TU Darmstadt / ULB / TUbiblio

Maximal reduction of deterministic semantics of rule-based models: Syntax-Independent Setup

Petrov, Tatjana ; Koeppl, Heinz (2010)
Maximal reduction of deterministic semantics of rule-based models: Syntax-Independent Setup.
7th International Workshop on Computational Systems Biology. Luxembourg (16.-18.06.2010)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

We develop a syntax-independent rule-based specification in a set-theoretical framework. The reactants of rules are usually defined as partially defined objects, called patterns, to denote that we can apply a reaction by substituting a pattern with any species that contains the context described by the pattern. We choose a very general data structure to represent the patterns: we write a pattern as a set of species which comply the pattern, and we call it a macro-species. We define the deterministic (ODE) semantics on such a rule set, and we define its reduction imposed by aggregation of species. We characterize for which aggregations we can correctly compute the reduced ODE semantics directly from the rule set, ie which aggregations are self-consistent. Finally, we propose an algorithm that, given a set of initial aggregates, computes the least-refined self-consistent aggregation which contains the initial aggregates.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2010
Autor(en): Petrov, Tatjana ; Koeppl, Heinz
Art des Eintrags: Bibliographie
Titel: Maximal reduction of deterministic semantics of rule-based models: Syntax-Independent Setup
Sprache: Englisch
Publikationsjahr: 2010
Buchtitel: Proceedings of the Seventh International Workshop on computational Systems (WCSB 2010) Biology
Reihe: TICSP Series
Band einer Reihe: 51
Veranstaltungstitel: 7th International Workshop on Computational Systems Biology
Veranstaltungsort: Luxembourg
Veranstaltungsdatum: 16.-18.06.2010
Kurzbeschreibung (Abstract):

We develop a syntax-independent rule-based specification in a set-theoretical framework. The reactants of rules are usually defined as partially defined objects, called patterns, to denote that we can apply a reaction by substituting a pattern with any species that contains the context described by the pattern. We choose a very general data structure to represent the patterns: we write a pattern as a set of species which comply the pattern, and we call it a macro-species. We define the deterministic (ODE) semantics on such a rule set, and we define its reduction imposed by aggregation of species. We characterize for which aggregations we can correctly compute the reduced ODE semantics directly from the rule set, ie which aggregations are self-consistent. Finally, we propose an algorithm that, given a set of initial aggregates, computes the least-refined self-consistent aggregation which contains the initial aggregates.

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 12:19
Letzte Änderung: 26 Jul 2023 08:07
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen