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https://doi.org/10.21256/zhaw-4098| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | A stochastic model of autocatalytic reaction networks |
| Autor/-in: | 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 |
| Erschienen in: | Theory in Biosciences |
| Band(Heft): | 131 |
| Heft: | 2 |
| Seite(n): | 85 |
| Seiten bis: | 93 |
| Erscheinungsdatum: | 2012 |
| Verlag / Hrsg. Institution: | Springer |
| ISSN: | 1611-7530 1431-7613 |
| Sprache: | Englisch |
| Schlagwörter: | Catalytic reaction networks; Autocatalytic sets of molecules; Complex systems biology; Origin of life |
| Fachgebiet (DDC): | 540: Chemie 570: Biologie |
| Zusammenfassung: | 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. |
| Weitere Angaben: | Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch) |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/2721 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Gesperrt bis: | 2018-01-01 |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Angewandte Mathematik und Physik (IAMP) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2012_Filisetti_A stochastic model of autocatalytic reaction networks_Theory in Biosciences.pdf | Zugriff erlaubt ab dem 1.1.2017 | 473.54 kB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
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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