2024
DOI: 10.1111/cbdd.14591
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Leveraging binding pose metadynamics to optimise target fishing predictions for three diverse ligands and their true targets

Mei Qian Yau,
Angeline J. Wan,
Aaron S. H. Tiong
et al.

Abstract: Computational target fishing plays an important role in target identification, particularly in drug discovery campaigns utilizing phenotypic screening. Numerous approaches exist to predict potential targets for a given ligand, but true targets may be inconsistently ranked. More advanced simulation methods may provide benefit in such cases by reranking these initial predictions. We evaluated the ability of binding pose metadynamics to improve the predicted rankings for three diverse ligands and their six true t… Show more

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