Properties of Random Complex Chemical Reaction Networks and Their Relevance to Biological Toy Models

Erwan Bigan 1, 2 Jean-Marc Steyaert 1, 3 Stéphane Douady 2
3 AMIB - Algorithms and Models for Integrative Biology
CNRS - Centre National de la Recherche Scientifique : UMR8623, X - École polytechnique, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique, LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau]
Abstract : We investigate the properties of large random conservative chemical reaction networks composed of elementary reactions endowed with either mass-action or saturating kinetics, assigning kinetic parameters in a thermodynamically-consistent manner. We find that such complex networks exhibit qualitatively similar behavior when fed with external nutrient flux. The nutrient is preferentially transformed into one specific chemical that is an intrinsic property of the network. We propose a self-consistent proto-cell toy model in which the preferentially synthesized chemical is a precursor for the cell membrane, and show that such proto-cells can exhibit sustainable homeostatic growth when fed with any nutrient diffusing through the membrane, provided that nutrient is metabolized at a sufficient rate.
Type de document :
Pré-publication, Document de travail
2013
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Contributeur : Julie Bernauer <>
Soumis le : vendredi 6 septembre 2013 - 12:35:11
Dernière modification le : jeudi 10 mai 2018 - 02:06:04

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  • HAL Id : hal-00859004, version 1
  • ARXIV : 1303.7439

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Erwan Bigan, Jean-Marc Steyaert, Stéphane Douady. Properties of Random Complex Chemical Reaction Networks and Their Relevance to Biological Toy Models. 2013. 〈hal-00859004〉

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