ArticleNature communications2019
Sites of high local frustration in DNA origami.
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 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed.
- Advances in DNA nanostructures for pathogenic microorganisms.Materials today. Bio · 2026Review
- Optimising DNA origami assembly by reducing off-target interactions.Nature communications · 2026Article
- Visualizing Reactive Oxygen Species-Induced DNA Damage Process in Higher-Ordered Origami Nanostructures.JACS Au · 2025Article
- Piggybacking functionalized DNA nanostructures into live-cell nuclei.Science advances · 2024Article
- Mechanism of DNA origami folding elucidated by mesoscopic simulations.Nature communications · 2024Article
- Piggybacking functionalized DNA nanostructures into live cell nuclei.bioRxiv : the preprint server for biology · 2024Article
- Structure and dynamics of an archetypal DNA nanoarchitecture revealed via cryo-EM and molecular dynamics simulations.Nature communications · 2023Article
- Simulations of DNA-Origami Self-Assembly Reveal Design-Dependent Nucleation Barriers.Nano letters · 2022Article
- DNA origami nano-mechanics.Chemical Society reviews · 2021Review
- The Art of Designing DNA Nanostructures with CAD Software.Molecules (Basel, Switzerland) · 2021Review
- Article
- Design Approaches and Computational Tools for DNA Nanostructures.IEEE open journal of nanotechnology · 2021Article
- Insights into the Structure and Energy of DNA Nanoassemblies.Molecules (Basel, Switzerland) · 2020Review
- Revealing thermodynamics of DNA origami folding via affine transformations.Nucleic acids research · 2020Article
- Manipulating Enzymes Properties with DNA Nanostructures.Molecules (Basel, Switzerland) · 2019Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The self-assembly of a DNA origami structure, although mostly feasible, represents indeed a rather complex folding problem. Entropy-driven folding and nucleation seeds formation may provide possible solutions; however, until now, a unified view of the energetic factors in play is missing. Here, by analyzing the self-assembly of origami domains with identical structure but different nucleobase composition, in function of variable design and experimental parameters, we identify the role played by sequence-dependent forces at the edges of the structure, where topological constraint is higher. Our data show that the degree of mechanical stress experienced by these regions during initial folding reshapes the energy landscape profile, defining the ratio between two possible global conformations. We thus propose a dynamic model of DNA origami assembly that relies on the capability of the system to escape high structural frustration at nucleation sites, eventually resulting in the emergence of a more favorable but previously hidden state.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.