Addressing Model Overcomplexity in Drug-Drug Interaction Prediction With Molecular Fingerprints

Manel Gil-Sorribes, Alexis Molina

Accurately predicting drug-drug interactions (DDIs) is crucial for pharmaceutical research and clinical safety. Recent deep learning models often suffer from high computational cos…