Acquired Immunodeficiency Syndrome(AIDS) is a significant human health threat around the world. Therefore, the study of anti-human immunodeficiency virus(HIV) drug design has become an important task for today’s soci...Acquired Immunodeficiency Syndrome(AIDS) is a significant human health threat around the world. Therefore, the study of anti-human immunodeficiency virus(HIV) drug design has become an important task for today’s society. In this paper, a three-dimensional quantitative structure-activity relationships study(3 D-QSAR) was conducted on 53 HIV-1 integrase inhibitors(IN) using random sampling analysis on molecular surface(RASMS) and Topomer comparative molecular field analysis(Topomer CoMFA). The multiple correlation coefficients of fitting, cross-validation, and external validation of two models were 0.926, 0.815 and 0.908 and 0.930, 0.726 and 0.855, respectively. The results indicated that two models obtained had both favorable estimation stability and good prediction capability. Topomer Search was used to search appropriate R groups from ZINC database, and 28 new compounds were designed thereby. The Topomer CoMFA model was subsequently used to predict the biological activity of these compounds, showing that 24 of the new compounds were more active than the template molecule. Ligands of the template molecule and new designed compounds were used for molecular docking to study the interaction of these compounds with the protein receptor. The results show that the ligands would form hydrogen-bonding interactions with the residues LEU58, THR83, GLN62, MET155, LYS119 and ALA154 of the protein receptor generally, thereby providing additional insights for the design of even more effective HIV/AIDS drugs.展开更多
采用分子表面随机采样分析对26个香豆素类衍生物抗艾滋病药物进行定量构效关系研究。运用多元线性回归(multiple linear regression,MLR)建模,同时采用内部及外部双重验证的办法对所得模型稳定性能进行深入分析和检验。MLR建模的复相关...采用分子表面随机采样分析对26个香豆素类衍生物抗艾滋病药物进行定量构效关系研究。运用多元线性回归(multiple linear regression,MLR)建模,同时采用内部及外部双重验证的办法对所得模型稳定性能进行深入分析和检验。MLR建模的复相关系数(_(cum)~2)、留一法(1eave-one-out,LOO)交互校验(cross-validation,CV)复相关系数(Q_(CV)~2)和外部样本校验复相关系数r^2(test)分别为0.936、0.894、0.772。结果表明,RASMS能较好表征香豆素类衍生物抗艾滋病药物分子的结构信息,且所建模型具有良好稳定性和预测能力,可用于研发新型HIV整合酶抑制剂。展开更多
基金supported by the National Natural Science Foundation of China(21475081)Natural Science Foundation of Shaanxi Province(2015JM2057)Graduate Innovation Fund of Shaanxi University of Science and Technology
文摘Acquired Immunodeficiency Syndrome(AIDS) is a significant human health threat around the world. Therefore, the study of anti-human immunodeficiency virus(HIV) drug design has become an important task for today’s society. In this paper, a three-dimensional quantitative structure-activity relationships study(3 D-QSAR) was conducted on 53 HIV-1 integrase inhibitors(IN) using random sampling analysis on molecular surface(RASMS) and Topomer comparative molecular field analysis(Topomer CoMFA). The multiple correlation coefficients of fitting, cross-validation, and external validation of two models were 0.926, 0.815 and 0.908 and 0.930, 0.726 and 0.855, respectively. The results indicated that two models obtained had both favorable estimation stability and good prediction capability. Topomer Search was used to search appropriate R groups from ZINC database, and 28 new compounds were designed thereby. The Topomer CoMFA model was subsequently used to predict the biological activity of these compounds, showing that 24 of the new compounds were more active than the template molecule. Ligands of the template molecule and new designed compounds were used for molecular docking to study the interaction of these compounds with the protein receptor. The results show that the ligands would form hydrogen-bonding interactions with the residues LEU58, THR83, GLN62, MET155, LYS119 and ALA154 of the protein receptor generally, thereby providing additional insights for the design of even more effective HIV/AIDS drugs.
文摘采用分子表面随机采样分析对26个香豆素类衍生物抗艾滋病药物进行定量构效关系研究。运用多元线性回归(multiple linear regression,MLR)建模,同时采用内部及外部双重验证的办法对所得模型稳定性能进行深入分析和检验。MLR建模的复相关系数(_(cum)~2)、留一法(1eave-one-out,LOO)交互校验(cross-validation,CV)复相关系数(Q_(CV)~2)和外部样本校验复相关系数r^2(test)分别为0.936、0.894、0.772。结果表明,RASMS能较好表征香豆素类衍生物抗艾滋病药物分子的结构信息,且所建模型具有良好稳定性和预测能力,可用于研发新型HIV整合酶抑制剂。
