DTI-Voodoo: machine learning over interaction networks and ontology-based background knowledge predicts drug-target interactions.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Dec 11, 2021
Abstract
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 information to directly predict binding affinities. Both approaches can be combined with information about interaction networks.