Graph Convolutional Networks for Prediction of Protein-Ligand Binding Affinity From Molecular Graph Representations
This study investigates graph convolutional network prediction of protein-ligand binding affinity within the context of computational chemistry and machine learning for drug discovery, an area of growing scientific importance given its implications for virtual screening pipelines and lead optimization in pharmaceutical...