Evidence map›Paper›PMID 22678091›Full record

ArticleJournal of biomolecular NMR2012

Resolution-by-proxy: a simple measure for assessing and comparing the overall quality of NMR protein structures.

Mark Berjanskii, Jianjun Zhou, Yongjie Liang, Guohui Lin, David S Wishart

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Article in Journal of biomolecular NMR, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Diversity, expression, and structural modeling of sugar transporters inFrontiers in cellular and infection microbiology · 2025
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  4. Tandem Mass Tagging (TMT) Reveals Tissue-Specific Proteome of L4 Larvae ofInternational journal of molecular sciences · 2022
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  13. Mollib: a molecular and NMR data analysis software.Journal of biomolecular NMR · 2017
    Article
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  15. Article
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  17. Article
  18. Resolution ofIUCrJ · 2016
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mark BerjanskiiDepartment of Computing Science, University of Alberta, Edmonton, AB, Canada.
Jianjun Zhou
Yongjie Liang
Guohui Lin
David S Wishart

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In protein X-ray crystallography, resolution is often used as a good indicator of structural quality. Diffraction resolution of protein crystals correlates well with the number of X-ray observables that are used in structure generation and, therefore, with protein coordinate errors. In protein NMR, there is no parameter identical to X-ray resolution. Instead, resolution is often used as a synonym of NMR model quality. Resolution of NMR structures is often deduced from ensemble precision, torsion angle normality and number of distance restraints per residue. The lack of common techniques to assess the resolution of X-ray and NMR structures complicates the comparison of structures solved by these two methods. This problem is sometimes approached by calculating "equivalent resolution" from structure quality metrics. However, existing protocols do not offer a comprehensive assessment of protein structure as they calculate equivalent resolution from a relatively small number (<5) of protein parameters. Here, we report a development of a protocol that calculates equivalent resolution from 25 measurable protein features. This new method offers better performance (correlation coefficient of 0.92, mean absolute error of 0.28 Å) than existing predictors of equivalent resolution. Because the method uses coordinate data as a proxy for X-ray diffraction data, we call this measure "Resolution-by-Proxy" or ResProx. We demonstrate that ResProx can be used to identify under-restrained, poorly refined or inaccurate NMR structures, and can discover structural defects that the other equivalent resolution methods cannot detect. The ResProx web server is available at http://www.resprox.ca.

Indexed as

AlgorithmsModels, MolecularNuclear Magnetic Resonance, BiomolecularCrystallography, X-RayProtein ConformationProteinsProteins

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Registered trials

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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.