Abstract
Evolutionary forces will affect the structure of metabolic networks and their dynamic behaviors. To examine this hypothesis, in this work we investigate the relationship between the complexity of the metabolic glycolytic networks and the stability of the networks in different cells. By deriving the stoichiometrix from the FBA methods, we develop the models for Sce, Dmgr, Dsmi and Pic in fungi. Based on these models, we analyze the stability of the networks. The results show that the metabolic networks are more complicated with more stable ones.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Steuer, R.: Computational approaches to the topology, stability and dynamics of metabolic networks. Phytochemistry 68, 2139–2151 (2007)
Grimbs, S., Selbig, J., Bulik, S., Holzhütter, H.G., Steuer, R.: The stability and robustness of metabolic states: identifying stabilizing sites in metabolic networks. Molecular Systems Biology 3, 146 (2007)
Mahadevan, M., Edwards, J.S., Doyle, F.J.: Dynamic flux balance analysis of diauxic growth in Escherichia coli. Biophy. J. 83, 1331–1340 (2002)
Varma, A., Palsson, B.O.: Metabolic flux balancing: Basic concepts, scientific and practical use. Bio. Tech. 12, 994–998 (1994)
Hynne, F., Danø, S., Sørensen, P.G.: Full-scale model of glycolysis in Saccharomyces cerevisiae. Biophy. Chem 94, 121–163 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Zhou, Q., Peng, G., Jin, L., Xiong, M. (2009). The Results on the Stability of Glycolytic Metabolic Networks in Different Cells. In: Zhou, J. (eds) Complex Sciences. Complex 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02466-5_51
Download citation
DOI: https://doi.org/10.1007/978-3-642-02466-5_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02465-8
Online ISBN: 978-3-642-02466-5
eBook Packages: Computer ScienceComputer Science (R0)