Evidence map›Paper›PMID 24461018›Full record

ArticleBiophysical journal2014

Reconstruction and identification of DNA sequence landscapes from unzipping experiments at equilibrium.

Carlo Barbieri, Simona Cocco, Thomas Jorg, Rémi Monasson

Abstract read
In one paragraph

Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Carlo BarbieriLaboratoire de Physique Statistique, Centre National de la Recherche Scientifique and Université Pierre et Marie Curie, Paris, France.
Simona CoccoLaboratoire de Physique Statistique, Centre National de la Recherche Scientifique and Université Pierre et Marie Curie, Paris, France. Electronic address: cocco@lps.ens.fr.
Thomas JorgLaboratoire de Physique Statistique, Centre National de la Recherche Scientifique and Université Pierre et Marie Curie, Paris, France; Laboratoire de Physique Théorique de l'Ecole Normale Supérieure, Centre National de la Recherche Scientifique and Université Pierre et Marie Curie, Paris, France.
Rémi MonassonLaboratoire de Physique Théorique de l'Ecole Normale Supérieure, Centre National de la Recherche Scientifique and Université Pierre et Marie Curie, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two methods for reconstructing the free-energy landscape of a DNA molecule from the knowledge of the equilibrium unzipping force versus extension signal are introduced: a simple and fast procedure, based on a parametric representation of the experimental force signal, and a maximum-likelihood inference of coarse-grained free-energy parameters. In addition, we propose a force alignment procedure to correct for the drift in the experimental measure of the opening position, a major source of error. For unzipping data obtained by Huguet et al., the reconstructed basepair (bp) free energies agree with the running average of the true free energies on a 20-50 bp scale, depending on the region in the sequence. Features of the landscape at a smaller scale (5-10 bp) could be recovered in favorable regions at the beginning of the molecule. Based on the analysis of synthetic data corresponding to the 16S rDNA gene of bacteria, we show that our approach could be used to identify specific DNA sequences among thousands of homologous sequences in a database.

Indexed as

Base PairingModels, MolecularOptical TweezersBase SequenceDatabases, GeneticDNADNA, BacterialGenes, BacterialLikelihood FunctionsMicrospheresTemperatureThermodynamicsDNADNA, Bacterial

Identifiers

PMID24461018
PMCPMC3907261

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.