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Computationally repurposed drugs and natural products against RNA dependent RNA polymerase as potential COVID-19 therapies.
Piplani, Sakshi; Singh, Puneet Kumar; Winkler, David A; Petrovsky, Nikolai.
  • Piplani S; College of Medicine and Public Health, Flinders University, Bedford Park, 5046 Australia.
  • Singh PK; Vaxine Pty Ltd, 11 Walkley Avenue, Warradale, 5046 Australia.
  • Winkler DA; Vaxine Pty Ltd, 11 Walkley Avenue, Warradale, 5046 Australia.
  • Petrovsky N; School of Biochemistry and Genetics, La Trobe University, Bundoora, 3086 Australia.
Mol Biomed ; 2(1): 28, 2021.
Article in English | MEDLINE | ID: covidwho-1515464
ABSTRACT
Repurposing of existing drugs and drug candidates is an ideal approach to identify new potential therapies for SARS-CoV-2 that can be tested without delay in human trials of infected patients. Here we applied a virtual screening approach using Autodock Vina and molecular dynamics simulation in tandem to calculate binding energies for repurposed drugs against the SARS-CoV-2 RNA-dependent RNA polymerase (RdRp). We thereby identified 80 promising compounds with potential activity against SARS-Cov2, consisting of a mixture of antiviral drugs, natural products and drugs with diverse modes of action. A substantial proportion of the top 80 compounds identified in this study had been shown by others to have SARS-CoV-2 antiviral effects in vitro or in vivo, thereby validating our approach. Amongst our top hits not previously reported to have SARS-CoV-2 activity, were eribulin, a macrocyclic ketone analogue of the marine compound halichondrin B and an anticancer drug, the AXL receptor tyrosine kinase inhibitor bemcentinib. Our top hits from our RdRp drug screen may not only have utility in treating COVID-19 but may provide a useful starting point for therapeutics against other coronaviruses. Hence, our modelling approach successfully identified multiple drugs with potential activity against SARS-CoV-2 RdRp. Supplementary Information The online version contains supplementary material available at 10.1186/s43556-021-00050-3.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Mol Biomed Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Mol Biomed Year: 2021 Document Type: Article