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Using support vector classification for SAR of fentanyl derivatives
Dong, N[1]; Lu, WC[2]; Chen, NY[3]; Zhu, YC[4]; Chen, KX[5]
刊名ACTA PHARMACOLOGICA SINICA
2005
卷号26页码:107-112
关键词structure-activity relationship support vector machine fentanyl derivatives support vector classification
ISSN号1671-4083
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2400596
专题上海大学
作者单位1.Laboratory of Chemical Data Mining, Department of Chemistry, School of Science, Shanghai University, ShangHai 200436, China
2.Laboratory of Chemical Data Mining, Department of Chemistry, School of Science, Shanghai University, ShangHai 200436, China
3.Laboratory of Chemical Data Mining, Department of Chemistry, School of Science, Shanghai University, ShangHai 201203, China
4.Shanghai Institute of Materia Medica, Chinese Academy of Sciences, ShangHai 201203, China
5.Shanghai Institute of Materia Medica, Chinese Academy of Science, ShangHai 201203, China
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GB/T 7714
Dong, N[1],Lu, WC[2],Chen, NY[3],et al. Using support vector classification for SAR of fentanyl derivatives[J]. ACTA PHARMACOLOGICA SINICA,2005,26:107-112.
APA Dong, N[1],Lu, WC[2],Chen, NY[3],Zhu, YC[4],&Chen, KX[5].(2005).Using support vector classification for SAR of fentanyl derivatives.ACTA PHARMACOLOGICA SINICA,26,107-112.
MLA Dong, N[1],et al."Using support vector classification for SAR of fentanyl derivatives".ACTA PHARMACOLOGICA SINICA 26(2005):107-112.
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