A General Design Method for Scaffold-Free DNA Wireframe Nanostructures

Antti Elonen, Abdulmelik Mohammed, Pekka Orponen*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

In the area of DNA nanotechnology, approaches to composing wireframe nanostructures exclusively from short oligonucleotides, without a coordinating long scaffold strand, have been proposed by Goodman et al. (2004) and Wang et al. (2019). We present a general design method that extends these special cases to arbitrary wireframes, in the sense of graphs linearly embedded in 2D or 3D space. The method works in linear time in the size of the given wireframe model and is already available for use in the online design tool DNAforge. We also interpret the method in terms of topological graph embeddings, which opens up further research opportunities in developing this design approach.

Original languageEnglish
Title of host publicationUnconventional Computation and Natural Computation - 21st International Conference, UCNC 2024, Proceedings
EditorsDa-Jung Cho, Jongmin Kim
PublisherSpringer
Pages178-189
Number of pages12
ISBN (Electronic)978-3-031-63742-1
ISBN (Print)978-3-031-63741-4
DOIs
Publication statusPublished - 2024
MoE publication typeA4 Conference publication
EventInternational Conference on Unconventional Computation and Natural Computation - Pohang, Korea, Republic of
Duration: 17 Jun 202421 Jun 2024
Conference number: 21

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer
Volume14776 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Unconventional Computation and Natural Computation
Abbreviated titleUCNC
Country/TerritoryKorea, Republic of
CityPohang
Period17/06/202421/06/2024

Keywords

  • cycle covers
  • DNA origami
  • DNA wireframes
  • scaffold-free nanostructure design
  • strong anti-parallel traces
  • topological graph embeddings

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