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

Autor: Chirag N. Patel, Raghvendra Mall, Halima Bensmail
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Journal of Infection and Public Health, Vol 16, Iss 5, Pp 799-807 (2023)
Druh dokumentu: article
ISSN: 1876-0341
DOI: 10.1016/j.jiph.2023.03.007
Popis: 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.
Databáze: Directory of Open Access Journals