MSGNN-DTA: Multi-Scale Topological Feature Fusion Based on Graph Neural Networks for Drug–Target Binding Affinity Prediction

The accurate prediction of drug–target binding affinity (DTA) is an essential step in drug discovery and drug repositioning. Although deep learning methods have been widely adopted for DTA prediction, the complexity of extracting drug and target protein features hampers the accuracy of these predict...

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Detalles Bibliográficos
Autores principales: Wang, Shudong, Song, Xuanmo, Zhang, Yuanyuan, Zhang, Kuijie, Liu, Yingye, Ren, Chuanru, Pang, Shanchen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10179712/
https://www.ncbi.nlm.nih.gov/pubmed/37176031
http://dx.doi.org/10.3390/ijms24098326

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10179712/
https://www.ncbi.nlm.nih.gov/pubmed/37176031
http://dx.doi.org/10.3390/ijms24098326

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