2 Search Results for "Kawamata, Ibuki"

Document
DOI: 10.4230/LIPIcs.DNA.31.6
Secondary Structure Design for Cotranscriptional 3D RNA Origami Wireframes

Authors: Pekka Orponen, Shinnosuke Seki, and Antti Elonen

Published in: LIPIcs, Volume 347, 31st International Conference on DNA Computing and Molecular Programming (DNA 31) (2025)

Abstract
We address the task of secondary structure design for de novo 3D RNA origami wireframe structures in a way that takes into account the specifics of a cotranscriptional folding setting. We consider two issues: firstly, avoiding the topological obstacle of "polymerase trapping", where some helical domain cannot be hybridised due to a closed kissing-loop pair blocking the winding of the strand relative to the polymerase-DNA-template complex; and secondly, minimising the number of distinct kissing-loop designs needed, by reusing KL pairs that have already been hybridised in the folding process. For the first task, we present an efficient strand-routing method that guarantees the absence of polymerase traps for any 3D wireframe model, and for the second task, we provide a graph-theoretic formulation of the minimisation problem, show that it is NP-complete in the general case, and outline a branch-and-bound type enumerative approach to solving it. Key concepts in both cases are depth-first search in graphs and the ensuing DFS spanning trees. Both algorithms have been implemented in the DNAforge design tool (https://dnaforge.org) and we present some examples of the results.
Cite as

Pekka Orponen, Shinnosuke Seki, and Antti Elonen. Secondary Structure Design for Cotranscriptional 3D RNA Origami Wireframes. In 31st International Conference on DNA Computing and Molecular Programming (DNA 31). Leibniz International Proceedings in Informatics (LIPIcs), Volume 347, pp. 6:1-6:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{orponen_et_al:LIPIcs.DNA.31.6,
  author =	{Orponen, Pekka and Seki, Shinnosuke and Elonen, Antti},
  title =	{{Secondary Structure Design for Cotranscriptional 3D RNA Origami Wireframes}},
  booktitle =	{31st International Conference on DNA Computing and Molecular Programming (DNA 31)},
  pages =	{6:1--6:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-399-7},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{347},
  editor =	{Schaeffer, Josie and Zhang, Fei},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DNA.31.6},
  URN =		{urn:nbn:de:0030-drops-238558},
  doi =		{10.4230/LIPIcs.DNA.31.6},
  annote =	{Keywords: RNA origami, wireframe nanostructures, cotranscriptional folding, secondary structure, kissing loops, algorithms, self-assembly}
}
Document
DOI: 10.4230/LIPIcs.DNA.2020.8
Design Automation of Polyomino Set That Self-Assembles into a Desired Shape

Authors: Yuta Matsumura, Ibuki Kawamata, and Satoshi Murata

Published in: LIPIcs, Volume 174, 26th International Conference on DNA Computing and Molecular Programming (DNA 26) (2020)

Abstract
The problem of finding the smallest DNA tile set that self-assembles into a desired pattern or shape is a research focus that has been investigated by many researchers. In this paper, we take a polyomino, which is a non-square element composed of several connected square units, as an element of assembly and consider the design problem of the minimal set of polyominoes that self-assembles into a desired shape. We developed a self-assembly simulator of polyominoes based on the agent-based Monte Carlo method, in which the potential energy among the polyominoes is evaluated and the simulation state is updated toward the direction to decrease the total potential. Aggregated polyominoes are represented as an agent, which can move, merge, and split during the simulation. In order to search the minimal set of polyominoes, two-step evaluation strategy is adopted, because of enormous search space including many parameters such as the shape, the size, and the glue types attached to the polyominoes. The feasibility of the proposed method is shown through three examples with different size and complexity.
Cite as

Yuta Matsumura, Ibuki Kawamata, and Satoshi Murata. Design Automation of Polyomino Set That Self-Assembles into a Desired Shape. In 26th International Conference on DNA Computing and Molecular Programming (DNA 26). Leibniz International Proceedings in Informatics (LIPIcs), Volume 174, pp. 8:1-8:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

Copy BibTex To Clipboard

@InProceedings{matsumura_et_al:LIPIcs.DNA.2020.8,
  author =	{Matsumura, Yuta and Kawamata, Ibuki and Murata, Satoshi},
  title =	{{Design Automation of Polyomino Set That Self-Assembles into a Desired Shape}},
  booktitle =	{26th International Conference on DNA Computing and Molecular Programming (DNA 26)},
  pages =	{8:1--8:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-163-4},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{174},
  editor =	{Geary, Cody and Patitz, Matthew J.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DNA.2020.8},
  URN =		{urn:nbn:de:0030-drops-129614},
  doi =		{10.4230/LIPIcs.DNA.2020.8},
  annote =	{Keywords: DNA polyomino, DNA nanostructure, DNA tile, Agent based simulation, Self-assembly, Combinatorial optimization, Simulated annealing}
}
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