Showing 3 of 3 projects
A deep learning library for drug-target interaction, drug property, protein-protein interaction, drug-drug interaction, and protein function prediction in bioinformatics.
A transformer-based model for predicting drug-target interactions using substructural pattern mining and augmented transformer encoders.
A computational pipeline that predicts drug-target interactions by learning low-dimensional vector representations from heterogeneous biological networks.
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