DTI-Voodoo: machine learning over interaction networks and ontology-based background knowledge predicts drug–target interactions

MOTIVATION: In silico drug–target interaction (DTI) prediction is important for drug discovery and drug repurposing. Approaches to predict DTIs can proceed indirectly, top-down, using phenotypic effects of drugs to identify potential drug targets, or they can be direct, bottom-up and use molecular i...

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Detalles Bibliográficos
Autores principales: Hinnerichs, Tilman, Hoehndorf, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665763/
https://www.ncbi.nlm.nih.gov/pubmed/34320178
http://dx.doi.org/10.1093/bioinformatics/btab548

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665763/
https://www.ncbi.nlm.nih.gov/pubmed/34320178
http://dx.doi.org/10.1093/bioinformatics/btab548

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