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Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction
Recent advances and achievements of artificial intelligence (AI) as well as deep and graph learning models have established their usefulness in biomedical applications, especially in drug-drug interactions (DDIs).
SSI–DDI: Substructure–Substructure Interactions for Drug–Drug Interaction Prediction
A major concern with co-administration of different drugs is the high risk of interference between their mechanisms of action, known as adverse drug–drug interactions (DDIs), which can cause serious injuries to the organism.
Ranked #2 on
Drug–drug Interaction Extraction
on DrugBank
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