FuseMine: Robust Multi-Modal Compound-Protein Interaction Prediction via Differential Attention Feature Mining
Accurate prediction of compound protein interactions (CPIs) is crucial for drug discovery. However, existing deep learning-based methods suffer from hidden biases and poor cross-domain generalization, leading to spurious correlations and inadequate representation of unseen compound-protein pairs.