Evidence map›Paper›PMID 17237978›Full record

ArticleJournal of biomolecular NMR2007

Unraveling protein dynamics through fast spectral density mapping.

Virginie Ropars, Sabine Bouguet-Bonnet, Daniel Auguin, Philippe Barthe, Daniel Canet, Christian Roumestand

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Article in Journal of biomolecular NMR, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Virginie RoparsCentre de Biochimie Structurale, UMR UM1/5048 CNRS/554 INSERM, 29 rue de Navacelles, 34090, Montpellier Cedex, France.
Sabine Bouguet-Bonnet
Daniel Auguin
Philippe Barthe
Daniel Canet
Christian Roumestand

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spectral density mapping at multiple NMR field strengths is probably the best method to describe the dynamical behavior of a protein in solution through the analysis of 15N heteronuclear relaxation parameters. Nevertheless, such analyses are scarcely reported in the literature, probably because this method is excessively demanding in spectrometer measuring time. Indeed, when using n different magnetic fields and assuming the validity of the high frequency approximation, the discrete sampling of the spectral density function with 2n + 1 points needs the measurement of 3n 15N heteronuclear relaxation measurements (n R1, n R2, and n15N{1H}NOEs). Based on further approximations, we proposed a new strategy that allows us to describe the spectral density with n + 2 points, with the measurement of a total of n + 2 heteronuclear relaxation parameters. Applied to the dynamics analysis of the protein p13( MTCP1) at three different NMR fields, this approach allowed us to divide by nearly a factor of two the total measuring time, without altering further results obtained by the "model free" analysis of the resulting spectral densities. Furthermore, simulations have shown that this strategy remains applicable to any low isotropically tumbling protein (tauc>3 ns), and is valid for the types of motion generally envisaged for proteins.

Indexed as

BiophysicsComputer SimulationHumansModels, StatisticalMolecular ConformationNitrogen IsotopesNuclear Magnetic Resonance, BiomolecularPermeabilityProtein ConformationProteinsProto-Oncogene ProteinsSpectrophotometryMTCP1 protein, humanNitrogen IsotopesProteinsProto-Oncogene Proteins

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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.