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Capmatinib identified as a promising candidate for repurposing against Mpox via in silico screeningComputer models identify potential new drugs to fight Mpox

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Key Takeaway
Note that capmatinib is a computationally predicted candidate for Mpox, but requires experimental validation.

This guideline presents an in silico study utilizing structure-based multi-pocket virtual screening and molecular dynamics (MD) simulations to identify FDA-approved compounds that could target MPXV thymidylate kinase. The scope of the study focuses on identifying candidates with stable binding and favorable conformational dynamics.

In the virtual screening ranking, capmatinib (DB11791), nebivolol (DB04861), and tucatinib (DB11652) consistently ranked highly across multiple pockets. Subsequent MD simulations showed that all systems approached relatively stable conformational regimes after the initial phase. Specifically, capmatinib (DB11791) exhibited lower ligand RMSD and more stable pocket retention across independent simulations, adopting a more confined low-energy conformational state.

The authors note that experimental validation is required to confirm the antiviral activity of these candidates. Because the findings are based on computational predictions rather than clinical trials, the evidence for repurposing these drugs for Mpox is currently low. The study identifies capmatinib as a promising candidate for further investigation, but it does not confirm clinical efficacy.

How this fits prior evidence

This study addresses a gap in identifying potential pharmacological interventions for Mpox. While previous coverage noted that LC16m8 showed no mpox cases in a randomized controlled trial and a technical report validated an AI tool for classifying MPXV subclades, this study provides a computational framework for drug repurposing. It identifies capmatinib as a candidate, which was previously noted in a case report for off-label use in radiation-induced MET-fusion glioma.

When a new virus like Mpox spreads, finding effective treatments quickly is a major challenge. To speed up the process, researchers used computer modeling to see if existing, approved medications could be repurposed to fight the virus. This method allows scientists to test many options quickly in a virtual environment before moving to real-world testing.

The study used computer simulations to look at how certain drugs interact with a specific protein in the Mpox virus. They identified three drugs: capmatinib, nebivolol, and tucatinib. Among these, capmatinib showed the most stable results in the computer models, suggesting it might be a strong candidate for further study.

It is important to note that these results are based on computer simulations, not on human trials or lab tests. While these three drugs showed promise in the digital models, they are not yet proven to treat Mpox. More real-world testing is needed to confirm if these drugs actually work against the virus in people.

What this means for you:
Computer models identify capmatinib as a promising candidate for repurposing to treat Mpox.

Common questions

Are these drugs already proven to treat Mpox?

No, these drugs are not yet proven to treat Mpox. The findings are based on computer simulations, which are used to identify potential candidates for future study. More experimental testing is needed to confirm if these medications actually work against the virus in a clinical setting.

Which specific drugs showed the most promise in the study?

The study identified three drugs: capmatinib, nebivolol, and tucatinib. Among these, capmatinib performed particularly well in the computer models, showing more stable results and a stable pocket retention across different simulations.

What is the next step for these potential treatments?

Because these results come from computer models rather than human trials, the next step is experimental validation. Researchers must conduct physical lab tests to confirm if these compounds actually have antiviral activity against the Mpox virus.

Study Details

Study typeGuideline
EvidenceLevel 5
PublishedSep 2026
View Original Abstract ↓
BackgroundMpox, caused by monkeypox virus (MPXV), has emerged as a growing global health concern, yet effective targeted antiviral therapies remain limited. Thymidylate kinase (TMK), an essential enzyme required for viral DNA replication, represents a potential therapeutic target.MethodsWe established a structure-based drug repurposing workflow integrating multi-pocket virtual screening and molecular dynamics (MD) simulations. A curated library of FDA-approved compounds was screened across five predicted TMK binding pockets, followed by consensus ranking based on cross-pocket recurrence and docking scores. Top candidates were further evaluated using multiple independent MD simulations to assess binding stability and conformational dynamics.ResultsPhylogenetic and structural analyses indicated that MPXV TMK is highly conserved among orthopoxviruses while structurally distinct from the human homolog. Virtual screening identified several prioritized candidates, among which capmatinib (DB11791), nebivolol (DB04861), and tucatinib (DB11652) consistently ranked highly across multiple pockets. MD simulations showed that all systems approached relatively stable conformational regimes after the initial phase of the simulations. Notably, DB11791 exhibited lower ligand RMSD and more stable pocket retention across independent simulations. Free energy landscape analysis further suggested that DB11791 adopted a more confined low-energy conformational state compared to other candidates.ConclusionThese findings suggest that DB11791 may represent a promising TMK-targeting candidate. More broadly, the combined multi-pocket consensus screening and dynamic evaluation strategy provides a computational framework for antiviral drug repurposing. Further experimental validation is required to confirm the antiviral activity of these candidates.
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