Evidence map›Paper›PMID 34536387›Full record

ArticleBiophysical journal2021

Resolving distance variations by single-molecule FRET and EPR spectroscopy using rotamer libraries.

Daniel Klose, Andrea Holla, Christoph Gmeiner, Daniel Nettels, Irina Ritsch, Nadja Bross, Maxim Yulikov, Frédéric H-T Allain, Benjamin Schuler, Gunnar Jeschke

Abstract read
In one paragraph

Article in Biophysical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Protein Modeling with DEER Spectroscopy.Annual review of biophysics · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
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  10. Article
  11. Article
  12. Article
  13. Long-distance tmFRET using bipyridyl- and phenanthroline-based ligands.bioRxiv : the preprint server for biology · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Daniel KloseDepartment of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland. Electronic address: daniel.klose@phys.chem.ethz.ch.
Andrea HollaDepartment of Biochemistry, University of Zurich, Zurich, Switzerland.
Christoph GmeinerDepartment of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland.
Daniel NettelsDepartment of Biochemistry, University of Zurich, Zurich, Switzerland.
Irina RitschDepartment of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland.
Nadja BrossDepartment of Chemistry, University of Zurich, Zurich, Switzerland.
Maxim YulikovDepartment of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland.
Frédéric H-T AllainInstitute of Biochemistry, ETH Zurich, Zurich, Switzerland.
Benjamin SchulerDepartment of Biochemistry, University of Zurich, Zurich, Switzerland; Department of Physics, University of Zurich, Zurich, Switzerland. Electronic address: schuler@bioc.uzh.ch.
Gunnar JeschkeDepartment of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Förster resonance energy transfer (FRET) and electron paramagnetic resonance (EPR) spectroscopy are complementary techniques for quantifying distances in the nanometer range. Both approaches are commonly employed for probing the conformations and conformational changes of biological macromolecules based on site-directed fluorescent or paramagnetic labeling. FRET can be applied in solution at ambient temperature and thus provides direct access to dynamics, especially if used at the single-molecule level, whereas EPR requires immobilization or work at cryogenic temperatures but provides data that can be more reliably used to extract distance distributions. However, a combined analysis of the complementary data from the two techniques has been complicated by the lack of a common modeling framework. Here, we demonstrate a systematic analysis approach based on rotamer libraries for both FRET and EPR labels to predict distance distributions between two labels from a structural model. Dynamics of the fluorophores within these distance distributions are taken into account by diffusional averaging, which improves the agreement with experiment. Benchmarking this methodology with a series of surface-exposed pairs of sites in a structured protein domain reveals that the lowest resolved distance differences can be as small as ∼0.25 nm for both techniques, with quantitative agreement between experimental and simulated transfer efficiencies within a range of ±0.045. Rotamer library analysis thus establishes a coherent way of treating experimental data from EPR and FRET and provides a basis for integrative structural modeling, including studies of conformational distributions and dynamics of biological macromolecules using both techniques.

Indexed as

Fluorescence Resonance Energy TransferFluorescent DyesDiffusionElectron Spin Resonance SpectroscopyMolecular ConformationFluorescent Dyes

Identifiers

PMID34536387
PMCPMC8595751

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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.