FunFOLD5: Combining Localised Templates and Structural Homology for Accurate Predictions of Biologically Relevant Protein-Ligand Interactions.
MOTIVATION A central challenge in protein-ligand modelling is to predict not only the presence of an interaction, but also the correct ligand identity, binding-site location, and biologically relevant bound conformation. While recent deep learning approaches such as AlphaFold3 and Boltz-2 have demonstrated impressive a...
Recep Adiyaman, L. McGuffin
· Bioinformatics · 0 citations