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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2021
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| 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 |