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Identification of antiviral phytochemicals as a potential SARS-CoV-2 main protease (Mpro) inhibitor using docking and molecular dynamics simulations.
Patel, Chirag N; Jani, Siddhi P; Jaiswal, Dharmesh G; Kumar, Sivakumar Prasanth; Mangukia, Naman; Parmar, Robin M; Rawal, Rakesh M; Pandya, Himanshu A.
  • Patel CN; Department of Botany, Bioinformatics, and Climate Change Impacts Management, School of Sciences, Gujarat University, Ahmedabad, 380009, India.
  • Jani SP; Department of Botany, Bioinformatics, and Climate Change Impacts Management, School of Sciences, Gujarat University, Ahmedabad, 380009, India.
  • Jaiswal DG; Department of Botany, Bioinformatics, and Climate Change Impacts Management, School of Sciences, Gujarat University, Ahmedabad, 380009, India.
  • Kumar SP; Department of Botany, Bioinformatics, and Climate Change Impacts Management, School of Sciences, Gujarat University, Ahmedabad, 380009, India.
  • Mangukia N; Department of Botany, Bioinformatics, and Climate Change Impacts Management, School of Sciences, Gujarat University, Ahmedabad, 380009, India.
  • Parmar RM; BioInnovations, Bhayander (West), Mumbai, 401101, India.
  • Rawal RM; Department of Zoology, School of Sciences, Gujarat University, Ahmedabad, 380009, India.
  • Pandya HA; Department of Life Science, School of Sciences, Gujarat University, Ahmedabad, 380009, India.
Sci Rep ; 11(1): 20295, 2021 10 13.
Article in English | MEDLINE | ID: covidwho-1467129
ABSTRACT
Novel SARS-CoV-2, an etiological factor of Coronavirus disease 2019 (COVID-19), poses a great challenge to the public health care system. Among other druggable targets of SARS-Cov-2, the main protease (Mpro) is regarded as a prominent enzyme target for drug developments owing to its crucial role in virus replication and transcription. We pursued a computational investigation to identify Mpro inhibitors from a compiled library of natural compounds with proven antiviral activities using a hierarchical workflow of molecular docking, ADMET assessment, dynamic simulations and binding free-energy calculations. Five natural compounds, Withanosides V and VI, Racemosides A and B, and Shatavarin IX, obtained better binding affinity and attained stable interactions with Mpro key pocket residues. These intermolecular key interactions were also retained profoundly in the simulation trajectory of 100 ns time scale indicating tight receptor binding. Free energy calculations prioritized Withanosides V and VI as the top candidates that can act as effective SARS-CoV-2 Mpro inhibitors.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Phytochemicals / Coronavirus 3C Proteases / COVID-19 Drug Treatment Type of study: Etiology study / Prognostic study Topics: Traditional medicine Limits: Humans Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-99165-4

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Phytochemicals / Coronavirus 3C Proteases / COVID-19 Drug Treatment Type of study: Etiology study / Prognostic study Topics: Traditional medicine Limits: Humans Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-99165-4