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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-4098
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dc.contributor.authorFilisetti, Alessandro-
dc.contributor.authorGraudenzi, Alex-
dc.contributor.authorSerra, Roberto-
dc.contributor.authorVillani, Marco-
dc.contributor.authorFüchslin, Rudolf Marcel-
dc.contributor.authorPackard, Norman-
dc.contributor.authorKauffman, Stuart A.-
dc.contributor.authorPoli, Irene-
dc.date.accessioned2018-02-09T14:47:06Z-
dc.date.available2018-02-09T14:47:06Z-
dc.date.issued2012-
dc.identifier.issn1611-7530de_CH
dc.identifier.issn1431-7613de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/2721-
dc.descriptionErworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch)de_CH
dc.description.abstractAutocatalytic 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.de_CH
dc.language.isoende_CH
dc.publisherSpringerde_CH
dc.relation.ispartofTheory in Biosciencesde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectCatalytic reaction networksde_CH
dc.subjectAutocatalytic sets of moleculesde_CH
dc.subjectComplex systems biologyde_CH
dc.subjectOrigin of lifede_CH
dc.subject.ddc540: Chemiede_CH
dc.subject.ddc570: Biologiede_CH
dc.titleA stochastic model of autocatalytic reaction networksde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Angewandte Mathematik und Physik (IAMP)de_CH
dc.identifier.doi10.21256/zhaw-4098-
dc.identifier.doi10.1007/s12064-011-0136-xde_CH
zhaw.funding.euNode_CH
zhaw.issue2de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end93de_CH
zhaw.pages.start85de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume131de_CH
zhaw.embargo.end2018-01-01de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
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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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