title: Cross-crystal averaging with search models to improve molecular replacement phases.
abstract: The application of molecular replacement (MR) in macromolecular crystallography can be limited by the "model bias" problem. Here we propose a strategy to reduce model bias when only part of a new structure is known: after the MR search, structure determination of the unknown part of the new structure can be facilitated by cross-crystal averaging of the known part of the new structure with the search model. This strategy dramatically improves electron density in the unknown part of the new structure. It has enabled us to determine the structures of two coronavirus receptor-binding domains each complexed with their receptor at moderate resolutions. In a test case, it also enabled automated model building when >50% of an antigen-antibody complex was absent. These results suggest that this averaging strategy can be routinely used after MR to enhance the interpretability of electron density associated with missing model.
authors.affiliation: Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO 63110, USA.
authors.forename: Weikai
authors.initials: W
authors.lastname: Li
authors.forename: Fang
authors.initials: F
authors.lastname: Li
mesh_terms: D000465:Algorithms; D000936:Antigen-Antibody Complex / Q000378:metabolism; D001665:Binding Sites; D017934:Coronavirus / Q000378:metabolism*; D018352:Coronavirus Infections; D003460:Crystallization; D018360:Crystallography, X-Ray / Q000379:methods*; D004583:Electrons; D006801:Humans; D008958:Models, Molecular; D008968:Molecular Conformation; D011485:Protein Binding; D000085064:Receptors, Coronavirus; D011991:Receptors, Virus / Q000378:metabolism*
chemical_list: D000936:Antigen-Antibody Complex; D000085064:Receptors, Coronavirus; D011991:Receptors, Virus