Alžbeta Kubincová

This study benchmarks active learning protocols for predicting ligand binding affinity using machine learning models and evaluates the impact of batch size and noise on performance.

The paper evaluates deep learning methods for predicting protein-ligand binding affinity by analyzing the impact of different encodings for proteins and ligands.