Model simplification and process analysis of biological models

Stefano Casagranda 1 Delphine Ropers 2 Jean-Luc Gouzé 1
1 BIOCORE - Biological control of artificial ecosystems
LOV - Laboratoire d'océanographie de Villefranche, CRISAM - Inria Sophia Antipolis - Méditerranée , INRA - Institut National de la Recherche Agronomique
2 IBIS - Modeling, simulation, measurement, and control of bacterial regulatory networks
LAPM - Laboratoire Adaptation et pathogénie des micro-organismes [Grenoble], Inria Grenoble - Rhône-Alpes, Institut Jean Roget
Abstract : Understanding the dynamical behavior of biological networks is complicated due to their large number of components and interactions. We present a simple method to analyse key processes for the system behavior, based on the a priori knowledge of the system trajectory and the simplification of mathematical models of these networks. The method consists of the model decomposition into biologically meaningful processes (positive or negative), whose activity or inactivity is evaluated during the time evolution of the system. The structure of the model is reduced to the core mechanisms involving active processes only. We assess the quality of the reduction by means of global relative errors and apply our method to two models of the circa-dian rhythm in Drosophila and the influence of RKIP on the ERK signaling pathway. We give some recent generalizations for a more robust approach.
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Communication dans un congrès
The 5th International Symposium on Positive Systems (POSTA), Sep 2016, Rome, Italy
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Contributeur : Jean-Luc Gouzé <>
Soumis le : jeudi 8 décembre 2016 - 10:32:30
Dernière modification le : mardi 29 mai 2018 - 12:50:54

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  • HAL Id : hal-01412049, version 1

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Stefano Casagranda, Delphine Ropers, Jean-Luc Gouzé. Model simplification and process analysis of biological models. The 5th International Symposium on Positive Systems (POSTA), Sep 2016, Rome, Italy. 〈hal-01412049〉

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