Structural-Based Virtual Screening of FDA-Approved Drugs Repository for NSP16 Inhibitors, Essential for SARS-COV-2 Invasion Into Host Cells: Elucidation From MM/PBSA Calculation.

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS Bioinformatics and Biology Insights Pub Date : 2023-01-01 DOI:10.1177/11779322231171777
Subodh Kumar, Harvinder Singh, Manisha Prajapat, Phulen Sarma, Anusuya Bhattacharyya, Hardeep Kaur, Gurjeet Kaur, Nishant Shekhar, Karanveer Kaushal, Kalpna Kumari, Seema Bansal, Saniya Mahendiratta, Arushi Chauhan, Ashutosh Singh, Rahul Soloman Singh, Saurabh Sharma, Prasad Thota, Pramod Avti, Ajay Prakash, Anurag Kuhad, Bikash Medhi
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引用次数: 1

Abstract

NSP16 is one of the structural proteins of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) necessary for its entrance to the host cells. It exhibits 2'O-methyl-transferase (2'O-MTase) activity of NSP16 using methyl group from S-adenosyl methionine (SAM) by methylating the 5-end of virally encoded mRNAs and shields viral RNA, and also controls its replication as well as infection. In the present study, we used in silico approaches of drug repurposing to target and inhibit the SAM binding site in NSP16 using Food and Drug Administration (FDA)-approved small molecules set from Drug Bank database. Among the 2 456 FDA-approved molecules, framycetin, paromomycin, and amikacin were found to be significant binders against the SAM binding cryptic pocket of NSP16 with docking score of -13.708, -14.997 and -15.841 kcal/mol, respectively. Classical molecular dynamics (MD) simulation and molecular mechanics Poisson-Boltzmann surface area (MM/PBSA)-based binding free energy calculation depicted that all these three framycetin, paromomycin, and amikacin might be promising therapeutic leads towards SARS-CoV-2 infections via host immune escape inhibition pathway.

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基于结构的fda批准的NSP16抑制剂药物库虚拟筛选,对SARS-COV-2入侵宿主细胞至关重要:来自MM/PBSA计算的阐明
NSP16是严重急性呼吸综合征冠状病毒2 (SARS-CoV-2)进入宿主细胞所必需的结构蛋白之一。它利用s -腺苷蛋氨酸(SAM)的甲基基甲基化病毒编码mrna的5端,表现出NSP16的2' o -甲基转移酶(2'O-MTase)活性,屏蔽病毒RNA,并控制病毒的复制和感染。在本研究中,我们利用美国食品和药物管理局(FDA)批准的药物库数据库中的小分子集,使用药物再利用的计算机方法来靶向和抑制NSP16中的SAM结合位点。在fda批准的2 456个分子中,framcetin、paromomycin和amikacin是NSP16 SAM结合隐口袋的显著结合物,对接评分分别为-13.708、-14.997和-15.841 kcal/mol。经典分子动力学(MD)模拟和基于泊松-玻尔兹曼表面积(MM/PBSA)的分子力学结合自由能计算表明,这三种药物都可能是通过宿主免疫逃逸抑制途径治疗SARS-CoV-2感染的有希望的治疗药物。
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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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