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NHGNN-DTA: a node-adaptive hybrid graph neural network for interpretable drug–target binding affinity prediction
MOTIVATION: Large-scale prediction of drug–target affinity (DTA) plays an important role in drug discovery. In recent years, machine learning algorithms have made great progress in DTA prediction by utilizing sequence or structural information of both drugs and proteins. However, sequence-based algo...
| 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/PMC10287904/ https://www.ncbi.nlm.nih.gov/pubmed/37252835 http://dx.doi.org/10.1093/bioinformatics/btad355 |