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基于结构的虚拟筛选工作流程,用于鉴定靶向 HIV-1 衣壳的抗病毒药物。

Structure-based virtual screening workflow to identify antivirals targeting HIV-1 capsid.

机构信息

Center for Biophysics and Computational Biology and Department of Chemistry, Temple University, Philadelphia, PA, 19122, USA.

Institute for Applied Cancer Science, MD Anderson Cancer Center, Houston, TX, 77030, USA.

出版信息

J Comput Aided Mol Des. 2022 Mar;36(3):193-203. doi: 10.1007/s10822-022-00446-5. Epub 2022 Mar 9.

DOI:10.1007/s10822-022-00446-5
PMID:35262811
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8904208/
Abstract

We have identified novel HIV-1 capsid inhibitors targeting the PF74 binding site. Acting as the building block of the HIV-1 capsid core, the HIV-1 capsid protein plays an important role in the viral life cycle and is an attractive target for antiviral development. A structure-based virtual screening workflow for hit identification was employed, which includes docking 1.6 million commercially-available drug-like compounds from the ZINC database to the capsid dimer, followed by applying two absolute binding free energy (ABFE) filters on the 500 top-ranked molecules from docking. The first employs the Binding Energy Distribution Analysis Method (BEDAM) in implicit solvent. The top-ranked compounds are then refined using the Double Decoupling method in explicit solvent. Both docking and BEDAM refinement were carried out on the IBM World Community Grid as part of the FightAIDS@Home project. Using this virtual screening workflow, we identified 24 molecules with calculated binding free energies between - 6 and - 12 kcal/mol. We performed thermal shift assays on these molecules to examine their potential effects on the stability of HIV-1 capsid hexamer and found that two compounds, ZINC520357473 and ZINC4119064 increased the melting point of the latter by 14.8 °C and 33 °C, respectively. These results support the conclusion that the two ZINC compounds are primary hits targeting the capsid dimer interface. Our simulations also suggest that the two hit molecules may bind at the capsid dimer interface by occupying a new sub-pocket that has not been exploited by existing CA inhibitors. The possible causes for why other top-scored compounds suggested by ABFE filters failed to show measurable activity are discussed.

摘要

我们已经鉴定出了针对 PF74 结合位点的新型 HIV-1 衣壳抑制剂。HIV-1 衣壳蛋白作为 HIV-1 衣壳核心的构建模块,在病毒生命周期中发挥着重要作用,是抗病毒药物开发的一个有吸引力的靶点。我们采用了一种基于结构的虚拟筛选工作流程来识别命中化合物,该流程包括将来自 ZINC 数据库的 160 万个商业上可用的类药化合物对接至衣壳二聚体,然后对对接后排名前 500 的分子应用两个绝对结合自由能 (ABFE) 过滤器。第一个过滤器使用隐式溶剂中的结合能分布分析方法 (BEDAM)。然后使用显式溶剂中的双解耦方法对排名靠前的化合物进行优化。对接和 BEDAM 优化都是在 IBM World Community Grid 上进行的,这是 FightAIDS@Home 项目的一部分。使用这种虚拟筛选工作流程,我们鉴定出了 24 个计算结合自由能在-6 到-12 kcal/mol 之间的分子。我们对这些分子进行了热迁移分析实验,以检查它们对 HIV-1 衣壳六聚体稳定性的潜在影响,发现两种化合物 ZINC520357473 和 ZINC4119064 分别使后者的熔点提高了 14.8°C 和 33°C。这些结果支持了这样的结论,即这两种 ZINC 化合物是针对衣壳二聚体界面的主要命中化合物。我们的模拟还表明,这两种命中化合物可能通过占据一个尚未被现有 CA 抑制剂利用的新亚口袋来结合在衣壳二聚体界面上。讨论了为什么 ABFE 过滤器建议的其他得分最高的化合物未能显示出可测量的活性的可能原因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/903c/8904208/d31637952a18/10822_2022_446_Fig9_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/903c/8904208/87abbf7193dc/10822_2022_446_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/903c/8904208/c0ecc0488030/10822_2022_446_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/903c/8904208/064b25f37994/10822_2022_446_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/903c/8904208/d31637952a18/10822_2022_446_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/903c/8904208/f508b84f6c7b/10822_2022_446_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/903c/8904208/e0c7fced00e3/10822_2022_446_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/903c/8904208/3206f7566e81/10822_2022_446_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/903c/8904208/6c9c8a67e5d7/10822_2022_446_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/903c/8904208/d056c3d3320c/10822_2022_446_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/903c/8904208/87abbf7193dc/10822_2022_446_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/903c/8904208/c0ecc0488030/10822_2022_446_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/903c/8904208/064b25f37994/10822_2022_446_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/903c/8904208/d31637952a18/10822_2022_446_Fig9_HTML.jpg

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