Evidence map›Paper›PMID 29604882›Full record

ArticleThe Journal of chemical physics2018

Inferring properties of disordered chains from FRET transfer efficiencies.

Wenwei Zheng, Gül H Zerze, Alessandro Borgia, Jeetain Mittal, Benjamin Schuler, Robert B Best

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

80 citing papers in PubMed.

  1. Article
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  6. Mapping Charge Interactions in Intrinsically Disordered Proteins.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  7. Accurate conformational ensembles of intrinsically disordered proteins using reweighting based on NMR chemical shifts.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Article
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  12. Accurate prediction of thermoresponsive phase behavior of disordered proteins.Protein science : a publication of the Protein Society · 2025
    Article
  13. Article
  14. Article
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20 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

6 authors.

Wenwei ZhengLaboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, USA.
Gül H ZerzeDepartment of Chemical and Biomolecular Engineering, Bethlehem, Pennsylvania 18015, USA.
Alessandro BorgiaDepartment of Biochemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
Jeetain MittalDepartment of Chemical and Biomolecular Engineering, Bethlehem, Pennsylvania 18015, USA.ORCID 0000000297256402
Benjamin SchulerDepartment of Biochemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.ORCID 0000000259704251
Robert B BestLaboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, USA.

Funding

Understanding protein folding, evolution and function via molecular simulationZIADK075104 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI BEST, ROBERT · 2013 to 2025
$13.7M
Turning off the molecular switch for pathological self-assembly of FUSR01GM118530 · NIGMS · BROWN UNIVERSITY · PI FAWZI, NICOLAS LUX · 2016 to 2020
$1.6M
NIGMS NIH HHS R01 GM118530
6 · The paper itself

Abstract

Förster resonance energy transfer (FRET) is a powerful tool for elucidating both structural and dynamic properties of unfolded or disordered biomolecules, especially in single-molecule experiments. However, the key observables, namely, the mean transfer efficiency and fluorescence lifetimes of the donor and acceptor chromophores, are averaged over a broad distribution of donor-acceptor distances. The inferred average properties of the ensemble therefore depend on the form of the model distribution chosen to describe the distance, as has been widely recognized. In addition, while the distribution for one type of polymer model may be appropriate for a chain under a given set of physico-chemical conditions, it may not be suitable for the same chain in a different environment so that even an apparently consistent application of the same model over all conditions may distort the apparent changes in chain dimensions with variation of temperature or solution composition. Here, we present an alternative and straightforward approach to determining ensemble properties from FRET data, in which the polymer scaling exponent is allowed to vary with solution conditions. In its simplest form, it requires either the mean FRET efficiency or fluorescence lifetime information. In order to test the accuracy of the method, we have utilized both synthetic FRET data from implicit and explicit solvent simulations for 30 different protein sequences, and experimental single-molecule FRET data for an intrinsically disordered and a denatured protein. In all cases, we find that the inferred radii of gyration are within 10% of the true values, thus providing higher accuracy than simpler polymer models. In addition, the scaling exponents obtained by our procedure are in good agreement with those determined directly from the molecular ensemble. Our approach can in principle be generalized to treating other ensemble-averaged functions of intramolecular distances from experimental data.

Identifiers

PMID29604882
PMCPMC5812746

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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.