Cargando…
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...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
|
| Materias: | |
| 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 |