Evidence map›Paper›PMID 20446018›Full record

ArticleJournal of biomolecular NMR2010

A probabilistic approach for validating protein NMR chemical shift assignments.

Bowei Wang, Yunjun Wang, David S Wishart

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Article in Journal of biomolecular NMR, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. AutomaticJournal of biomolecular NMR · 2018
    Article
  6. Article
  7. Validation of Structures in the Protein Data Bank.Structure (London, England : 1993) · 2017
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Quality assessment of protein NMR structures.Current opinion in structural biology · 2013
    Review
  16. Recommendations of the wwPDB NMR Validation Task Force.Structure (London, England : 1993) · 2013
    Article
  17. Article
  18. 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

3 authors.

Bowei WangShanghai American School Pudong, 201201, San Jia Gang, Pudong, Shanghai, People's Republic of China.
Yunjun Wang
David S Wishart

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been estimated that more than 20% of the proteins in the BMRB are improperly referenced and that about 1% of all chemical shift assignments are mis-assigned. These statistics also reflect the likelihood that any newly assigned protein will have shift assignment or shift referencing errors. The relatively high frequency of these errors continues to be a concern for the biomolecular NMR community. While several programs do exist to detect and/or correct chemical shift mis-referencing or chemical shift mis-assignments, most can only do one, or the other. The one program (SHIFTCOR) that is capable of handling both chemical shift mis-referencing and mis-assignments, requires the 3D structure coordinates of the target protein. Given that chemical shift mis-assignments and chemical shift re-referencing issues should ideally be addressed prior to 3D structure determination, there is a clear need to develop a structure-independent approach. Here, we present a new structure-independent protocol, which is based on using residue-specific and secondary structure-specific chemical shift distributions calculated over small (3-6 residue) fragments to identify mis-assigned resonances. The method is also able to identify and re-reference mis-referenced chemical shift assignments. Comparisons against existing re-referencing or mis-assignment detection programs show that the method is as good or superior to existing approaches. The protocol described here has been implemented into a freely available Java program called "Probabilistic Approach for protein Nmr Assignment Validation (PANAV)" and as a web server ( http://redpoll.pharmacy.ualberta.ca/PANAV ) which can be used to validate and/or correct as well as re-reference assigned protein chemical shifts.

Indexed as

Models, StatisticalAmino Acid SequenceMolecular Sequence DataNuclear Magnetic Resonance, BiomolecularProteinsReproducibility of ResultsSoftwareUser-Computer InterfaceProteins

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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.