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Petri-net-based 2D design of DNA walker circuits

We consider localised DNA computation, where a DNA strand walks along a binary decision graph to compute a binary function. One of the challenges for the design of reliable walker circuits consists in leakage transitions, which occur when a walker jumps into another branch of the decision graph. We...

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Detalles Bibliográficos
Autores principales: Gilbert, David, Heiner, Monika, Rohr, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856876/
https://www.ncbi.nlm.nih.gov/pubmed/29576759
http://dx.doi.org/10.1007/s11047-018-9671-4
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author Gilbert, David
Heiner, Monika
Rohr, Christian
author_facet Gilbert, David
Heiner, Monika
Rohr, Christian
author_sort Gilbert, David
collection PubMed
description We consider localised DNA computation, where a DNA strand walks along a binary decision graph to compute a binary function. One of the challenges for the design of reliable walker circuits consists in leakage transitions, which occur when a walker jumps into another branch of the decision graph. We automatically identify leakage transitions, which allows for a detailed qualitative and quantitative assessment of circuit designs, design comparison, and design optimisation. The ability to identify leakage transitions is an important step in the process of optimising DNA circuit layouts where the aim is to minimise the computational error inherent in a circuit while minimising the area of the circuit. Our 2D modelling approach of DNA walker circuits relies on coloured stochastic Petri nets which enable functionality, topology and dimensionality all to be integrated in one two-dimensional model. Our modelling and analysis approach can be easily extended to 3-dimensional walker systems.
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spelling pubmed-58568762018-03-21 Petri-net-based 2D design of DNA walker circuits Gilbert, David Heiner, Monika Rohr, Christian Nat Comput Article We consider localised DNA computation, where a DNA strand walks along a binary decision graph to compute a binary function. One of the challenges for the design of reliable walker circuits consists in leakage transitions, which occur when a walker jumps into another branch of the decision graph. We automatically identify leakage transitions, which allows for a detailed qualitative and quantitative assessment of circuit designs, design comparison, and design optimisation. The ability to identify leakage transitions is an important step in the process of optimising DNA circuit layouts where the aim is to minimise the computational error inherent in a circuit while minimising the area of the circuit. Our 2D modelling approach of DNA walker circuits relies on coloured stochastic Petri nets which enable functionality, topology and dimensionality all to be integrated in one two-dimensional model. Our modelling and analysis approach can be easily extended to 3-dimensional walker systems. Springer Netherlands 2018-02-28 2018 /pmc/articles/PMC5856876/ /pubmed/29576759 http://dx.doi.org/10.1007/s11047-018-9671-4 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Gilbert, David
Heiner, Monika
Rohr, Christian
Petri-net-based 2D design of DNA walker circuits
title Petri-net-based 2D design of DNA walker circuits
title_full Petri-net-based 2D design of DNA walker circuits
title_fullStr Petri-net-based 2D design of DNA walker circuits
title_full_unstemmed Petri-net-based 2D design of DNA walker circuits
title_short Petri-net-based 2D design of DNA walker circuits
title_sort petri-net-based 2d design of dna walker circuits
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856876/
https://www.ncbi.nlm.nih.gov/pubmed/29576759
http://dx.doi.org/10.1007/s11047-018-9671-4
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