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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-1673
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dc.contributor.authorFilisetti, Alessandro-
dc.contributor.authorGraudenzi, Alex-
dc.contributor.authorSerra, Roberto-
dc.contributor.authorVillani, Marco-
dc.contributor.authorDeLucrezia, Davide-
dc.contributor.authorFüchslin, Rudolf Marcel-
dc.contributor.authorKauffman, Stuart A.-
dc.contributor.authorPackard, Norman-
dc.contributor.authorPoli, Irene-
dc.date.accessioned2018-02-14T09:43:54Z-
dc.date.available2018-02-14T09:43:54Z-
dc.date.issued2011-
dc.identifier.issn1759-2208de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/2784-
dc.description.abstractAutocatalytic cycles are rather common in biological systems and they might have played a major role in the transition from non-living to living systems. Several theoretical models have been proposed to address the experimentalists during the investigation of this issue and most of them describe a phase transition depending upon the level of heterogeneity of the chemical soup. Nevertheless, it is well known that reproducing the emergence of autocatalytic sets in wet laboratories is a hard task. Understanding the rationale at the basis of such a mismatch between theoretical predictions and experimental observations is therefore of fundamental importance. We here introduce a novel stochastic model of catalytic reaction networks, in order to investigate the emergence of autocatalytic cycles, sensibly considering the importance of noise, of small-number effects and the possible growth of the number of different elements in the system. Furthermore, the introduction of a temporal threshold that defines how long a specific reaction is kept in the reaction graph allows to univocally define cycles also within an asynchronous framework. The foremost analyses have been focused on the study of the variation of the composition of the incoming flux. It was possible to show that the activity of the system is enhanced, with particular regard to the emergence of autocatalytic sets, if a larger number of different elements is present in the incoming flux, while the specific length of the species seems to entail minor effects on the overall dynamics.de_CH
dc.language.isoende_CH
dc.publisherBioMed Centralde_CH
dc.relation.ispartofJournal of Systems Chemistryde_CH
dc.rightshttp://creativecommons.org/licenses/by/2.0/de_CH
dc.subjectTemporal windowde_CH
dc.subjectAverage connectivityde_CH
dc.subjectGillespie algorithmde_CH
dc.subjectReaction graphde_CH
dc.subjectTransient complexde_CH
dc.subject.ddc540: Chemiede_CH
dc.subject.ddc570: Biologiede_CH
dc.titleA stochastic model of the emergence of autocatalytic cyclesde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
dc.identifier.doi10.21256/zhaw-1673-
dc.identifier.doi10.1186/1759-2208-2-2de_CH
zhaw.funding.euNode_CH
zhaw.issue2de_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume2de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
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Filisetti, A., Graudenzi, A., Serra, R., Villani, M., DeLucrezia, D., Füchslin, R. M., Kauffman, S. A., Packard, N., & Poli, I. (2011). A stochastic model of the emergence of autocatalytic cycles. Journal of Systems Chemistry, 2(2). https://doi.org/10.21256/zhaw-1673
Filisetti, A. et al. (2011) ‘A stochastic model of the emergence of autocatalytic cycles’, Journal of Systems Chemistry, 2(2). Available at: https://doi.org/10.21256/zhaw-1673.
A. Filisetti et al., “A stochastic model of the emergence of autocatalytic cycles,” Journal of Systems Chemistry, vol. 2, no. 2, 2011, doi: 10.21256/zhaw-1673.
FILISETTI, Alessandro, Alex GRAUDENZI, Roberto SERRA, Marco VILLANI, Davide DELUCREZIA, Rudolf Marcel FÜCHSLIN, Stuart A. KAUFFMAN, Norman PACKARD und Irene POLI, 2011. A stochastic model of the emergence of autocatalytic cycles. Journal of Systems Chemistry. 2011. Bd. 2, Nr. 2. DOI 10.21256/zhaw-1673
Filisetti, Alessandro, Alex Graudenzi, Roberto Serra, Marco Villani, Davide DeLucrezia, Rudolf Marcel Füchslin, Stuart A. Kauffman, Norman Packard, and Irene Poli. 2011. “A Stochastic Model of the Emergence of Autocatalytic Cycles.” Journal of Systems Chemistry 2 (2). https://doi.org/10.21256/zhaw-1673.
Filisetti, Alessandro, et al. “A Stochastic Model of the Emergence of Autocatalytic Cycles.” Journal of Systems Chemistry, vol. 2, no. 2, 2011, https://doi.org/10.21256/zhaw-1673.


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