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Molecular Docking and Topomer CoMFA Research of Phenyl Acetamides Derivatives as Direct Thrombin Inhibitors

机译:作为直接凝血酶抑制剂的苯基乙酰胺衍生物的分子对接和拓拓和拓拓研究

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The molecular docking was employed to study the binding of 37 phenyl acetamides derivatives to human α-thrombin. The results showed that hydrogen bonding interactions between Asp189 and basic group of P1 moiety of inhibitors, hydrophobic interactions between Tyr60A, Trp60D and benzene ring of P2 moiety, electrostatic interactions between His215 and negative-charged substituent of the benzene ring, hydrophobic interactions and steric hindrance between the binding site S3 and P3 moiety were the dominant factors affecting the binding affinities. Topomer comparative molecular field analysis (Topomer CoMFA) was then used to establish models for virtual screening, which resulted in a reliable computational model. The number of principal components, r~2, q~2 (leave-one-out, LOO), r_(pred)~2 of the optimal Topomer CoMFA model were 3, 0.869, 0.544 and 0.873, respectively. The results showed that the external predictive abilities of Topomer CoMFA model was much better than that of the traditional CoMFA and CoMSIA models. The structure-activity relationships obtained from Topomer CoMFA model were in agreement with the docking results.
机译:使用分子对接来研究37个苯基乙酰胺衍生物与人α-凝血酶的结合。结果表明,ASP189与P1抑制剂的P1部分基础组的氢键相互作用,P2部分的Tyr60a,Trp60d和苯环之间的疏水相互作用,His215与苯环的负电依赖性之间的静电相互作用,疏水性相互作用和空间障碍在结合位点S3和P3部分之间是影响结合亲和力的主要因素。然后使用拓扑比较分子场分析(Topomer COMFA)来建立虚拟筛选模型,从而导致可靠的计算模型。最佳Topomer COMFA模型的主要组件,R〜2,Q〜2(左右,LOO),R_(PEAT)〜2的数量分别为3,0.869,0.544和0.873。结果表明,Topomer Comfa模型的外部预测能力远比传统的Comfa和Comsia模型更好。从Topomer COMFA模型获得的结构 - 活动关系与对接结果一致。

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