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计算机辅助方法揭示了三羟基色满和吡唑啉酮衍生物作为严重急性呼吸综合征冠状病毒2(SARS-CoV-2)病毒主要蛋白酶的潜在抑制剂。

Computer-aided approaches reveal trihydroxychroman and pyrazolone derivatives as potential inhibitors of SARS-CoV-2 virus main protease.

作者信息

Atatreh Noor, Hasan Shaima, Ali Bassam R, Ghattas Mohammad A

机构信息

College of Pharmacy, Al Ain University Abu Dhabi, UAE, P.O. Box 112612.

Department of Pathology, College of Medicine and Health Sciences, United Arab Emirates University Al Ain, UAE.

出版信息

Acta Pharm. 2020 Dec 31;71(3):325-333. doi: 10.2478/acph-2021-0040. Print 2021 Sep 1.

DOI:10.2478/acph-2021-0040
PMID:36654095
Abstract

COVID-19 was declared a pandemic by the World Health Organization (WHO) in March 2020. The disease is caused by severe acute respiratory syndrome coronavirus 2 (SARSCoV-2). The aim of this study is to target the SARS-CoV-2 virus main protease (M) structure-based virtual screening. Consequently, > 580,000 ligands were processed several filtration and docking steps, then the top 21 compounds were analysed extensively MM-GBSA scoring and molecular dynamic simulations. Interestingly, the top compounds showed favorable binding energies and binding patterns to the protease enzyme, forming interactions with several key residues. Trihydroxychroman and pyrazolone derivatives, SN02 and SN18 ligands, exhibited very promising binding modes along with the best MM-GBSA scoring of -40.9 and -41.2 kcal mol, resp. MD simulations of 300 ns for the ligand-protein complexes of SN02 and SN18 affirmed the previously attained results of the potential inhibition activity of these two ligands. These potential inhibitors can be the starting point for further studies to pave way for the discovery of new antiviral drugs for SARS-CoV-2.

摘要

2020年3月,世界卫生组织(WHO)宣布新型冠状病毒肺炎(COVID-19)为大流行病。该疾病由严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引起。本研究的目的是针对SARS-CoV-2病毒主要蛋白酶(M)进行基于结构的虚拟筛选。因此,经过几个过滤和对接步骤,处理了超过580,000种配体,然后通过MM-GBSA评分和分子动力学模拟对排名前21的化合物进行了广泛分析。有趣的是,排名靠前的化合物对蛋白酶显示出有利的结合能和结合模式,与几个关键残基形成相互作用。三羟基色满和吡唑啉酮衍生物,即SN02和SN18配体,表现出非常有前景的结合模式,其MM-GBSA评分分别为-40.9和-41.2 kcal/mol,是最好的。对SN02和SN18的配体-蛋白质复合物进行300 ns的分子动力学模拟,证实了这两种配体先前获得的潜在抑制活性结果。这些潜在的抑制剂可以作为进一步研究的起点,为发现针对SARS-CoV-2的新型抗病毒药物铺平道路。

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