Evidence map›Paper›PMID 26039984›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Reconstructing folding energy landscapes from splitting probability analysis of single-molecule trajectories.

Ajay P Manuel, John Lambert, Michael T Woodside

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

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0cells of the map it votes in
21citing 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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3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. 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
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  4. Reaction Coordinates Are Optimal Channels of Energy Flow.Annual review of physical chemistry · 2025
    Review
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  17. Direct measurement of sequence-dependent transition path times and conformational diffusion in DNA duplex formation.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  18. Enhanced stochastic fluctuations to measure steep adhesive energy landscapes.Proceedings of the National Academy of Sciences of the United States of America · 2016
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Ajay P ManuelDepartment of Physics, University of Alberta, Edmonton, AB, Canada T6G 2E1;
John LambertDepartment of Physics, University of Alberta, Edmonton, AB, Canada T6G 2E1;
Michael T WoodsideDepartment of Physics, University of Alberta, Edmonton, AB, Canada T6G 2E1; National Institute for Nanotechnology, National Research Council, Edmonton, AB, Canada T6G 2M9 michael.woodside@ualberta.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural self-assembly in biopolymers, such as proteins and nucleic acids, involves a diffusive search for the minimum-energy state in a conformational free-energy landscape. The likelihood of folding proceeding to completion, as a function of the reaction coordinate used to monitor the transition, can be described by the splitting probability, p(fold)(x). P(fold) encodes information about the underlying energy landscape, and it is often used to judge the quality of the reaction coordinate. Here, we show how p(fold) can be used to reconstruct energy landscapes from single-molecule folding trajectories, using force spectroscopy measurements of single DNA hairpins. Calculating p(fold)(x) directly from trajectories of the molecular extension measured for hairpins fluctuating in equilibrium between folded and unfolded states, we inverted the result expected from diffusion over a 1D energy landscape to obtain the implied landscape profile. The results agreed well with the landscapes reconstructed by established methods, but, remarkably, without the need to deconvolve instrumental effects on the landscape, such as tether compliance. The same approach was also applied to hairpins with multistate folding pathways. The relative insensitivity of the method to the instrumental compliance was confirmed by simulations of folding measured with different tether stiffnesses. This work confirms that the molecular extension is a good reaction coordinate for these measurements, and validates a powerful yet simple method for reconstructing landscapes from single-molecule trajectories.

Indexed as

ProbabilityBiophysicsMolecular ConformationNucleic AcidsProteinsNucleic AcidsProteinsforce spectroscopynucleic acid foldingoptical tweezersprotein foldingsingle-molecule biophysics

Identifiers

PMID26039984
PMCPMC4466695

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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.