Hypothesis

Predicting ligand–receptor binding affinity remains a cornerstone of modern drug discovery, enabling the identification of potential therapeutic compounds with high potency and selectivity. We introduce a new, interpretable framework that decomposes the total affinity into a geometric component and an energetic correction. The geometric term is defined as a learnable functional over overlapping atomic density