Evidence map›Paper›PMID 39905995›Full record

ArticleSmall methods2025

How We Simulate DNA Origami.

Sarah Haggenmueller, Michael Matthies, Matthew Sample, Petr Šulc

Abstract read
In one paragraph

Article in Small methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. How We Simulate DNA Origami.Small methods · 2025
    Article
  5. Review
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.

Sarah HaggenmuellerSchool of Natural Sciences, Department of Bioscience, Technical University Munich, 85748, Garching, Germany.
Michael MatthiesSchool of Natural Sciences, Department of Bioscience, Technical University Munich, 85748, Garching, Germany.
Matthew SampleSchool for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, 85287, USA.
Petr ŠulcSchool of Natural Sciences, Department of Bioscience, Technical University Munich, 85748, Garching, Germany.ORCID https://orcid.org/0000-0003-1565-6769

Funding

H2020 European Research Council 101040035
6 · The paper itself

Abstract

DNA origami consists of a long scaffold strand and short staple strands that self-assemble into a target 2D or 3D shape. It is a widely used construct in nucleic acid nanotechnology, offering a cost-effective way to design and create diverse nanoscale shapes. With promising applications in areas such as nanofabrication, diagnostics, and therapeutics, DNA origami has become a key tool in the bionanotechnology field. Simulations of these structures can offer insight into their shape and function, thus speeding up and simplifying the design process. However, simulating these structures, often comprising thousands of base pairs, poses challenges due to their large size. OxDNA, a coarse-grained model specifically designed for DNA nanotechnology, offers powerful simulation capabilities. Its associated ecosystem of visualization and analysis tools can complement experimental work with in silico characterization. This tutorial provides a general approach to simulating DNA origami structures using the oxDNA ecosystem, tailored for experimentalists looking to integrate computational analysis into their design workflow.

Indexed as

DNANanotechnologyNucleic Acid ConformationComputer SimulationNanostructuresDNAcoarse‐grained modelsDNA origamimolecular dynamicsoxDNA

Identifiers

PMID39905995
PMCPMC12182891

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.