How to approach machine learning-based prediction of drug/compound-target interactions.

Atas Guvenilir, Heval; Dogan, Tunca

Atas Guvenilir, Heval; Dogan, Tunca.

Afiliación

Atas Guvenilir H; Biological Data Science Laboratory, Department of Computer Engineering, Hacettepe University, Ankara, Turkey.
Dogan T; Department of Health Informatics, Graduate School of Informatics, METU, Ankara, Turkey.

J Cheminform ; 15(1): 16, 2023 Feb 06.

Article en En | MEDLINE | ID: mdl-36747300

Palabras clave

Benchmark analysis; Compound clustering; Drug discovery and repurposing; Drugtarget interaction prediction; Large-scale bioactivity datasets; Learned protein embeddings; Machine learning; Protein descriptors; Protein representation learning; Proteochemometric modelling

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Cheminform Año: 2023 Tipo del documento: Article País de afiliación: Turquía Pais de publicación: Reino Unido

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