Evidence map›Paper›PMID 15965733›Full record

ArticleJournal of structural and functional genomics2005

A test of enhancing model accuracy in high-throughput crystallography.

W Bryan Arendall, Wolfram Tempel, Jane S Richardson, Weihong Zhou, Shuren Wang, Ian W Davis, Zhi-Jie Liu, John P Rose, W Michael Carson, Ming Luo and 2 more

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PubMed Publisher
In one paragraph

Article in Journal of structural and functional genomics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Model validation: local diagnosis, correction and when to quit.Acta crystallographica. Section D, Structural biology · 2018
    Article
  6. Article
  7. Article
  8. Quality assessment of protein NMR structures.Current opinion in structural biology · 2013
    Review
  9. Recommendations of the wwPDB NMR Validation Task Force.Structure (London, England : 1993) · 2013
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. PHENIX: a comprehensive Python-based system for macromolecular structure solution.Acta crystallographica. Section D, Biological crystallography · 2010
    Article
  18. MolProbity: all-atom structure validation for macromolecular crystallography.Acta crystallographica. Section D, Biological crystallography · 2010
    Article
  19. Article
  20. Article
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

12 authors.

W Bryan ArendallDepartment of Biochemistry, Duke University Medical Center, Durham, NC 27710-3711, USA.
Wolfram Tempel
Jane S Richardson
Weihong Zhou
Shuren Wang
Ian W Davis
Zhi-Jie Liu
John P Rose
W Michael Carson
Ming Luo
David C Richardson
Bi-Cheng Wang

Funding

All-Atom Contact Analysis In Improving Structure QualityR01GM061302 · NIGMS · DUKE UNIVERSITY · PI RICHARDSON, JANE S. · 2001 to 2002
$227k
NIGMS NIH HHS GM-15000NIGMS NIH HHS GM-61302PHS HHS P50-62407
6 · The paper itself

Abstract

The high throughput of structure determination pipelines relies on increased automation and, consequently, a reduction of time spent on interactive quality control. In order to meet and exceed current standards in model accuracy, new approaches are needed for the facile identification and correction of model errors during refinement. One such approach is provided by the validation and structure-improvement tools of the MOL: PROBITY: web service. To test their effectiveness in high-throughput mode, a large subset of the crystal structures from the SouthEast Collaboratory for Structural Genomics (SECSG) has used protocols based on the MOL: PROBITY: tools. Comparison of 29 working-set and 19 control-set SECSG structures shows that working-set outlier scores for updated Ramachandran-plot, sidechain rotamer, and all-atom steric criteria have been improved by factors of 5- to 10-fold (relative to the control set or to a Protein Data Bank sample), while quality of covalent geometry, R(work), R(free), electron density and difference density are maintained or improved. Some parts of this correction process are already fully automated; other parts involve manual rebuilding of conformations flagged by the tests as trapped in the wrong local minimum, often altering features of functional significance. The ease and effectiveness of this technique shows that macromolecular crystal structures from either traditional or high-throughput determinations can feasibly reach a new level of excellence in conformational accuracy and reliability.

Indexed as

Crystallography, X-RayDatabases, ProteinProteinsProteins

Identifiers

What OpenQuestion holds

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Registered trials

None linked

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.