Evidence map›Paper›PMID 25470497›Full record

ArticleNature communications2014

Lattice-free prediction of three-dimensional structure of programmed DNA assemblies.

Keyao Pan, Do-Nyun Kim, Fei Zhang, Matthew R Adendorff, Hao Yan, Mark Bathe

Abstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Review
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  5. Article
  6. Review
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  9. Review
  10. Article
  11. Article
  12. Article
  13. Increasing Complexity in Wireframe DNA Nanostructures.Molecules (Basel, Switzerland) · 2020
    Review
  14. Reporting on the future of integrative structural biology ORAU workshop.Frontiers in bioscience (Landmark edition) · 2020
    Article
  15. Computational and structural biotechnology journal · 2020
    Review
  16. Article
  17. Review
  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

6 authors.

Keyao PanDepartment of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building 16, Room 255, Cambridge, Massachusetts 02139, USA.
Do-Nyun KimDepartment of Mechanical and Aerospace Engineering, Seoul National University, 301-dong 1516-ho, Gwanak-ro 1, Gwanak-gu, Seoul 151-744, Republic of Korea.
Fei Zhang1] Center for Molecular Design and Biomimicry, the Biodesign Institute, Arizona State University, Tempe, Arizona 85287, USA [2] Department of Chemistry and Biochemistry, Arizona State University, Tempe, Arizona 85287, USA.
Matthew R AdendorffDepartment of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building 16, Room 255, Cambridge, Massachusetts 02139, USA.
Hao Yan1] Center for Molecular Design and Biomimicry, the Biodesign Institute, Arizona State University, Tempe, Arizona 85287, USA [2] Department of Chemistry and Biochemistry, Arizona State University, Tempe, Arizona 85287, USA.
Mark BatheDepartment of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building 16, Room 255, Cambridge, Massachusetts 02139, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA can be programmed to self-assemble into high molecular weight 3D assemblies with precise nanometer-scale structural features. Although numerous sequence design strategies exist to realize these assemblies in solution, there is currently no computational framework to predict their 3D structures on the basis of programmed underlying multi-way junction topologies constrained by DNA duplexes. Here, we introduce such an approach and apply it to assemblies designed using the canonical immobile four-way junction. The procedure is used to predict the 3D structure of high molecular weight planar and spherical ring-like origami objects, a tile-based sheet-like ribbon, and a 3D crystalline tensegrity motif, in quantitative agreement with experiments. Our framework provides a new approach to predict programmed nucleic acid 3D structure on the basis of prescribed secondary structure motifs, with possible application to the design of such assemblies for use in biomolecular and materials science.

Indexed as

DNANanotechnologyNucleic Acid ConformationModels, MolecularDNA

Identifiers

PMID25470497
PMCPMC4268701

What OpenQuestion holds

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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.