Transfer learning for drug–target interaction prediction

MOTIVATION: Utilizing AI-driven approaches for drug–target interaction (DTI) prediction require large volumes of training data which are not available for the majority of target proteins. In this study, we investigate the use of deep transfer learning for the prediction of interactions between drug...

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Detalles Bibliográficos
Autores principales: Dalkıran, Alperen, Atakan, Ahmet, Rifaioğlu, Ahmet S, Martin, Maria J, Atalay, Rengül Çetin, Acar, Aybar C, Doğan, Tunca, Atalay, Volkan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Biomedical Informatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311347/
https://www.ncbi.nlm.nih.gov/pubmed/37387156
http://dx.doi.org/10.1093/bioinformatics/btad234

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311347/
https://www.ncbi.nlm.nih.gov/pubmed/37387156
http://dx.doi.org/10.1093/bioinformatics/btad234

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