Identification of saquinavir as a potent inhibitor of dimeric SARS-CoV2 main protease through MM/GBSA

Martiniano Bello, Alberto Martínez-Muñoz, Irving Balbuena-Rebolledo

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

Among targets selected for studies aimed at identifying potential inhibitors against COVID-19, SARS-CoV2 main proteinase (Mpro) is highlighted. Mpro is indispensable for virus replication and is a promising target of potential inhibitors of COVID-19. Recently, monomeric SARS-CoV2 Mpro, drug repurposing, and docking methods have facilitated the identification of several potential inhibitors. Results were refined through the assessment of dimeric SARS-CoV2 Mpro, which represents the functional state of enzyme. Docking and molecular dynamics (MD) simulations combined with molecular mechanics/generalized Born surface area (MM/GBSA) studies indicated that dimeric Mpro most significantly impacts binding affinity tendency compared with the monomeric state, which suggests that dimeric state is most useful when performing studies aimed at identifying drugs targeting Mpro. In this study, we extend previous research by performing docking and MD simulation studies coupled with an MM/GBSA approach to assess binding of dimeric SARS-CoV2 Mpro to 12 FDA-approved drugs (darunavir, indinavir, saquinavir, tipranavir, diosmin, hesperidin, rutin, raltegravir, velpatasvir, ledipasvir, rosuvastatin, and bortezomib), which were identified as the best candidates for the treatment of COVID-19 in some previous dockings studies involving monomeric SARS-CoV2 Mpro. This analysis identified saquinavir as a potent inhibitor of dimeric SARS-CoV2 Mpro; therefore, the compound may have clinical utility against COVID-19. [Figure not available: see fulltext.]

Original languageEnglish
Article number340
JournalJournal of Molecular Modeling
Volume26
Issue number12
DOIs
StatePublished - Dec 2020

Keywords

  • Docking
  • MD simulations
  • Protease
  • SARS-CoV2

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