Evidence map›Paper›PMID 29233997›Full record

ArticleNature communications2017

Polymorphic design of DNA origami structures through mechanical control of modular components.

Chanseok Lee, Jae Young Lee, Do-Nyun Kim

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Nucleic acid nanostructures forApplied physics reviews · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Computational and structural biotechnology journal · 2020
    Review
  16. Article
  17. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Chanseok LeeDepartment of Mechanical and Aerospace Engineering, Seoul National University, 301-dong 116-ho, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Korea.ORCID http://orcid.org/0000-0002-7969-4345
Jae Young LeeDepartment of Mechanical and Aerospace Engineering, Seoul National University, 301-dong 116-ho, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Korea.ORCID http://orcid.org/0000-0002-6438-2699
Do-Nyun KimDepartment of Mechanical and Aerospace Engineering, Seoul National University, 301-dong 116-ho, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Korea. dnkim@snu.ac.kr.ORCID http://orcid.org/0000-0003-0896-4552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scaffolded DNA origami enables the bottom-up fabrication of diverse DNA nanostructures by designing hundreds of staple strands, comprised of complementary sequences to the specific binding locations of a scaffold strand. Despite its exceptionally high design flexibility, poor reusability of staples has been one of the major hurdles to fabricate assorted DNA constructs in an effective way. Here we provide a rational module-based design approach to create distinct bent shapes with controllable geometries and flexibilities from a single, reference set of staples. By revising the staple connectivity within the desired module, we can control the location, stiffness, and included angle of hinges precisely, enabling the construction of dozens of single- or multiple-hinge structures with the replacement of staple strands up to 12.8% only. Our design approach, combined with computational shape prediction and analysis, can provide a versatile and cost-effective procedure in the design of DNA origami shapes with stiffness-tunable units.

Indexed as

Nucleic Acid ConformationComputational BiologyCost-Benefit AnalysisDNAMolecular Dynamics SimulationNanostructuresNanotechnologyDNA

Identifiers

PMID29233997
PMCPMC5727162

What OpenQuestion holds

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LicenceCC BY
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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.