In silico prediction of inhibition activity of pyrazine - Pyridine biheteroaryls as VEGFR-2 inhibitors based on least squares support vector machines

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	In silico prediction of inhibition activity of pyrazine - Pyridine biheteroaryls as VEGFR-2 inhibitors based on least squares support vector machines
刊名	QSAR & COMBINATORIAL SCIENCE
	2008-02
卷号	27 期号:2
关键词	multiple linear regressions least squares support vector machines vascular endothelial growth factor receptor-2 quantitative structure-activity relationship
ISSN号	1611-020X
通讯作者	Li, JZ (reprint author), Lanzhou Univ, Dept Chem, Lanzhou 730000, Peoples R China.
学科主题	Pharmacology & Pharmacy ; Chemistry ; Computer Science
语种	英语
WOS记录号	WOS:000253731900003
内容类型	期刊论文
源URL	[http://202.201.7.4:8080/handle/262010/77695]
专题	化学化工学院_期刊论文
推荐引用方式 GB/T 7714	. In silico prediction of inhibition activity of pyrazine - Pyridine biheteroaryls as VEGFR-2 inhibitors based on least squares support vector machines[J]. QSAR & COMBINATORIAL SCIENCE,2008,27(2).
APA	(2008).In silico prediction of inhibition activity of pyrazine - Pyridine biheteroaryls as VEGFR-2 inhibitors based on least squares support vector machines.QSAR & COMBINATORIAL SCIENCE,27(2).
MLA	"In silico prediction of inhibition activity of pyrazine - Pyridine biheteroaryls as VEGFR-2 inhibitors based on least squares support vector machines".QSAR & COMBINATORIAL SCIENCE 27.2(2008).