ArticleActa crystallographica. Section D, Biological crystallography2014
Metrics for comparison of crystallographic maps.
Article in Acta crystallographica. Section D, Biological crystallography, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
21 citing papers in PubMed.
- Comment on Photosystem II: light-dependent oscillation of ligand composition at its active site: existence of O6 in SActa crystallographica. Section D, Structural biology · 2026Article
- Variable Resolution Maps (VRM) in CCTBX and Phenix: Accounting For Local Resolution In cryoEM.bioRxiv : the preprint server for biology · 2026Article
- Explicit correction of severely non-uniform distributions of cryo-EM views.Acta crystallographica. Section D, Structural biology · 2026Article
- Labeled dataset of X-ray protein ligand images in 3D point cloud and validated deep learning models.Scientific data · 2025Article
- Structural basis for partial agonism in 5-HTNature structural & molecular biology · 2024Article
- Diffraction anisotropy and paired refinement: crystal structure of H33, a protein binder to interleukin 10.Journal of applied crystallography · 2023Article
- Analytic modeling of inhomogeneous-resolution maps in cryo-electron microscopy and crystallography.IUCrJ · 2022Article
- Theoretical 3D electron diffraction electrostatic potential maps of proteins modeled with a multipolar pseudoatom data bank.Acta crystallographica. Section D, Structural biology · 2022Article
- Density modification of cryo-EM maps.Acta crystallographica. Section D, Structural biology · 2020Article
- Improvement of cryo-EM maps by density modification.Nature methods · 2020Article
- The use of local structural similarity of distant homologues for crystallographic model building from a molecular-replacement solution.Acta crystallographica. Section D, Structural biology · 2020Article
- What are the current limits on determination of protonation state using neutron macromolecular crystallography?Methods in enzymology · 2020Article
- Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix.Acta crystallographica. Section D, Structural biology · 2019Article
- New tools for the analysis and validation of cryo-EM maps and atomic models.Acta crystallographica. Section D, Structural biology · 2018Article
- Real-space refinement in PHENIX for cryo-EM and crystallography.Acta crystallographica. Section D, Structural biology · 2018Article
- Automated map sharpening by maximization of detail and connectivity.Acta crystallographica. Section D, Structural biology · 2018Article
- Refining the macromolecular model - achieving the best agreement with the data from X-ray diffraction experiment.Crystallography reviews · 2018Article
- Conformational energy range of ligands in protein crystal structures: The difficult quest for accurate understanding.Journal of molecular recognition : JMR · 2017Review
- Polder maps: improving OMIT maps by excluding bulk solvent.Acta crystallographica. Section D, Structural biology · 2017Article
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Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Numerical comparison of crystallographic contour maps is used extensively in structure solution and model refinement, analysis and validation. However, traditional metrics such as the map correlation coefficient (map CC, real-space CC or RSCC) sometimes contradict the results of visual assessment of the corresponding maps. This article explains such apparent contradictions and suggests new metrics and tools to compare crystallographic contour maps. The key to the new methods is rank scaling of the Fourier syntheses. The new metrics are complementary to the usual map CC and can be more helpful in map comparison, in particular when only some of their aspects, such as regions of high density, are of interest.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.