UnbiasedDTI: Mitigating Real-World Bias of Drug-Target Interaction Prediction by Using Deep Ensemble-Balanced Learning

Drug-target interaction (DTI) prediction through in vitro methods is expensive and time-consuming. On the other hand, computational methods can save time and money while enhancing drug discovery efficiency. Most of the computational methods frame DTI prediction as a binary classification task. One i...

Descripción completa

Detalles Bibliográficos
Autores principales: Tayebi, Aida, Yousefi, Niloofar, Yazdani-Jahromi, Mehdi, Kolanthai, Elayaraja, Neal, Craig J., Seal, Sudipta, Garibay, Ozlem Ozmen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100109/
https://www.ncbi.nlm.nih.gov/pubmed/35566330
http://dx.doi.org/10.3390/molecules27092980

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100109/
https://www.ncbi.nlm.nih.gov/pubmed/35566330
http://dx.doi.org/10.3390/molecules27092980

Ejemplares similares