BindingSite-AugmentedDTA: enabling a next-generation pipeline for interpretable prediction models in drug repurposing

While research into drug–target interaction (DTI) prediction is fairly mature, generalizability and interpretability are not always addressed in the existing works in this field. In this paper, we propose a deep learning (DL)-based framework, called BindingSite-AugmentedDTA, which improves drug–targ...

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Detalles Bibliográficos
Autores principales: Yousefi, Niloofar, Yazdani-Jahromi, Mehdi, Tayebi, Aida, Kolanthai, Elayaraja, Neal, Craig J, Banerjee, Tanumoy, Gosai, Agnivo, Balasubramanian, Ganesh, Seal, Sudipta, Ozmen Garibay, Ozlem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199763/
https://www.ncbi.nlm.nih.gov/pubmed/37096593
http://dx.doi.org/10.1093/bib/bbad136

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199763/
https://www.ncbi.nlm.nih.gov/pubmed/37096593
http://dx.doi.org/10.1093/bib/bbad136

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