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Q-score as a reliability measure for protein, nucleic acid, and small molecule atomic coordinate models derived from 3DEM density maps
Open accessPreprint — published as 10.1107/s2059798325005923 · Paper page
Abstract
Atomic coordinate models are important in the interpretation of 3D maps produced with cryoEM and sub-tomogram averaging in cryoET, or more generically, 3D electron microscopy (3DEM). In addition to visual inspection of such maps and models, quantitative metrics convey the reliability of the atomic coordinates, in particular how well the model is supported by the experimentally determined 3DEM map. A recently introduced metric, Q-score, was shown to correlate well with the reported resolution of the map for well-fitted models. Here we present new statistical analyses of Q-scores based on its application to ∼10,000 maps and models archived in EMDB and PDB. Further we introduce two new metrics based on Q-score: Q-relative-all and Q-relative-resolution to compare a map and model to all entries in the EMDB and those with similar resolution respectively. We also explore through illustrative examples of proteins, nucleic acids, and small molecules how Q-scores can indicate whether the atomic coordinates are well-fitted to 3DEM maps and whether some parts of a map may be poorly resolved due to factors such as molecular flexibility, radiation damage, and/or conformational heterogeneity. Lastly, we show examples of how Q-scores can effectively be converted to atomic B-factors. These analyses provide a basis for how Q-scores can be interpreted effectively to evaluate 3DEM maps and atomic coordinate models prior to publication and archiving. Synopsis: Q-scores are calculated each atom in models fitted to 3DEM (3D electron microscopy) maps. They measure how well the model fits the map, and also reflect the quality of the map as they correlate to resolution. Here we develop a statistical model for Q-scores applied to many maps and models in the EMDB (Electron Microscopy Database) and PDB (Protein Data Bank) respectively, and show how it can be used to assess the reliability of entire models as well as their subcomponents.
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Metadata
- Authors
- Pintilie, G., Shao, C., Wang, Z., Hudson, B. P., Flatt, J. W., Schmid, M. F., Morris, K., Burley, S. K., & Chiu, W.
- Affiliations
- Stanford University (US)
- Rutgers, The State University of New Jersey (US)
- European Bioinformatics Institute (GB)
- SLAC National Accelerator Laboratory (US)
- Corresponding author
- Chiu, Wah
- ORCID
- Venue
- Acta Crystallographica Section D Structural Biology
- Publisher
- openRxiv
- Published
- 2025-01-15
- Volume
- 81
- Issue
- 8
- Pages
- 410-422
- ISSN
- 2059-7983 (ISSN-L)
- PMC
- PMC12315582
- OpenAlex
- W4412388667
- Cited by
- 21
- References
- 1
- Citations by year
- 2026: 16 · 2025: 5
- FWCI
- 7.53
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Acta Crystallographica Section D Structural Biology (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by)
- Funders
- Wellcome Trust (212977/Z/18/Z)
- National Institutes of Health (1r24gm154186-01)
- Directorate for Biological Sciences (DBI-2321666)
- Office of Science (DESC0019749)
- National Institute of General Medical Sciences (R24 GM154186, P41GM103311, R01GM129325, R01GM157729)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Advanced Electron Microscopy Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Keywords
- Q-score, model reliability, map resolution, EMDB, conformational heterogeneity, radiation damage, molecular flexibility, nucleic acid models
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