Evidence map›Paper›PMID 19810742›Full record

ArticleThe journal of physical chemistry. A2009

Generalized indirect covariance NMR formalism for establishment of multidimensional spin correlations.

David A Snyder, Rafael Brüschweiler

Abstract read
In one paragraph

Article in The journal of physical chemistry. A, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Covariance nuclear magnetic resonance methods for obtaining protein assignments and novel correlations.Concepts in magnetic resonance. Part A, Bridging education and research · 2017
    Article
  4. Effortless assignment with 4D covariance sequential correlation maps.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2015
    Article
  5. Article
  6. Nonuniform sampling and non-Fourier signal processing methods in multidimensional NMR.Progress in nuclear magnetic resonance spectroscopy · 2014
    Review
  7. Article
  8. Article
  9. A covariance NMR toolbox for MATLAB and OCTAVE.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2011
    Article
  10. A practical implementation of cross-spectrum in protein backbone resonance assignment.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2010
    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.

David A SnyderDepartment of Chemistry, William Paterson University, 300 Pompton Road, Wayne, New Jersey 07470, USA.
Rafael Brüschweiler

Funding

New hybrid methods for the improved and integrated analysis of complex metabolomics mixturesR01GM066041 · NIGMS · OHIO STATE UNIVERSITY · PI BRUSCHWEILER, RAFAEL · 2002 to 2019
$3.3M
NIGMS NIH HHS GM 066041NIGMS NIH HHS R01 GM066041
6 · The paper itself

Abstract

Multidimensional nuclear magnetic resonance (NMR) experiments measure spin-spin correlations, which provide important information about bond connectivities and molecular structure. However, direct observation of certain kinds of correlations can be very time-consuming due to limitations in sensitivity and resolution. Covariance NMR derives correlations between spins via the calculation of a (symmetric) covariance matrix, from which a matrix-square root produces a spectrum with enhanced resolution. Recently, the covariance concept has been adopted to the reconstruction of nonsymmetric spectra from pairs of 2D spectra that have a frequency dimension in common. Since the unsymmetric covariance NMR procedure lacks the matrix-square root step, it does not suppress relay effects and thereby may generate false positive signals due to chemical shift degeneracy. A generalized covariance formalism is presented here that embeds unsymmetric covariance processing within the context of the regular covariance transform. It permits the construction of unsymmetric covariance NMR spectra subjected to arbitrary matrix functions, such as the square root, with improved spectral properties. This formalism extends the domain of covariance NMR to include the reconstruction of nonsymmetric NMR spectra at resolutions or sensitivities that are superior to the ones achievable by direct measurements.

Indexed as

Computer SimulationMagnetic Resonance SpectroscopyPeptidesProteinsReference StandardsPeptidesProteins

Identifiers

PMID19810742
PMCPMC2783375

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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.