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结构分析、虚拟筛选和分子模拟鉴定靶向 SARS-CoV-2 冠状病毒 2'-O-核糖甲基转移酶的潜在抑制剂。

Structural analysis, virtual screening and molecular simulation to identify potential inhibitors targeting 2'-O-ribose methyltransferase of SARS-CoV-2 coronavirus.

机构信息

Department of Oncology, Wayne State University School of Medicine, Detroit, MI, USA.

Department of Biochemistry, Microbiology and Immunology, Wayne State University School of Medicine, Detroit, MI, USA.

出版信息

J Biomol Struct Dyn. 2022 Feb;40(3):1331-1346. doi: 10.1080/07391102.2020.1828172. Epub 2020 Oct 4.

Abstract

SARS-CoV-2, an emerging coronavirus, has spread rapidly around the world, resulting in over ten million cases and more than half a million deaths as of July 1, 2020. Effective treatments and vaccines for SARS-CoV-2 infection do not currently exist. Previous studies demonstrated that nonstructural protein 16 (nsp16) of coronavirus is an S-adenosyl methionine (SAM)-dependent 2'-O-methyltransferase (2'-O-MTase) that has an important role in viral replication and prevents recognition by the host innate immune system. In the present study, we employed structural analysis, virtual screening, and molecular simulation approaches to identify clinically investigated and approved drugs which can act as promising inhibitors against nsp16 2'-O-MTase of SARS-CoV-2. Comparative analysis of primary amino acid sequences and crystal structures of seven human CoVs defined the key residues for nsp16 2-O'-MTase functions. Virtual screening and docking analysis ranked the potential inhibitors of nsp16 from more than 4,500 clinically investigated and approved drugs. Furthermore, molecular dynamics simulations were carried out on eight top candidates, including Hesperidin, Rimegepant, Gs-9667, and Sonedenoson, to calculate various structural parameters and understand the dynamic behavior of the drug-protein complexes. Our studies provided the foundation to further test and repurpose these candidate drugs experimentally and/or clinically for COVID-19 treatment.Communicated by Ramaswamy H. Sarma.

摘要

截至 2020 年 7 月 1 日,新型冠状病毒(SARS-CoV-2)作为一种新兴的冠状病毒在全球迅速传播,导致超过 1000 万例病例和超过 50 万人死亡。目前,尚无针对 SARS-CoV-2 感染的有效治疗方法和疫苗。先前的研究表明,冠状病毒的非结构蛋白 16(nsp16)是一种依赖 S-腺苷甲硫氨酸(SAM)的 2'-O-甲基转移酶(2'-O-MTase),在病毒复制过程中发挥着重要作用,并阻止了宿主固有免疫系统的识别。在本研究中,我们采用结构分析、虚拟筛选和分子模拟方法,从超过 4500 种经过临床研究和批准的药物中鉴定出可作为有希望的 SARS-CoV-2 nsp16 2'-O-MTase 抑制剂的药物。对七种人类冠状病毒的一级氨基酸序列和晶体结构进行比较分析,确定了 nsp16 2-O'-MTase 功能的关键残基。虚拟筛选和对接分析对 nsp16 的潜在抑制剂进行了排序,这些抑制剂来自 4500 多种经过临床研究和批准的药物。此外,我们对包括橙皮苷、rimegepant、Gs-9667 和 sonedenoson 在内的 8 种候选药物进行了分子动力学模拟,以计算各种结构参数,并了解药物-蛋白质复合物的动态行为。我们的研究为进一步在实验和/或临床中测试和重新利用这些候选药物治疗 COVID-19 提供了基础。通讯作者为 Ramaswamy H. Sarma。

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