Computational guided identification of a citrus flavonoid as potential inhibitor of SARS-CoV-2 main protease

Although vaccine development is being undertaken at a breakneck speed, there is currently no effective antiviral drug for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing COVID-19. Therefore, the present study aims to explore the possibilities offered by naturally available and a...

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Veröffentlicht in:Molecular diversity 2021-08, Vol.25 (3), p.1745-1759
Hauptverfasser: Gogoi, Neelutpal, Chowdhury, Purvita, Goswami, Ashis Kumar, Das, Aparoop, Chetia, Dipak, Gogoi, Bhaskarjyoti
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container_end_page 1759
container_issue 3
container_start_page 1745
container_title Molecular diversity
container_volume 25
creator Gogoi, Neelutpal
Chowdhury, Purvita
Goswami, Ashis Kumar
Das, Aparoop
Chetia, Dipak
Gogoi, Bhaskarjyoti
description Although vaccine development is being undertaken at a breakneck speed, there is currently no effective antiviral drug for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing COVID-19. Therefore, the present study aims to explore the possibilities offered by naturally available and abundant flavonoid compounds, as a prospective antiviral drug to combat the virus. A library of 44 citrus flavonoids was screened against the highly conserved Main Protease (M pro ) of SARS-CoV-2 using molecular docking. The compounds which showed better CDocker energy than the co-crystal inhibitor of M pro were further revalidated by flexible docking within the active site; followed by assessment of drug likeness and toxicity parameters. The non-toxic compounds were further subjected to molecular dynamics simulation and predicted activity (IC 50 ) using 3D-QSAR analysis. Subsequently, hydrogen bonds and dehydration analysis of the best compound were performed to assess the binding affinity to M pro . It was observed that out of the 44 citrus flavonoids, five compounds showed lower binding energy with M pro than the co-crystal ligand. Moreover, these compounds also formed H-bonds with two important catalytic residues His41 and Cys145 of the active sites of M pro . Three compounds which passed the drug likeness filter showed stable conformation during MD simulations. Among these, the lowest predicted IC 50 value was observed for Taxifolin. Therefore, this study suggests that Taxifolin, could be a potential inhibitor against SARS-CoV-2 main protease and can be further analysed by in vitro and in vivo experiments for management of the ongoing pandemic. Graphic abstract
doi_str_mv 10.1007/s11030-020-10150-x
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Moreover, these compounds also formed H-bonds with two important catalytic residues His41 and Cys145 of the active sites of M pro . Three compounds which passed the drug likeness filter showed stable conformation during MD simulations. Among these, the lowest predicted IC 50 value was observed for Taxifolin. Therefore, this study suggests that Taxifolin, could be a potential inhibitor against SARS-CoV-2 main protease and can be further analysed by in vitro and in vivo experiments for management of the ongoing pandemic. 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subjects Biochemistry
Biomedical and Life Sciences
Citrus - chemistry
Coronavirus 3C Proteases - antagonists & inhibitors
Coronavirus 3C Proteases - chemistry
Coronavirus 3C Proteases - metabolism
Coronaviruses
COVID-19
Drug Discovery
Flavonoids
Flavonoids - metabolism
Flavonoids - pharmacology
Life Sciences
Molecular Docking Simulation
Organic Chemistry
Original
Original Article
Pharmacy
Polymer Sciences
Protease Inhibitors - metabolism
Protease Inhibitors - pharmacology
Protein Conformation
Quercetin - analogs & derivatives
Quercetin - metabolism
Quercetin - pharmacology
SARS-CoV-2 - drug effects
SARS-CoV-2 - enzymology
Severe acute respiratory syndrome coronavirus 2
title Computational guided identification of a citrus flavonoid as potential inhibitor of SARS-CoV-2 main protease
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