Evidence map›Paper›PMID 29748779›Full record

ArticleThe European physical journal. E, Soft matter2018

Coarse-grained simulation of DNA using LAMMPS : An implementation of the oxDNA model and its applications.

Oliver Henrich, Yair Augusto Gutiérrez Fosado, Tine Curk, Thomas E Ouldridge

Abstract read
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Article in The European physical journal. E, Soft matter, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Tunable Patterning of DNA Origami on Surfaces Using Steric Brushes.Angewandte Chemie (International ed. in English) · 2026
    Article
  2. Article
  3. Fitting coarse-grained models to macroscopic experimental data via automatic differentiation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  12. Article
  13. The oxDNA Coarse-Grained Model as a Tool to Simulate DNA Origami.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
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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.

Oliver HenrichDepartment of Physics, SUPA, University of Strathclyde, G4 0NG, Glasgow, Scotland, UK. oliver.henrich@strath.ac.uk.
Yair Augusto Gutiérrez FosadoSchool of Physics and Astronomy, University of Edinburgh, EH9 3FD, Edinburgh, Scotland, UK.
Tine CurkCAS Key Laboratory of Soft Matter Physics, Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, 100190, Beijing, China.
Thomas E OuldridgeDepartment of Bioengineering, Imperial College London, SW7 2AZ, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the last decade coarse-grained nucleotide models have emerged that allow us to study DNA and RNA on unprecedented time and length scales. Among them is oxDNA, a coarse-grained, sequence-specific model that captures the hybridisation transition of DNA and many structural properties of single- and double-stranded DNA. oxDNA was previously only available as standalone software, but has now been implemented into the popular LAMMPS molecular dynamics code. This article describes the new implementation and analyses its parallel performance. Practical applications are presented that focus on single-stranded DNA, an area of research which has been so far under-investigated. The LAMMPS implementation of oxDNA lowers the entry barrier for using the oxDNA model significantly, facilitates future code development and interfacing with existing LAMMPS functionality as well as other coarse-grained and atomistic DNA models.

Indexed as

SoftwareDNASequence Analysis, DNADNATopical issue: Advances in Computational Methods for Soft Matter Systems

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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.