iGRLDTI: an improved graph representation learning method for predicting drug–target interactions over heterogeneous biological information network

MOTIVATION: The task of predicting drug–target interactions (DTIs) plays a significant role in facilitating the development of novel drug discovery. Compared with laboratory-based approaches, computational methods proposed for DTI prediction are preferred due to their high-efficiency and low-cost ad...

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Detalles Bibliográficos
Autores principales: Zhao, Bo-Wei, Su, Xiao-Rui, Hu, Peng-Wei, Huang, Yu-An, You, Zhu-Hong, Hu, Lun
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/PMC10397422/
https://www.ncbi.nlm.nih.gov/pubmed/37505483
http://dx.doi.org/10.1093/bioinformatics/btad451

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10397422/
https://www.ncbi.nlm.nih.gov/pubmed/37505483
http://dx.doi.org/10.1093/bioinformatics/btad451

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