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DataDTA: a multi-feature and dual-interaction aggregation framework for drug–target binding affinity prediction
MOTIVATION: Accurate prediction of drug–target binding affinity (DTA) is crucial for drug discovery. The increase in the publication of large-scale DTA datasets enables the development of various computational methods for DTA prediction. Numerous deep learning-based methods have been proposed to pre...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516524/ https://www.ncbi.nlm.nih.gov/pubmed/37688568 http://dx.doi.org/10.1093/bioinformatics/btad560 |