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

14 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 arti-ficial 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. (c) 2023 The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/ 4.0/).
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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