Marine Drugs (Jul 2021)

Blue Biotechnology: Computational Screening of <i>Sarcophyton</i> Cembranoid Diterpenes for SARS-CoV-2 Main Protease Inhibition

  • Mahmoud A. A. Ibrahim,
  • Alaa H. M. Abdelrahman,
  • Mohamed A. M. Atia,
  • Tarik A. Mohamed,
  • Mahmoud F. Moustafa,
  • Abdulrahim R. Hakami,
  • Shaden A. M. Khalifa,
  • Fahad A. Alhumaydhi,
  • Faris Alrumaihi,
  • Syed Hani Abidi,
  • Khaled S. Allemailem,
  • Thomas Efferth,
  • Mahmoud E. Soliman,
  • Paul W. Paré,
  • Hesham R. El-Seedi,
  • Mohamed-Elamir F. Hegazy

DOI
https://doi.org/10.3390/md19070391
Journal volume & issue
Vol. 19, no. 7
p. 391

Abstract

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The coronavirus pandemic has affected more than 150 million people, while over 3.25 million people have died from the coronavirus disease 2019 (COVID-19). As there are no established therapies for COVID-19 treatment, drugs that inhibit viral replication are a promising target; specifically, the main protease (Mpro) that process CoV-encoded polyproteins serves as an Achilles heel for assembly of replication-transcription machinery as well as down-stream viral replication. In the search for potential antiviral drugs that target Mpro, a series of cembranoid diterpenes from the biologically active soft-coral genus Sarcophyton have been examined as SARS-CoV-2 Mpro inhibitors. Over 360 metabolites from the genus were screened using molecular docking calculations. Promising diterpenes were further characterized by molecular dynamics (MD) simulations based on molecular mechanics-generalized Born surface area (MM-GBSA) binding energy calculations. According to in silico calculations, five cembranoid diterpenes manifested adequate binding affinities as Mpro inhibitors with ΔGbinding Sarcophyton inhibitor, bislatumlide A (340), was compared to darunavir, an HIV protease inhibitor that has been recently subjected to clinical-trial as an anti-COVID-19 drug. In silico analysis indicates that 340 has a higher binding affinity against Mpro than darunavir with ΔGbinding values of −43.8 and −34.8 kcal/mol, respectively throughout 100 ns MD simulations. Drug-likeness calculations revealed robust bioavailability and protein-protein interactions were identified for 340; biochemical signaling genes included ACE, MAPK14 and ESR1 as identified based on a STRING database. Pathway enrichment analysis combined with reactome mining revealed that 340 has the capability to re-modulate the p38 MAPK pathway hijacked by SARS-CoV-2 and antagonize injurious effects. These findings justify further in vivo and in vitro testing of 340 as an antiviral agent against SARS-CoV-2.

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