Multidimensional in silico strategy for identification of natural polyphenols-based SARS-CoV-2 main protease (M

Computers in Biology and Medicine(2022)

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摘要
SARS-CoV-2, a rapidly spreading new strain of human coronavirus, has affected almost all the countries around the world. The lack of specific drugs against SARS-CoV-2 is a significant hurdle towards the successful treatment of COVID-19. Thus, there is an urgent need to boost up research for the development of effective therapeutics against COVID-19. In the current study, we investigated the efficacy of 81 medicinal plant-based bioactive compounds against SARS-CoV-2 M pro by using various in silico techniques. The interaction affinities of polyphenolic compounds towards SARS-CoV-2 M pro was assessed via intramolecular (by Quantum Mechanic), intermolecular (by Molecular Docking), and spatial (by Molecular Dynamic) simulations. Our obtained result demonstrate that Hesperidin, rutin, diosmin, and apiin are most effective compounds agents against SARS-CoV-2 Mpro as compared to Nelfinavir (positive control). This study will hopefully pave a way for advanced experimental research to evaluate the in vitro and in vivo efficacy of these compounds for the treatment of COVID-19. Display Omitted • The phenolics were investigated by molecular docking, quantum mechanic and molecular dynamic over SARS-CoV-2 M pro . • All phenolics that have good binding potency are components of dietary foods can be used for therapeutics against COVID-19. • Diosmin, Rutin, Hesperidin, and Apiin are available phenolics in nature and have inhibition potential SARS-CoV-2 M pro .
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关键词
COVID-19,SARS CoV-2 Mpro,Molecular docking,Molecular dynamics simulation,Quantum mechanic,Flavonoids
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