Evidence map›Paper›PMID 24895850›Full record

ReviewAnnual review of biophysics2014

Reconstructing folding energy landscapes by single-molecule force spectroscopy.

Michael T Woodside, Steven M Block

Abstract readReview
In one paragraph

Review in Annual review of biophysics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing 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

93 citing papers in PubMed.

  1. Evolution of N-terminal mechanical lability as a determinant for Type III secretion.Protein science : a publication of the Protein Society · 2026
    Article
  2. Silanes to Silatranes: Robust Functionalization for Single-Molecule Force Spectroscopy.Chembiochem : a European journal of chemical biology · 2026
    Article
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  13. General theory for localizing the where and when of entropy production meets single-molecule experiments.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. MechanoProDB: a web-based database for exploring the mechanical properties of proteins.Database : the journal of biological databases and curation · 2024
    Article
  15. Review
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33 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

2 authors.

Michael T WoodsideDepartment of Physics, University of Alberta, Edmonton, Alberta T6G2E1, Canada; email: michael.woodside@ualberta.ca.
Steven M Block

Funding

Nucleic Acid Enzymes and Nucleic Acids Studied at the Molecular LevelR37GM057035 · NIGMS · STANFORD UNIVERSITY · PI BLOCK, STEVEN M · 2010 to 2019
$5.7M
NIGMS NIH HHS R37 GM057035
6 · The paper itself

Abstract

Folding may be described conceptually in terms of trajectories over a landscape of free energies corresponding to different molecular configurations. In practice, energy landscapes can be difficult to measure. Single-molecule force spectroscopy (SMFS), whereby structural changes are monitored in molecules subjected to controlled forces, has emerged as a powerful tool for probing energy landscapes. We summarize methods for reconstructing landscapes from force spectroscopy measurements under both equilibrium and nonequilibrium conditions. Other complementary, but technically less demanding, methods provide a model-dependent characterization of key features of the landscape. Once reconstructed, energy landscapes can be used to study critical folding parameters, such as the characteristic transition times required for structural changes and the effective diffusion coefficient setting the timescale for motions over the landscape. We also discuss issues that complicate measurement and interpretation, including the possibility of multiple states or pathways and the effects of projecting multiple dimensions onto a single coordinate.

Indexed as

DNAEnergy MetabolismProteinsSpectrum AnalysisThermodynamicsDNAProteinsAFMnucleic acid foldingoptical trappingprotein foldingreaction coordinatestatistical mechanics

Identifiers

PMID24895850
PMCPMC4609573

What OpenQuestion holds

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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.