GeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery

Abstract Background Accurately predicting drug-target binding affinity (DTA) in silico plays an important role in drug discovery. Most of the computational methods developed for predicting DTA use machine learning models, especially deep neural networks, and depend on large-scale labelled data. Howe...

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Detalhes bibliográficos

Principais autores:	Shaofu Lin, Chengyu Shi, Jianhui Chen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2022-09-01
coleção:	BMC Bioinformatics
Assuntos:	DTA prediction Pre-training task Multi-task learning Dual adaptation mechanism
Acesso em linha:	https://doi.org/10.1186/s12859-022-04905-6
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