945	85	19	[	[	X
admet-2945	85	20	13	13	NUM
admet-2945	85	21	]	]	PUNCT
admet-2945	85	22	.	.	PUNCT
admet-2945	86	1	https://doi.org/10.5599/admet.2945	https://doi.org/10.5599/admet.2945	PROPN
admet-2945	86	2	y.	y.	PROPN
admet-2945	86	3	pushkarova	pushkarova	PROPN
admet-2945	86	4	et	et	PROPN
admet-2945	86	5	al	al	PROPN
admet-2945	86	6	.	.	PROPN
admet-2945	86	7	admet	admet	PROPN
admet-2945	86	8	&	&	CCONJ
admet-2945	86	9	dmpk	dmpk	PROPN
admet-2945	86	10	13(5	13(5	NUM
admet-2945	86	11	)	)	PUNCT
admet-2945	86	12	(	(	PUNCT
admet-2945	86	13	2025	2025	NUM
admet-2945	86	14	)	)	PUNCT
admet-2945	86	15	2822	2822	NUM
admet-2945	86	16	6	6	NUM
admet-2945	86	17	table	table	NOUN
admet-2945	86	18	5	5	NUM
admet-2945	86	19	.	.	PUNCT
admet-2945	86	20	results	result	NOUN
admet-2945	86	21	of	of	ADP
admet-2945	86	22	the	the	DET
admet-2945	86	23	kruskal	kruskal	NOUN
admet-2945	86	24	–	–	PUNCT
admet-2945	86	25	wallis	wallis	PROPN
admet-2945	86	26	test	test	NOUN
admet-2945	86	27	for	for	ADP
admet-2945	86	28	molecular	molecular	ADJ
admet-2945	86	29	descriptors	descriptor	NOUN
admet-2945	86	30	influencing	influence	VERB
admet-2945	86	31	solubility	solubility	NOUN
admet-2945	86	32	classification	classification	NOUN
admet-2945	86	33	descriptor	descriptor	NOUN
admet-2945	86	34	a	a	DET
admet-2945	86	35	b	b	NOUN
admet-2945	86	36	s	s	ADP
admet-2945	86	37	e	e	NOUN
admet-2945	86	38	log	log	NOUN
admet-2945	86	39	p	p	PROPN
admet-2945	86	40	log	log	NOUN
admet-2945	86	41	d	d	X
admet-2945	86	42	rotb	rotb	PROPN
admet-2945	86	43	hba	hba	PROPN
admet-2945	86	44	hbd	hbd	PROPN
admet-2945	86	45	mw	mw	X
admet-2945	86	46	psa	psa	PROPN
admet-2945	86	47	χ2	χ2	PROPN
admet-2945	86	48	1.19	1.19	NUM
admet-2945	86	49	0.00	0.00	NUM
admet-2945	86	50	18.69	18.69	NUM
admet-2945	86	51	1.71	1.71	NUM
admet-2945	86	52	18.71	18.71	NUM
admet-2945	86	53	38.81	38.81	NUM
admet-2945	86	54	0.74	0.74	NUM
admet-2945	86	55	0.21	0.21	NUM
admet-2945	86	56	5.44	5.44	NUM
admet-2945	86	57	17.57	17.57	NUM
admet-2945	86	58	0.01	0.01	NUM
admet-2945	86	59	for	for	ADP
admet-2945	86	60	the	the	DET
admet-2945	86	61	classification	classification	NOUN
admet-2945	86	62	/	/	SYM
admet-2945	86	63	prediction	prediction	NOUN
admet-2945	86	64	of	of	ADP
admet-2945	86	65	solubility	solubility	NOUN
admet-2945	86	66	(	(	PUNCT
admet-2945	86	67	high	high	ADJ
admet-2945	86	68	or	or	CCONJ
admet-2945	86	69	low	low	ADJ
admet-2945	86	70	)	)	PUNCT
admet-2945	86	71	,	,	PUNCT
admet-2945	86	72	we	we	PRON
admet-2945	86	73	recommend	recommend	VERB
admet-2945	86	74	five	five	NUM
admet-2945	86	75	molecular	molecular	ADJ
admet-2945	86	76	descriptors	descriptor	NOUN
admet-2945	86	77	:	:	PUNCT
admet-2945	86	78	dipolarity	dipolarity	NOUN
admet-2945	86	79	/	/	SYM
admet-2945	86	80	polarizability	polarizability	NOUN
admet-2945	86	81	,	,	PUNCT
admet-2945	86	82	logarithm	logarithm	NOUN
admet-2945	86	83	of	of	ADP
admet-2945	86	84	the	the	DET
admet-2945	86	85	partition	partition	NOUN
admet-2945	86	86	coefficient	coefficient	NOUN
admet-2945	86	87	,	,	PUNCT
admet-2945	86	88	distribution	distribution	NOUN
admet-2945	86	89	coefficient	coefficient	NOUN
admet-2945	86	90	,	,	PUNCT
admet-2945	86	91	hydrogen	hydrogen	NOUN
admet-2945	86	92	bond	bond	NOUN
admet-2945	86	93	donor	donor	NOUN
admet-2945	86	94	count	count	NOUN
admet-2945	86	95	and	and	CCONJ
admet-2945	86	96	molecular	molecular	ADJ
admet-2945	86	97	weight	weight	NOUN
admet-2945	86	98	.	.	PUNCT
admet-2945	87	1	no	no	DET
admet-2945	87	2	multicollinearity	multicollinearity	NOUN
admet-2945	87	3	was	be	AUX
admet-2945	87	4	observed	observe	VERB
admet-2945	87	5	among	among	ADP
admet-2945	87	6	these	these	DET
admet-2945	87	7	parameters	parameter	NOUN
admet-2945	87	8	(	(	PUNCT
admet-2945	87	9	see	see	VERB
admet-2945	87	10	table	table	NOUN
admet-2945	87	11	3	3	NUM
admet-2945	87	12	)	)	PUNCT
admet-2945	87	13	.	.	PUNCT
admet-2945	88	1	based	base	VERB
admet-2945	88	2	on	on	ADP
admet-2945	88	3	the	the	DET
admet-2945	88	4	selected	select	VERB
admet-2945	88	5	molecular	molecular	ADJ
admet-2945	88	6	descriptors	descriptor	NOUN
admet-2945	88	7	identified	identify	VERB
admet-2945	88	8	through	through	ADP
admet-2945	88	9	the	the	DET
admet-2945	88	10	kruskal	kruskal	PROPN
admet-2945	88	11	–	–	PUNCT
admet-2945	88	12	wallis	wallis	PROPN
admet-2945	88	13	test	test	NOUN
admet-2945	88	14	,	,	PUNCT
admet-2945	88	15	a	a	DET
admet-2945	88	16	probabilistic	probabilistic	ADJ
admet-2945	88	17	neural	neural	ADJ
admet-2945	88	18	network	network	NOUN
admet-2945	88	19	model	model	NOUN
admet-2945	88	20	was	be	AUX
admet-2945	88	21	constructed	construct	VERB
admet-2945	88	22	to	to	PART
admet-2945	88	23	classify	classify	VERB
admet-2945	88	24	tablet	tablet	NOUN
admet-2945	88	25	-	-	PUNCT
admet-2945	88	26	form	form	NOUN
admet-2945	88	27	drugs	drug	NOUN
admet-2945	88	28	according	accord	VERB
admet-2945	88	29	to	to	ADP
admet-2945	88	30	their	their	PRON
admet-2945	88	31	solubility	solubility	NOUN
admet-2945	88	32	profiles	profile	NOUN
admet-2945	88	33	.	.	PUNCT
admet-2945	89	1	to	to	PART
admet-2945	89	2	optimize	optimize	VERB
admet-2945	89	3	the	the	DET
admet-2945	89	4	model	model	NOUN
admet-2945	89	5	’s	’s	PART
admet-2945	89	6	predictive	predictive	ADJ
admet-2945	89	7	performance	performance	NOUN
admet-2945	89	8	,	,	PUNCT
admet-2945	89	9	different	different	ADJ
admet-2945	89	10	spread	spread	NOUN
admet-2945	89	11	parameter	parameter	NOUN
admet-2945	89	12	values	value	NOUN
admet-2945	89	13	ranging	range	VERB
admet-2945	89	14	from	from	ADP
admet-2945	89	15	0.1	0.1	NUM
admet-2945	89	16	to	to	ADP
admet-2945	89	17	1.0	1.0	NUM
admet-2945	89	18	were	be	AUX
admet-2945	89	19	evaluated	evaluate	VERB
admet-2945	89	20	.	.	PUNCT
admet-2945	90	1	the	the	DET
admet-2945	90	2	classification	classification	NOUN
admet-2945	90	3	results	result	NOUN
admet-2945	90	4	for	for	ADP
admet-2945	90	5	the	the	DET
admet-2945	90	6	testing	testing	NOUN
admet-2945	90	7	subset	subset	NOUN
admet-2945	90	8	are	be	AUX
admet-2945	90	9	summarized	summarize	VERB
admet-2945	90	10	in	in	ADP
admet-2945	90	11	table	table	NOUN
admet-2945	90	12	6	6	NUM
admet-2945	90	13	,	,	PUNCT
admet-2945	90	14	with	with	ADP
admet-2945	90	15	misclassified	misclassified	ADJ
admet-2945	90	16	drugs	drug	NOUN
admet-2945	90	17	highlighted	highlight	VERB
admet-2945	90	18	in	in	ADP
admet-2945	90	19	bold	bold	ADJ
admet-2945	90	20	.	.	PUNCT
admet-2945	91	1	the	the	DET
admet-2945	91	2	lowest	low	ADJ
admet-2945	91	3	misclassification	misclassification	NOUN
admet-2945	91	4	rate	rate	NOUN
admet-2945	91	5	was	be	AUX
admet-2945	91	6	observed	observe	VERB
admet-2945	91	7	for	for	ADP
admet-2945	91	8	spread	spread	ADJ
admet-2945	91	9	values	value	NOUN
admet-2945	91	10	between	between	ADP
admet-2945	91	11	0.7	0.7	NUM
admet-2945	91	12	and	and	CCONJ
admet-2945	91	13	1.0	1.0	NUM
admet-2945	91	14	,	,	PUNCT
admet-2945	91	15	where	where	SCONJ
admet-2945	91	16	four	four	NUM
admet-2945	91	17	drugs	drug	NOUN
admet-2945	91	18	‒	‒	ADP
admet-2945	91	19	bambuterol	bambuterol	NOUN
admet-2945	91	20	,	,	PUNCT
admet-2945	91	21	aminoglutethimide	aminoglutethimide	NOUN
admet-2945	91	22	,	,	PUNCT
admet-2945	91	23	aripiprazole	aripiprazole	NOUN
admet-2945	91	24	and	and	CCONJ
admet-2945	91	25	atenolol	atenolol	PROPN
admet-2945	91	26	‒	‒	PRON
admet-2945	91	27	were	be	AUX
admet-2945	91	28	misclassified	misclassifie	VERB
admet-2945	91	29	,	,	PUNCT
admet-2945	91	30	resulting	result	VERB
admet-2945	91	31	in	in	ADP
admet-2945	91	32	an	an	DET
admet-2945	91	33	overall	overall	ADJ
admet-2945	91	34	prediction	prediction	NOUN
admet-2945	91	35	accuracy	accuracy	NOUN
admet-2945	91	36	of	of	ADP
admet-2945	91	37	88	88	NUM
admet-2945	91	38	%	%	NOUN
admet-2945	91	39	.	.	PUNCT
admet-2945	92	1	table	table	NOUN
admet-2945	92	2	6	6	NUM
admet-2945	92	3	.	.	PUNCT
admet-2945	92	4	prediction	prediction	NOUN
admet-2945	92	5	results	result	NOUN
admet-2945	92	6	for	for	SCONJ
admet-2945	92	7	solubility	solubility	NOUN
admet-2945	92	8	using	use	VERB
admet-2945	92	9	a	a	DET
admet-2945	92	10	probabilistic	probabilistic	ADJ
admet-2945	92	11	neural	neural	ADJ
admet-2945	92	12	network	network	NOUN
admet-2945	92	13	(	(	PUNCT
admet-2945	92	14	1	1	NUM
admet-2945	92	15	–	–	PUNCT
admet-2945	92	16	high	high	ADJ
admet-2945	92	17	solubility	solubility	NOUN
admet-2945	92	18	,	,	PUNCT
admet-2945	92	19	2	2	NUM
admet-2945	92	20	–	–	PUNCT
admet-2945	92	21	low	low	ADJ
admet-2945	92	22	solubility	solubility	NOUN
admet-2945	92	23	)	)	PUNCT
admet-2945	92	24	drug	drug	NOUN
admet-2945	92	25	correct	correct	ADJ
admet-2945	92	26	bddcs	bddcs	PROPN
admet-2945	92	27	class	class	PROPN
admet-2945	92	28	pnn	pnn	PROPN
admet-2945	92	29	spread	spread	VERB
admet-2945	92	30	values	value	NOUN
admet-2945	92	31	0.1	0.1	NUM
admet-2945	92	32	0.2	0.2	NUM
admet-2945	92	33	0.3	0.3	NUM
admet-2945	92	34	0.4	0.4	NUM
admet-2945	92	35	0.5	0.5	NUM
admet-2945	92	36	0.6	0.6	NUM
admet-2945	92	37	0.7	0.7	NUM
admet-2945	92	38	0.8	0.8	NUM
admet-2945	92	39	0.9	0.9	NUM
admet-2945	92	40	1.0	1.0	NUM
admet-2945	92	41	predicted	predict	VERB
admet-2945	92	42	class	class	NOUN
admet-2945	92	43	acetohexamide	acetohexamide	NOUN
admet-2945	92	44	1	1	NUM
admet-2945	92	45	1	1	NUM
admet-2945	92	46	1	1	NUM
admet-2945	92	47	1	1	NUM
admet-2945	92	48	1	1	NUM
admet-2945	92	49	1	1	NUM
admet-2945	92	50	1	1	NUM
admet-2945	92	51	1	1	NUM
admet-2945	92	52	1	1	NUM
admet-2945	92	53	1	1	NUM
admet-2945	92	54	1	1	NUM
admet-2945	92	55	aliskiren	aliskiren	NOUN
admet-2945	92	56	1	1	NUM
admet-2945	92	57	1	1	NUM
admet-2945	92	58	1	1	NUM
admet-2945	92	59	1	1	NUM
admet-2945	92	60	1	1	NUM
admet-2945	92	61	1	1	NUM
admet-2945	92	62	1	1	NUM
admet-2945	92	63	1	1	NUM
admet-2945	92	64	1	1	NUM
admet-2945	92	65	1	1	NUM
admet-2945	92	66	1	1	NUM
admet-2945	92	67	alosetron	alosetron	NOUN
admet-2945	92	68	1	1	NUM
admet-2945	92	69	1	1	NUM
admet-2945	92	70	1	1	NUM
admet-2945	92	71	1	1	NUM
admet-2945	92	72	1	1	NUM
admet-2945	92	73	1	1	NUM
admet-2945	92	74	1	1	NUM
admet-2945	92	75	1	1	NUM
admet-2945	92	76	1	1	NUM
admet-2945	92	77	1	1	NUM
admet-2945	92	78	1	1	NUM
admet-2945	92	79	alprazolam	alprazolam	NOUN
admet-2945	92	80	1	1	NUM
admet-2945	92	81	1	1	NUM
admet-2945	92	82	1	1	NUM
admet-2945	92	83	1	1	NUM
admet-2945	92	84	1	1	NUM
admet-2945	92	85	1	1	NUM
admet-2945	92	86	1	1	NUM
admet-2945	92	87	1	1	NUM
admet-2945	92	88	1	1	NUM
admet-2945	92	89	1	1	NUM
admet-2945	92	90	1	1	NUM
admet-2945	92	91	ambrisentan	ambrisentan	ADJ
admet-2945	92	92	1	1	NUM
admet-2945	92	93	1	1	NUM
admet-2945	92	94	1	1	NUM
admet-2945	92	95	1	1	NUM
admet-2945	92	96	1	1	NUM
admet-2945	92	97	1	1	NUM
admet-2945	92	98	1	1	NUM
admet-2945	92	99	1	1	NUM
admet-2945	92	100	1	1	NUM
admet-2945	92	101	1	1	NUM
admet-2945	92	102	1	1	NUM
admet-2945	92	103	aminophenazone	aminophenazone	NOUN
admet-2945	92	104	1	1	NUM
admet-2945	92	105	1	1	NUM
admet-2945	92	106	1	1	NUM
admet-2945	92	107	1	1	NUM
admet-2945	92	108	1	1	NUM
admet-2945	92	109	1	1	NUM
admet-2945	92	110	1	1	NUM
admet-2945	92	111	1	1	NUM
admet-2945	92	112	1	1	NUM
admet-2945	92	113	1	1	NUM
admet-2945	92	114	1	1	NUM
admet-2945	92	115	amlodipine	amlodipine	NOUN
admet-2945	92	116	1	1	NUM
admet-2945	92	117	1	1	NUM
admet-2945	92	118	1	1	NUM
admet-2945	92	119	1	1	NUM
admet-2945	92	120	1	1	NUM
admet-2945	92	121	1	1	NUM
admet-2945	92	122	1	1	NUM
admet-2945	92	123	1	1	NUM
admet-2945	92	124	1	1	NUM
admet-2945	92	125	1	1	NUM
admet-2945	92	126	1	1	NUM
admet-2945	92	127	amoxapine	amoxapine	NOUN
admet-2945	92	128	1	1	NUM
admet-2945	92	129	1	1	NUM
admet-2945	92	130	1	1	NUM
admet-2945	92	131	1	1	NUM
admet-2945	92	132	1	1	NUM
admet-2945	92	133	1	1	NUM
admet-2945	92	134	1	1	NUM
admet-2945	92	135	1	1	NUM
admet-2945	92	136	1	1	NUM
admet-2945	92	137	1	1	NUM
admet-2945	92	138	1	1	NUM
admet-2945	92	139	anastrozole	anastrozole	NOUN
admet-2945	92	140	1	1	NUM
admet-2945	92	141	1	1	NUM
admet-2945	92	142	1	1	NUM
admet-2945	92	143	1	1	NUM
admet-2945	92	144	1	1	NUM
admet-2945	92	145	1	1	NUM
admet-2945	92	146	1	1	NUM
admet-2945	92	147	1	1	NUM
admet-2945	92	148	1	1	NUM
admet-2945	92	149	1	1	NUM
admet-2945	92	150	1	1	NUM
admet-2945	92	151	asenapine	asenapine	NOUN
admet-2945	92	152	2	2	NUM
admet-2945	92	153	1	1	NUM
admet-2945	92	154	2	2	NUM
admet-2945	92	155	2	2	NUM
admet-2945	92	156	2	2	NUM
admet-2945	92	157	2	2	NUM
admet-2945	92	158	2	2	NUM
admet-2945	92	159	2	2	NUM
admet-2945	92	160	2	2	NUM
admet-2945	92	161	2	2	NUM
admet-2945	92	162	2	2	NUM
admet-2945	92	163	azathioprine	azathioprine	NOUN
admet-2945	92	164	2	2	NUM
admet-2945	92	165	2	2	NUM
admet-2945	92	166	2	2	NUM
admet-2945	92	167	2	2	NUM
admet-2945	92	168	2	2	NUM
admet-2945	92	169	2	2	NUM
admet-2945	92	170	2	2	NUM
admet-2945	92	171	2	2	NUM
admet-2945	92	172	2	2	NUM
admet-2945	92	173	2	2	NUM
admet-2945	92	174	2	2	NUM
admet-2945	92	175	bambuterol	bambuterol	NOUN
admet-2945	92	176	2	2	NUM
admet-2945	92	177	1	1	NUM
admet-2945	92	178	1	1	NUM
admet-2945	92	179	1	1	NUM
admet-2945	92	180	1	1	NUM
admet-2945	92	181	1	1	NUM
admet-2945	92	182	1	1	NUM
admet-2945	92	183	1	1	NUM
admet-2945	92	184	1	1	NUM
admet-2945	92	185	1	1	NUM
admet-2945	92	186	1	1	NUM
admet-2945	92	187	melphalan	melphalan	NOUN
admet-2945	92	188	2	2	NUM
admet-2945	92	189	2	2	NUM
admet-2945	92	190	2	2	NUM
admet-2945	92	191	2	2	NUM
admet-2945	92	192	2	2	NUM
admet-2945	92	193	2	2	NUM
admet-2945	92	194	2	2	NUM
admet-2945	92	195	2	2	NUM
admet-2945	92	196	2	2	NUM
admet-2945	92	197	2	2	NUM
admet-2945	92	198	2	2	NUM
admet-2945	92	199	omeprazole	omeprazole	NOUN
admet-2945	92	200	2	2	NUM
admet-2945	92	201	2	2	NUM
admet-2945	92	202	2	2	NUM
admet-2945	92	203	2	2	NUM
admet-2945	92	204	2	2	NUM
admet-2945	92	205	2	2	NUM
admet-2945	92	206	2	2	NUM
admet-2945	92	207	2	2	NUM
admet-2945	92	208	2	2	NUM
admet-2945	92	209	2	2	NUM
admet-2945	92	210	2	2	NUM
admet-2945	92	211	prochlorperazine	prochlorperazine	NOUN
admet-2945	92	212	2	2	NUM
admet-2945	92	213	2	2	NUM
admet-2945	92	214	2	2	NUM
admet-2945	92	215	2	2	NUM
admet-2945	92	216	2	2	NUM
admet-2945	92	217	2	2	NUM
admet-2945	92	218	2	2	NUM
admet-2945	92	219	2	2	NUM
admet-2945	92	220	2	2	NUM
admet-2945	92	221	2	2	NUM
admet-2945	92	222	2	2	NUM
admet-2945	92	223	thioridazine	thioridazine	NOUN
admet-2945	92	224	2	2	NUM
admet-2945	92	225	2	2	NUM
admet-2945	92	226	2	2	NUM
admet-2945	92	227	2	2	NUM
admet-2945	92	228	2	2	NUM
admet-2945	92	229	2	2	NUM
admet-2945	92	230	2	2	NUM
admet-2945	92	231	2	2	NUM
admet-2945	92	232	2	2	NUM
admet-2945	92	233	2	2	NUM
admet-2945	92	234	2	2	NUM
admet-2945	92	235	triamcinolone	triamcinolone	NOUN
admet-2945	92	236	acetonide	acetonide	NOUN
admet-2945	92	237	2	2	NUM
admet-2945	92	238	1	1	NUM
admet-2945	92	239	2	2	NUM
admet-2945	92	240	2	2	NUM
admet-2945	92	241	2	2	NUM
admet-2945	92	242	2	2	NUM
admet-2945	92	243	2	2	NUM
admet-2945	92	244	2	2	NUM
admet-2945	92	245	2	2	NUM
admet-2945	92	246	2	2	NUM
admet-2945	92	247	2	2	NUM
admet-2945	92	248	aminoglutethimide	aminoglutethimide	VERB
admet-2945	92	249	2	2	NUM
admet-2945	92	250	1	1	NUM
admet-2945	92	251	1	1	NUM
admet-2945	92	252	1	1	NUM
admet-2945	92	253	1	1	NUM
admet-2945	92	254	1	1	NUM
admet-2945	92	255	1	1	NUM
admet-2945	92	256	1	1	NUM
admet-2945	92	257	1	1	NUM
admet-2945	92	258	1	1	NUM
admet-2945	92	259	1	1	NUM
admet-2945	92	260	aripiprazole	aripiprazole	NOUN
admet-2945	92	261	1	1	NUM
admet-2945	92	262	1	1	NUM
admet-2945	92	263	2	2	NUM
admet-2945	92	264	2	2	NUM
admet-2945	92	265	2	2	NUM
admet-2945	92	266	2	2	NUM
admet-2945	92	267	2	2	NUM
admet-2945	92	268	2	2	NUM
admet-2945	92	269	2	2	NUM
admet-2945	92	270	2	2	NUM
admet-2945	92	271	2	2	NUM
admet-2945	92	272	armodafinil	armodafinil	NOUN
admet-2945	92	273	1	1	NUM
admet-2945	92	274	1	1	NUM
admet-2945	92	275	1	1	NUM
admet-2945	92	276	1	1	NUM
admet-2945	92	277	1	1	NUM
admet-2945	92	278	1	1	NUM
admet-2945	92	279	1	1	NUM
admet-2945	92	280	1	1	NUM
admet-2945	92	281	1	1	NUM
admet-2945	92	282	1	1	NUM
admet-2945	92	283	1	1	NUM
admet-2945	92	284	astemizole	astemizole	NOUN
admet-2945	92	285	1	1	NUM
admet-2945	92	286	1	1	NUM
admet-2945	92	287	1	1	NUM
admet-2945	92	288	1	1	NUM
admet-2945	92	289	1	1	NUM
admet-2945	92	290	1	1	NUM
admet-2945	92	291	1	1	NUM
admet-2945	92	292	1	1	NUM
admet-2945	92	293	1	1	NUM
admet-2945	92	294	1	1	NUM
admet-2945	92	295	1	1	NUM
admet-2945	92	296	bevantolol	bevantolol	NOUN
admet-2945	92	297	1	1	NUM
admet-2945	92	298	1	1	NUM
admet-2945	92	299	1	1	NUM
admet-2945	92	300	1	1	NUM
admet-2945	92	301	1	1	NUM
admet-2945	92	302	1	1	NUM
admet-2945	92	303	1	1	NUM
admet-2945	92	304	1	1	NUM
admet-2945	92	305	1	1	NUM
admet-2945	92	306	1	1	NUM
admet-2945	92	307	1	1	NUM
admet-2945	92	308	bicalutamide	bicalutamide	VERB
admet-2945	92	309	1	1	NUM
admet-2945	92	310	1	1	NUM
admet-2945	92	311	1	1	NUM
admet-2945	92	312	1	1	NUM
admet-2945	92	313	1	1	NUM
admet-2945	92	314	1	1	NUM
admet-2945	92	315	1	1	NUM
admet-2945	92	316	1	1	NUM
admet-2945	92	317	1	1	NUM
admet-2945	92	318	1	1	NUM
admet-2945	92	319	1	1	NUM
admet-2945	92	320	bosentan	bosentan	ADJ
admet-2945	92	321	1	1	NUM
admet-2945	92	322	1	1	NUM
admet-2945	92	323	1	1	NUM
admet-2945	92	324	1	1	NUM
admet-2945	92	325	1	1	NUM
admet-2945	92	326	1	1	NUM
admet-2945	92	327	1	1	NUM
admet-2945	92	328	1	1	NUM
admet-2945	92	329	1	1	NUM
admet-2945	92	330	1	1	NUM
admet-2945	92	331	1	1	NUM
admet-2945	92	332	albuterol	albuterol	NOUN
admet-2945	92	333	1	1	NUM
admet-2945	92	334	1	1	NUM
admet-2945	92	335	1	1	NUM
admet-2945	92	336	1	1	NUM
admet-2945	92	337	1	1	NUM
admet-2945	92	338	1	1	NUM
admet-2945	92	339	1	1	NUM
admet-2945	92	340	1	1	NUM
admet-2945	92	341	1	1	NUM
admet-2945	92	342	1	1	NUM
admet-2945	92	343	1	1	NUM
admet-2945	92	344	amiloride	amiloride	NOUN
admet-2945	92	345	1	1	NUM
admet-2945	92	346	1	1	NUM
admet-2945	92	347	1	1	NUM
admet-2945	92	348	1	1	NUM
admet-2945	92	349	1	1	NUM
admet-2945	92	350	1	1	NUM
admet-2945	92	351	1	1	NUM
admet-2945	92	352	1	1	NUM
admet-2945	92	353	1	1	NUM
admet-2945	92	354	1	1	NUM
admet-2945	92	355	1	1	NUM
admet-2945	92	356	amoxicillin	amoxicillin	NOUN
admet-2945	92	357	1	1	NUM
admet-2945	92	358	1	1	NUM
admet-2945	92	359	1	1	NUM
admet-2945	92	360	1	1	NUM
admet-2945	92	361	1	1	NUM
admet-2945	92	362	1	1	NUM
admet-2945	92	363	1	1	NUM
admet-2945	92	364	1	1	NUM
admet-2945	92	365	1	1	NUM
admet-2945	92	366	1	1	NUM
admet-2945	92	367	1	1	NUM
admet-2945	92	368	atenolol	atenolol	NOUN
admet-2945	92	369	1	1	NUM
admet-2945	92	370	2	2	NUM
admet-2945	92	371	2	2	NUM
admet-2945	92	372	2	2	NUM
admet-2945	92	373	2	2	NUM
admet-2945	92	374	2	2	NUM
admet-2945	92	375	2	2	NUM
admet-2945	92	376	2	2	NUM
admet-2945	92	377	2	2	NUM
admet-2945	92	378	2	2	NUM
admet-2945	92	379	2	2	NUM
admet-2945	92	380	baclofen	baclofen	NOUN
admet-2945	92	381	2	2	NUM
admet-2945	92	382	1	1	NUM
admet-2945	92	383	1	1	NUM
admet-2945	92	384	1	1	NUM
admet-2945	92	385	1	1	NUM
admet-2945	92	386	1	1	NUM
admet-2945	92	387	1	1	NUM
admet-2945	92	388	2	2	NUM
admet-2945	92	389	2	2	NUM
admet-2945	92	390	2	2	NUM
admet-2945	92	391	2	2	NUM
admet-2945	92	392	cadralazine	cadralazine	NOUN
admet-2945	92	393	2	2	NUM
admet-2945	92	394	1	1	NUM
admet-2945	92	395	2	2	NUM
admet-2945	92	396	2	2	NUM
admet-2945	92	397	2	2	NUM
admet-2945	92	398	2	2	NUM
admet-2945	92	399	2	2	NUM
admet-2945	92	400	2	2	NUM
admet-2945	92	401	2	2	NUM
admet-2945	92	402	2	2	NUM
admet-2945	92	403	2	2	NUM
admet-2945	92	404	captopril	captopril	NOUN
admet-2945	92	405	2	2	NUM
admet-2945	92	406	2	2	NUM
admet-2945	92	407	2	2	NUM
admet-2945	92	408	2	2	NUM
admet-2945	92	409	2	2	NUM
admet-2945	92	410	2	2	NUM
admet-2945	92	411	2	2	NUM
admet-2945	92	412	2	2	NUM
admet-2945	92	413	2	2	NUM
admet-2945	92	414	2	2	NUM
admet-2945	92	415	2	2	NUM
admet-2945	92	416	acyclovir	acyclovir	NOUN
admet-2945	92	417	2	2	NUM
admet-2945	92	418	2	2	NUM
admet-2945	92	419	2	2	NUM
admet-2945	92	420	2	2	NUM
admet-2945	92	421	2	2	NUM
admet-2945	92	422	2	2	NUM
admet-2945	92	423	2	2	NUM
admet-2945	92	424	2	2	NUM
admet-2945	92	425	2	2	NUM
admet-2945	92	426	2	2	NUM
admet-2945	92	427	2	2	NUM
admet-2945	92	428	cefpodoxime	cefpodoxime	NOUN
admet-2945	92	429	2	2	NUM
admet-2945	92	430	1	1	NUM
admet-2945	92	431	1	1	NUM
admet-2945	92	432	1	1	NUM
admet-2945	92	433	1	1	NUM
admet-2945	92	434	1	1	NUM
admet-2945	92	435	2	2	NUM
admet-2945	92	436	2	2	NUM
admet-2945	92	437	2	2	NUM
admet-2945	92	438	2	2	NUM
admet-2945	92	439	2	2	NUM
admet-2945	92	440	admet	admet	NOUN
admet-2945	92	441	&	&	CCONJ
admet-2945	92	442	dmpk	dmpk	PROPN
admet-2945	92	443	3(5	3(5	NUM
admet-2945	92	444	)	)	PUNCT
admet-2945	92	445	(	(	PUNCT
admet-2945	92	446	2025	2025	NUM
admet-2945	92	447	)	)	PUNCT
admet-2945	92	448	2822	2822	NUM
admet-2945	92	449	prediction	prediction	NOUN
admet-2945	92	450	of	of	ADP
admet-2945	92	451	metabolism	metabolism	NOUN
admet-2945	92	452	and	and	CCONJ
admet-2945	92	453	solubility	solubility	NOUN
admet-2945	92	454	of	of	ADP
admet-2945	92	455	drugs	drug	NOUN
admet-2945	92	456	according	accord	VERB
admet-2945	92	457	to	to	ADP
admet-2945	92	458	bddcs	bddcs	PROPN
admet-2945	92	459	doi	doi	PROPN
admet-2945	92	460	:	:	PUNCT
admet-2945	92	461	https://doi.org/10.5599/admet.2945	https://doi.org/10.5599/admet.2945	NOUN
admet-2945	92	462	7	7	NUM
admet-2945	92	463	the	the	DET
admet-2945	92	464	results	result	NOUN
admet-2945	92	465	demonstrate	demonstrate	VERB
admet-2945	92	466	the	the	DET
admet-2945	92	467	effectiveness	effectiveness	NOUN
admet-2945	92	468	of	of	ADP
admet-2945	92	469	the	the	DET
admet-2945	92	470	proposed	propose	VERB
admet-2945	92	471	models	model	NOUN
admet-2945	92	472	in	in	ADP
admet-2945	92	473	predicting	predict	VERB
admet-2945	92	474	the	the	DET
admet-2945	92	475	metabolism	metabolism	NOUN
admet-2945	92	476	and	and	CCONJ
admet-2945	92	477	solubility	solubility	NOUN
admet-2945	92	478	categories	category	NOUN
admet-2945	92	479	of	of	ADP
admet-2945	92	480	tablet	tablet	ADJ
admet-2945	92	481	-	-	PUNCT
admet-2945	92	482	form	form	NOUN
admet-2945	92	483	drugs	drug	NOUN
admet-2945	92	484	,	,	PUNCT
admet-2945	92	485	offering	offer	VERB
admet-2945	92	486	a	a	DET
admet-2945	92	487	valuable	valuable	ADJ
admet-2945	92	488	tool	tool	NOUN
admet-2945	92	489	for	for	ADP
admet-2945	92	490	early	early	ADJ
admet-2945	92	491	-	-	PUNCT
admet-2945	92	492	stage	stage	NOUN
admet-2945	92	493	drug	drug	NOUN
admet-2945	92	494	development	development	NOUN
admet-2945	92	495	.	.	PUNCT
admet-2945	93	1	the	the	DET
admet-2945	93	2	high	high	ADJ
admet-2945	93	3	accuracy	accuracy	NOUN
admet-2945	93	4	achieved	achieve	VERB
admet-2945	93	5	underscores	underscore	VERB
admet-2945	93	6	the	the	DET
admet-2945	93	7	critical	critical	ADJ
admet-2945	93	8	importance	importance	NOUN
admet-2945	93	9	of	of	ADP
admet-2945	93	10	selecting	select	VERB
admet-2945	93	11	appropriate	appropriate	ADJ
admet-2945	93	12	molecular	molecular	ADJ
admet-2945	93	13	descriptors	descriptor	NOUN
admet-2945	93	14	and	and	CCONJ
admet-2945	93	15	optimizing	optimize	VERB
admet-2945	93	16	model	model	NOUN
admet-2945	93	17	parameters	parameter	NOUN
admet-2945	93	18	to	to	PART
admet-2945	93	19	ensure	ensure	VERB
admet-2945	93	20	robust	robust	ADJ
admet-2945	93	21	and	and	CCONJ
admet-2945	93	22	reliable	reliable	ADJ
admet-2945	93	23	predictions	prediction	NOUN
admet-2945	93	24	.	.	PUNCT
admet-2945	94	1	the	the	DET
admet-2945	94	2	identified	identify	VERB
admet-2945	94	3	molecular	molecular	ADJ
admet-2945	94	4	descriptors	descriptor	NOUN
admet-2945	94	5	highlight	highlight	VERB
admet-2945	94	6	both	both	CCONJ
admet-2945	94	7	shared	share	VERB
admet-2945	94	8	and	and	CCONJ
admet-2945	94	9	unique	unique	ADJ
admet-2945	94	10	physicochemical	physicochemical	ADJ
admet-2945	94	11	properties	property	NOUN
admet-2945	94	12	influencing	influence	VERB
admet-2945	94	13	metabolism	metabolism	NOUN
admet-2945	94	14	and	and	CCONJ
admet-2945	94	15	solubility	solubility	NOUN
admet-2945	94	16	classification	classification	NOUN
admet-2945	94	17	.	.	PUNCT
admet-2945	95	1	notably	notably	ADV
admet-2945	95	2	,	,	PUNCT
admet-2945	95	3	the	the	DET
admet-2945	95	4	logarithm	logarithm	NOUN
admet-2945	95	5	of	of	ADP
admet-2945	95	6	the	the	DET
admet-2945	95	7	partition	partition	NOUN
admet-2945	95	8	coefficient	coefficient	NOUN
admet-2945	95	9	,	,	PUNCT
admet-2945	95	10	distribution	distribution	NOUN
admet-2945	95	11	coefficient	coefficient	NOUN
admet-2945	95	12	and	and	CCONJ
admet-2945	95	13	molecular	molecular	ADJ
admet-2945	95	14	weight	weight	NOUN
admet-2945	95	15	play	play	VERB
admet-2945	95	16	central	central	ADJ
admet-2945	95	17	roles	role	NOUN
admet-2945	95	18	in	in	ADP
admet-2945	95	19	predicting	predict	VERB
admet-2945	95	20	both	both	DET
admet-2945	95	21	parameters	parameter	NOUN
admet-2945	95	22	,	,	PUNCT
admet-2945	95	23	reflecting	reflect	VERB
admet-2945	95	24	their	their	PRON
admet-2945	95	25	fundamental	fundamental	ADJ
admet-2945	95	26	influence	influence	NOUN
admet-2945	95	27	on	on	ADP
admet-2945	95	28	drug	drug	NOUN
admet-2945	95	29	behaviour	behaviour	NOUN
admet-2945	95	30	.	.	PUNCT
admet-2945	96	1	in	in	ADP
admet-2945	96	2	contrast	contrast	NOUN
admet-2945	96	3	,	,	PUNCT
admet-2945	96	4	descriptors	descriptor	NOUN
admet-2945	96	5	such	such	ADJ
admet-2945	96	6	as	as	ADP
admet-2945	96	7	hydrogen	hydrogen	NOUN
admet-2945	96	8	bond	bond	NOUN
admet-2945	96	9	acidity	acidity	NOUN
admet-2945	96	10	,	,	PUNCT
admet-2945	96	11	hydrogen	hydrogen	NOUN
admet-2945	96	12	bond	bond	NOUN
admet-2945	96	13	acceptor	acceptor	NOUN
admet-2945	96	14	count	count	NOUN
admet-2945	96	15	and	and	CCONJ
admet-2945	96	16	polar	polar	ADJ
admet-2945	96	17	surface	surface	NOUN
admet-2945	96	18	area	area	NOUN
admet-2945	96	19	are	be	AUX
admet-2945	96	20	specifically	specifically	ADV
admet-2945	96	21	relevant	relevant	ADJ
admet-2945	96	22	to	to	ADP
admet-2945	96	23	metabolism	metabolism	NOUN
admet-2945	96	24	,	,	PUNCT
admet-2945	96	25	whereas	whereas	SCONJ
admet-2945	96	26	dipolarity	dipolarity	NOUN
admet-2945	96	27	/	/	SYM
admet-2945	96	28	polarizability	polarizability	NOUN
admet-2945	96	29	and	and	CCONJ
admet-2945	96	30	hydrogen	hydrogen	NOUN
admet-2945	96	31	bond	bond	NOUN
admet-2945	96	32	donor	donor	NOUN
admet-2945	96	33	count	count	NOUN
admet-2945	96	34	are	be	AUX
admet-2945	96	35	more	more	ADV
admet-2945	96	36	critical	critical	ADJ
admet-2945	96	37	for	for	ADP
admet-2945	96	38	solubility	solubility	NOUN
admet-2945	96	39	.	.	PUNCT
admet-2945	97	1	this	this	DET
admet-2945	97	2	distinction	distinction	NOUN
admet-2945	97	3	highlights	highlight	VERB
admet-2945	97	4	the	the	DET
admet-2945	97	5	distinct	distinct	ADJ
admet-2945	97	6	biochemical	biochemical	ADJ
admet-2945	97	7	and	and	CCONJ
admet-2945	97	8	physicochemical	physicochemical	ADJ
admet-2945	97	9	mechanisms	mechanism	NOUN
admet-2945	97	10	that	that	PRON
admet-2945	97	11	govern	govern	VERB
admet-2945	97	12	these	these	DET
admet-2945	97	13	two	two	NUM
admet-2945	97	14	crucial	crucial	ADJ
admet-2945	97	15	biopharmaceutical	biopharmaceutical	ADJ
admet-2945	97	16	properties	property	NOUN
admet-2945	97	17	.	.	PUNCT
admet-2945	98	1	the	the	DET
admet-2945	98	2	observed	observe	VERB
admet-2945	98	3	difference	difference	NOUN
admet-2945	98	4	in	in	ADP
admet-2945	98	5	predictive	predictive	ADJ
admet-2945	98	6	accuracy	accuracy	NOUN
admet-2945	98	7	between	between	ADP
admet-2945	98	8	metabolism	metabolism	NOUN
admet-2945	98	9	and	and	CCONJ
admet-2945	98	10	solubility	solubility	NOUN
admet-2945	98	11	classifications	classification	NOUN
admet-2945	98	12	can	can	AUX
admet-2945	98	13	be	be	AUX
admet-2945	98	14	attributed	attribute	VERB
admet-2945	98	15	to	to	ADP
admet-2945	98	16	the	the	DET
admet-2945	98	17	inherently	inherently	ADV
admet-2945	98	18	multifactorial	multifactorial	ADJ
admet-2945	98	19	nature	nature	NOUN
admet-2945	98	20	of	of	ADP
admet-2945	98	21	solubility	solubility	NOUN
admet-2945	98	22	.	.	PUNCT
admet-2945	99	1	while	while	SCONJ
admet-2945	99	2	metabolism	metabolism	NOUN
admet-2945	99	3	is	be	AUX
admet-2945	99	4	largely	largely	ADV
admet-2945	99	5	governed	govern	VERB
admet-2945	99	6	by	by	ADP
admet-2945	99	7	specific	specific	ADJ
admet-2945	99	8	enzymatic	enzymatic	ADJ
admet-2945	99	9	processes	process	NOUN
admet-2945	99	10	and	and	CCONJ
admet-2945	99	11	thus	thus	ADV
admet-2945	99	12	may	may	AUX
admet-2945	99	13	be	be	AUX
admet-2945	99	14	more	more	ADV
admet-2945	99	15	directly	directly	ADV
admet-2945	99	16	associated	associate	VERB
admet-2945	99	17	with	with	ADP
admet-2945	99	18	certain	certain	ADJ
admet-2945	99	19	molecular	molecular	ADJ
admet-2945	99	20	features	feature	NOUN
admet-2945	99	21	,	,	PUNCT
admet-2945	99	22	solubility	solubility	NOUN
admet-2945	99	23	is	be	AUX
admet-2945	99	24	influenced	influence	VERB
admet-2945	99	25	by	by	ADP
admet-2945	99	26	a	a	DET
admet-2945	99	27	broader	broad	ADJ
admet-2945	99	28	spectrum	spectrum	NOUN
admet-2945	99	29	of	of	ADP
admet-2945	99	30	physicochemical	physicochemical	ADJ
admet-2945	99	31	and	and	CCONJ
admet-2945	99	32	structural	structural	ADJ
admet-2945	99	33	factors	factor	NOUN
admet-2945	99	34	.	.	PUNCT
admet-2945	100	1	these	these	PRON
admet-2945	100	2	include	include	VERB
admet-2945	100	3	molecular	molecular	ADJ
admet-2945	100	4	interactions	interaction	NOUN
admet-2945	100	5	with	with	ADP
admet-2945	100	6	solvents	solvent	NOUN
admet-2945	100	7	,	,	PUNCT
admet-2945	100	8	crystalline	crystalline	NOUN
admet-2945	100	9	forms	form	NOUN
admet-2945	100	10	,	,	PUNCT
admet-2945	100	11	polymorphism	polymorphism	NOUN
admet-2945	100	12	,	,	PUNCT
admet-2945	100	13	and	and	CCONJ
admet-2945	100	14	dynamic	dynamic	ADJ
admet-2945	100	15	conformational	conformational	ADJ
admet-2945	100	16	changes	change	NOUN
admet-2945	100	17	,	,	PUNCT
admet-2945	100	18	many	many	ADJ
admet-2945	100	19	of	of	ADP
admet-2945	100	20	which	which	PRON
admet-2945	100	21	are	be	AUX
admet-2945	100	22	not	not	PART
admet-2945	100	23	fully	fully	ADV
admet-2945	100	24	captured	capture	VERB
admet-2945	100	25	by	by	ADP
admet-2945	100	26	the	the	DET
admet-2945	100	27	selected	select	VERB
admet-2945	100	28	molecular	molecular	ADJ
admet-2945	100	29	descriptors	descriptor	NOUN
admet-2945	100	30	.	.	PUNCT
admet-2945	101	1	this	this	DET
admet-2945	101	2	limitation	limitation	NOUN
admet-2945	101	3	suggests	suggest	VERB
admet-2945	101	4	that	that	SCONJ
admet-2945	101	5	improving	improve	VERB
admet-2945	101	6	solubility	solubility	NOUN
admet-2945	101	7	prediction	prediction	NOUN
admet-2945	101	8	models	model	NOUN
admet-2945	101	9	may	may	AUX
admet-2945	101	10	require	require	VERB
admet-2945	101	11	the	the	DET
admet-2945	101	12	incorporation	incorporation	NOUN
admet-2945	101	13	of	of	ADP
admet-2945	101	14	additional	additional	ADJ
admet-2945	101	15	descriptors	descriptor	NOUN
admet-2945	101	16	or	or	CCONJ
admet-2945	101	17	alternative	alternative	ADJ
admet-2945	101	18	data	datum	NOUN
admet-2945	101	19	sources	source	NOUN
admet-2945	101	20	that	that	PRON
admet-2945	101	21	better	well	ADV
admet-2945	101	22	represent	represent	VERB
admet-2945	101	23	these	these	DET
admet-2945	101	24	complex	complex	ADJ
admet-2945	101	25	influences	influence	NOUN
admet-2945	101	26	.	.	PUNCT
admet-2945	102	1	for	for	ADP
admet-2945	102	2	instance	instance	NOUN
admet-2945	102	3	,	,	PUNCT
admet-2945	102	4	integrating	integrate	VERB
admet-2945	102	5	descriptors	descriptor	NOUN
admet-2945	102	6	related	relate	VERB
admet-2945	102	7	to	to	ADP
admet-2945	102	8	crystal	crystal	PROPN
admet-2945	102	9	lattice	lattice	PROPN
admet-2945	102	10	energy	energy	NOUN
admet-2945	102	11	,	,	PUNCT
admet-2945	102	12	hydration	hydration	NOUN
admet-2945	102	13	shell	shell	NOUN
admet-2945	102	14	characteristics	characteristic	NOUN
admet-2945	102	15	,	,	PUNCT
admet-2945	102	16	or	or	CCONJ
admet-2945	102	17	employing	employ	VERB
admet-2945	102	18	three	three	NUM
admet-2945	102	19	-	-	PUNCT
admet-2945	102	20	dimensional	dimensional	ADJ
admet-2945	102	21	molecular	molecular	ADJ
admet-2945	102	22	descriptors	descriptor	NOUN
admet-2945	102	23	could	could	AUX
admet-2945	102	24	enhance	enhance	VERB
admet-2945	102	25	model	model	NOUN
admet-2945	102	26	performance	performance	NOUN
admet-2945	102	27	.	.	PUNCT
admet-2945	103	1	conclusions	conclusion	NOUN
admet-2945	103	2	predictive	predictive	ADJ
admet-2945	103	3	models	model	NOUN
admet-2945	103	4	based	base	VERB
admet-2945	103	5	on	on	ADP
admet-2945	103	6	a	a	DET
admet-2945	103	7	probabilistic	probabilistic	ADJ
admet-2945	103	8	neural	neural	ADJ
admet-2945	103	9	network	network	NOUN
admet-2945	103	10	were	be	AUX
admet-2945	103	11	successfully	successfully	ADV
admet-2945	103	12	developed	develop	VERB
admet-2945	103	13	for	for	ADP
admet-2945	103	14	the	the	DET
admet-2945	103	15	classification	classification	NOUN
admet-2945	103	16	of	of	ADP
admet-2945	103	17	tablet	tablet	ADJ
admet-2945	103	18	-	-	PUNCT
admet-2945	103	19	form	form	NOUN
admet-2945	103	20	drugs	drug	NOUN
admet-2945	103	21	according	accord	VERB
admet-2945	103	22	to	to	ADP
admet-2945	103	23	their	their	PRON
admet-2945	103	24	metabolism	metabolism	NOUN
admet-2945	103	25	and	and	CCONJ
admet-2945	103	26	solubility	solubility	NOUN
admet-2945	103	27	profiles	profile	NOUN
admet-2945	103	28	within	within	ADP
admet-2945	103	29	the	the	DET
admet-2945	103	30	framework	framework	NOUN
admet-2945	103	31	of	of	ADP
admet-2945	103	32	the	the	DET
admet-2945	103	33	biopharmaceutical	biopharmaceutical	ADJ
admet-2945	103	34	drug	drug	NOUN
admet-2945	103	35	disposition	disposition	NOUN
admet-2945	103	36	classification	classification	NOUN
admet-2945	103	37	system	system	NOUN
admet-2945	103	38	.	.	PUNCT
admet-2945	104	1	the	the	DET
admet-2945	104	2	probabilistic	probabilistic	ADJ
admet-2945	104	3	neural	neural	ADJ
admet-2945	104	4	network	network	NOUN
admet-2945	104	5	was	be	AUX
admet-2945	104	6	evaluated	evaluate	VERB
admet-2945	104	7	across	across	ADP
admet-2945	104	8	a	a	DET
admet-2945	104	9	range	range	NOUN
admet-2945	104	10	of	of	ADP
admet-2945	104	11	spread	spread	ADJ
admet-2945	104	12	values	value	NOUN
admet-2945	104	13	from	from	ADP
admet-2945	104	14	0.1	0.1	NUM
admet-2945	104	15	to	to	ADP
admet-2945	104	16	1.0	1.0	NUM
admet-2945	104	17	.	.	PUNCT
admet-2945	105	1	for	for	ADP
admet-2945	105	2	metabolism	metabolism	NOUN
admet-2945	105	3	classification	classification	NOUN
admet-2945	105	4	,	,	PUNCT
admet-2945	105	5	the	the	DET
admet-2945	105	6	lowest	low	ADJ
admet-2945	105	7	proportion	proportion	NOUN
admet-2945	105	8	of	of	ADP
admet-2945	105	9	misclassified	misclassified	ADJ
admet-2945	105	10	drugs	drug	NOUN
admet-2945	105	11	occurred	occur	VERB
admet-2945	105	12	at	at	ADP
admet-2945	105	13	spread	spread	ADJ
admet-2945	105	14	values	value	NOUN
admet-2945	105	15	between	between	ADP
admet-2945	105	16	0.8	0.8	NUM
admet-2945	105	17	and	and	CCONJ
admet-2945	105	18	1.0	1.0	NUM
admet-2945	105	19	,	,	PUNCT
admet-2945	105	20	while	while	SCONJ
admet-2945	105	21	for	for	ADP
admet-2945	105	22	solubility	solubility	NOUN
admet-2945	105	23	classification	classification	NOUN
admet-2945	105	24	,	,	PUNCT
admet-2945	105	25	this	this	DET
admet-2945	105	26	range	range	NOUN
admet-2945	105	27	was	be	AUX
admet-2945	105	28	slightly	slightly	ADV
admet-2945	105	29	broader	broad	ADJ
admet-2945	105	30	,	,	PUNCT
admet-2945	105	31	from	from	ADP
admet-2945	105	32	0.7	0.7	NUM
admet-2945	105	33	to	to	PART
admet-2945	105	34	1.0	1.0	NUM
admet-2945	105	35	.	.	PUNCT
admet-2945	106	1	in	in	ADP
admet-2945	106	2	metabolism	metabolism	NOUN
admet-2945	106	3	prediction	prediction	NOUN
admet-2945	106	4	(	(	PUNCT
admet-2945	106	5	extensive	extensive	ADJ
admet-2945	106	6	vs.	vs.	X
admet-2945	106	7	poor	poor	ADJ
admet-2945	106	8	)	)	PUNCT
admet-2945	106	9	,	,	PUNCT
admet-2945	106	10	six	six	NUM
admet-2945	106	11	key	key	ADJ
admet-2945	106	12	molecular	molecular	ADJ
admet-2945	106	13	descriptors	descriptor	NOUN
admet-2945	106	14	‒	‒	ADP
admet-2945	106	15	hydrogen	hydrogen	NOUN
admet-2945	106	16	bond	bond	NOUN
admet-2945	106	17	acidity	acidity	NOUN
admet-2945	106	18	,	,	PUNCT
admet-2945	106	19	logarithm	logarithm	NOUN
admet-2945	106	20	of	of	ADP
admet-2945	106	21	the	the	DET
admet-2945	106	22	partition	partition	NOUN
admet-2945	106	23	coefficient	coefficient	NOUN
admet-2945	106	24	,	,	PUNCT
admet-2945	106	25	distribution	distribution	NOUN
admet-2945	106	26	coefficient	coefficient	NOUN
admet-2945	106	27	,	,	PUNCT
admet-2945	106	28	hydrogen	hydrogen	NOUN
admet-2945	106	29	bond	bond	NOUN
admet-2945	106	30	acceptor	acceptor	NOUN
admet-2945	106	31	count	count	NOUN
admet-2945	106	32	,	,	PUNCT
admet-2945	106	33	molecular	molecular	ADJ
admet-2945	106	34	weight	weight	NOUN
admet-2945	106	35	and	and	CCONJ
admet-2945	106	36	polar	polar	ADJ
admet-2945	106	37	surface	surface	NOUN
admet-2945	106	38	area	area	NOUN
admet-2945	106	39	‒	‒	PRON
admet-2945	106	40	were	be	AUX
admet-2945	106	41	identified	identify	VERB
admet-2945	106	42	,	,	PUNCT
admet-2945	106	43	yielding	yield	VERB
admet-2945	106	44	a	a	DET
admet-2945	106	45	prediction	prediction	NOUN
admet-2945	106	46	accuracy	accuracy	NOUN
admet-2945	106	47	of	of	ADP
admet-2945	106	48	97	97	NUM
admet-2945	106	49	%	%	NOUN
admet-2945	106	50	.	.	PUNCT
admet-2945	107	1	in	in	ADP
admet-2945	107	2	solubility	solubility	NOUN
admet-2945	107	3	classification	classification	NOUN
admet-2945	107	4	(	(	PUNCT
admet-2945	107	5	high	high	ADJ
admet-2945	107	6	vs.	vs.	X
admet-2945	107	7	low	low	ADJ
admet-2945	107	8	)	)	PUNCT
admet-2945	107	9	,	,	PUNCT
admet-2945	107	10	five	five	NUM
admet-2945	107	11	molecular	molecular	ADJ
admet-2945	107	12	descriptors	descriptor	NOUN
admet-2945	107	13	‒	‒	ADP
admet-2945	107	14	dipolarity	dipolarity	NOUN
admet-2945	107	15	/	/	SYM
admet-2945	107	16	polarizability	polarizability	NOUN
admet-2945	107	17	,	,	PUNCT
admet-2945	107	18	logarithm	logarithm	NOUN
admet-2945	107	19	of	of	ADP
admet-2945	107	20	the	the	DET
admet-2945	107	21	partition	partition	NOUN
admet-2945	107	22	coefficient	coefficient	NOUN
admet-2945	107	23	,	,	PUNCT
admet-2945	107	24	distribution	distribution	NOUN
admet-2945	107	25	coefficient	coefficient	NOUN
admet-2945	107	26	,	,	PUNCT
admet-2945	107	27	hydrogen	hydrogen	NOUN
admet-2945	107	28	bond	bond	NOUN
admet-2945	107	29	donor	donor	NOUN
admet-2945	107	30	count	count	NOUN
admet-2945	107	31	and	and	CCONJ
admet-2945	107	32	molecular	molecular	ADJ
admet-2945	107	33	weight	weight	NOUN
admet-2945	107	34	‒	‒	NOUN
admet-2945	107	35	were	be	AUX
admet-2945	107	36	applied	apply	VERB
admet-2945	107	37	,	,	PUNCT
admet-2945	107	38	achieving	achieve	VERB
admet-2945	107	39	an	an	DET
admet-2945	107	40	accuracy	accuracy	NOUN
admet-2945	107	41	of	of	ADP
admet-2945	107	42	88	88	NUM
admet-2945	107	43	%	%	NOUN
admet-2945	107	44	.	.	PUNCT
admet-2945	108	1	the	the	DET
admet-2945	108	2	lower	low	ADJ
admet-2945	108	3	accuracy	accuracy	NOUN
admet-2945	108	4	for	for	ADP
admet-2945	108	5	solubility	solubility	NOUN
admet-2945	108	6	prediction	prediction	NOUN
admet-2945	108	7	can	can	AUX
admet-2945	108	8	be	be	AUX
admet-2945	108	9	explained	explain	VERB
admet-2945	108	10	by	by	ADP
admet-2945	108	11	the	the	DET
admet-2945	108	12	multifactorial	multifactorial	ADJ
admet-2945	108	13	nature	nature	NOUN
admet-2945	108	14	of	of	ADP
admet-2945	108	15	solubility	solubility	NOUN
admet-2945	108	16	,	,	PUNCT
admet-2945	108	17	which	which	PRON
admet-2945	108	18	depends	depend	VERB
admet-2945	108	19	on	on	ADP
admet-2945	108	20	additional	additional	ADJ
admet-2945	108	21	physicochemical	physicochemical	ADJ
admet-2945	108	22	and	and	CCONJ
admet-2945	108	23	structural	structural	ADJ
admet-2945	108	24	parameters	parameter	NOUN
admet-2945	108	25	not	not	PART
admet-2945	108	26	fully	fully	ADV
admet-2945	108	27	represented	represent	VERB
admet-2945	108	28	by	by	ADP
admet-2945	108	29	the	the	DET
admet-2945	108	30	selected	select	VERB
admet-2945	108	31	descriptors	descriptor	NOUN
admet-2945	108	32	.	.	PUNCT
admet-2945	109	1	the	the	DET
admet-2945	109	2	use	use	NOUN
admet-2945	109	3	of	of	ADP
admet-2945	109	4	probabilistic	probabilistic	ADJ
admet-2945	109	5	neural	neural	ADJ
admet-2945	109	6	network	network	NOUN
admet-2945	109	7	enabled	enable	VERB
admet-2945	109	8	effective	effective	ADJ
admet-2945	109	9	classification	classification	NOUN
admet-2945	109	10	by	by	ADP
admet-2945	109	11	capturing	capture	VERB
admet-2945	109	12	nonlinear	nonlinear	ADJ
admet-2945	109	13	relationships	relationship	NOUN
admet-2945	109	14	between	between	ADP
admet-2945	109	15	molecular	molecular	ADJ
admet-2945	109	16	descriptors	descriptor	NOUN
admet-2945	109	17	and	and	CCONJ
admet-2945	109	18	biopharmaceutical	biopharmaceutical	NOUN
admet-2945	109	19	properties	property	NOUN
admet-2945	109	20	.	.	PUNCT
admet-2945	110	1	the	the	DET
admet-2945	110	2	developed	develop	VERB
admet-2945	110	3	models	model	NOUN
admet-2945	110	4	demonstrate	demonstrate	VERB
admet-2945	110	5	high	high	ADJ
admet-2945	110	6	predictive	predictive	ADJ
admet-2945	110	7	potential	potential	NOUN
admet-2945	110	8	and	and	CCONJ
admet-2945	110	9	may	may	AUX
admet-2945	110	10	serve	serve	VERB
admet-2945	110	11	as	as	ADP
admet-2945	110	12	a	a	DET
admet-2945	110	13	reliable	reliable	ADJ
admet-2945	110	14	tool	tool	NOUN
admet-2945	110	15	for	for	ADP
admet-2945	110	16	early	early	ADJ
admet-2945	110	17	-	-	PUNCT
admet-2945	110	18	stage	stage	NOUN
admet-2945	110	19	drug	drug	NOUN
admet-2945	110	20	screening	screening	NOUN
admet-2945	110	21	,	,	PUNCT
admet-2945	110	22	allowing	allow	VERB
admet-2945	110	23	for	for	ADP
admet-2945	110	24	efficient	efficient	ADJ
admet-2945	110	25	assessment	assessment	NOUN
admet-2945	110	26	of	of	ADP
admet-2945	110	27	metabolism	metabolism	NOUN
admet-2945	110	28	and	and	CCONJ
admet-2945	110	29	solubility	solubility	NOUN
admet-2945	110	30	based	base	VERB
admet-2945	110	31	solely	solely	ADV
admet-2945	110	32	on	on	ADP
admet-2945	110	33	molecular	molecular	ADJ
admet-2945	110	34	structure	structure	NOUN
admet-2945	110	35	.	.	PUNCT
admet-2945	111	1	https://doi.org/10.5599/admet.2945	https://doi.org/10.5599/admet.2945	PROPN
admet-2945	111	2	y.	y.	PROPN
admet-2945	111	3	pushkarova	pushkarova	PROPN
admet-2945	111	4	et	et	PROPN
admet-2945	111	5	al	al	PROPN
admet-2945	111	6	.	.	PROPN
admet-2945	111	7	admet	admet	PROPN
admet-2945	111	8	&	&	CCONJ
admet-2945	111	9	dmpk	dmpk	PROPN
admet-2945	111	10	13(5	13(5	NUM
admet-2945	111	11	)	)	PUNCT
admet-2945	111	12	(	(	PUNCT
admet-2945	111	13	2025	2025	NUM
admet-2945	111	14	)	)	PUNCT
admet-2945	111	15	2822	2822	NUM
admet-2945	111	16	8	8	NUM
admet-2945	111	17	funding	funding	NOUN
admet-2945	111	18	:	:	PUNCT
admet-2945	111	19	none	none	NOUN
admet-2945	111	20	.	.	PUNCT
admet-2945	112	1	conflict	conflict	NOUN
admet-2945	112	2	of	of	ADP
admet-2945	112	3	interest	interest	NOUN
admet-2945	112	4	:	:	PUNCT
admet-2945	112	5	the	the	DET
admet-2945	112	6	authors	author	NOUN
admet-2945	112	7	declare	declare	VERB
admet-2945	112	8	no	no	DET
admet-2945	112	9	conflict	conflict	NOUN
admet-2945	112	10	of	of	ADP
admet-2945	112	11	interest	interest	NOUN
admet-2945	112	12	.	.	PUNCT
admet-2945	113	1	author	author	NOUN
admet-2945	113	2	contribution	contribution	PROPN
admet-2945	113	3	:	:	PUNCT
admet-2945	113	4	all	all	DET
admet-2945	113	5	authors	author	NOUN
admet-2945	113	6	contributed	contribute	VERB
admet-2945	113	7	to	to	ADP
admet-2945	113	8	the	the	DET
admet-2945	113	9	study	study	NOUN
admet-2945	113	10	conception	conception	NOUN
admet-2945	113	11	and	and	CCONJ
admet-2945	113	12	design	design	NOUN
admet-2945	113	13	.	.	PUNCT
admet-2945	114	1	material	material	NOUN
admet-2945	114	2	preparation	preparation	NOUN
admet-2945	114	3	,	,	PUNCT
admet-2945	114	4	data	datum	NOUN
admet-2945	114	5	collection	collection	NOUN
admet-2945	114	6	and	and	CCONJ
admet-2945	114	7	analysis	analysis	NOUN
admet-2945	114	8	were	be	AUX
admet-2945	114	9	performed	perform	VERB
admet-2945	114	10	by	by	ADP
admet-2945	114	11	galina	galina	PROPN
admet-2945	114	12	zaitseva	zaitseva	PROPN
admet-2945	114	13	and	and	CCONJ
admet-2945	114	14	kaouthar	kaouthar	PROPN
admet-2945	114	15	bouaalam	bouaalam	PROPN
admet-2945	114	16	.	.	PUNCT
admet-2945	115	1	yaroslava	yaroslava	PROPN
admet-2945	115	2	pushkarova	pushkarova	PROPN
admet-2945	115	3	supervised	supervise	VERB
admet-2945	115	4	all	all	DET
admet-2945	115	5	phases	phase	NOUN
admet-2945	115	6	of	of	ADP
admet-2945	115	7	the	the	DET
admet-2945	115	8	study	study	NOUN
admet-2945	115	9	,	,	PUNCT
admet-2945	115	10	including	include	VERB
admet-2945	115	11	manuscript	manuscript	NOUN
admet-2945	115	12	writing	writing	NOUN
admet-2945	115	13	.	.	PUNCT
admet-2945	116	1	all	all	DET
admet-2945	116	2	authors	author	NOUN
admet-2945	116	3	read	read	VERB
admet-2945	116	4	and	and	CCONJ
admet-2945	116	5	approved	approve	VERB
admet-2945	116	6	the	the	DET
admet-2945	116	7	final	final	ADJ
admet-2945	116	8	manuscript	manuscript	NOUN
admet-2945	116	9	.	.	PUNCT
admet-2945	117	1	references	reference	NOUN
admet-2945	117	2	[	[	X
admet-2945	117	3	1	1	NUM
admet-2945	117	4	]	]	X
admet-2945	117	5	l.z	l.z	PROPN
admet-2945	117	6	.	.	PROPN
admet-2945	117	7	benet	benet	PROPN
admet-2945	117	8	.	.	PUNCT
admet-2945	118	1	the	the	DET
admet-2945	118	2	role	role	NOUN
admet-2945	118	3	of	of	ADP
admet-2945	118	4	bcs	bcs	NOUN
admet-2945	118	5	(	(	PUNCT
admet-2945	118	6	biopharmaceutics	biopharmaceutics	NOUN
admet-2945	118	7	classification	classification	NOUN
admet-2945	118	8	system	system	NOUN
admet-2945	118	9	)	)	PUNCT
admet-2945	118	10	and	and	CCONJ
admet-2945	118	11	bddcs	bddcs	PROPN
admet-2945	118	12	(	(	PUNCT
admet-2945	118	13	biopharmaceutics	biopharmaceutics	NOUN
admet-2945	118	14	drug	drug	NOUN
admet-2945	118	15	disposition	disposition	NOUN
admet-2945	118	16	classification	classification	NOUN
admet-2945	118	17	system	system	NOUN
admet-2945	118	18	)	)	PUNCT
admet-2945	118	19	in	in	ADP
admet-2945	118	20	drug	drug	NOUN
admet-2945	118	21	development	development	NOUN
admet-2945	118	22	.	.	PUNCT
admet-2945	119	1	journal	journal	PROPN
admet-2945	119	2	of	of	ADP
admet-2945	119	3	pharmaceutical	pharmaceutical	PROPN
admet-2945	119	4	sciences	science	NOUN
admet-2945	119	5	102	102	NUM
admet-2945	119	6	(	(	PUNCT
admet-2945	119	7	2013	2013	NUM
admet-2945	119	8	)	)	PUNCT
admet-2945	119	9	34	34	NUM
admet-2945	119	10	-	-	SYM
admet-2945	119	11	42	42	NUM
admet-2945	119	12	.	.	PUNCT
admet-2945	120	1	https://doi.org/10.1002/jps.23359	https://doi.org/10.1002/jps.23359	PROPN
admet-2945	121	1	[	[	X
admet-2945	121	2	2	2	NUM
admet-2945	121	3	]	]	X
admet-2945	121	4	t.t	t.t	PROPN
admet-2945	121	5	.	.	PROPN
admet-2945	121	6	tran	tran	PROPN
admet-2945	121	7	,	,	PUNCT
admet-2945	121	8	h.	h.	PROPN
admet-2945	121	9	tayara	tayara	PROPN
admet-2945	121	10	,	,	PUNCT
admet-2945	121	11	k.t	k.t	PROPN
admet-2945	121	12	.	.	PROPN
admet-2945	121	13	chong	chong	PROPN
admet-2945	121	14	.	.	PUNCT
admet-2945	122	1	artificial	artificial	ADJ
admet-2945	122	2	intelligence	intelligence	NOUN
admet-2945	122	3	in	in	ADP
admet-2945	122	4	drug	drug	NOUN
admet-2945	122	5	metabolism	metabolism	NOUN
admet-2945	122	6	and	and	CCONJ
admet-2945	122	7	excretion	excretion	NOUN
admet-2945	122	8	prediction	prediction	NOUN
admet-2945	122	9	:	:	PUNCT
admet-2945	122	10	recent	recent	ADJ
admet-2945	122	11	advances	advance	NOUN
admet-2945	122	12	,	,	PUNCT
admet-2945	122	13	challenges	challenge	NOUN
admet-2945	122	14	,	,	PUNCT
admet-2945	122	15	and	and	CCONJ
admet-2945	122	16	future	future	ADJ
admet-2945	122	17	perspectives	perspective	NOUN
admet-2945	122	18	.	.	PUNCT
admet-2945	123	1	pharmaceutics	pharmaceutic	NOUN
admet-2945	123	2	15	15	NUM
admet-2945	123	3	(	(	PUNCT
admet-2945	123	4	2023	2023	NUM
admet-2945	123	5	)	)	PUNCT
admet-2945	123	6	1260	1260	NUM
admet-2945	123	7	.	.	PUNCT
admet-2945	124	1	https://doi.org/10.3390/pharmaceutics15041260	https://doi.org/10.3390/pharmaceutics15041260	PROPN
admet-2945	125	1	[	[	X
admet-2945	125	2	3	3	NUM
admet-2945	125	3	]	]	X
admet-2945	125	4	c.a	c.a	PROPN
admet-2945	125	5	.	.	PROPN
admet-2945	125	6	bergström	bergström	PROPN
admet-2945	125	7	,	,	PUNCT
admet-2945	125	8	p.	p.	NOUN
admet-2945	125	9	larsson	larsson	PROPN
admet-2945	125	10	.	.	PUNCT
admet-2945	126	1	computational	computational	ADJ
admet-2945	126	2	prediction	prediction	NOUN
admet-2945	126	3	of	of	ADP
admet-2945	126	4	drug	drug	NOUN
admet-2945	126	5	solubility	solubility	NOUN
admet-2945	126	6	in	in	ADP
admet-2945	126	7	water	water	NOUN
admet-2945	126	8	-	-	PUNCT
admet-2945	126	9	based	base	VERB
admet-2945	126	10	systems	system	NOUN
admet-2945	126	11	:	:	PUNCT
admet-2945	126	12	qualitative	qualitative	ADJ
admet-2945	126	13	and	and	CCONJ
admet-2945	126	14	quantitative	quantitative	ADJ
admet-2945	126	15	approaches	approach	NOUN
admet-2945	126	16	used	use	VERB
admet-2945	126	17	in	in	ADP
admet-2945	126	18	the	the	DET
admet-2945	126	19	current	current	ADJ
admet-2945	126	20	drug	drug	NOUN
admet-2945	126	21	discovery	discovery	NOUN
admet-2945	126	22	and	and	CCONJ
admet-2945	126	23	development	development	NOUN
admet-2945	126	24	setting	setting	NOUN
admet-2945	126	25	.	.	PUNCT
admet-2945	127	1	international	international	ADJ
admet-2945	127	2	journal	journal	PROPN
admet-2945	127	3	of	of	ADP
admet-2945	127	4	pharmaceutics	pharmaceutic	NOUN
admet-2945	127	5	540	540	NUM
admet-2945	127	6	(	(	PUNCT
admet-2945	127	7	2018	2018	NUM
admet-2945	127	8	)	)	PUNCT
admet-2945	127	9	185	185	NUM
admet-2945	127	10	-	-	SYM
admet-2945	127	11	193	193	NUM
admet-2945	127	12	.	.	PUNCT
admet-2945	128	1	https://doi.org/10.1016/j.ijpharm.2018.01.044	https://doi.org/10.1016/j.ijpharm.2018.01.044	X
admet-2945	129	1	[	[	X
admet-2945	129	2	4	4	NUM
admet-2945	129	3	]	]	X
admet-2945	129	4	c.y	c.y	PROPN
admet-2945	129	5	.	.	PROPN
admet-2945	129	6	wu	wu	PROPN
admet-2945	129	7	,	,	PUNCT
admet-2945	129	8	l.z	l.z	PROPN
admet-2945	129	9	.	.	PROPN
admet-2945	129	10	benet	benet	PROPN
admet-2945	129	11	.	.	PUNCT
admet-2945	130	1	predicting	predict	VERB
admet-2945	130	2	drug	drug	NOUN
admet-2945	130	3	disposition	disposition	NOUN
admet-2945	130	4	via	via	ADP
admet-2945	130	5	application	application	NOUN
admet-2945	130	6	of	of	ADP
admet-2945	130	7	bddcs	bddcs	NOUN
admet-2945	130	8	:	:	PUNCT
admet-2945	130	9	the	the	DET
admet-2945	130	10	biopharmaceutics	biopharmaceutics	NOUN
admet-2945	130	11	drug	drug	NOUN
admet-2945	130	12	disposition	disposition	NOUN
admet-2945	130	13	classification	classification	NOUN
admet-2945	130	14	system	system	NOUN
admet-2945	130	15	.	.	PUNCT
admet-2945	131	1	pharmaceutical	pharmaceutical	PROPN
admet-2945	131	2	sciences	sciences	PROPN
admet-2945	131	3	22	22	NUM
admet-2945	131	4	(	(	PUNCT
admet-2945	131	5	2005	2005	NUM
admet-2945	131	6	)	)	PUNCT
admet-2945	131	7	11	11	NUM
admet-2945	131	8	-	-	SYM
admet-2945	131	9	23	23	NUM
admet-2945	131	10	.	.	PUNCT
admet-2945	132	1	https://doi.org/10.1007/s11095-004-9004-4	https://doi.org/10.1007/s11095-004-9004-4	NOUN
admet-2945	133	1	[	[	X
admet-2945	133	2	5	5	NUM
admet-2945	133	3	]	]	PUNCT
admet-2945	133	4	a.	a.	NOUN
admet-2945	133	5	charalabidis	charalabidis	PROPN
admet-2945	133	6	,	,	PUNCT
admet-2945	133	7	m.	m.	NOUN
admet-2945	133	8	sfouni	sfouni	PROPN
admet-2945	133	9	,	,	PUNCT
admet-2945	133	10	c.	c.	PROPN
admet-2945	133	11	bergström	bergström	PROPN
admet-2945	133	12	,	,	PUNCT
admet-2945	133	13	p.	p.	PROPN
admet-2945	133	14	macheras	macheras	PROPN
admet-2945	133	15	.	.	PUNCT
admet-2945	134	1	the	the	DET
admet-2945	134	2	biopharmaceutics	biopharmaceutics	NOUN
admet-2945	134	3	classification	classification	NOUN
admet-2945	134	4	system	system	NOUN
admet-2945	134	5	(	(	PUNCT
admet-2945	134	6	bcs	bcs	NOUN
admet-2945	134	7	)	)	PUNCT
admet-2945	134	8	and	and	CCONJ
admet-2945	134	9	the	the	DET
admet-2945	134	10	biopharmaceutics	biopharmaceutics	NOUN
admet-2945	134	11	drug	drug	NOUN
admet-2945	134	12	disposition	disposition	NOUN
admet-2945	134	13	classification	classification	NOUN
admet-2945	134	14	system	system	NOUN
admet-2945	134	15	(	(	PUNCT
admet-2945	134	16	bddcs	bddcs	PROPN
admet-2945	134	17	):	):	PUNCT
admet-2945	134	18	beyond	beyond	ADP
admet-2945	134	19	guidelines	guideline	NOUN
admet-2945	134	20	.	.	PUNCT
admet-2945	135	1	international	international	ADJ
admet-2945	135	2	journal	journal	PROPN
admet-2945	135	3	of	of	ADP
admet-2945	135	4	pharmaceutics	pharmaceutic	NOUN
admet-2945	135	5	566	566	NUM
admet-2945	135	6	(	(	PUNCT
admet-2945	135	7	2019	2019	NUM
admet-2945	135	8	)	)	PUNCT
admet-2945	135	9	264	264	NUM
admet-2945	135	10	-	-	SYM
admet-2945	135	11	281	281	NUM
admet-2945	135	12	.	.	PUNCT
admet-2945	136	1	https://doi.org/10.1016/j.ijpharm.2019.05.04	https://doi.org/10.1016/j.ijpharm.2019.05.04	PROPN
admet-2945	136	2	[	[	X
admet-2945	136	3	6	6	NUM
admet-2945	136	4	]	]	SYM
admet-2945	136	5	c.m	c.m	PROPN
admet-2945	136	6	.	.	PROPN
admet-2945	136	7	bowman	bowman	PROPN
admet-2945	136	8	,	,	PUNCT
admet-2945	136	9	l.z	l.z	PROPN
admet-2945	136	10	.	.	PROPN
admet-2945	136	11	benet	benet	PROPN
admet-2945	136	12	.	.	PUNCT
admet-2945	137	1	hepatic	hepatic	ADJ
admet-2945	137	2	clearance	clearance	NOUN
admet-2945	137	3	predictions	prediction	NOUN
admet-2945	137	4	from	from	ADP
admet-2945	137	5	in	in	ADP
admet-2945	137	6	vitro	vitro	X
admet-2945	137	7	–	–	PUNCT
admet-2945	137	8	in	in	ADP
admet-2945	137	9	vivo	vivo	ADJ
admet-2945	137	10	extrapolation	extrapolation	NOUN
admet-2945	137	11	and	and	CCONJ
admet-2945	137	12	the	the	DET
admet-2945	137	13	biopharmaceutics	biopharmaceutics	NOUN
admet-2945	137	14	drug	drug	NOUN
admet-2945	137	15	disposition	disposition	NOUN
admet-2945	137	16	classification	classification	NOUN
admet-2945	137	17	system	system	NOUN
admet-2945	137	18	.	.	PUNCT
admet-2945	138	1	drug	drug	NOUN
admet-2945	138	2	metabolism	metabolism	NOUN
admet-2945	138	3	and	and	CCONJ
admet-2945	138	4	disposition	disposition	NOUN
admet-2945	138	5	44	44	NUM
admet-2945	138	6	(	(	PUNCT
admet-2945	138	7	2016	2016	NUM
admet-2945	138	8	)	)	PUNCT
admet-2945	138	9	1731	1731	NUM
admet-2945	138	10	-	-	SYM
admet-2945	138	11	1735	1735	NUM
admet-2945	138	12	.	.	PUNCT
admet-2945	139	1	https://doi.org/10.1124/dmd.116.071514	https://doi.org/10.1124/dmd.116.071514	NOUN
admet-2945	139	2	[	[	X
admet-2945	139	3	7	7	NUM
admet-2945	139	4	]	]	X
admet-2945	139	5	r.	r.	PROPN
admet-2945	139	6	cristofoletti	cristofoletti	PROPN
admet-2945	139	7	,	,	PUNCT
admet-2945	139	8	c.	c.	NOUN
admet-2945	139	9	chiann	chiann	PROPN
admet-2945	139	10	,	,	PUNCT
admet-2945	139	11	j.b	j.b	PROPN
admet-2945	139	12	.	.	PROPN
admet-2945	139	13	dressman	dressman	PROPN
admet-2945	139	14	,	,	PUNCT
admet-2945	139	15	s.	s.	PROPN
admet-2945	139	16	storpirtis	storpirtis	PROPN
admet-2945	139	17	.	.	PUNCT
admet-2945	140	1	a	a	DET
admet-2945	140	2	comparative	comparative	ADJ
admet-2945	140	3	analysis	analysis	NOUN
admet-2945	140	4	of	of	ADP
admet-2945	140	5	biopharmaceutics	biopharmaceutics	NOUN
admet-2945	140	6	classification	classification	NOUN
admet-2945	140	7	system	system	NOUN
admet-2945	140	8	and	and	CCONJ
admet-2945	140	9	biopharmaceutics	biopharmaceutics	NOUN
admet-2945	140	10	drug	drug	NOUN
admet-2945	140	11	disposition	disposition	NOUN
admet-2945	140	12	classification	classification	NOUN
admet-2945	140	13	system	system	NOUN
admet-2945	140	14	:	:	PUNCT
admet-2945	140	15	a	a	DET
admet-2945	140	16	cross	cross	ADJ
admet-2945	140	17	-	-	ADJ
admet-2945	140	18	sectional	sectional	ADJ
admet-2945	140	19	survey	survey	NOUN
admet-2945	140	20	with	with	ADP
admet-2945	140	21	500	500	NUM
admet-2945	140	22	bioequivalence	bioequivalence	NOUN
admet-2945	140	23	studies	study	NOUN
admet-2945	140	24	.	.	PUNCT
admet-2945	141	1	journal	journal	PROPN
admet-2945	141	2	of	of	ADP
admet-2945	141	3	pharmaceutical	pharmaceutical	PROPN
admet-2945	141	4	sciences	science	NOUN
admet-2945	141	5	102	102	NUM
admet-2945	141	6	(	(	PUNCT
admet-2945	141	7	2013	2013	NUM
admet-2945	141	8	)	)	PUNCT
admet-2945	141	9	3136	3136	NUM
admet-2945	141	10	-	-	SYM
admet-2945	141	11	3144	3144	NUM
admet-2945	141	12	.	.	PUNCT
admet-2945	142	1	https://doi.org/10.1002/jps.23515	https://doi.org/10.1002/jps.23515	NOUN
admet-2945	142	2	[	[	PUNCT
admet-2945	142	3	8	8	NUM
admet-2945	142	4	]	]	PUNCT
admet-2945	142	5	a.	a.	NOUN
admet-2945	142	6	ashrafi	ashrafi	PROPN
admet-2945	142	7	,	,	PUNCT
admet-2945	142	8	k.	k.	PROPN
admet-2945	142	9	teimouri	teimouri	PROPN
admet-2945	142	10	,	,	PUNCT
admet-2945	142	11	f.	f.	PROPN
admet-2945	142	12	aghazadeh	aghazadeh	PROPN
admet-2945	142	13	,	,	PUNCT
admet-2945	142	14	a.	a.	PROPN
admet-2945	142	15	shayanfar	shayanfar	PROPN
admet-2945	142	16	.	.	PUNCT
admet-2945	143	1	neural	neural	ADJ
admet-2945	143	2	network	network	NOUN
admet-2945	143	3	models	model	NOUN
admet-2945	143	4	for	for	ADP
admet-2945	143	5	predicting	predict	VERB
admet-2945	143	6	solubility	solubility	NOUN
admet-2945	143	7	and	and	CCONJ
admet-2945	143	8	metabolism	metabolism	NOUN
admet-2945	143	9	class	class	NOUN
admet-2945	143	10	of	of	ADP
admet-2945	143	11	drugs	drug	NOUN
admet-2945	143	12	in	in	ADP
admet-2945	143	13	the	the	DET
admet-2945	143	14	biopharmaceutics	biopharmaceutics	NOUN
admet-2945	143	15	drug	drug	NOUN
admet-2945	143	16	disposition	disposition	NOUN
admet-2945	143	17	classification	classification	NOUN
admet-2945	143	18	system	system	NOUN
admet-2945	143	19	(	(	PUNCT
admet-2945	143	20	bddcs	bddcs	NOUN
admet-2945	143	21	)	)	PUNCT
admet-2945	143	22	.	.	PUNCT
admet-2945	144	1	european	european	PROPN
admet-2945	144	2	journal	journal	PROPN
admet-2945	144	3	of	of	ADP
admet-2945	144	4	drug	drug	NOUN
admet-2945	144	5	metabolism	metabolism	NOUN
admet-2945	144	6	and	and	CCONJ
admet-2945	144	7	pharmacokinetics	pharmacokinetic	NOUN
admet-2945	144	8	49	49	NUM
admet-2945	144	9	(	(	PUNCT
admet-2945	144	10	2024	2024	NUM
admet-2945	144	11	)	)	PUNCT
admet-2945	144	12	1	1	NUM
admet-2945	144	13	-	-	SYM
admet-2945	144	14	6	6	NUM
admet-2945	144	15	.	.	PUNCT
admet-2945	145	1	https://doi.org/10.1007/s13318-023-00861-5	https://doi.org/10.1007/s13318-023-00861-5	X
admet-2945	146	1	[	[	X
admet-2945	146	2	9	9	NUM
admet-2945	146	3	]	]	PUNCT
admet-2945	146	4	e.	e.	PROPN
admet-2945	146	5	ostertagova	ostertagova	PROPN
admet-2945	146	6	,	,	PUNCT
admet-2945	146	7	o.	o.	PROPN
admet-2945	146	8	ostertag	ostertag	PROPN
admet-2945	146	9	,	,	PUNCT
admet-2945	146	10	j.	j.	PROPN
admet-2945	146	11	kováč	kováč	PROPN
admet-2945	146	12	.	.	PUNCT
admet-2945	147	1	methodology	methodology	NOUN
admet-2945	147	2	and	and	CCONJ
admet-2945	147	3	application	application	NOUN
admet-2945	147	4	of	of	ADP
admet-2945	147	5	the	the	DET
admet-2945	147	6	kruskal	kruskal	PROPN
admet-2945	147	7	-	-	PUNCT
admet-2945	147	8	wallis	wallis	PROPN
admet-2945	147	9	test	test	NOUN
admet-2945	147	10	.	.	PUNCT
admet-2945	148	1	applied	apply	VERB
admet-2945	148	2	mechanics	mechanic	NOUN
admet-2945	148	3	and	and	CCONJ
admet-2945	148	4	materials	material	NOUN
admet-2945	148	5	611	611	NUM
admet-2945	148	6	(	(	PUNCT
admet-2945	148	7	2014	2014	NUM
admet-2945	148	8	)	)	PUNCT
admet-2945	148	9	115	115	NUM
admet-2945	148	10	-	-	SYM
admet-2945	148	11	120	120	NUM
admet-2945	148	12	.	.	PUNCT
admet-2945	149	1	https://doi.org/10.4028/www.scientific.net/amm.611.115	https://doi.org/10.4028/www.scientific.net/amm.611.115	PROPN
admet-2945	150	1	[	[	X
admet-2945	150	2	10	10	NUM
admet-2945	150	3	]	]	X
admet-2945	150	4	t.v	t.v	PROPN
admet-2945	150	5	.	.	PROPN
admet-2945	150	6	hecke	hecke	PROPN
admet-2945	150	7	.	.	PUNCT
admet-2945	151	1	power	power	NOUN
admet-2945	151	2	study	study	NOUN
admet-2945	151	3	of	of	ADP
admet-2945	151	4	anova	anova	PROPN
admet-2945	151	5	versus	versus	ADP
admet-2945	151	6	kruskal	kruskal	PROPN
admet-2945	151	7	-	-	PUNCT
admet-2945	151	8	wallis	wallis	PROPN
admet-2945	151	9	test	test	NOUN
admet-2945	151	10	.	.	PUNCT
admet-2945	152	1	journal	journal	PROPN
admet-2945	152	2	of	of	ADP
admet-2945	152	3	statistics	statistic	NOUN
admet-2945	152	4	and	and	CCONJ
admet-2945	152	5	management	management	NOUN
admet-2945	152	6	systems	system	NOUN
admet-2945	152	7	15	15	NUM
admet-2945	152	8	(	(	PUNCT
admet-2945	152	9	2012	2012	NUM
admet-2945	152	10	)	)	PUNCT
admet-2945	152	11	241	241	NUM
admet-2945	152	12	-	-	SYM
admet-2945	152	13	247	247	NUM
admet-2945	152	14	.	.	PUNCT
admet-2945	152	15	https://doi.org/10.1080/09720510.2012.10701623	https://doi.org/10.1080/09720510.2012.10701623	PUNCT
admet-2945	153	1	[	[	X
admet-2945	153	2	11	11	NUM
admet-2945	153	3	]	]	X
admet-2945	153	4	n.m	n.m	PROPN
admet-2945	153	5	.	.	PROPN
admet-2945	153	6	razali	razali	PROPN
admet-2945	153	7	,	,	PUNCT
admet-2945	153	8	y.b	y.b	PROPN
admet-2945	153	9	.	.	PROPN
admet-2945	153	10	wah	wah	PROPN
admet-2945	153	11	.	.	PUNCT
admet-2945	153	12	power	power	NOUN
admet-2945	153	13	comparisons	comparison	NOUN
admet-2945	153	14	of	of	ADP
admet-2945	153	15	shapiro	shapiro	NOUN
admet-2945	153	16	-	-	PUNCT
admet-2945	153	17	wilk	wilk	PROPN
admet-2945	153	18	,	,	PUNCT
admet-2945	153	19	kolmogorov	kolmogorov	PROPN
admet-2945	153	20	-	-	PUNCT
admet-2945	153	21	smirnov	smirnov	NOUN
admet-2945	153	22	,	,	PUNCT
admet-2945	153	23	lilliefors	lilliefor	NOUN
admet-2945	153	24	and	and	CCONJ
admet-2945	153	25	anderson	anderson	PROPN
admet-2945	153	26	-	-	PUNCT
admet-2945	153	27	darling	darling	NOUN
admet-2945	153	28	tests	test	NOUN
admet-2945	153	29	.	.	PUNCT
admet-2945	154	1	journal	journal	NOUN
admet-2945	154	2	of	of	ADP
admet-2945	154	3	statistical	statistical	ADJ
admet-2945	154	4	modeling	modeling	NOUN
admet-2945	154	5	and	and	CCONJ
admet-2945	154	6	analytics	analytic	NOUN
admet-2945	154	7	2	2	NUM
admet-2945	154	8	(	(	PUNCT
admet-2945	154	9	2011	2011	NUM
admet-2945	154	10	)	)	PUNCT
admet-2945	154	11	21	21	NUM
admet-2945	154	12	.	.	PUNCT
admet-2945	155	1	https://www.nbi.dk/~petersen/teaching/stat2017/power_comparisons_of_shapirowilk_kolmogorov-smirn.pdf	https://www.nbi.dk/~petersen/teaching/stat2017/power_comparisons_of_shapirowilk_kolmogorov-smirn.pdf	NOUN
admet-2945	156	1	[	[	X
admet-2945	156	2	12	12	NUM
admet-2945	156	3	]	]	X
admet-2945	156	4	u.	u.	NOUN
admet-2945	156	5	michelucci	michelucci	PROPN
admet-2945	156	6	.	.	PUNCT
admet-2945	157	1	skewness	skewness	NOUN
admet-2945	157	2	,	,	PUNCT
admet-2945	157	3	kurtosis	kurtosis	NOUN
admet-2945	157	4	,	,	PUNCT
admet-2945	157	5	and	and	CCONJ
admet-2945	157	6	modality	modality	NOUN
admet-2945	157	7	.	.	PUNCT
admet-2945	158	1	in	in	ADP
admet-2945	158	2	statistics	statistic	NOUN
admet-2945	158	3	for	for	ADP
admet-2945	158	4	scientists	scientist	NOUN
admet-2945	158	5	:	:	PUNCT
admet-2945	158	6	a	a	DET
admet-2945	158	7	concise	concise	ADJ
admet-2945	158	8	guide	guide	NOUN
admet-2945	158	9	for	for	ADP
admet-2945	158	10	datadriven	datadriven	ADJ
admet-2945	158	11	research	research	NOUN
admet-2945	158	12	,	,	PUNCT
admet-2945	158	13	cham	cham	PROPN
admet-2945	158	14	:	:	PUNCT
admet-2945	158	15	springer	springer	NOUN
admet-2945	158	16	nature	nature	PROPN
admet-2945	158	17	,	,	PUNCT
admet-2945	158	18	switzerland	switzerland	PROPN
admet-2945	158	19	,	,	PUNCT
admet-2945	158	20	2025	2025	NUM
admet-2945	158	21	,	,	PUNCT
admet-2945	158	22	p.	p.	NOUN
admet-2945	158	23	95	95	NUM
admet-2945	158	24	-	-	SYM
admet-2945	158	25	108	108	NUM
admet-2945	158	26	.	.	PUNCT
admet-2945	159	1	https://doi.org/10.1007/9783-031-78147-6_9	https://doi.org/10.1007/9783-031-78147-6_9	NOUN
admet-2945	160	1	[	[	X
admet-2945	160	2	13	13	NUM
admet-2945	160	3	]	]	X
admet-2945	160	4	d.f	d.f	PROPN
admet-2945	160	5	.	.	PROPN
admet-2945	160	6	specht	specht	PROPN
admet-2945	160	7	.	.	PUNCT
admet-2945	161	1	probabilistic	probabilistic	ADJ
admet-2945	161	2	neural	neural	ADJ
admet-2945	161	3	networks	network	NOUN
admet-2945	161	4	.	.	PUNCT
admet-2945	162	1	neural	neural	ADJ
admet-2945	162	2	networks	network	NOUN
admet-2945	162	3	3	3	NUM
admet-2945	162	4	(	(	PUNCT
admet-2945	162	5	1990	1990	NUM
admet-2945	162	6	)	)	PUNCT
admet-2945	162	7	109	109	NUM
admet-2945	162	8	-	-	SYM
admet-2945	162	9	118	118	NUM
admet-2945	162	10	.	.	PUNCT
admet-2945	163	1	https://doi.org/10.1016/0893-6080(90)90049-q	https://doi.org/10.1016/0893-6080(90)90049-q	PROPN
admet-2945	163	2	https://doi.org/10.1002/jps.23359	https://doi.org/10.1002/jps.23359	PROPN
admet-2945	163	3	https://doi.org/10.3390/pharmaceutics15041260	https://doi.org/10.3390/pharmaceutics15041260	PROPN
admet-2945	163	4	https://doi.org/10.1016/j.ijpharm.2018.01.044	https://doi.org/10.1016/j.ijpharm.2018.01.044	PROPN
admet-2945	163	5	https://doi.org/10.1007/s11095-004-9004-4	https://doi.org/10.1007/s11095-004-9004-4	PROPN
admet-2945	163	6	https://doi.org/10.1016/j.ijpharm.2019.05.041	https://doi.org/10.1016/j.ijpharm.2019.05.041	PROPN
admet-2945	163	7	https://doi.org/10.1124/dmd.116.071514	https://doi.org/10.1124/dmd.116.071514	NOUN
admet-2945	163	8	https://doi.org/10.1002/jps.23515	https://doi.org/10.1002/jps.23515	NOUN
admet-2945	163	9	https://doi.org/10.1007/s13318-023-00861-5	https://doi.org/10.1007/s13318-023-00861-5	NUM
admet-2945	163	10	http://dx.doi.org/10.4028/www.scientific.net/amm.611.115	http://dx.doi.org/10.4028/www.scientific.net/amm.611.115	NOUN
admet-2945	163	11	http://dx.doi.org/10.1080/09720510.2012.10701623	http://dx.doi.org/10.1080/09720510.2012.10701623	PRON
admet-2945	163	12	https://www.nbi.dk/~petersen/teaching/stat2017/power_comparisons_of_shapiro-wilk_kolmogorov-smirn.pdf	https://www.nbi.dk/~petersen/teaching/stat2017/power_comparisons_of_shapiro-wilk_kolmogorov-smirn.pdf	VERB
admet-2945	163	13	https://www.nbi.dk/~petersen/teaching/stat2017/power_comparisons_of_shapiro-wilk_kolmogorov-smirn.pdf	https://www.nbi.dk/~petersen/teaching/stat2017/power_comparisons_of_shapiro-wilk_kolmogorov-smirn.pdf	PROPN
admet-2945	163	14	https://doi.org/10.1007/978-3-031-78147-6_9	https://doi.org/10.1007/978-3-031-78147-6_9	INTJ
admet-2945	163	15	https://doi.org/10.1007/978-3-031-78147-6_9	https://doi.org/10.1007/978-3-031-78147-6_9	PRON
admet-2945	164	1	https://doi.org/10.1016/0893-6080(90)90049-q	https://doi.org/10.1016/0893-6080(90)90049-q	PROPN
admet-2945	164	2	admet	admet	NOUN
admet-2945	164	3	&	&	CCONJ
admet-2945	164	4	dmpk	dmpk	PROPN
admet-2945	164	5	3(5	3(5	NUM
admet-2945	164	6	)	)	PUNCT
admet-2945	164	7	(	(	PUNCT
admet-2945	164	8	2025	2025	NUM
admet-2945	164	9	)	)	PUNCT
admet-2945	164	10	2822	2822	NUM
admet-2945	164	11	prediction	prediction	NOUN
admet-2945	164	12	of	of	ADP
admet-2945	164	13	metabolism	metabolism	NOUN
admet-2945	164	14	and	and	CCONJ
admet-2945	164	15	solubility	solubility	NOUN
admet-2945	164	16	of	of	ADP
admet-2945	164	17	drugs	drug	NOUN
admet-2945	164	18	according	accord	VERB
admet-2945	164	19	to	to	ADP
admet-2945	164	20	bddcs	bddcs	PROPN
admet-2945	164	21	doi	doi	PROPN
admet-2945	164	22	:	:	PUNCT
admet-2945	164	23	https://doi.org/10.5599/admet.2945	https://doi.org/10.5599/admet.2945	ADJ
admet-2945	164	24	9	9	NUM
admet-2945	164	25	[	[	SYM
admet-2945	164	26	14	14	NUM
admet-2945	164	27	]	]	X
admet-2945	164	28	y.	y.	PROPN
admet-2945	164	29	pushkarova	pushkarova	PROPN
admet-2945	164	30	,	,	PUNCT
admet-2945	164	31	g.	g.	PROPN
admet-2945	164	32	zaitseva	zaitseva	PROPN
admet-2945	164	33	,	,	PUNCT
admet-2945	164	34	a.	a.	PROPN
admet-2945	164	35	kaliuzhenko	kaliuzhenko	PROPN
admet-2945	164	36	.	.	PUNCT
admet-2945	165	1	13th	13th	ADJ
admet-2945	165	2	international	international	ADJ
admet-2945	165	3	conference	conference	NOUN
admet-2945	165	4	on	on	ADP
admet-2945	165	5	advanced	advanced	ADJ
admet-2945	165	6	computer	computer	NOUN
admet-2945	165	7	information	information	NOUN
admet-2945	165	8	technologies	technology	NOUN
admet-2945	165	9	,	,	PUNCT
admet-2945	165	10	classification	classification	NOUN
admet-2945	165	11	of	of	ADP
admet-2945	165	12	residuals	residual	NOUN
admet-2945	165	13	by	by	ADP
admet-2945	165	14	risk	risk	NOUN
admet-2945	165	15	assessment	assessment	NOUN
admet-2945	165	16	using	use	VERB
admet-2945	165	17	chemometric	chemometric	ADJ
admet-2945	165	18	methods	method	NOUN
admet-2945	165	19	,	,	PUNCT
admet-2945	165	20	wrocław	wrocław	X
admet-2945	165	21	,	,	PUNCT
admet-2945	165	22	poland	poland	PROPN
admet-2945	165	23	,	,	PUNCT
admet-2945	165	24	2023	2023	NUM
admet-2945	165	25	,	,	PUNCT
admet-2945	165	26	p.	p.	NOUN
admet-2945	165	27	562	562	NUM
admet-2945	165	28	-	-	SYM
admet-2945	165	29	565	565	NUM
admet-2945	165	30	.	.	PUNCT
admet-2945	166	1	https://doi.org/10.1109/acit58437.2023.10275405	https://doi.org/10.1109/acit58437.2023.10275405	PROPN
admet-2945	167	1	[	[	X
admet-2945	167	2	15	15	NUM
admet-2945	167	3	]	]	X
admet-2945	167	4	j.n	j.n	PROPN
admet-2945	167	5	.	.	PROPN
admet-2945	167	6	miller	miller	PROPN
admet-2945	167	7	,	,	PUNCT
admet-2945	167	8	j.c	j.c	PROPN
admet-2945	167	9	.	.	PROPN
admet-2945	167	10	miller	miller	PROPN
admet-2945	167	11	.	.	PUNCT
admet-2945	168	1	statistics	statistic	NOUN
admet-2945	168	2	and	and	CCONJ
admet-2945	168	3	chemometrics	chemometric	NOUN
admet-2945	168	4	for	for	ADP
admet-2945	168	5	analytical	analytical	ADJ
admet-2945	168	6	chemistry	chemistry	NOUN
admet-2945	168	7	,	,	PUNCT
admet-2945	168	8	pearson	pearson	PROPN
admet-2945	168	9	,	,	PUNCT
admet-2945	168	10	harlow	harlow	PROPN
admet-2945	168	11	,	,	PUNCT
admet-2945	168	12	england	england	PROPN
admet-2945	168	13	,	,	PUNCT
admet-2945	168	14	2010	2010	NUM
admet-2945	168	15	,	,	PUNCT
admet-2945	168	16	p.	p.	NOUN
admet-2945	168	17	268	268	NUM
admet-2945	168	18	.	.	PUNCT
admet-2945	169	1	isbn	isbn	ADJ
admet-2945	169	2	:	:	PUNCT
admet-2945	169	3	978	978	NUM
admet-2945	169	4	-	-	SYM
admet-2945	169	5	0	0	NUM
admet-2945	169	6	-	-	PUNCT
admet-2945	169	7	273	273	NUM
admet-2945	169	8	-	-	PUNCT
admet-2945	169	9	73042	73042	NUM
admet-2945	169	10	-	-	SYM
admet-2945	169	11	2	2	NUM
admet-2945	169	12	©	©	NOUN
admet-2945	169	13	2025	2025	NUM
admet-2945	169	14	by	by	ADP
admet-2945	169	15	the	the	DET
admet-2945	169	16	authors	author	NOUN
admet-2945	169	17	;	;	PUNCT
admet-2945	169	18	licensee	licensee	PROPN
admet-2945	169	19	iapc	iapc	PROPN
admet-2945	169	20	,	,	PUNCT
admet-2945	169	21	zagreb	zagreb	PROPN
admet-2945	169	22	,	,	PUNCT
admet-2945	169	23	croatia	croatia	PROPN
admet-2945	169	24	.	.	PUNCT
admet-2945	170	1	this	this	DET
admet-2945	170	2	article	article	NOUN
admet-2945	170	3	is	be	AUX
admet-2945	170	4	an	an	DET
admet-2945	170	5	open	open	ADJ
admet-2945	170	6	-	-	PUNCT
admet-2945	170	7	access	access	NOUN
admet-2945	170	8	article	article	NOUN
admet-2945	170	9	distributed	distribute	VERB
admet-2945	170	10	under	under	ADP
admet-2945	170	11	the	the	DET
admet-2945	170	12	terms	term	NOUN
admet-2945	170	13	and	and	CCONJ
admet-2945	170	14	conditions	condition	NOUN
admet-2945	170	15	of	of	ADP
admet-2945	170	16	the	the	DET
admet-2945	170	17	creative	creative	ADJ
admet-2945	170	18	commons	common	NOUN
admet-2945	170	19	attribution	attribution	NOUN
admet-2945	170	20	license	license	NOUN
admet-2945	170	21	(	(	PUNCT
admet-2945	170	22	http://creativecommons.org/licenses/by/3.0/	http://creativecommons.org/licenses/by/3.0/	PROPN
admet-2945	170	23	)	)	PUNCT
admet-2945	170	24	https://doi.org/10.5599/admet.2945	https://doi.org/10.5599/admet.2945	VERB
admet-2945	170	25	https://doi.org/10.1109/acit58437.2023.10275405	https://doi.org/10.1109/acit58437.2023.10275405	PROPN
admet-2945	170	26	http://creativecommons.org/licenses/by/3.0/	http://creativecommons.org/licenses/by/3.0/	NOUN