Leakage-controlled benchmarking reveals generalization limits of deep learning for protein–ligand binding affinity prediction
To address widespread data leakage and inconsistent evaluation in protein–ligand affinity prediction, we introduce PLABench, a leakage-controlled and target-centric benchmarking framework that enables standardized comparison across sequence- and structure-based models. We benchmark nine deep learning methods across bli...