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Mitigating cold-start problems in drug-target affinity prediction with interaction knowledge transferring
Predicting the drug-target interaction is crucial for drug discovery as well as drug repurposing. Machine learning is commonly used in drug-target affinity (DTA) problem. However, the machine learning model faces the cold-start problem where the model performance drops when predicting the interactio...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9353967/ https://www.ncbi.nlm.nih.gov/pubmed/35788823 http://dx.doi.org/10.1093/bib/bbac269 |