苯甲酮类及噻唑啉苯磺酸类HIV-1逆转录酶抑制剂的分子对接和定量构效关系研究
首发时间:2011-05-06
摘要:对32个包含有benzophenone (BP)核心的化合物[42]和21个包含thiazolidenebenzenesulfonamide (TBS)核心的HIV-1逆转录酶抑制剂的活性进行了分子对接以及比较分子力场分析(CoMFA)、比较分子相似性指数分析(CoMSIA)和Topomer CoMFA研究。研究发现,共结晶体HBY的对接位置和其晶体结构位置之间的RMSD值为0.653 ?,小于1 ?。氢键、疏水作用是影响该类配体与K103N突变受体相互作用的主要因素。对接得分与化合物实验活性有着显著的相关性,其相关系数r=0.7576, P<0.0001。基于对接结果进行了QSAR(HQSAR, Topomer CoMFA, CoMFA和CoMSIA)研究,共得到了6个模型,其q2均大于0.5,而模型外部检验r2pred值均大于0.7,显示6个模型均具有良好的预测能力。由此建立的QSAR模型组对样本测试集活性的预测取得良好的结果。QSAR研究结果表明,氢键作用、立体场和疏水作用对活性的影响很大。
关键词: 计算机辅助药物设计 HIV-1逆转录酶抑制剂 分子对接 定量构效关系
For information in English, please click here
Molecular docking and QSAR research on benzophenone and thiazolidenebenzenesulfonamide as HIV-1 NNRTIs
Abstract:In this paper, a series of 32 include benzophenone core derivatives and 21 include thiazolidenebenzenesulfonamide core derivatives, a class of highly potent non-nucleoside reverse transcriptase inhibitors (NNRTIs), was studied by molecular docking followed by comparative molecular field analysis (CoMFA), comparative molecular similarity index analysis (CoMSIA), and Topomer CoMFA studies. Results of molecular docking show that the biological activities are significantly correlated with the Total_Scores (r = 0.7576 and P <0.0001). The most important interactions between ligand and the K103N mutant are hydrogen-bond and hydrophobic interactions. 6 QSAR model were established byCoMFA, CoMSIA and Topomer CoMFA, of which the q2 and r2pred were all above 0.5 and 0.7, respectively. A QSAR-Model-Group, derived from 6 optimal QSAR models, (CoMFA, CoMSIA, and HQSAR respectively) were combined to construct with good results obtained.
Keywords: Computer-aided drug design HIV-1 non-nucleoside reverse transcriptase inhibitors molecular docking quantitative structure-activity relationship
论文图表:
引用
No.4424868537981130****
同行评议
共计0人参与
勘误表
苯甲酮类及噻唑啉苯磺酸类HIV-1逆转录酶抑制剂的分子对接和定量构效关系研究
评论
全部评论0/1000