Blazing-fast, high-accuracy drug-protein docking with EquiBind Geometric Deep Learning
This week we discuss a new paper from the creators and authors of EquiDock [see our related blog on EquiDock that explores “Independent SE[3] Equivariant Models for End-to-End Rigid Docking”]. Today’s discussion relates to EQUIBIND: Geometric Deep Learning for Drug Binding Structure Prediction EquiBind differs from EquiDock in its flexible ligand modeling. Whereas EquiDock performs rigid protein-protein docking, EquiBind allows […]