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
Link To Document :
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