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临床批准药物和研究药物筛选新型冠状病毒 2 型的潜在抑制剂:一项联合计算机筛选和体外研究。

Screening of Clinically Approved and Investigation Drugs as Potential Inhibitors of SARS-CoV-2: A Combined in silico and in vitro Study.

机构信息

Computational Biology and Molecular Simulations Laboratory, Department of Biophysics, School of Medicine, Bahcesehir University, 34734, Istanbul, Turkey.

Neuroscience Program, Graduate School of Health Sciences, Bahçeşehir University, 34353, Istanbul, Turkey.

出版信息

Mol Inform. 2022 Feb;41(2):e2100062. doi: 10.1002/minf.202100062. Epub 2021 Sep 16.

Abstract

In the current study, we used 7922 FDA approved small molecule drugs as well as compounds in clinical investigation from NIH's NPC database in our drug repurposing study. SARS-CoV-2 main protease as well as Spike protein/ACE2 targets were used in virtual screening and top-100 compounds from each docking simulations were considered initially in short molecular dynamics (MD) simulations and their average binding energies were calculated by MM/GBSA method. Promising hit compounds selected based on average MM/GBSA scores were then used in long MD simulations. Based on these numerical calculations following compounds were found as hit inhibitors for the SARS-CoV-2 main protease: Pinokalant, terlakiren, ritonavir, cefotiam, telinavir, rotigaptide, and cefpiramide. In addition, following 3 compounds were identified as inhibitors for Spike/ACE2: Denopamine, bometolol, and rotigaptide. In order to verify the predictions of in silico analyses, 4 compounds (ritonavir, rotigaptide, cefotiam, and cefpiramide) for the main protease and 2 compounds (rotigaptide and denopamine) for the Spike/ACE2 interactions were tested by in vitro experiments. While the concentration-dependent inhibition of the ritonavir, rotigaptide, and cefotiam was observed for the main protease; denopamine was effective at the inhibition of Spike/ACE2 binding.

摘要

在本研究中,我们在药物再利用研究中使用了 7922 种美国食品和药物管理局批准的小分子药物以及美国国立卫生研究院 NPC 数据库中临床研究中的化合物。我们使用 SARS-CoV-2 主要蛋白酶和 Spike 蛋白/ACE2 靶点进行虚拟筛选,最初考虑了每个对接模拟的前 100 种化合物,然后在短分子动力学(MD)模拟中对它们进行模拟,并通过 MM/GBSA 方法计算它们的平均结合能。根据平均 MM/GBSA 评分选择有前途的命中化合物,然后将其用于长 MD 模拟。根据这些数值计算,以下化合物被发现为 SARS-CoV-2 主要蛋白酶的有效抑制剂:Pinokalant、terlakiren、ritonavir、cefotiam、telinavir、rotigaptide 和 cefpiramide。此外,以下 3 种化合物被鉴定为 Spike/ACE2 的抑制剂:Denopamine、bometolol 和 rotigaptide。为了验证计算机分析的预测,我们通过体外实验测试了 4 种(ritonavir、rotigaptide、cefotiam 和 cefpiramide)针对主要蛋白酶和 2 种(rotigaptide 和 denopamine)针对 Spike/ACE2 相互作用的化合物。虽然 ritonavir、rotigaptide 和 cefotiam 对主要蛋白酶的浓度依赖性抑制作用,但 denopamine 有效抑制 Spike/ACE2 结合。

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