Evidence map›Paper›PMID 39689263›Full record

ReviewAnnual review of biophysics2025

Protein Modeling with DEER Spectroscopy.

Maxx H Tessmer, Stefan Stoll

Abstract readReview
In one paragraph

Review in Annual review of biophysics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. 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.

Maxx H TessmerDepartment of Chemistry, University of Washington, Seattle, Washington, USA; email: stst@uw.edu.
Stefan StollDepartment of Chemistry, University of Washington, Seattle, Washington, USA; email: stst@uw.edu.

Funding

Equipment Supplement: DEER spectroscopy tools for probing protein conformational dynamicsR35GM151956 · NIGMS · UNIVERSITY OF WASHINGTON · PI Stefan Stoll · 2024 to 2026
$1.4M
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 R35 GM151956
6 · The paper itself

Abstract

Double electron-electron resonance (DEER) combined with site-directed spin labeling can provide distance distributions between selected protein residues to investigate protein structure and conformational heterogeneity. The utilization of the full quantitative information contained in DEER data requires effective protein and spin label modeling methods. Here, we review the application of DEER data to protein modeling. First, we discuss the significance of spin label modeling for accurate extraction of protein structural information and review the most popular label modeling methods. Next, we review several important aspects of protein modeling with DEER, including site selection, how DEER restraints are applied, common artifacts, and the unique potential of DEER data for modeling structural ensembles and conformational landscapes. Finally, we discuss common applications of protein modeling with DEER data and provide an outlook.

Indexed as

Models, MolecularProteinsAnimalsElectron Spin Resonance SpectroscopyProtein ConformationSpin LabelsProteinsSpin LabelsDEEREPR spectroscopyintegrative modelingspin labeling

Identifiers

PMID39689263
PMCPMC12147563

What OpenQuestion holds

Textmetadata
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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.