Jaiganesh G

HMVA-DDI predicts drug-drug interactions and their severity using a two-stage deep learning framework with improved attention mechanisms and task-specific features.

This paper introduces a graph transformer model for drug-target binding affinity prediction, showing improved performance on benchmark datasets.

XAttn-DTA predicts drug-target affinity using graph attention networks and cross-attention fusion, achieving improved performance on benchmark datasets.