title: On the reliability of peptide nonplanarity seen in ultra-high resolution crystal structures.
abstract: Ultra-high resolution protein crystal structures have been considered as relatively reliable sources for defining details of protein geometry, such as the extent to which the peptide unit deviates from planarity. Chellapa and Rose (Proteins 2015; 83:1687) recently called this into question, reporting that for a dozen representative protein structures determined at ∼ 1 Å resolution, the diffraction data could be equally well fit with models restrained to have highly planar peptides, i.e. having a standard deviation of the ω torsion angles of only ∼ 1° instead of the typically observed value of ∼ 6°. Here, we document both conceptual and practical shortcomings of that study and show that the more tightly restrained models are demonstrably incorrect and do not fit the diffraction data equally well. We emphasize the importance of inspecting electron density maps when investigating the agreement between a model and its experimental data. Overall, this report reinforces that modern standard refinement protocols have been well-conceived and that ultra-high resolution protein crystal structures, when evaluated carefully and used with an awareness of their levels of coordinate uncertainty, are powerful sources of information for providing reliable information about the details of protein geometry.
authors.affiliation: Department of Biochemistry and Biophysics, Oregon State University, Corvallis, 97331, Oregon.
authors.forename: Andrew E
authors.initials: AE
authors.lastname: Brereton
authors.affiliation: Department of Biochemistry and Biophysics, Oregon State University, Corvallis, 97331, Oregon.
authors.forename: P Andrew
authors.initials: PA
authors.lastname: Karplus
mesh_terms: D018360:Crystallography, X-Ray; D008958:Models, Molecular; D010455:Peptides / Q000737:chemistry*; D011487:Protein Conformation; D015203:Reproducibility of Results
chemical_list: D010455:Peptides
keywords: atomic resolution; model validation; peptide nonplanarity; phenix refinement; protein crystallography; protein geometry