Evidence map›Paper›PMID 28595422›Full record

ArticleThe Journal of chemical physics2017

DNA elasticity from coarse-grained simulations: The effect of groove asymmetry.

Enrico Skoruppa, Michiel Laleman, Stefanos K Nomidis, Enrico Carlon

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Energetics of twisted DNA topologies.Biophysical journal · 2021
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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.

Enrico SkoruppaInstitute for Theoretical Physics, KU Leuven, Celestijnenlaan 200D, 3001 Leuven, Belgium.ORCID 0000000335680272
Michiel LalemanInstitute for Theoretical Physics, KU Leuven, Celestijnenlaan 200D, 3001 Leuven, Belgium.
Stefanos K NomidisInstitute for Theoretical Physics, KU Leuven, Celestijnenlaan 200D, 3001 Leuven, Belgium.ORCID 0000000246358433
Enrico CarlonInstitute for Theoretical Physics, KU Leuven, Celestijnenlaan 200D, 3001 Leuven, Belgium.ORCID 0000000182661096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is well established that many physical properties of DNA at sufficiently long length scales can be understood by means of simple polymer models. One of the most widely used elasticity models for DNA is the twistable worm-like chain (TWLC), which describes the double helix as a continuous elastic rod with bending and torsional stiffness. An extension of the TWLC, which has recently received some attention, is the model by Marko and Siggia, who introduced an additional twist-bend coupling, expected to arise from the groove asymmetry. By performing computer simulations of two available versions of oxDNA, a coarse-grained model of nucleic acids, we investigate the microscopic origin of twist-bend coupling. We show that this interaction is negligible in the oxDNA version with symmetric grooves, while it appears in the oxDNA version with asymmetric grooves. Our analysis is based on the calculation of the covariance matrix of equilibrium deformations, from which the stiffness parameters are obtained. The estimated twist-bend coupling coefficient from oxDNA simulations is G=30±1 nm. The groove asymmetry induces a novel twist length scale and an associated renormalized twist stiffness κ

Indexed as

Molecular Dynamics SimulationDNAElasticityDNA

Identifiers

PMID28595422
PMCPMC5461171

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.