Building explainable graph neural network by sparse learning for the drug-protein binding prediction
Yang Wang, Zanyu Shi, Pathum Manjula Weerawarna, Kun Huang, Timothy I. Richardson, Yijie Wang
This paper introduces SLGNN, a sparse learning approach for drug-protein binding prediction that identifies chemically valid key structures with better predictive power than existing methods.
Journal of Computational Biology · Jun 12, 2025Peer-reviewedBioinformatics