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LEP-AD: language embedding of proteins and attention to drugs predicts drug-target interactions

Abstract Introduction Predicting drug–target interactions remains a significant challenge in drug development and lead optimization. Recent advances have leveraged machine learning algorithms to model drug–target interactions from molecular and sequence data. Materials and Methods In this work, we u...

Täydet tiedot

Tallennettuna:
Päätekijät: Reem Alsulami, Robert Lehmann, Anuj Daga, Sumeer A. Khan, Raik Grünberg, Ahmed Abogosh, David Gomez Cabrero, Stefan T. Arold, Robert Hoehndorf, Jesper Tegner, Narsis A. Kiani
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BMC 2026-04-01
Sarja:Journal of Cheminformatics
Aiheet:
Drug target affinity
DTI
Drug discovery
Binding affinity
ESM
GAT
Linkit:https://doi.org/10.1186/s13321-026-01167-9
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