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使用计算方法探索 CCR5 的结合位点:一种 3D-QSAR 方法。

Binding site exploration of CCR5 using in silico methodologies: a 3D-QSAR approach.

机构信息

Department of Bio-New Drug Development, College of Medicine, Chosun University, 375 Seosuk-dong, Dong-gu, Gwangju 501-759, Korea.

出版信息

Arch Pharm Res. 2013 Jan;36(1):6-31. doi: 10.1007/s12272-013-0001-1.

Abstract

Chemokine receptor 5 (CCR5) is an important receptor used by human immunodeficiency virus type 1 (HIV-1) to gain viral entry into host cell. In this study, we used a combined approach of comparative modeling, molecular docking, and three dimensional quantitative structure activity relationship (3D-QSAR) analyses to elucidate detailed interaction of CCR5 with their inhibitors. Docking study of the most potent inhibitor from a series of compounds was done to derive the bioactive conformation. Parameters such as random selection, rational selection, different charges and grid spacing were utilized in the model development to check their performance on the model predictivity. Final comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) models were chosen based on the rational selection method, Gasteiger-Hückel charges and a grid spacing of 0.5 Å. Rational model for CoMFA (q(2) = 0.722, r(2) = 0.884, Q(2) = 0.669) and CoMSIA (q(2) = 0.712, r(2) = 0.825, Q(2) = 0.522) was obtained with good statistics. Mapping of contour maps onto CCR5 interface led us to better understand of the ligand-protein interaction. Docking analysis revealed that the Glu283 is crucial for interaction. Two new amino acid residues, Tyr89 and Thr167 were identified as important in ligand-protein interaction. No site directed mutagenesis studies on these residues have been reported.

摘要

趋化因子受体 5(CCR5)是人类免疫缺陷病毒 1(HIV-1)获得病毒进入宿主细胞的重要受体。在这项研究中,我们采用比较建模、分子对接和三维定量构效关系(3D-QSAR)分析相结合的方法,阐明了 CCR5 与抑制剂的详细相互作用。对一系列化合物中最有效的抑制剂进行对接研究,以得出其生物活性构象。在模型开发中,使用随机选择、合理选择、不同电荷和网格间距等参数来检查它们对模型预测能力的影响。最终选择基于合理选择方法、加斯特格尔-胡克尔电荷和网格间距为 0.5 Å 的比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)模型。合理的 CoMFA(q(2) = 0.722、r(2) = 0.884、Q(2) = 0.669)和 CoMSIA(q(2) = 0.712、r(2) = 0.825、Q(2) = 0.522)模型具有良好的统计学。将等高线映射到 CCR5 界面上,使我们更好地理解配体-蛋白相互作用。对接分析表明 Glu283 对相互作用至关重要。鉴定出两个新的氨基酸残基 Tyr89 和 Thr167 在配体-蛋白相互作用中很重要。尚未报道对这些残基进行的定点突变研究。

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