BioinformaticsJournal of Chemical Information and ModelingPeer-reviewed
Explainability methods from machine learning detect important drugs' atoms in drug-target interactions
Mrinal Mahindran, Qingyuan Liu, Vishak Madhwaraj Kadambalithaya, Olga V. Kalinina
The paper evaluates XAI methods on GNNs for DTI prediction, finding that consensus attributions highlight atoms in binding pockets relevant to drug-target interactions.