Exploring protein–ligand binding affinity prediction with electron density-based geometric deep learning
Clemens Isert, Kenneth Atz, Sereina Riniker, Gisbert Schneider · RSC Advances · 2024
A deep learning approach centered on electron density is suggested for predicting the binding affility between proteins and ligands. The approach is thoroughly assessed using various pertinent benchmarks.