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Prédiction de la structure de contrôle de bactéries par optimisation sous incertitude

Abstract : In order to understand the global functioning principals of biological systems, system biology approach aims to integrate the methodologies used in the conception and the analysis of complex technological systems, within the biology. This PhD thesis fits into the system biology framework and in particular the extension of the already existing method Resource Balance Analysis (RBA). We aim in this PhD thesis to improve the predictive power of this method by introducing more complex model. However, this new model should respect a good trade-off between the representativity of the model and its efficient numerical computation. This PhD thesis is decomposed into two major parts. The first part aims the integration of the metabolic network inherent thermodynamical and kinetic aspects. The second part aims the comprehension of the impact of enzyme production stochastic aspect on the bacteria growth. Numerical methods are elaborated to solve the obtained models in both deterministic and stochastic cases .
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Submitted on : Tuesday, January 22, 2019 - 10:38:49 AM
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Marouane Ait El Faqir. Prédiction de la structure de contrôle de bactéries par optimisation sous incertitude. Automatique / Robotique. Ecole Centrale Lyon; Université de Lyon, 2016. Français. ⟨tel-01988942⟩



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