a Department of Medicinal Chemistry, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences , Shandong University , Shandong , China.
SAR QSAR Environ Res. 2013 Oct;24(10):819-39. doi: 10.1080/1062936X.2013.820792. Epub 2013 Aug 29.
Three-dimensional quantitative structure-activity relationship (3D-QSAR) studies were performed based on a series of azaindole carboxylic acid derivatives that had previously been reported as promising HIV-1 integrase inhibitors. Docking studies to explore the binding mode were performed based on the highly active molecule 36. The best docked conformation of molecule 36 was used as template for alignment. The comparative molecular field analysis (CoMFA) model (including steric and electrostatic fields) yielded the cross validation q (2) = 0.655, non-cross validation r (2) = 0.989 and predictive r (2) pred = 0.979. The best comparative molecular similarity indices analysis (CoMSIA) model (including steric, electrostatic, hydrophobic and hydrogen-bond acceptor fields) yielded the cross validation q (2) = 0.719, non-cross validation r (2) = 0.992 and predictive r (2) pred = 0.953. A series of new azaindole carboxylic acid derivatives were designed and the HIV-1 integrase inhibitory activities of these designed compounds were predicted based on the CoMFA and CoMSIA models.
进行了基于一系列已报道的作为有前途的 HIV-1 整合酶抑制剂的氮茚羧酸衍生物的三维定量构效关系(3D-QSAR)研究。根据高活性分子 36 进行了探索结合模式的对接研究。将分子 36 的最佳对接构象用作对齐模板。比较分子场分析(CoMFA)模型(包括立体和静电场)产生了交叉验证 q (2)= 0.655、非交叉验证 r (2)= 0.989 和预测 r (2)pred = 0.979。最佳比较分子相似性指数分析(CoMSIA)模型(包括立体、静电、疏水和氢键接受体场)产生了交叉验证 q (2)= 0.719、非交叉验证 r (2)= 0.992 和预测 r (2)pred = 0.953。设计了一系列新的氮茚羧酸衍生物,并根据 CoMFA 和 CoMSIA 模型预测了这些设计化合物对 HIV-1 整合酶的抑制活性。