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Advanced Chemical Computing Using Discrete Turing Patterns in Arrays of Coupled Cells

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F20%3A43921404" target="_blank" >RIV/60461373:22340/20:43921404 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.frontiersin.org/articles/10.3389/fchem.2020.559650/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fchem.2020.559650/full</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3389/fchem.2020.559650" target="_blank" >10.3389/fchem.2020.559650</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Advanced Chemical Computing Using Discrete Turing Patterns in Arrays of Coupled Cells

  • Original language description

    We examine dynamical switching among discrete Turing patterns that enable chemical computing performed by mass-coupled reaction cells arranged as arrays with various topological configurations: three coupled cells in a cyclic array, four coupled cells in a linear array, four coupled cells in a cyclic array, and four coupled cells in a branched array. Each cell is operating as a continuous stirred tank reactor, within which the glycolytic reaction takes place, represented by a skeleton inhibitor-activator model where ADP plays the role of activator and ATP is the inhibitor. The mass coupling between cells is assumed to be operating in three possible transport regimes: (i) equal transport coefficients of the inhibitor and activator (ii) slightly faster transport of the activator, and (iii) strongly faster transport of the inhibitor. Each cellular array is characterized by two pairs of tunable parameters, the rate coefficients of the autocatalytic and inhibitory steps, and the transport coefficients of the coupling. Using stability and bifurcation analysis we identified conditions for occurrence of discrete Turing patterns associated with non-uniform stationary states. We found stable symmetric and/or asymmetric discrete Turing patterns coexisting with stable uniform periodic oscillations. To switch from one of the coexisting stable regimes to another we use carefully targeted perturbations, which allows us to build systems of logic gates specific to each topological type of the array, which in turn enables to perform advanced modes of chemical computing. By combining chemical computing techniques in the arrays with glycolytic excitable channels, we propose a cellular assemblage design for advanced chemical computing. © Copyright © 2020 Muzika, Schreiberová and Schreiber.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20401 - Chemical engineering (plants, products)

Result continuities

  • Project

    <a href="/en/project/GA18-24397S" target="_blank" >GA18-24397S: Constrained analysis of reaction networks - a tool for experimental validation of models of biochemical and photobiological reactors</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Frontiers in Chemistry

  • ISSN

    2296-2646

  • e-ISSN

  • Volume of the periodical

    8

  • Issue of the periodical within the volume

    neuvedeno

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    19

  • Pages from-to

  • UT code for WoS article

    000588371000001

  • EID of the result in the Scopus database

    2-s2.0-85096015230