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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...

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Detalles Bibliográficos
Autores principales:	He, Haohuai, Chen, Guanxing, Chen, Calvin Yu-Chian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2023
Materias:	Original Paper
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

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