Evidence map›Paper›PMID 16821820›Full record

ArticleThe journal of physical chemistry. A2006

Protein dynamics from NMR: the slowly relaxing local structure analysis compared with model-free analysis.

Eva Meirovitch, Yury E Shapiro, Antonino Polimeno, Jack H Freed

Abstract readComparative Study
In one paragraph

Article in The journal of physical chemistry. A, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Distance-independent Cross-correlated Relaxation and Isotropic Chemical Shift Modulation in Protein Dynamics Studies.Chemphyschem : a European journal of chemical physics and physical chemistry · 2019
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Influence of the coupling of interdomain and overall motions on NMR relaxation.Proceedings of the National Academy of Sciences of the United States of America · 2009
    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

4 authors.

Eva MeirovitchFaculty of Life Sciences, Bar-Ilan University, Ramat-Gan 52900, Israel. rva@nmrsgi5.ls.biu.ac.il
Yury E Shapiro
Antonino Polimeno
Jack H Freed

Funding

X-BAND PULSE ESR SPECTROMETER FOR STUDY OF LOW-TEMPERATURE IMPURITY-HELIUM P41RR016292 · NCRR · CORNELL UNIVERSITY ITHACA · PI DUNNAM, CURT R · 2001 to 2011
$14.3M
NCRR NIH HHS P41 RR016292NCRR NIH HHS P41-RR016292
6 · The paper itself

Abstract

(15)N-(1)H spin relaxation is a powerful method for deriving information on protein dynamics. The traditional method of data analysis is model-free (MF), where the global and local N-H motions are independent and the local geometry is simplified. The common MF analysis consists of fitting single-field data. The results are typically field-dependent, and multifield data cannot be fit with standard fitting schemes. Cases where known functional dynamics has not been detected by MF were identified by us and others. Recently we applied to spin relaxation in proteins the slowly relaxing local structure (SRLS) approach, which accounts rigorously for mode mixing and general features of local geometry. SRLS was shown to yield MF in appropriate asymptotic limits. We found that the experimental spectral density corresponds quite well to the SRLS spectral density. The MF formulas are often used outside of their validity ranges, allowing small data sets to be force-fitted with good statistics but inaccurate best-fit parameters. This paper focuses on the mechanism of force-fitting and its implications. It is shown that MF analysis force-fits the experimental data because mode mixing, the rhombic symmetry of the local ordering and general features of local geometry are not accounted for. Combined multifield multitemperature data analyzed with the MF approach may lead to the detection of incorrect phenomena, and conformational entropy derived from MF order parameters may be highly inaccurate. On the other hand, fitting to more appropriate models can yield consistent physically insightful information. This requires that the complexity of the theoretical spectral densities matches the integrity of the experimental data. As shown herein, the SRLS spectral densities comply with this requirement.

Indexed as

Models, ChemicalModels, MolecularComputer SimulationEnergy TransferMagnetic Resonance SpectroscopyProtein ConformationProteinsThermodynamicsProteins

Identifiers

PMID16821820
PMCPMC2758167

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.