Evidence map›Paper›PMID 24105432›Full record

ArticleJournal of biomolecular NMR2013

Amplitudes and time scales of picosecond-to-microsecond motion in proteins studied by solid-state NMR: a critical evaluation of experimental approaches and application to crystalline ubiquitin.

Jens D Haller, Paul Schanda

Abstract read
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Article in Journal of biomolecular NMR, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

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39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

39 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Conformational Dynamics of BacteriochlorophyllThe journal of physical chemistry. B · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Chemical reviews · 2022
    Review
  11. Article
  12. Transferred-Rotational-Echo Double Resonance.The journal of physical chemistry. A · 2021
    Article
  13. Model-Free or Not?Frontiers in molecular biosciences · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

2 authors.

Jens D HallerUniv. Grenoble Alpes, Institut de Biologie Structurale (IBS), 38027, Grenoble, France.
Paul Schanda

Funding

European Research Council 311318
6 · The paper itself

Abstract

Solid-state NMR provides insight into protein motion over time scales ranging from picoseconds to seconds. While in solution state the methodology to measure protein dynamics is well established, there is currently no such consensus protocol for measuring dynamics in solids. In this article, we perform a detailed investigation of measurement protocols for fast motions, i.e. motions ranging from picoseconds to a few microseconds, which is the range covered by dipolar coupling and relaxation experiments. We perform a detailed theoretical investigation how dipolar couplings and relaxation data can provide information about amplitudes and time scales of local motion. We show that the measurement of dipolar couplings is crucial for obtaining accurate motional parameters, while systematic errors are found when only relaxation data are used. Based on this realization, we investigate how the REDOR experiment can provide such data in a very accurate manner. We identify that with accurate rf calibration, and explicit consideration of rf field inhomogeneities, one can obtain highly accurate absolute order parameters. We then perform joint model-free analyses of 6 relaxation data sets and dipolar couplings, based on previously existing, as well as new data sets on microcrystalline ubiquitin. We show that nanosecond motion can be detected primarily in loop regions, and compare solid-state data to solution-state relaxation and RDC analyses. The protocols investigated here will serve as a useful basis towards the establishment of a routine protocol for the characterization of ps-μs motions in proteins by solid-state NMR.

Indexed as

Nuclear Magnetic Resonance, BiomolecularModels, MolecularProtein ConformationSolutionsUbiquitinSolutionsUbiquitin

Identifiers

PMID24105432
PMCPMC3840295

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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.