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
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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 |
推荐引用方式 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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