Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-4098
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: A stochastic model of autocatalytic reaction networks
Authors: Filisetti, Alessandro
Graudenzi, Alex
Serra, Roberto
Villani, Marco
Füchslin, Rudolf Marcel
Packard, Norman
Kauffman, Stuart A.
Poli, Irene
DOI: 10.21256/zhaw-4098
10.1007/s12064-011-0136-x
Published in: Theory in Biosciences
Volume(Issue): 131
Issue: 2
Page(s): 85
Pages to: 93
Issue Date: 2012
Publisher / Ed. Institution: Springer
ISSN: 1611-7530
1431-7613
Language: English
Subjects: Catalytic reaction networks; Autocatalytic sets of molecules; Complex systems biology; Origin of life
Subject (DDC): 540: Chemistry
570: Biology
Abstract: Autocatalytic cycles are rather widespread in nature and in several theoretical models of catalytic reaction networks their emergence is hypothesized to be inevitable when the network is or becomes sufficiently complex. Nevertheless, the emergence of autocatalytic cycles has been never observed in wet laboratory experiments. Here, we present a novel model of catalytic reaction networks with the explicit goal of filling the gap between theoretical predictions and experimental findings. The model is based on previous study of Kauffman, with new features in the introduction of a stochastic algorithm to describe the dynamics and in the possibility to increase the number of elements and reactions according to the dynamical evolution of the system. Furthermore, the introduction of a temporal threshold allows the detection of cycles even in our context of a stochastic model with asynchronous update. In this study, we describe the model and present results concerning the effect on the overall dynamics of varying (a) the average residence time of the elements in the reactor, (b) both the composition of the firing disk and the concentration of the molecules belonging to it, (c) the composition of the incoming flux.
Further description: Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch)
URI: https://digitalcollection.zhaw.ch/handle/11475/2721
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Restricted until: 2018-01-01
Departement: School of Engineering
Organisational Unit: Institute of Applied Mathematics and Physics (IAMP)
Appears in collections:Publikationen School of Engineering

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Filisetti, A., Graudenzi, A., Serra, R., Villani, M., Füchslin, R. M., Packard, N., Kauffman, S. A., & Poli, I. (2012). A stochastic model of autocatalytic reaction networks. Theory in Biosciences, 131(2), 85–93. https://doi.org/10.21256/zhaw-4098
Filisetti, A. et al. (2012) ‘A stochastic model of autocatalytic reaction networks’, Theory in Biosciences, 131(2), pp. 85–93. Available at: https://doi.org/10.21256/zhaw-4098.
A. Filisetti et al., “A stochastic model of autocatalytic reaction networks,” Theory in Biosciences, vol. 131, no. 2, pp. 85–93, 2012, doi: 10.21256/zhaw-4098.
FILISETTI, Alessandro, Alex GRAUDENZI, Roberto SERRA, Marco VILLANI, Rudolf Marcel FÜCHSLIN, Norman PACKARD, Stuart A. KAUFFMAN und Irene POLI, 2012. A stochastic model of autocatalytic reaction networks. Theory in Biosciences. 2012. Bd. 131, Nr. 2, S. 85–93. DOI 10.21256/zhaw-4098
Filisetti, Alessandro, Alex Graudenzi, Roberto Serra, Marco Villani, Rudolf Marcel Füchslin, Norman Packard, Stuart A. Kauffman, and Irene Poli. 2012. “A Stochastic Model of Autocatalytic Reaction Networks.” Theory in Biosciences 131 (2): 85–93. https://doi.org/10.21256/zhaw-4098.
Filisetti, Alessandro, et al. “A Stochastic Model of Autocatalytic Reaction Networks.” Theory in Biosciences, vol. 131, no. 2, 2012, pp. 85–93, https://doi.org/10.21256/zhaw-4098.


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