CAT-CPI: Combining CNN and transformer to learn compound image features for predicting compound-protein interactions

Compound-protein interaction (CPI) prediction is a foundational task for drug discovery, which process is time-consuming and costly. The effectiveness of CPI prediction can be greatly improved using deep learning methods to accelerate drug development. Large number of recent research results in the...

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Detalles Bibliográficos
Autores principales: Qian, Ying, Wu, Jian, Zhang, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Molecular Biosciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520300/
https://www.ncbi.nlm.nih.gov/pubmed/36188230
http://dx.doi.org/10.3389/fmolb.2022.963912

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520300/
https://www.ncbi.nlm.nih.gov/pubmed/36188230
http://dx.doi.org/10.3389/fmolb.2022.963912

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