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DeSIDE-DDI: interpretable prediction of drug-drug interactions using drug-induced gene expressions

Eunyoung Kim, Hojung Nam
We propose a deep learning-based framework for DDI prediction with drug-induced gene expression signatures so that the model can provide the expression level of interpretability for DDIs.  ...  In conclusion, using drug-induced gene expression signatures followed by gating and translating embedding can increase DDI prediction accuracy while providing model interpretability.  ...  To address these issues, we developed a deep-learning strategy for interpretable prediction of DDIs that leverages drug-induced gene expression signatures (DeSIDE-DDI).  ... 
doi:10.1186/s13321-022-00589-5 pmid:35246258 pmcid:PMC8895921 fatcat:7kwd7uxihjfudlgyco2zqfsphy