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使用对接和分子动力学模拟鉴定抗病毒植物化学物质作为潜在的严重急性呼吸综合征冠状病毒2(SARS-CoV-2)主要蛋白酶(Mpro)抑制剂

Identification of antiviral phytochemicals as a potential SARS-CoV-2 main protease (M) inhibitor using docking and molecular dynamics simulations.

作者信息

Patel Chirag N, Jani Siddhi P, Jaiswal Dharmesh G, Kumar Sivakumar Prasanth, Mangukia Naman, Parmar Robin M, Rawal Rakesh M, Pandya Himanshu A

机构信息

Department of Botany, Bioinformatics, and Climate Change Impacts Management, School of Sciences, Gujarat University, Ahmedabad, 380009, India.

BioInnovations, Bhayander (West), Mumbai, 401101, India.

出版信息

Sci Rep. 2021 Oct 13;11(1):20295. doi: 10.1038/s41598-021-99165-4.

Abstract

Novel SARS-CoV-2, an etiological factor of Coronavirus disease 2019 (COVID-19), poses a great challenge to the public health care system. Among other druggable targets of SARS-Cov-2, the main protease (M) is regarded as a prominent enzyme target for drug developments owing to its crucial role in virus replication and transcription. We pursued a computational investigation to identify M inhibitors from a compiled library of natural compounds with proven antiviral activities using a hierarchical workflow of molecular docking, ADMET assessment, dynamic simulations and binding free-energy calculations. Five natural compounds, Withanosides V and VI, Racemosides A and B, and Shatavarin IX, obtained better binding affinity and attained stable interactions with M key pocket residues. These intermolecular key interactions were also retained profoundly in the simulation trajectory of 100 ns time scale indicating tight receptor binding. Free energy calculations prioritized Withanosides V and VI as the top candidates that can act as effective SARS-CoV-2 M inhibitors.

摘要

新型严重急性呼吸综合征冠状病毒2(SARS-CoV-2)是2019冠状病毒病(COVID-19)的病原体,给公共卫生保健系统带来了巨大挑战。在SARS-CoV-2的其他可成药靶点中,主要蛋白酶(M)因其在病毒复制和转录中的关键作用,被视为药物开发的重要酶靶点。我们进行了一项计算研究,使用分子对接、ADMET评估、动力学模拟和结合自由能计算的分层工作流程,从一个已编译的具有抗病毒活性的天然化合物库中识别M抑制剂。五种天然化合物,即睡茄苷V和VI、总状土木香苷A和B以及印度人参苷IX,获得了更好的结合亲和力,并与M关键口袋残基形成了稳定的相互作用。这些分子间的关键相互作用在100纳秒时间尺度的模拟轨迹中也得到了深刻保留,表明受体结合紧密。自由能计算将睡茄苷V和VI列为可作为有效SARS-CoV-2 M抑制剂的首选候选物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b87/8514552/5be186e7b614/41598_2021_99165_Fig1_HTML.jpg

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