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预测 SARS-CoV-2(2019-nCoV)3C 样蛋白酶(3CL)结构:虚拟筛选揭示了维帕他韦、来迪派韦和其他药物再利用候选药物。

Prediction of the SARS-CoV-2 (2019-nCoV) 3C-like protease (3CL ) structure: virtual screening reveals velpatasvir, ledipasvir, and other drug repurposing candidates.

机构信息

Department of Applied Biology & Chemical Technology, Hong Kong Polytechnic University, Hunghom, Hong Kong.

State Key Laboratory of Chemical Biology and Drug Discovery, Hunghom, Hong Kong.

出版信息

F1000Res. 2020 Feb 21;9:129. doi: 10.12688/f1000research.22457.2. eCollection 2020.

DOI:10.12688/f1000research.22457.2
PMID:32194944
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7062204/
Abstract

We prepared the three-dimensional model of the SARS-CoV-2 (aka 2019-nCoV) 3C-like protease (3CL ) using the crystal structure of the highly similar (96% identity) ortholog from the SARS-CoV. All residues involved in the catalysis, substrate binding and dimerisation are 100% conserved. Comparison of the polyprotein PP1AB sequences showed 86% identity. The 3C-like cleavage sites on the coronaviral polyproteins are highly conserved. Based on the near-identical substrate specificities and high sequence identities, we are of the opinion that some of the previous progress of specific inhibitors development for the SARS-CoV enzyme can be conferred on its SARS-CoV-2 counterpart.  With the 3CL molecular model, we performed virtual screening for purchasable drugs and proposed 16 candidates for consideration. Among these, the antivirals ledipasvir or velpatasvir are particularly attractive as therapeutics to combat the new coronavirus with minimal side effects, commonly fatigue and headache.  The drugs Epclusa (velpatasvir/sofosbuvir) and Harvoni (ledipasvir/sofosbuvir) could be very effective owing to their dual inhibitory actions on two viral enzymes.

摘要

我们使用与 SARS-CoV 高度相似(96%的同一性)的同源物的晶体结构,准备了 SARS-CoV-2(又名 2019-nCoV)3C 样蛋白酶(3CL)的三维模型。所有参与催化、底物结合和二聚化的残基都 100%保守。对多蛋白 PP1AB 序列的比较表明,它们有 86%的同一性。冠状病毒多蛋白上的 3C 样切割位点高度保守。基于相近的底物特异性和高序列同一性,我们认为可以将针对 SARS-CoV 酶的特定抑制剂开发的一些前期进展应用于 SARS-CoV-2 的对应物。我们使用 3CL 分子模型对可购买的药物进行了虚拟筛选,并提出了 16 种候选药物供考虑。其中,抗病毒药物 ledipasvir 或 velpatasvir 作为治疗药物特别有吸引力,因为它们具有最小的副作用,通常是疲劳和头痛。药物 Epclusa(velpatasvir/sofosbuvir)和 Harvoni(ledipasvir/sofosbuvir)可能非常有效,因为它们对两种病毒酶具有双重抑制作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a1c/7155945/d7f040e07d39/f1000research-9-25615-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a1c/7155945/d7f040e07d39/f1000research-9-25615-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a1c/7155945/d7f040e07d39/f1000research-9-25615-g0000.jpg

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