DGDTA: dynamic graph attention network for predicting drug–target binding affinity

BACKGROUND: Obtaining accurate drug–target binding affinity (DTA) information is significant for drug discovery and drug repositioning. Although some methods have been proposed for predicting DTA, the features of proteins and drugs still need to be further analyzed. Recently, deep learning has been...

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Detalles Bibliográficos
Autores principales: Zhai, Haixia, Hou, Hongli, Luo, Junwei, Liu, Xiaoyan, Wu, Zhengjiang, Wang, Junfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543834/
https://www.ncbi.nlm.nih.gov/pubmed/37777712
http://dx.doi.org/10.1186/s12859-023-05497-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543834/
https://www.ncbi.nlm.nih.gov/pubmed/37777712
http://dx.doi.org/10.1186/s12859-023-05497-5

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