000			01389 a2200373 4500
005			20250516170630.0
264		0	_c20140606
008			201406s 0 0 eng d
022			_a1549-960X
024	7		_a10.1021/ci400240u _2doi
040			_aNLM _beng _cNLM
100	1		_aSugaya, Nobuyoshi
245	0	0	_aTraining based on ligand efficiency improves prediction of bioactivities of ligands and drug target proteins in a machine learning approach. _h[electronic resource]
260			_bJournal of chemical information and modeling _cOct 2013
300			_a2525-37 p. _bdigital
500			_aPublication Type: Journal Article
650	0	4	_aArea Under Curve
650	0	4	_aArtificial Intelligence
650	0	4	_aData Mining
650	0	4	_aDatabases, Chemical
650	0	4	_aDatabases, Pharmaceutical
650	0	4	_aDrug Discovery
650	0	4	_aHumans
650	0	4	_aInhibitory Concentration 50
650	0	4	_aLigands
650	0	4	_aPrincipal Component Analysis
650	0	4	_aProtein Kinases _xchemistry
650	0	4	_aReceptors, G-Protein-Coupled _xagonists
650	0	4	_aSensitivity and Specificity
650	0	4	_aSmall Molecule Libraries _xchemistry
650	0	4	_aSupport Vector Machine
773	0		_tJournal of chemical information and modeling _gvol. 53 _gno. 10 _gp. 2525-37
856	4	0	_uhttps://doi.org/10.1021/ci400240u _zAvailable from publisher's website
999			_c23073579 _d23073579