Shaker Reddy

An Interpretable Deep Learning Framework with Dual-Modality Feature Fusion for Accurate Drug-Target Affinity Prediction

Accurately predicting binding affinities between drugs and targets is crucial for drug discovery but remains challenging due to the complexity of modeling interactions between small drug and large targets. This research presents Dual modality feature fused-drug target affinity (DMFF-DTA), a model for drug-target affini...