DeepNC: a framework for drug-target interaction prediction with graph neural networks

The exploration of drug-target interactions (DTI) is an essential stage in the drug development pipeline. Thanks to the assistance of computational models, notably in the deep learning approach, scientists have been able to shorten the time spent on this stage. Widely practiced deep learning algorit...

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Detalles Bibliográficos
Autores principales: Tran, Huu Ngoc Tran, Thomas, J. Joshua, Ahamed Hassain Malim, Nurul Hashimah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107302/
https://www.ncbi.nlm.nih.gov/pubmed/35578674
http://dx.doi.org/10.7717/peerj.13163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107302/
https://www.ncbi.nlm.nih.gov/pubmed/35578674
http://dx.doi.org/10.7717/peerj.13163

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