A new framework for metabolic modeling under non-balanced growth. Application to carbon metabolism of unicellular microalgae

Caroline Baroukh 1, 2 Rafael Muñoz-Tamayo 2 Jean-Philippe Steyer 1 Olivier Bernard 3, 2, *
* Auteur correspondant
2 BIOCORE - Biological control of artificial ecosystems
LOV - Laboratoire d'océanographie de Villefranche, CRISAM - Inria Sophia Antipolis - Méditerranée , INRA - Institut National de la Recherche Agronomique
Abstract : Macroscopic and metabolic models are ubiquitous tools for bioprocess modeling and understanding. While these two modeling approaches bring answers to different objectives, a remaining challenging question is how to couple macroscopic and intracellular models to enlarge the prediction capabilities of the model while keeping a model structure with low complexity level? In this paper, we provide conceptual guidelines to address this question. We propose a new modeling framework that manages non-balanced growth condition and hence accumulation of intracellular metabolites. The first stage consists in determining metabolic sub-networks, which are assumed to satisfy balanced growth condition. Then, the remaining metabolites interconnecting the sub-networks can dynamically accumulate or be reused.
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Communication dans un congrès
Computer Applied to Biotechnology, Dec 2013, Mumbai, India. 2013
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Caroline Baroukh, Rafael Muñoz-Tamayo, Jean-Philippe Steyer, Olivier Bernard. A new framework for metabolic modeling under non-balanced growth. Application to carbon metabolism of unicellular microalgae. Computer Applied to Biotechnology, Dec 2013, Mumbai, India. 2013. 〈hal-00856042〉

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