Evidence map›Paper›PMID 26657165›Full record

ArticlePLoS computational biology2015

Simulations Meet Experiment to Reveal New Insights into DNA Intrinsic Mechanics.

Akli Ben Imeddourene, Ahmad Elbahnsi, Marc Guéroult, Christophe Oguey, Nicolas Foloppe, Brigitte Hartmann

Abstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. hexABC seeking the physical code of DNA.Nature communications · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Slow motions in A·T rich DNA sequence.Scientific reports · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

6 authors.

Akli Ben ImeddoureneLBPA, CNRS, ENS Cachan, Université Paris-Saclay, Cachan, France.
Ahmad ElbahnsiLBPA, CNRS, ENS Cachan, Université Paris-Saclay, Cachan, France.
Marc GuéroultUMR S665, INSERM, Université Paris Diderot, INTS, Paris, France.
Christophe OgueyLPTM, UMR 8089, Université de Cergy-Pontoise, Cergy-Pontoise, France.
Nicolas FoloppeCambridge, United Kingdom.
Brigitte HartmannLBPA, CNRS, ENS Cachan, Université Paris-Saclay, Cachan, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate prediction of the structure and dynamics of DNA remains a major challenge in computational biology due to the dearth of precise experimental information on DNA free in solution and limitations in the DNA force-fields underpinning the simulations. A new generation of force-fields has been developed to better represent the sequence-dependent B-DNA intrinsic mechanics, in particular with respect to the BI ↔ BII backbone equilibrium, which is essential to understand the B-DNA properties. Here, the performance of MD simulations with the newly updated force-fields Parmbsc0εζOLI and CHARMM36 was tested against a large ensemble of recent NMR data collected on four DNA dodecamers involved in nucleosome positioning. We find impressive progress towards a coherent, realistic representation of B-DNA in solution, despite residual shortcomings. This improved representation allows new and deeper interpretation of the experimental observables, including regarding the behavior of facing phosphate groups in complementary dinucleotides, and their modulation by the sequence. It also provides the opportunity to extensively revisit and refine the coupling between backbone states and inter base pair parameters, which emerges as a common theme across all the complementary dinucleotides. In sum, the global agreement between simulations and experiment reveals new aspects of intrinsic DNA mechanics, a key component of DNA-protein recognition.

Indexed as

Models, ChemicalMolecular Dynamics SimulationNucleic Acid ConformationBase SequenceMolecular Sequence DataSequence Analysis, ProteinStructure-Activity Relationship

Identifiers

PMID26657165
PMCPMC4689557

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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.