Evidence map›Paper›PMID 21641319›Full record

ArticleBiophysical journal2011

Measuring the folding landscape of a harmonically constrained biopolymer.

Michel de Messieres, Barbara Brawn-Cinani, Arthur La Porta

Abstract read
In one paragraph

Article in Biophysical journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. -1 Programmed Ribosomal Frameshifting as a Force-Dependent Process.Progress in molecular biology and translational science · 2016
    Review
  2. Reconstructing folding energy landscapes from splitting probability analysis of single-molecule trajectories.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  3. Article
  4. Review
  5. From mechanical folding trajectories to intrinsic energy landscapes of biopolymers.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  6. Article
  7. Article
  8. Practical axial optical trapping.The Review of scientific instruments · 2012
    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

3 authors.

Michel de MessieresDepartment of Physics, Institute for Physical Science and Technology Biophysics Program, University of Maryland, College Park, Maryland, USA.
Barbara Brawn-Cinani
Arthur La Porta

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pioneering studies have shown that the probability distribution of opening length for a DNA hairpin, recorded under constant force using an optical trap, can be used to reconstruct the energy landscape of the transition. However, measurements made under constant force are subject to some limitations. Under constant force a system with a sufficiently high energy barrier spends most of its time in the closed or open conformation, with relatively few statistics collected in the transition state region. We describe a measurement scheme in which the system is driven progressively through the transition by an optical trap and an algorithm is used to extract the energy landscape of the transition from the fluctuations recorded during this process. We illustrate this technique in simulations and demonstrate its effectiveness in experiments on a DNA hairpin. We find that the combination of this technique with the use of short DNA handles facilitates a high-resolution measurement of the hairpin's folding landscape with a very short measurement time.

Indexed as

Nucleic Acid ConformationOptical TweezersAlgorithmsDNAInverted Repeat SequencesThermodynamicsDNA

Identifiers

PMID21641319
PMCPMC3117164

What OpenQuestion holds

Textmetadata
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.