Evidence map›Paper›PMID 29099190›Full record

ArticleThe journal of physical chemistry letters2017

Singular Value Decomposition Method to Determine Distance Distributions in Pulsed Dipolar Electron Spin Resonance.

Madhur Srivastava, Jack H Freed

Abstract read
In one paragraph

Article in The journal of physical chemistry letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Signaling mechanism of the transmembrane energy receptor Aer.bioRxiv : the preprint server for biology · 2026
    Article
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  3. The soluble state of the HIV-1 Vpu protein forms a complex with CaProtein science : a publication of the Protein Society · 2026
    Article
  4. Article
  5. Protein Modeling with DEER Spectroscopy.Annual review of biophysics · 2025
    Review
  6. Rapid Analysis of DEER Signals Including Short Distances.The journal of physical chemistry letters · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. MRI Denoising Using Pixel-Wise Threshold Selection.IEEE access : practical innovations, open solutions · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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.

Madhur SrivastavaNational Biomedical Center for Advanced ESR Technology, ‡Meinig School of Biomedical Engineering, and §Department of Chemistry and Chemical Biology, Cornell University , Ithaca, New York 14853, United States.
Jack H FreedNational Biomedical Center for Advanced ESR Technology, ‡Meinig School of Biomedical Engineering, and §Department of Chemistry and Chemical Biology, Cornell University , Ithaca, New York 14853, United States.ORCID http://orcid.org/0000-0003-4288-2585

Funding

TR&D 4 for ACERT, 2017-2021 funding periodP41GM103521 · NIGMS · CORNELL UNIVERSITY · PI FREED, JACK H · 2012 to 2021
$11.7M
NIGMS NIH HHS P41 GM103521
6 · The paper itself

Abstract

Regularization is often utilized to elicit the desired physical results from experimental data. The recent development of a denoising procedure yielding about 2 orders of magnitude in improvement in SNR obviates the need for regularization, which achieves a compromise between canceling effects of noise and obtaining an estimate of the desired physical results. We show how singular value decomposition (SVD) can be employed directly on the denoised data, using pulse dipolar electron spin resonance experiments as an example. Such experiments are useful in measuring distances and their distributions, P(r) between spin labels on proteins. In noise-free model cases exact results are obtained, but even a small amount of noise (e.g., SNR = 850 after denoising) corrupts the solution. We develop criteria that precisely determine an optimum approximate solution, which can readily be automated. This method is applicable to any signal that is currently processed with regularization of its SVD analysis.

Identifiers

PMID29099190
PMCPMC5708871

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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.