Decoding Molecular Binding Equilibria through Uncertainty-Aware Memory Retrieval
While accurate drug-target affinity prediction accelerates drug discovery, prevailing deep learning approaches are often bottlenecked by poor generalization and an inability to quantify prediction confidence. Here, we introduce CogNet-DTA, a novel memory-augmented framework that synergizes historical binding priors w...