Evidence map›Paper›PMID 20816075›Full record

ArticleBiophysical journal2010

Complex unfolding kinetics of single-domain proteins in the presence of force.

Michael Schlierf, Zu Thur Yew, Matthias Rief, Emanuele Paci

Abstract read
In one paragraph

Article in Biophysical journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Direct single-molecule observation of calcium-dependent misfolding in human neuronal calcium sensor-1.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  5. Article
  6. Article
  7. Direct observation of a force-induced switch in the anisotropic mechanical unfolding pathway of a protein.Proceedings of the National Academy of Sciences of the United States of America · 2012
    Article
  8. Article
  9. 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

4 authors.

Michael SchlierfLoomis Laboratory, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA.
Zu Thur Yew
Matthias Rief
Emanuele Paci

Funding

Wellcome Trust
6 · The paper itself

Abstract

Single-molecule force spectroscopy is providing unique, and sometimes unexpected, insights into the free-energy landscapes of proteins. Despite the complexity of the free-energy landscapes revealed by mechanical probes, forced unfolding experiments are often analyzed using one-dimensional models that predict a logarithmic dependence of the unfolding force on the pulling velocity. We previously found that the unfolding force of the protein filamin at low pulling speed did not decrease logarithmically with the pulling speed. Here we present results from a large number of unfolding simulations of a coarse-grain model of the protein filamin under a broad range of constant forces. These show that a two-path model is physically plausible and produces a deviation from the behavior predicted by one-dimensional models analogous to that observed experimentally. We also show that the analysis of the distributions of unfolding forces (p[F]) contains crucial and exploitable information, and that a proper description of the unfolding of single-domain proteins needs to account for the intrinsic multidimensionality of the underlying free-energy landscape, especially when the applied perturbation is small.

Indexed as

Molecular Dynamics SimulationProtein UnfoldingBiomechanical PhenomenaContractile ProteinsFilaminsKineticsMicrofilament ProteinsProtein Structure, TertiaryThermodynamicsContractile ProteinsFilaminsMicrofilament Proteins

Identifiers

PMID20816075
PMCPMC2931718

What OpenQuestion holds

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Registered trials

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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.