Titre :

Structural simplification of chemical reaction networks preserving deterministic semantics

Auteur(s) :

Madelaine, Guillaume [Auteur]
BioComputing
Université de Lille
Lhoussaine, Cedric [Auteur]
BioComputing
Université de Lille
Niehren, Joachim [Auteur]
Linking Dynamic Data [LINKS]
BioComputing

Titre de la manifestation scientifique :

Computational Methods in Systems Biology (CMSB)

Organisateur(s) de la manifestation scientifique :

Jérémie BOURDON
Olivier ROUX

Ville :

Nantes

Pays :

France

Date de début de la manifestation scientifique :

2015-09-16

Titre de l’ouvrage :

Lecture Notes in Computer Science

Titre de la revue :

Lecture Notes in Computer Science

Éditeur :

Springer

Mot(s)-clé(s) en anglais :

chemical reaction network
deterministic semantics
structural simplification
equivalence
system biology

Discipline(s) HAL :

Informatique [cs]/Bio-informatique [q-bio.QM]

Résumé en anglais : [en]

We study the structural simplification of chemical reaction networks preserving the deterministic kinetics. We aim at finding simplification rules that can eliminate intermediate molecules while preserving the dynamics of ...
Lire la suite >We study the structural simplification of chemical reaction networks preserving the deterministic kinetics. We aim at finding simplification rules that can eliminate intermediate molecules while preserving the dynamics of all others. The rules should be valid even though the network is plugged into a bigger context. An example is Michaelis-Menten's simplification rule for enzymatic reactions. In this paper, we present a large class of structural simplification rules for reaction networks that can eliminate intermediate molecules at equilibrium, without assuming that all molecules are at equilibrium, i.e. in a steady state. We prove the correctness of our simplification rules for all contexts that preserve the equilibrium of the eliminated molecules. Finally, we illustrate at a concrete example network from systems biology that our simplification rules may allow to drastically reduce the size of reaction networks in practice.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Projet ANR :

Des modèles de population aux populations de modèles: observation, modélisation et contrôle de l'expression génique au niveau de la cellule unique

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL