Evidence map›Paper›PMID 19358609›Full record

ArticleJournal of the American Chemical Society2009

Accurate sampling of high-frequency motions in proteins by steady-state (15)N-{(1)H} nuclear Overhauser effect measurements in the presence of cross-correlated relaxation.

Fabien Ferrage, David Cowburn, Ranajeet Ghose

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. A Prediction of All-Inorganic Lead-Free Halide Perovskites for Photovoltaic Application: RbAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  2. Article
  3. Article
  4. NMR Methods to Study the Dynamics of SH2 Domain-Phosphopeptide Complexes.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. DynamicJournal of biomolecular NMR · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Solution structure of domain 1.1 of the σThe Journal of biological chemistry · 2017
    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.

Fabien FerrageNew York Structural Biology Center, New York, New York 10027, USA. Fabien.Ferrage@ens.fr
David Cowburn
Ranajeet Ghose

Funding

900 MHz NMR Spectrometer for Structural BiologyP41GM066354 · NIGMS · NEW YORK STRUCTURAL BIOLOGY CENTER · PI COWBURN, DAVID · 2002 to 2006
$4.7M
Structural Biology of Protein KinasesR01GM047021 · NIGMS · ROCKEFELLER UNIVERSITY · PI COWBURN, DAVID · 1992 to 2008
$2.4M
NCRR NIH HHS 5G12 RR06030NIGMS NIH HHS GM 47021NIGMS NIH HHS P41 GM066354NIGMS NIH HHS R01 GM047021
6 · The paper itself

Abstract

The steady-state {(1)H}-(15)N NOE experiment is used in most common NMR analyses of backbone dynamics to accurately ascertain the effects of the fast dynamic modes. We demonstrate here that, in its most common implementation, this experiment generates an incorrect steady state in the presence of CSA/dipole cross-correlated relaxation leading to large errors in the characterization of these high-frequency modes. This affects both the quantitative and qualitative interpretation of (15)N backbone relaxation in dynamic terms. We demonstrate further that minor changes in the experimental implementation effectively remove these errors and allow a more accurate interpretation of protein backbone dynamics.

Indexed as

Magnetic Resonance SpectroscopyNitrogen IsotopesProteinsProtonsReproducibility of ResultsNitrogen IsotopesProteinsProtons

Identifiers

PMID19358609
PMCPMC3547682

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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.