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Contrastive learning in protein language space predicts interactions between drugs and protein targets
Sequence-based prediction of drug–target interactions has the potential to accelerate drug discovery by complementing experimental screens. Such computational prediction needs to be generalizable and scalable while remaining sensitive to subtle variations in the inputs. However, current computationa...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10268324/ https://www.ncbi.nlm.nih.gov/pubmed/37289807 http://dx.doi.org/10.1073/pnas.2220778120 |