AI-driven drug repurposing and binding pose meta dynamics identifies novel targets for monkeypox virus

Chirag N. Patel, Raghvendra Mall*, Halima Bensmail*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

Monkeypox virus (MPXV) was confirmed in May 2022 and designated a global health emergency by WHO in July 2022. MPX virions are big, enclosed, brick-shaped, and contain a linear, double-stranded DNA genome as well as enzymes. MPXV particles bind to the host cell membrane via a variety of viral-host protein interactions. As a result, the wrapped structure is a potential therapeutic target. DeepRepurpose, an artificial intelligence-based compound-viral proteins interaction framework, was used via a transfer learning setting to prioritize a set of FDA approved and investigational drugs which can potentially inhibit MPXV viral proteins. To filter and narrow down the lead compounds from curated collections of pharmaceutical compounds, we used a rigorous computational framework that included homology modeling, molecular docking, dynamic simulations, binding free energy calculations, and binding pose metadynamics. We identified Elvitegravir as a potential inhibitor of MPXV virus using our comprehensive pipeline.

Original languageEnglish
Pages (from-to)799-807
Number of pages9
JournalJournal of Infection and Public Health
Volume16
Issue number5
DOIs
Publication statusPublished - May 2023

Keywords

  • Deep learning
  • DeepRepurpose
  • Double-stranded DNA
  • Metadynamics
  • Molecular docking and binding pose
  • Monkeypox virus

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