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Ternary DNA computing using 3 × 3 multiplication matrices

Non-Boolean computations implementing operations on multi-valued variables beyond base 2 allow enhanced computational complexity. We introduce DNA as a functional material for ternary computing, and in particular demonstrate the use of three-valued oligonucleotide inputs to construct a 3 × 3 multipl...

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Autores principales: Orbach, Ron, Lilienthal, Sivan, Klein, Michael, Levine, R. D., Remacle, Francoise, Willner, Itamar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal Society of Chemistry 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811156/
https://www.ncbi.nlm.nih.gov/pubmed/29560214
http://dx.doi.org/10.1039/c4sc02930e
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author Orbach, Ron
Lilienthal, Sivan
Klein, Michael
Levine, R. D.
Remacle, Francoise
Willner, Itamar
author_facet Orbach, Ron
Lilienthal, Sivan
Klein, Michael
Levine, R. D.
Remacle, Francoise
Willner, Itamar
author_sort Orbach, Ron
collection PubMed
description Non-Boolean computations implementing operations on multi-valued variables beyond base 2 allow enhanced computational complexity. We introduce DNA as a functional material for ternary computing, and in particular demonstrate the use of three-valued oligonucleotide inputs to construct a 3 × 3 multiplication table. The system consists of two three-valued inputs of –1; 0; +1 and a fluorophore/quencher functional hairpin acting as computational and reporter module. The interaction of the computational hairpin module with the different values of the inputs yields a 3 × 3 multiplication matrix consisting of nine nanostructures that are read out by three distinct fluorescence intensities. By combining three different hairpin computational modules, each modified with a different fluorophore/quencher pair, and using different sets of inputs, the parallel operation of three multiplication tables is demonstrated.
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spelling pubmed-58111562018-03-20 Ternary DNA computing using 3 × 3 multiplication matrices Orbach, Ron Lilienthal, Sivan Klein, Michael Levine, R. D. Remacle, Francoise Willner, Itamar Chem Sci Chemistry Non-Boolean computations implementing operations on multi-valued variables beyond base 2 allow enhanced computational complexity. We introduce DNA as a functional material for ternary computing, and in particular demonstrate the use of three-valued oligonucleotide inputs to construct a 3 × 3 multiplication table. The system consists of two three-valued inputs of –1; 0; +1 and a fluorophore/quencher functional hairpin acting as computational and reporter module. The interaction of the computational hairpin module with the different values of the inputs yields a 3 × 3 multiplication matrix consisting of nine nanostructures that are read out by three distinct fluorescence intensities. By combining three different hairpin computational modules, each modified with a different fluorophore/quencher pair, and using different sets of inputs, the parallel operation of three multiplication tables is demonstrated. Royal Society of Chemistry 2015-02-01 2014-11-14 /pmc/articles/PMC5811156/ /pubmed/29560214 http://dx.doi.org/10.1039/c4sc02930e Text en This journal is © The Royal Society of Chemistry 2015 http://creativecommons.org/licenses/by-nc/3.0/ This article is freely available. This article is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported Licence (CC BY-NC 3.0)
spellingShingle Chemistry
Orbach, Ron
Lilienthal, Sivan
Klein, Michael
Levine, R. D.
Remacle, Francoise
Willner, Itamar
Ternary DNA computing using 3 × 3 multiplication matrices
title Ternary DNA computing using 3 × 3 multiplication matrices
title_full Ternary DNA computing using 3 × 3 multiplication matrices
title_fullStr Ternary DNA computing using 3 × 3 multiplication matrices
title_full_unstemmed Ternary DNA computing using 3 × 3 multiplication matrices
title_short Ternary DNA computing using 3 × 3 multiplication matrices
title_sort ternary dna computing using 3 × 3 multiplication matrices
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811156/
https://www.ncbi.nlm.nih.gov/pubmed/29560214
http://dx.doi.org/10.1039/c4sc02930e
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