Skip to main content
CenXiv.org
This website is in trial operation, support us!
We gratefully acknowledge support from all contributors.
Contribute
Donate
cenxiv logo > math > arXiv:2108.00035

Help | Advanced Search

Mathematics > Combinatorics

arXiv:2108.00035 (math)
[Submitted on 30 Jul 2021 ]

Title: Computational complexity and pragmatic solutions for flexible tile based DNA self-assembly

Title: 基于灵活瓷砖的DNA自组装的计算复杂性和实用解决方案

Authors:Leyda Almodóvar, Jo Ellis-Monaghan, Amanda Harsy, Cory Johnson, Jessica Sorrells
Abstract: Branched junction molecule assembly of DNA nanostructures, pioneered by Seeman's laboratory in the 1980s, has become increasingly sophisticated, as have the assembly targets. A critical design step is finding minimal sets of branched junction molecules that will self-assemble into target structures without unwanted substructures forming. We use graph theory, which is a natural design tool for self-assembling DNA complexes, to address this problem. After determining that finding optimal design strategies for this method is generally NP-complete, we provide pragmatic solutions in the form of programs for special settings and provably optimal solutions for natural assembly targets such as platonic solids, regular lattices, and nanotubes. These examples also illustrate the range of design challenges.
Abstract: DNA纳米结构的分支接头分子组装,由Seeman实验室在20世纪80年代开创,已经变得越来越复杂,组装目标也是如此。一个关键的设计步骤是找到一组最小的分支接头分子,这些分子能够自组装成目标结构,而不会形成不需要的子结构。我们使用图论,这是一种用于自组装DNA复合物的自然设计工具,来解决这个问题。在确定为此方法寻找最优设计策略通常是NP完全问题后,我们提供了针对特定设置的程序方案,并为自然组装目标如正多面体、规则晶格和纳米管提供了可证明最优的解决方案。这些例子也说明了设计挑战的范围。
Comments: 41 pages, 30 figures
Subjects: Combinatorics (math.CO)
MSC classes: 92E10 (Primary), 05C90, 05C85, 92D20 (Secondary)
Cite as: arXiv:2108.00035 [math.CO]
  (or arXiv:2108.00035v1 [math.CO] for this version)
  https://doi.org/10.48550/arXiv.2108.00035
arXiv-issued DOI via DataCite

Submission history

From: Jessica Sorrells [view email]
[v1] Fri, 30 Jul 2021 18:35:03 UTC (813 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled
  • View Chinese PDF
  • View PDF
  • TeX Source
view license
Current browse context:
math.CO
< prev   |   next >
new | recent | 2021-08
Change to browse by:
math

References & Citations

  • NASA ADS
  • Google Scholar
  • Semantic Scholar
a export BibTeX citation Loading...

BibTeX formatted citation

×
Data provided by:

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
IArxiv Recommender (What is IArxiv?)
  • Author
  • Venue
  • Institution
  • Topic

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
  • About
  • Help
  • contact arXivClick here to contact arXiv Contact
  • subscribe to arXiv mailingsClick here to subscribe Subscribe
  • Copyright
  • Privacy Policy
  • Web Accessibility Assistance
  • arXiv Operational Status
    Get status notifications via email or slack

京ICP备2025123034号