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Reconstructing species-based dynamics from reduced stochastic rule-based models

Petrov, T. ; Feret, J. ; Koeppl, H. (2012)
Reconstructing species-based dynamics from reduced stochastic rule-based models.
2012 Winter Simulation Conference (WSC'12). Berlin, Germany (09.-12.12.)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Many bio-molecular reactions inside the cell are characterized by complex-formation and mutual modification of a few constituent molecules that give rise to a combinatorial number of reachable complexes or species. For such cases rule-based models (or site-graph-rewrite rules), offer a compact model description, by enumerating only the necessary context of interacting molecules. Such a model specification induces symmetries in the underlying Markov chain, which we have recently exploited for model reduction, based on a backward Markovian bisimulation. Interestingly, the method showed a theoretical possibility of reconstructing the high-dimensional species-based dynamics from the aggregate state. In this paper, we present a procedure for reconstructing the high-dimensional species-based dynamics from the aggregate state, and we provide an algorithm for computing such de-aggregation functions explicitly. The algorithm involves counting the automorphisms of a connected site-graph, and has a quadratic time complexity in the number of molecules which constitute the site-graphs of interest. We provide illustrating case studies.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2012
Autor(en): Petrov, T. ; Feret, J. ; Koeppl, H.
Art des Eintrags: Bibliographie
Titel: Reconstructing species-based dynamics from reduced stochastic rule-based models
Sprache: Englisch
Publikationsjahr: Dezember 2012
Verlag: ACM
Veranstaltungstitel: 2012 Winter Simulation Conference (WSC'12)
Veranstaltungsort: Berlin, Germany
Veranstaltungsdatum: 09.-12.12.
URL / URN: http://dl.acm.org/citation.cfm?id=2429759.2430062
Kurzbeschreibung (Abstract):

Many bio-molecular reactions inside the cell are characterized by complex-formation and mutual modification of a few constituent molecules that give rise to a combinatorial number of reachable complexes or species. For such cases rule-based models (or site-graph-rewrite rules), offer a compact model description, by enumerating only the necessary context of interacting molecules. Such a model specification induces symmetries in the underlying Markov chain, which we have recently exploited for model reduction, based on a backward Markovian bisimulation. Interestingly, the method showed a theoretical possibility of reconstructing the high-dimensional species-based dynamics from the aggregate state. In this paper, we present a procedure for reconstructing the high-dimensional species-based dynamics from the aggregate state, and we provide an algorithm for computing such de-aggregation functions explicitly. The algorithm involves counting the automorphisms of a connected site-graph, and has a quadratic time complexity in the number of molecules which constitute the site-graphs of interest. We provide illustrating case studies.

Zusätzliche Informationen:

Art. No.: 225

Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Bioinspirierte Kommunikationssysteme
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik
Hinterlegungsdatum: 04 Apr 2014 12:18
Letzte Änderung: 23 Sep 2021 14:31
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