Evidence map›Paper›PMID 31780654›Full record

ArticleNature communications2019

Automated sequence design of 2D wireframe DNA origami with honeycomb edges.

Hyungmin Jun, Xiao Wang, William P Bricker, Mark Bathe

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Review
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  4. DNA Nanostructure-Templated Multivalency Enables Broad-Spectrum Virus Inhibition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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.

Hyungmin JunDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID http://orcid.org/0000-0002-7108-1288
Xiao WangDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
William P BrickerDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID http://orcid.org/0000-0001-9724-0905
Mark BatheDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. mark.bathe@mit.edu.ORCID http://orcid.org/0000-0002-6199-6855

Funding

THE SOCIAL ORGANIZATION OF DUTCH MATERNITY CAREF06TW001954 · FIC · ST. OLAF COLLEGE · PI DEVRIES, RAYMOND G · 1993 to 1995
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6 · The paper itself

Abstract

Wireframe DNA origami has emerged as a powerful approach to fabricating nearly arbitrary 2D and 3D geometries at the nanometer-scale. Complex scaffold and staple routing needed to design wireframe DNA origami objects, however, render fully automated, geometry-based sequence design approaches essential for their synthesis. And wireframe DNA origami structural fidelity can be limited by wireframe edges that are composed only of one or two duplexes. Here we introduce a fully automated computational approach that programs 2D wireframe origami assemblies using honeycomb edges composed of six parallel duplexes. These wireframe assemblies show enhanced structural fidelity from electron microscopy-based measurement of programmed angles compared with identical geometries programmed using dual-duplex edges. Molecular dynamics provides additional theoretical support for the enhanced structural fidelity observed. Application of our top-down sequence design procedure to a variety of complex objects demonstrates its broad utility for programmable 2D nanoscale materials.

Indexed as

Base SequenceNucleic Acid ConformationAutomationDNAMicroscopy, Atomic ForceMicroscopy, Electron, TransmissionNanostructuresDNA

Identifiers

PMID31780654
PMCPMC6882874

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.