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A Statistical analysis of receptor

Koeppl, H. ; Schumacher, L. ; Danos, V. (2009)
A Statistical analysis of receptor.
Proceedings of the International Workshop on Computtional Systmes Biology (WCSB).
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

We address the problem of phase transitions in random site graphs. Such graphs were recently proposed as more useful abstractions of proteins and their network of interactions than standard graphs. A set of binding reactions between proteins give rise to the stochastic assembly of protein complexes. We use a rule-based language to represent and simulate such systems. Based on methods from statistical physics we investigate the dependency of the asymptotic size distribution of such complexes with respect to the site configuration and binding affinities of and between proteins, respectively. In particular we discuss a liquidity index of such abstract protein networks and apply it to the problem of chemoreceptor clustering in E. coli.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2009
Autor(en): Koeppl, H. ; Schumacher, L. ; Danos, V.
Art des Eintrags: Bibliographie
Titel: A Statistical analysis of receptor
Sprache: Englisch
Publikationsjahr: 2009
Ort: Aarhus, Denmark
Veranstaltungstitel: Proceedings of the International Workshop on Computtional Systmes Biology (WCSB)
Kurzbeschreibung (Abstract):

We address the problem of phase transitions in random site graphs. Such graphs were recently proposed as more useful abstractions of proteins and their network of interactions than standard graphs. A set of binding reactions between proteins give rise to the stochastic assembly of protein complexes. We use a rule-based language to represent and simulate such systems. Based on methods from statistical physics we investigate the dependency of the asymptotic size distribution of such complexes with respect to the site configuration and binding affinities of and between proteins, respectively. In particular we discuss a liquidity index of such abstract protein networks and apply it to the problem of chemoreceptor clustering in E. coli.

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 12:34
Letzte Änderung: 23 Sep 2021 14:32
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