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Potential COVID-19 Therapies from Computational Repurposing of Drugs and Natural Products against the SARS-CoV-2 Helicase

  • Sakshi Piplani
  • , Puneet Singh
  • , David A. Winkler
  • , Nikolai Petrovsky

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)
38 Downloads (Pure)

Abstract

Repurposing of existing drugs is a rapid way to find potential new treatments for SARS-CoV-2. Here, we applied a virtual screening approach using Autodock Vina and molecular dynamic simulation in tandem to screen and calculate binding energies of repurposed drugs against the SARS-CoV-2 helicase protein (non-structural protein nsp13). Amongst the top hits from our study were antivirals, antihistamines, and antipsychotics, plus a range of other drugs. Approximately 30% of our top 87 hits had published evidence indicating in vivo or in vitro SARS-CoV-2 activity. Top hits not previously reported to have SARS-CoV-2 activity included the antiviral agents, cabotegravir and RSV-604; the NK1 antagonist, aprepitant; the trypanocidal drug, aminoquinuride; the analgesic, antrafenine; the anticancer intercalator, epirubicin; the antihistamine, fexofenadine; and the anticoagulant, dicoumarol. These hits from our in silico SARS-CoV-2 helicase screen warrant further testing as potential COVID-19 treatments.

Original languageEnglish
Article number7704
Number of pages18
JournalInternational Journal of Molecular Sciences
Volume23
Issue number14
DOIs
Publication statusPublished - 2 Jul 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • antivirals
  • COVID-19
  • drug repurposing
  • helicase
  • molecular docking
  • molecular dynamics
  • SARS-CoV-2

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