Evidence map›Paper›PMID 34568875›Full record

ArticleMagnetic resonance (Gottingen, Germany)2020

DeerLab: a comprehensive software package for analyzing dipolar electron paramagnetic resonance spectroscopy data.

Luis Fábregas Ibáñez, Gunnar Jeschke, Stefan Stoll

Abstract read
In one paragraph

Article in Magnetic resonance (Gottingen, Germany), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing 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

88 citing papers in PubMed.

  1. Article
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  3. Crystallographic and EPR-based characterisation of CuInorganic chemistry frontiers · 2026
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  11. Hydraulic Activation of the AsLOV2 Photoreceptor.bioRxiv : the preprint server for biology · 2025
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  14. A biased allosteric modulator functions as a molecular glue to induce βbioRxiv : the preprint server for biology · 2025
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  15. Review
  16. Article
  17. Dimerization propensity of the βProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  18. Structure and Nitrite Reductase Activity of the Di-iron Protein ScdA inJournal of the American Chemical Society · 2025
    Article
  19. Article
  20. Article

28 more citing papers are in PubMed but not listed here.

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.

Luis Fábregas IbáñezETH Zurich, Laboratory of Physical Chemistry, Vladimir-Prelog-Weg 2, 8093 Zurich, Switzerland.
Gunnar JeschkeETH Zurich, Laboratory of Physical Chemistry, Vladimir-Prelog-Weg 2, 8093 Zurich, Switzerland.
Stefan StollUniversity of Washington, Department of Chemistry, Seattle, WA 98195, USA.

Funding

Structural mechanisms for gating of bacterial cyclic nucleotide-gated ion channelsR01GM127325 · NIGMS · UNIVERSITY OF WASHINGTON · PI ZAGOTTA, WILLIAM N · 2018 to 2021
$1.6M
Equipment Supplement: Analysis tools for quantifying protein conformational landscapes using DEER spectroscopyR01GM125753 · NIGMS · UNIVERSITY OF WASHINGTON · PI STOLL, STEFAN · 2019 to 2022
$1.3M
NIGMS NIH HHS R01 GM125753NIGMS NIH HHS R01 GM127325
6 · The paper itself

Abstract

Dipolar EPR spectroscopy (DEER and other techniques) enables the structural characterization of macromolecular and biological systems by measurement of distance distributions between unpaired electrons on a nanometer scale. The inference of these distributions from the measured signals is challenging due to the ill-posed nature of the inverse problem. Existing analysis tools are scattered over several applications with specialized graphical user interfaces. This renders comparison, reproducibility, and method development difficult. To remedy this situation, we present DeerLab, an open-source software package for analyzing dipolar EPR data that is modular and implements a wide range of methods. We show that DeerLab can perform one-step analysis based on separable non-linear least squares, fit dipolar multi-pathway models to multi-pulse DEER data, run global analysis with non-parametric distributions, and use a bootstrapping approach to fully quantify the uncertainty in the analysis.

Identifiers

PMID34568875
PMCPMC8462493

What OpenQuestion holds

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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.