In search of RdRp and Mpro inhibitors against SARS CoV-2: Molecular docking, molecular dynamic simulations and ADMET analysis

被引:58
|
作者
Gajjar, Normi D. [1 ]
Dhameliya, Tejas M. [1 ]
Shah, Gaurang B. [1 ]
机构
[1] LM Coll Pharm, Ahmadabad 380009, Gujarat, India
关键词
RdRp; Mpro; SARS CoV-2; Natural products; Molecular docking; MD simulation; GENERAL FORCE-FIELD; DRUG DISCOVERY; BIOLOGICAL EVALUATION; CHEMOTYPES DESIGN;
D O I
10.1016/j.molstruc.2021.130488
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Corona Virus Disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome coronavirus (SARS CoV-2) has been declared a worldwide pandemic by WHO recently. The complete understanding of the complex genomic structure of SARS CoV-2 has enabled the use of computational tools in search of SARS CoV-2 inhibitors against the multiple proteins responsible for its entry and multiplication in human cells. With this endeavor, 177 natural, anti-viral chemical entities and their derivatives, selected through the critical analysis of the literatures, were studied using pharmacophore screening followed by molecular docking against RNA dependent RNA polymerase and main protease. The identified hits have been subjected to molecular dynamic simulations to study the stability of ligand-protein complexes followed by ADMET analysis and Lipinski filters to confirm their drug likeliness. It has led to an important start point in the drug discovery and development of therapeutic agents against SARS CoV-2. (c) 2021 Elsevier B.V. All rights reserved.
引用
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页数:10
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