基于Topomer CoMFA方法的喹诺酮羧酸类衍生物的QSAR研究及分子设计

采用基于R基团搜索技术的Topomer Co MFA技术对一系列喹诺酮羧酸类衍生物进行三维定量构效(3D-QSAR)关系研究,所得模型结果的交叉验证相关系数(q2)为0.790,非交互验证系数(r2)为0.890,外部验证的复相关系数(r2pred)为0.878,研究结果表明该模型具有良好的稳定性和预测能力。采用Topomer search技术在ZINC数据库中进行虚拟筛选,筛选出6个Ra基团和3个Rb基团,进而设计出12个具有更高活性的新型喹诺酮羧酸类化合物。采用分子对接技术对药物与受体的作用机制进行了研究,结果显示,药物与蛋白酶的ASP 30、ASP 29和ASN 25位点作用明显,该QSAR的研究结果可为新药合成提供理论参考。     

A 3D-QSAR Study of HIV-1 Integrase Inhibitors Using RASMS and Topomer CoMFA

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.     

4-羟氨基-α-吡喃酮甲酰胺类似物的3D-QSAR及分子对接研究

采用Topomer CoMFA方法对42个4-羟氨基-α-吡喃酮甲酰胺类似物进行三维定量构效关系(3D-QSAR)分析.所得最优模型的拟合、交互验证、及外部验证的复相关系数分别为0.926、0.638、0.923,结果表明该模型具有良好的稳定性和预测能力.采用Topomer Search技术在ZINK数据库中进行虚拟筛选,筛选出2个R1基团和16个R2基团,进而设计出32个具有更高活性的新型4-羟氨基-α-吡喃酮甲酰胺类化合物.采用分子对接技术对药物与受体的作用机制进行了研究,结果显示,药物与蛋白酶的ARG47、ILE368和GLY201位点作用明显,该QSAR的研究结果可为新药合成提供理论参考.     

3D-QSAR Study of Melittin and Amoebapore Analogues by CoMFA and CoMSIA Methods

Peptides are one of the indispensable substances in life. The use of computer aided drug design(CADD) methods to design peptides and peptiodmimetics can short the design cycle, save research funding, improve the level of whole research to a large extent and guide the discovery of new drugs. In this paper, Melittin and amoebapore three-dimensional quantitative structureactivity relationship(3D-QSAR) models were established by using comparative molecular field analysis(CoMFA) and comparative molecular similarity indices analysis(CoMSIA) method. The result shows that, the correlation coefficient(q~2) was 0.583 and non-cross-validation correlation coefficient(r~2) was 0.972 for the melittin CoMFA model. The q~2 and r~2 were 0.630 and 0.995 for the best CoMSIA model, 0.645 and 0.993 for the amoebapore CoMFA model, and 0.738 and 0.996 for the best CoMSIA model. The statistical parameters demonstrated that the CoMFA and CoMSIA models had both good predictive ability and high statistical stability, and can provide theoretical basis for designing new high activity polypeptide drugs.     

基于Topomer CoMFA的苯磺酰基亚胺噻唑衍生物的三维定量构效关系研究和分子设计

采用Topomer CoMFA方法对21个苯磺酰基亚胺噻唑衍生物进行三维定量构效关系研究,得到了HIV-1非核苷类逆转录酶抑制剂的3D-QSAR模型,其拟合复相关系数r2=0.964,交互验证复相关系数q2=0.801,外部验证复相关系数Qext2=0.959;采用基于片段的药物设计方法 Topomer Search从ZINC数据库中虚拟筛选出3个Ra基团和7个Rb基团,且设计得到21个新化合物.结果表明:该模型不仅稳定性良好,而且具有较强的预测能力;采用Topomer Search技术能够有效的筛选进而设计出新的化合物,为抗艾滋病新药的设计提供理论依据.