Camila de Magalhães

Data-centric training enables meaningful interaction learning in protein-ligand binding affinity prediction

Predicting protein–ligand binding affinity remains a fundamental challenge in drug discovery, where deep learning models have become central. However, these models often struggle with protein and ligand biases, and their generalization to unseen targets remains limited. Here, we...