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基于结构的虚拟筛选和分子动力学模拟预测新型 Gp41 抑制剂抗 HIV-1 的活性。

Anti-HIV-1 Activity Prediction of Novel Gp41 Inhibitors Using Structure-Based Virtual Screening and Molecular Dynamics Simulation.

机构信息

Department of Medicinal Chemistry, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan/, Iran, 81746-73461.

Isfahan Pharmaceutical Research Centre, Isfahan University of Medical Sciences, Isfahan/, Iran, 81746-73461.

出版信息

Mol Inform. 2017 Mar;36(3). doi: 10.1002/minf.201600060. Epub 2016 Oct 12.

DOI:10.1002/minf.201600060
PMID:27730744
Abstract

The fusion of viral and host cell membranes is mediated using gp41 subunit of the human immunodeficiency virus type 1 (HIV-1) envelope glycoprotein. As the HIV-1 enters the host cells, the two helical regions (HR1 and HR2) in the ectodomain of gp41 form a six-helix bundle, which carries the target and viral cell membranes to close proximity. Steps of this process serve as attractive targets for developing HIV-1 fusion inhibitors. Identification of some novel HIV fusion inhibitors with the goal of blocking the formation of the six-helix bundle was accomplished by computer-aided drug design techniques. A virtual screening strategy was employed to recognize small molecules presumably able to bind the gp41 at the internal interface of the NHR helices at the core native viral six-helix. This study was carried out in two stages. In the first stage, a library of more than seven thousand compounds was collected from ZINC, PubChem and BindingDB databases and protein data bank. Key contacts of known inhibitors with gp41 binding site residues were considered as the collecting criteria. In the second stage series of filtering processes were performed on this library in subsequent steps to find the potential gp41 inhibitors. The filtering criteria included pharmacokinetic and ADMET properties as well as in silico anti-HIV-1 prediction. Molecular docking simulation was carried out to identify interactions of the filtered molecules with the key residues in the gp41 binding site. Finally, molecular dynamics simulation indicates the superior inhibitory ability of three selected compounds over the known gp41inhibitor, NB-64.

摘要

病毒和宿主细胞膜的融合是通过人类免疫缺陷病毒 1 型 (HIV-1) 包膜糖蛋白的 gp41 亚单位介导的。当 HIV-1 进入宿主细胞时,gp41 外域中的两个螺旋区 (HR1 和 HR2) 形成六螺旋束,将靶细胞和病毒细胞膜拉近。该过程的步骤是开发 HIV-1 融合抑制剂的有吸引力的目标。通过计算机辅助药物设计技术,鉴定了一些具有阻止六螺旋束形成目标的新型 HIV 融合抑制剂。采用虚拟筛选策略来识别假定能够与 NHR 螺旋内部界面的 gp41 结合的小分子,位于核心天然病毒六螺旋体中。这项研究分两个阶段进行。在第一阶段,从 ZINC、PubChem 和 BindingDB 数据库和蛋白质数据库中收集了超过 7000 种化合物的库。将已知抑制剂与 gp41 结合位点残基的关键接触视为收集标准。在第二阶段,对该库进行了一系列过滤过程,以在随后的步骤中找到潜在的 gp41 抑制剂。过滤标准包括药代动力学和 ADMET 特性以及计算机抗 HIV-1 预测。分子对接模拟用于识别过滤分子与 gp41 结合位点关键残基的相互作用。最后,分子动力学模拟表明,与已知的 gp41 抑制剂 NB-64 相比,三种选定化合物具有更高的抑制能力。

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