Evidence map›Paper›PMID 22908253›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

Energy landscape analysis of native folding of the prion protein yields the diffusion constant, transition path time, and rates.

Hao Yu, Amar Nath Gupta, Xia Liu, Krishna Neupane, Angela M Brigley, Iveta Sosova, Michael T Woodside

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

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0cells of the map it votes in
65citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

65 citing papers in PubMed.

  1. Factors modulating the assembly of human βNature structural & molecular biology · 2026
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  11. 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
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  12. Article
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  15. Non-Markovian modeling of protein folding.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  16. Modulation of a protein-folding landscape revealed by AFM-based force spectroscopy notwithstanding instrumental limitations.Proceedings of the National Academy of Sciences of the United States of America · 2021
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  17. Article
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  19. Unfolded and intermediate states of PrP play a key role in the mechanism of action of an antiprion chaperone.Proceedings of the National Academy of Sciences of the United States of America · 2021
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  20. Article

5 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

7 authors.

Hao YuDepartment of Physics, University of Alberta, Edmonton, AB, Canada T6G 2E1.
Amar Nath Gupta
Xia Liu
Krishna Neupane
Angela M Brigley
Iveta Sosova
Michael T Woodside

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein folding is described conceptually in terms of diffusion over a configurational free-energy landscape, typically reduced to a one-dimensional profile along a reaction coordinate. In principle, kinetic properties can be predicted directly from the landscape profile using Kramers theory for diffusive barrier crossing, including the folding rates and the transition time for crossing the barrier. Landscape theory has been widely applied to interpret the time scales for protein conformational dynamics, but protein folding rates and transition times have not been calculated directly from experimentally measured free-energy profiles. We characterized the energy landscape for native folding of the prion protein using force spectroscopy, measuring the change in extension of a single protein molecule at high resolution as it unfolded/refolded under tension. Key parameters describing the landscape profile were first recovered from the distributions of unfolding and refolding forces, allowing the diffusion constant for barrier crossing and the transition path time across the barrier to be calculated. The full landscape profile was then reconstructed from force-extension curves, revealing a double-well potential with an extended, partially unfolded transition state. The barrier height and position were consistent with the previous results. Finally, Kramers theory was used to predict the folding rates from the landscape profile, recovering the values observed experimentally both under tension and at zero force in ensemble experiments. These results demonstrate how advances in single-molecule theory and experiment are harnessing the power of landscape formalisms to describe quantitatively the mechanics of folding.

Indexed as

Models, ChemicalProtein FoldingKineticsOptical TweezersPrionsPrions

Identifiers

PMID22908253
PMCPMC3437844

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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.