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- W597788320 abstract "The aim of this work is to try to use observed global changes to understand interactions between individual nodes inside biochemical networks. We have worked on the determination of the essential interactions in the auto regulatory process that describes the cell cycle of Xenopus frog eggs. The results make possible an assessment of the effect of each protein on the biochemical network stability. The technique was applied also to a dynamical analysis of a uterine cell electrical activity model with view to study the impact of physiological parameters on the response of the model and identify the main subsystems generating the electrical activity. We also present a model developed for understanding an enzymatic diffusion-reaction system. The objective is to analyze the dynamic behavior of three different chemical species, the modification of enzymatic kinetic properties and the existence of sophisticated behaviors resulting of the catalytic activity induced by immobilization of Acetylcholinesterase enzyme into an artificial membrane enzymatically inactive. The results make possible the characterization and prediction of system behavior as well as a qualitative analysis of the system stability via bifurcation diagrams. The model is then extrapolated to a distributed system in order to analyze its spatio-temporal behavior. Numerical results make possible the assessment of the concentration profile of the chemical species on space and time, what is not directly observable by biochemists. Finally, we study a model developed for a network of Sinorhizobium meliloti bacterium and propose an algorithm for intracellular fluxes estimation." @default.
- W597788320 created "2016-06-24" @default.
- W597788320 creator A5002617767 @default.
- W597788320 date "2008-01-01" @default.
- W597788320 modified "2023-09-24" @default.
- W597788320 title "Identification des mécanismes en boucle fermée dans le comportement cellulaire" @default.
- W597788320 hasPublicationYear "2008" @default.
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