ArticleMedicinal chemistry (Shariqah (United Arab Emirates))2025
Identification of Potential FDA-Approved Inhibitors of SARS-CoV-2 Helicase Through a Multistep
Article in Medicinal chemistry (Shariqah (United Arab Emirates)), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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Who cites it
1 citing paper in PubMed.
- AI-driven drug-target interaction prediction: current progress, challenges, and future roadmap for precision medicine.Journal of computer-aided molecular design · 2026Review
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Authors and funding
5 authors.
Funding
Abstract
introductionIn this research aiming at combating COVID-19, we employed advanced computer-based methods to identify potential inhibitors of SARS-CoV-2 helicase from a pool of 3009 clinical and FDA-approved drugs.
methodsTo narrow down the candidates, we focused on VXG, the helicase's co-crystallized ligand, and sought compounds with chemical structures akin to VXG within the examined drugs. The initial phase of our study involved molecular fingerprinting in addition to structure similarity studies.
resultsOnce the compounds most closely resembling VXG (29 compounds) were identified, we conducted various studies to investigate and validate the binding potential of these selected compounds to the protein's active site. The subsequent phase included molecular docking, molecular dynamic (MD) simulations, and MM-PBSA studies against the SARS-CoV-2 helicase (PDB ID: 5RMM).
conclusionBased on our analyses, we identified nine compounds with promising potential as SARS-CoV-2 helicase inhibitors, namely aniracetam, aspirin, chromocarb, cinnamic acid, lawsone, loxoprofen, phenylglyoxylic acid, and antineoplaston A10. The findings of this research help the scientific community to further investigate these compounds, both
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.