Completion of partial structures using Patterson maps with the CrysFormer machine learning model

We integrate existing machine learning-based protein structure-prediction methods with X-ray crystallography by completing partial structures derived from AlphaFold predictions and the corresponding Patterson map information. The CrysFormer results are promising when applied to an initial data set of 15-residue fragments in P21 unit cells.