Evidence map›Paper›PMID 24906882›Full record

ArticleNucleic acids research2014

Analyzing ion distributions around DNA.

Richard Lavery, John H Maddocks, Marco Pasi, Krystyna Zakrzewska

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
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

57 citing papers in PubMed, 116 citations in OpenAlex.

  1. Article
  2. hexABC seeking the physical code of DNA.Nature communications · 2026
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  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Deciphering Sequence-Specific DNA Binding by H-NS Using Molecular Simulation.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  10. The pseudotorsional space of RNA.RNA (New York, N.Y.) · 2023
    Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Twisting DNA by salt.Nucleic acids research · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 at 1 institution in 1 country.

Richard LaveryBases Moléculaires et Structurales des Systèmes Infectieux, CNRS UMR 5086/Univ. Lyon I, IBCP, 7 Passage du Vercors, 69367 Lyon, France richard.lavery@ibcp.fr.
John H MaddocksSection de Mathématiques, Swiss Federal Institute of Technology (EPFL), CH-1015 Lausanne, Switzerland.
Marco PasiSection de Mathématiques, Swiss Federal Institute of Technology (EPFL), CH-1015 Lausanne, Switzerland.
Krystyna ZakrzewskaBases Moléculaires et Structurales des Systèmes Infectieux, CNRS UMR 5086/Univ. Lyon I, IBCP, 7 Passage du Vercors, 69367 Lyon, France.
École Polytechnique Fédérale de Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a new method for analyzing ion, or molecule, distributions around helical nucleic acids and illustrate the approach by analyzing data derived from molecular dynamics simulations. The analysis is based on the use of curvilinear helicoidal coordinates and leads to highly localized ion densities compared to those obtained by simply superposing molecular dynamics snapshots in Cartesian space. The results identify highly populated and sequence-dependent regions where ions strongly interact with the nucleic and are coupled to its conformational fluctuations. The data from this approach is presented as ion populations or ion densities (in units of molarity) and can be analyzed in radial, angular and longitudinal coordinates using 1D or 2D graphics. It is also possible to regenerate 3D densities in Cartesian space. This approach makes it easy to understand and compare ion distributions and also allows the calculation of average ion populations in any desired zone surrounding a nucleic acid without requiring references to its constituent atoms. The method is illustrated using microsecond molecular dynamics simulations for two different DNA oligomers in the presence of 0.15 M potassium chloride. We discuss the results in terms of convergence, sequence-specific ion binding and coupling with DNA conformation.

Indexed as

Molecular Dynamics SimulationChloridesDNAIonsNucleic Acid ConformationPhosphorusPotassiumChloridesDNAIonsPhosphorusPotassium

Identifiers

PMID24906882
PMCPMC4081102
OpenAlexW2131684560

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.