ArticleJournal of enzyme inhibition and medicinal chemistry2025
Molecular screening of natural compounds targeting KRAS(G12C): a multi-parametric strategy against acute lymphoblastic leukemia.
Article in Journal of enzyme inhibition and medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Decoding GuaB: Machine Learning-Powered Discovery of Enzyme Inhibitors Against the SuperbugPharmaceuticals (Basel, Switzerland) · 2025Article
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Authors and funding
6 authors.
Funding
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Abstract
Acute lymphoblastic leukaemia (ALL) is a highly aggressive hematological malignancy that necessitates safer, more effective therapies. This study applied a multi-parametric computational approach to identify KRAS (G12C) inhibitors from African natural product databases. Six lead compounds (NA/EA-1 to NA/EA-6) were identified via virtual screening, molecular docking, and induced-fit docking, all showing stronger binding affinities (-14.50 to -10.53 kcal/mol) than the reference inhibitor Sotorasib (-8.34 kcal/mol). These candidates exhibited favorable pharmacokinetic and physicochemical properties, minimal Lipinski's rule violations, and non-toxic ADMET profiles. Four top hits were subjected to 200 ns molecular dynamics simulations, with NA/EA-3 demonstrating the greatest stability, lowest RMSD, and strongest hydrogen bonding. MM/GBSA analysis confirmed NA/EA-3 as the most promising compound (ΔG
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