2 citations · 3 across the 2 of their papers we have counts for
4 papers
Learning to Discover Medicines
Tri Minh Nguyen, Thin Nguyen, Truyen Tran
Discovering new medicines is the hallmark of human endeavor to live a better and longer life. Yet the pace of discovery has slowed down as we need to venture into more wildly unexp…
Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferring
Tri Minh Nguyen, Thin Nguyen, Truyen Tran
Motivation: Predicting the drug-target interaction is crucial for drug discovery as well as drug repurposing. Machine learning is commonly used in drug-target affinity (DTA) proble…
Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction
Tri Minh Nguyen, Thomas P Quinn, Thin Nguyen +1
Motivation: Many high-performance DTA models have been proposed, but they are mostly black-box and thus lack human interpretability. Explainable AI (XAI) can make DTA models more t…
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction
Tri Minh Nguyen, Thin Nguyen, Thao Minh Le +1
Predicting the interaction between a compound and a target is crucial for rapid drug repurposing. Deep learning has been successfully applied in drug-target affinity (DTA) problem.…