Evidence map›Paper›PMID 26404828›Full record

ArticleScience (New York, N.Y.)2015

Structural origin of slow diffusion in protein folding.

Hoi Sung Chung, Stefano Piana-Agostinetti, David E Shaw, William A Eaton

Open access · greenAbstract read
In one paragraph

Article in Science (New York, N.Y.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed
14.6field-weighted citation impact, top 1% of its field
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

89 citing papers in PubMed, 210 citations in OpenAlex.

  1. Article
  2. Static and dynamic rough energy landscapes can lead to identical diffusivity.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Resolving Molecular Interactions in Protein Folding Trajectories with NCIPLOT.Journal of chemical information and modeling · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A Stochastic Landscape Approach for Protein Folding State Classification.Journal of chemical theory and computation · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Time-resolved burst variance analysis.Biophysical reports · 2023
    Article
  13. Fast protein folding is governed by memory-dependent friction.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Theory and Analysis of Single-Molecule FRET Experiments.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  18. Observing the base-by-base search for native structure along transition paths during the folding of single nucleic acid hairpins.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  19. The A39G FF domain folds on a volcano-shaped free energy surface via separate pathways.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  20. Article

29 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

4 authors at 4 institutions in 1 country.

Hoi Sung ChungLaboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, 20892-0520, USA. chunghoi@niddk.nih.gov stefano.piana-agostinetti@DEShawResearch.com david.shaw@DEShawResearch.com eaton@helix.nih.gov.
Stefano Piana-AgostinettiD. E. Shaw Research, New York, NY 10036, USA. chunghoi@niddk.nih.gov stefano.piana-agostinetti@DEShawResearch.com david.shaw@DEShawResearch.com eaton@helix.nih.gov.
David E ShawD. E. Shaw Research, New York, NY 10036, USA. Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA. chunghoi@niddk.nih.gov stefano.piana-agostinetti@DEShawResearch.com david.shaw@DEShawResearch.com eaton@helix.nih.gov.
William A EatonLaboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, 20892-0520, USA. chunghoi@niddk.nih.gov stefano.piana-agostinetti@DEShawResearch.com david.shaw@DEShawResearch.com eaton@helix.nih.gov.
Columbia University · USD. E. Shaw Research · USNational Institute of Diabetes and Digestive and Kidney Diseases · USNational Institutes of Health · US

Funding

Single Molecule Studies of Protein FoldingZIADK029055 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI EATON, WILLIAM · 2009 to 2015
$3.3M
Intramural NIH HHS Z99 DK999999
6 · The paper itself

Abstract

Experimental, theoretical, and computational studies of small proteins suggest that interresidue contacts not present in the folded structure play little or no role in the self-assembly mechanism. Non-native contacts can, however, influence folding kinetics by introducing additional local minima that slow diffusion over the global free-energy barrier between folded and unfolded states. Here, we combine single-molecule fluorescence with all-atom molecular dynamics simulations to discover the structural origin for the slow diffusion that markedly decreases the folding rate for a designed α-helical protein. Our experimental determination of transition path times and our analysis of the simulations point to non-native salt bridges between helices as the source, which provides a quantitative glimpse of how specific intramolecular interactions influence protein folding rates by altering dynamics and not activation free energies.

Indexed as

Models, ChemicalProtein FoldingDiffusionEntropyHydrogen-Ion ConcentrationKineticsMolecular Dynamics SimulationProteinsProtein Structure, SecondaryProteins

Identifiers

PMID26404828
PMCPMC6260792
OpenAlexW2208231611

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.