Drug-target interaction prediction using semi-bipartite graph model and deep learning

BACKGROUND: Identifying drug-target interaction is a key element in drug discovery. In silico prediction of drug-target interaction can speed up the process of identifying unknown interactions between drugs and target proteins. In recent studies, handcrafted features, similarity metrics and machine...

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Detalles Bibliográficos
Autores principales: Eslami Manoochehri, Hafez, Nourani, Mehrdad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336396/
https://www.ncbi.nlm.nih.gov/pubmed/32631230
http://dx.doi.org/10.1186/s12859-020-3518-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336396/
https://www.ncbi.nlm.nih.gov/pubmed/32631230
http://dx.doi.org/10.1186/s12859-020-3518-6

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