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Integrating docking scores and key interaction profiles to improve the accuracy of molecular docking: towards novel B-Raf(V600E) inhibitors  ( SCI-EXPANDED收录)   被引量:6

文献类型:期刊文献

英文题名:Integrating docking scores and key interaction profiles to improve the accuracy of molecular docking: towards novel B-Raf(V600E) inhibitors

作者:Hu, Chun-Qi[1,2,4];Li, Kang[1,3];Yao, Ting-Ting[1];Hu, Yong-Zhou[1];Ying, Hua-Zhou[1];Dong, Xiao-Wu[1]

机构:[1]Zhejiang Univ, Zhejiang Prov Key Lab Anticanc Drug Res, Coll Pharmaceut Sci, Hangzhou, Zhejiang, Peoples R China;[2]Shaoxing Univ, Coll Chem & Chem Engn, Shaoxing, Peoples R China;[3]Zhejiang Univ Technol, Collaborat Innovat Ctr Yangtze River Delta Reg Gr, Hangzhou, Zhejiang, Peoples R China;[4]Yongning Pharma, Taizhou, Peoples R China

年份:2017

卷号:8

期号:9

起止页码:1835

外文期刊名:MEDCHEMCOMM

收录:SCI-EXPANDED(收录号:WOS:000411437800011)、、WOS

基金:This study was financially supported by the National Natural Science Foundation of China (81673294, 81502914 and 81502926) and the Science and Technology Planning Project of Zhejiang Province (2016C33067).

语种:英文

外文摘要:A set of ninety-eight B-Raf(V600E) inhibitors was used for the development of a molecular docking based QSAR model using linear and non-linear regression models. The integration of docking scores and key interaction profiles significantly improved the accuracy of the QSAR models, providing reasonable statistical parameters (R-train(2) = 0.935, R-test(2) = 0.728 and Q(CV)(2) = 0.905). The established MD-SVR (molecular docking based SMV regression) model as well as model screening of a natural product database was carried out and two natural products (quercetin and myricetin) with good prediction activities were biologically evaluated. Both compounds exhibited promising B-Raf(V600E) inhibitory activities (IC50Quercetin = 7.59 mu M and IC50Myricetin = 1.56 mu M), suggesting a high reliability and good applicability of the established MD-SVR model in the future development of B-Raf(V600E) inhibitors with high efficacy.

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