Evidence map›Paper›PMID 22578560›Full record

ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2012

The global analysis of DEER data.

Suzanne Brandon, Albert H Beth, Eric J Hustedt

Abstract read
In one paragraph

Article in Journal of magnetic resonance (San Diego, Calif. : 1997), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Expanded Functionality and Portability for the Colvars Library.The journal of physical chemistry. B · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Cucurbit[7]uril Enhances Distance Measurements of Spin-Labeled Proteins.Journal of the American Chemical Society · 2023
    Article
  11. Article
  12. Quantitative analysis of sterol-modulated monomer-dimer equilibrium of the βProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Article
  14. Article
  15. Time-resolved DEER EPR and solid-state NMR afford kinetic and structural elucidation of substrate binding to CaProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  16. DEER Data Analysis Software: A Comparative Guide.Frontiers in molecular biosciences · 2022
    Article
  17. PELDOR Measurements on Nitroxide-Labeled Oligonucleotides.Methods in molecular biology (Clifton, N.J.) · 2022
    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.

Suzanne BrandonDepartment of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37232, USA.
Albert H Beth
Eric J Hustedt

Funding

Protein Structure and Dynamics from EPR Spectroscopy and MD SimulationsP01GM080513 · NIGMS · VANDERBILT UNIVERSITY · PI COBB, CHARLES E. · 2008 to 2012
$5.6M
NIGMS NIH HHS P01 GM080513
6 · The paper itself

Abstract

Double Electron-Electron Resonance (DEER) has emerged as a powerful technique for measuring long range distances and distance distributions between paramagnetic centers in biomolecules. This information can then be used to characterize functionally relevant structural and dynamic properties of biological molecules and their macromolecular assemblies. Approaches have been developed for analyzing experimental data from standard four-pulse DEER experiments to extract distance distributions. However, these methods typically use an a priori baseline correction to account for background signals. In the current work an approach is described for direct fitting of the DEER signal using a model for the distance distribution which permits a rigorous error analysis of the fitting parameters. Moreover, this approach does not require a priori background correction of the experimental data and can take into account excluded volume effects on the background signal when necessary. The global analysis of multiple DEER data sets is also demonstrated. Global analysis has the potential to provide new capabilities for extracting distance distributions and additional structural parameters in a wide range of studies.

Indexed as

AlgorithmsComputer SimulationConfidence IntervalsCysteineData Interpretation, StatisticalMuramidaseMutationNormal DistributionNuclear Magnetic Resonance, BiomolecularProtein ConformationSpin LabelsCysteineMuramidaseSpin Labels

Identifiers

PMID22578560
PMCPMC3608411

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.