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Potential COVID-19 Therapies from Computational Repurposing of Drugs and Natural Products against the SARS-CoV-2 Helicase.
Piplani, Sakshi; Singh, Puneet; Winkler, David A; Petrovsky, Nikolai.
  • Piplani S; Vaxine Pty Ltd., 11 Walkley Avenue, Adelaide 5046, Australia.
  • Singh P; Vaxine Pty Ltd., 11 Walkley Avenue, Adelaide 5046, Australia.
  • Winkler DA; Biochemistry and Chemistry Department, La Trobe University, Kingsbury Drive, Melbourne 3086, Australia.
  • Petrovsky N; Monash Institute of Pharmaceutical Sciences, Monash University, Parkville 3052, Australia.
Int J Mol Sci ; 23(14)2022 Jul 12.
Article in English | MEDLINE | ID: covidwho-1938837
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biological Products / COVID-19 Drug Treatment Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: Ijms23147704

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biological Products / COVID-19 Drug Treatment Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: Ijms23147704