Evidence map›Paper›PMID 36563147›Full record

ArticleScience advances2022

Automated design of 3D DNA origami with non-rasterized 2D curvature.

Daniel Fu, Raghu Pradeep Narayanan, Abhay Prasad, Fei Zhang, Dewight Williams, John S Schreck, Hao Yan, John Reif

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Isothermal assembly of DNA nanostructures.Chemical communications (Cambridge, England) · 2025
    Review
  8. Article
  9. Article
  10. Review
  11. In Vivo Interactions of Nucleic Acid Nanostructures With Cells.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  12. 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

8 authors at 5 institutions in 1 country.

Daniel FuDepartment of Computer Science, Duke University, Durham, NC, USA.ORCID 0000-0001-5934-7314
Raghu Pradeep NarayananDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-7036-9706
Abhay PrasadSchool of Molecular Sciences and Center for Molecular Design and Biomimetics at Biodesign Institute, Arizona State University, Tempe, AZ, USA.ORCID 0000-0003-3310-3287
Fei ZhangDepartment of Chemistry, Rutgers University, Newark, NJ, USA.ORCID 0000-0002-3177-7547
Dewight WilliamsErying Materials Center, Office of Knowledge Enterprise Development, Arizona State University, Tempe, AZ, USA.ORCID 0000-0001-8942-8131
John S SchreckNational Center for Atmospheric Research (NCAR), Computational and Information Systems Laboratory, Boulder, CO, USA.ORCID 0000-0003-1565-7905
Hao YanSchool of Molecular Sciences and Center for Molecular Design and Biomimetics at Biodesign Institute, Arizona State University, Tempe, AZ, USA.ORCID 0000-0001-7397-9852
John ReifDepartment of Computer Science, Duke University, Durham, NC, USA.ORCID 0000-0002-9096-2056
Arizona State University · USDuke University · USNSF National Center for Atmospheric Research · USRutgers, The State University of New Jersey · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving the precision and function of encapsulating three-dimensional (3D) DNA nanostructures via curved geometries could have transformative impacts on areas such as molecular transport, drug delivery, and nanofabrication. However, the addition of non-rasterized curvature escalates design complexity without algorithmic regularity, and these challenges have limited the ad hoc development and usage of previously unknown shapes. In this work, we develop and automate the application of a set of previously unknown design principles that now includes a multilayer design for closed and curved DNA nanostructures to resolve past obstacles in shape selection, yield, mechanical rigidity, and accessibility. We design, analyze, and experimentally demonstrate a set of diverse 3D curved nanoarchitectures, showing planar asymmetry and examining partial multilayer designs. Our automated design tool implements a combined algorithmic and numerical approximation strategy for scaffold routing and crossover placement, which may enable wider applications of general DNA nanostructure design for nonregular or oblique shapes.

Identifiers

PMID36563147
PMCPMC9788767
OpenAlexW4312179032

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.