标题:Receptor-based QSAR study for a series of 3,3-disubstituted-5-aryl oxindoles and 6-aryl benzimidazol-2-ones derivatives as progesterone receptor inhibitors
作者:Wang, J. H.; Hou, Q. Q.; Tang, K.; Cheng, X. L.; Dong, L. H.; Liu, Y. J.; Liu, C. B.
作者机构:[Wang, J. H.; Hou, Q. Q.; Tang, K.; Cheng, X. L.; Liu, Y. J.; Liu, C. B.] Shandong Univ, Key Lab Colloid & Interface Chem, Minist Educ, Sch Chem & Che 更多
通讯作者:Liu, YJ
通讯作者地址:[Liu, YJ]Shandong Univ, Key Lab Colloid & Interface Chem, Minist Educ, Sch Chem & Chem Engn, Jinan 250100, Shandong, Peoples R China.
来源:SAR AND QSAR IN ENVIRONMENTAL RESEARCH
出版年:2011
卷:22
期:7-8
页码:775-799
DOI:10.1080/1062936X.2011.623324
关键词:progesterone receptor; comparative molecular field analysis (CoMFA);; comparative molecular similarity indices analysis (CoMSIA); inhibitor;; QSAR
摘要:Receptor-based comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were performed on a series of 54 progesterone receptor (PR) inhibitors. The established CoMFA model from the training set gives statistically significant results with the cross-validated q(2) of 0.534 and non-cross-validated r(ncv)(2) of 0.947. The best CoMSIA model was derived by the combination of steric field and hydrophobic field with a q(2) of 0.615 and r(ncv)(2) of 0.954. A test set of 18 compounds was used to validate the predictive ability of the two models. The predicted correlation coefficients r(pred)(2) are 0.681 and 0.677 for CoMFA and CoMSIA models, respectively. Based on the CoMFA maps, the key structural characters of progesterone receptor inhibitors are identified. Moreover, the binding modes of oxindoles and benzimidazol-2-ones are also given by the quantum mechanical/molecular mechanical (QM/MM) calculations. This may provide useful information for drug design.
收录类别:SCOPUS;SCIE
WOS核心被引频次:7
Scopus被引频次:7
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84862950625&doi=10.1080%2f1062936X.2011.623324&partnerID=40&md5=ac44fb2dfc31b62263a81e36b24f8b4a
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