DocumentCode
2514264
Title
New Results on Cell Metabolic Networks
Author
Zhou, Qinghua ; Li, Yan ; Xiong, Momiao
Author_Institution
Coll. of Math. & Comput., Hebei Univ., Baoding, China
fYear
2009
fDate
11-13 June 2009
Firstpage
1
Lastpage
4
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 complication of the metabolic glycolytic networks and the production of important metabolites in different cells. Specially, we simulate the models about See, Dmgr, Dsmi, Pic in fungi; We develop the metabolic networks models of them by using the Michaelis-Menten equations which are rewritten by adding control variables to each biochemical reactions combined with mathematical methods. The results show that, more complicated the metabolic networks are, higher the yield of the production of important metabolites is.
Keywords
biochemistry; cellular biophysics; enzymes; molecular biophysics; Michaelis-Menten equations; biochemical reactions; cell metabolic networks; fungi; metabolic glycolytic network complication; metabolic network dynamic behavior; metabolic network structure; metabolite production; Biochemical analysis; Biochemistry; Biological system modeling; Equations; Fungi; Kinetic theory; Mathematical model; Mathematics; Optimal control; Production;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2901-1
Electronic_ISBN
978-1-4244-2902-8
Type
conf
DOI
10.1109/ICBBE.2009.5163104
Filename
5163104
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