BiMA-DTI: a bidirectional Mamba-Attention hybrid framework for enhanced drug-target interaction prediction

BiMA-DTI demonstrates its potential to discover new drugs, offering a powerful tool for drug discovery. Experimental results show that BiMA-DTI outperforms state-of-the-art competing methods on benchmark datasets. Additionally, ablation experiments validate the rationality of BiMA-DTI's architecture and its generalization ability. Visualization studies provide interpretability of biological mechanisms. Finally, case studies further confirm that BiMA-DTI is a reliable drug-target interaction prediction tool.