Evidence map›Paper›PMID 19629713›Full record

ArticleJournal of biomolecular NMR2009

Quantitative analysis of backbone motion in proteins using MAS solid-state NMR spectroscopy.

Veniamin Chevelkov, Uwe Fink, Bernd Reif

Abstract read
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In one paragraph

Article in Journal of biomolecular NMR, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
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

24 citing papers in PubMed, 83 citations in OpenAlex.

  1. Article
  2. Article
  3. Chemical reviews · 2022
    Review
  4. Article
  5. Model-Free or Not?Frontiers in molecular biosciences · 2021
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Protein conformational dynamics studied bySolid state nuclear magnetic resonance · 2017
    Article
  13. Article
  14. Review
  15. Magic angle spinning NMR of viruses.Progress in nuclear magnetic resonance spectroscopy · 2015
    Review
  16. 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 at 1 institution in 1 country.

Veniamin ChevelkovLeibniz-Forschungsinstitut für Molekulare Pharmakologie, Robert-Rössle-Strasse 10, Berlin, Germany.
Uwe Fink
Bernd Reif
Leibniz-Forschungsinstitut für Molekulare Pharmakologie · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a comprehensive analysis of protein dynamics for a micro-crystallin protein in the solid-state. Experimental data include (15)N T (1) relaxation times measured at two different magnetic fields as well as (1)H-(15)N dipole, (15)N CSA cross correlated relaxation rates which are sensitive to the spectral density function J(0) and are thus a measure of T (2) in the solid-state. In addition, global order parameters are included from a (1)H,(15)N dipolar recoupling experiment. The data are analyzed within the framework of the extended model-free Clore-Lipari-Szabo theory. We find slow motional correlation times in the range of 5 and 150 ns. Assuming a wobbling in a cone motion, the amplitude of motion of the respective amide moiety is on the order of 10 degrees for the half-opening angle of the cone in most of the cases. The experiments are demonstrated using a perdeuterated sample of the chicken alpha-spectrin SH3 domain.

Indexed as

AnimalsChickensModels, ChemicalModels, MolecularNitrogen IsotopesNuclear Magnetic Resonance, BiomolecularProtein ConformationProteinsSpectrinsrc Homology DomainsNitrogen IsotopesProteinsSpectrin

Identifiers

PMID19629713
OpenAlexW2077533679

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.