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 language | English |
|---|---|
| Pages (from-to) | 799-807 |
| Number of pages | 9 |
| Journal | Journal of Infection and Public Health |
| Volume | 16 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - May 2023 |
Keywords
- Deep learning
- DeepRepurpose
- Double-stranded DNA
- Metadynamics
- Molecular docking and binding pose
- Monkeypox virus
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