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	QSAR models for predicting octanol/water and organic carbon/water partition coefficients of polychlorinated biphenyls
	Yu, S.[1]; Gao, S.[2]; Gan, Y.[3]; Zhang, Y.[4]; Ruan, X.[5]; Wang, Y.[6]; Yang, L.[7]; Shi, J.[8]
刊名	SAR AND QSAR IN ENVIRONMENTAL RESEARCH
	2016
卷号	27期号:4页码:249-263
关键词	Quantitative structure-property relationship polychlorinated biphenyls octanol-water partition coefficient organic carbon-water partition coefficient hologram quantitative structure-activity relationship
ISSN号	1062-936X
DOI	http://dx.doi.org/10.1080/1062936X.2016.1158734
URL标识	查看原文
收录类别	SCI(E) ; PUBMED
WOS记录号	WOS:000375441900001
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5204099
专题	河南大学
作者单位	1.[1]Henan Univ, Key Lab Nat Med & Immune Engn Henan Prov, Kaifeng, Peoples R China. 2.[2]Henan Univ, Key Lab Nat Med & Immune Engn Henan Prov, Kaifeng, Peoples R China. 3.[3]Henan Univ, Key Lab Nat Med & Immune Engn Henan Prov, Kaifeng, Peoples R China. 4.[4]Henan Univ, Key Lab Nat Med & Immune Engn Henan Prov, Kaifeng, Peoples R China. 5.[5]Zhengjiang Fangyuan Test Grp Co Ltd, Hangzhou, Zhejiang, Peoples R China. 6.[6]Henan Univ, Key Lab Nat Med & Immune Engn Henan Prov, Kaifeng, Peoples R China. 7.[7]Henan Univ, Key Lab Nat Med & Immune Engn Henan Prov, Kaifeng, Peoples R China. 8.Henan Univ, Pharmaceut Coll, Kaifeng, Peoples R China. 9.[8]Henan Univ, Key Lab Nat Med & Immune Engn Henan Prov, Kaifeng, Peoples R China.
推荐引用方式 GB/T 7714	Yu, S.[1],Gao, S.[2],Gan, Y.[3],et al. QSAR models for predicting octanol/water and organic carbon/water partition coefficients of polychlorinated biphenyls[J]. SAR AND QSAR IN ENVIRONMENTAL RESEARCH,2016,27(4):249-263.
APA	Yu, S.[1].,Gao, S.[2].,Gan, Y.[3].,Zhang, Y.[4].,Ruan, X.[5].,...&Shi, J.[8].(2016).QSAR models for predicting octanol/water and organic carbon/water partition coefficients of polychlorinated biphenyls.SAR AND QSAR IN ENVIRONMENTAL RESEARCH,27(4),249-263.
MLA	Yu, S.[1],et al."QSAR models for predicting octanol/water and organic carbon/water partition coefficients of polychlorinated biphenyls".SAR AND QSAR IN ENVIRONMENTAL RESEARCH 27.4(2016):249-263.

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