DocumentCode
3073079
Title
Enzyme Relational Network Reveals Target Enzymes within Metabolic Submodules
Author
Liamwirat, Chalothorn ; Cheevadthanarak, Supapon ; Meechai, Asawin ; Bhumiratana, Sakarindr
Author_Institution
Div. of Biotechnol., King Mongkut´´s Univ. of Technol., Bangkok, Thailand
fYear
2009
fDate
22-24 June 2009
Firstpage
388
Lastpage
391
Abstract
Identification of enzyme targets for metabolic engineering requires a global view of the functional relationship among enzymes within metabolic network. In this paper, we propose a method to construct an enzyme relational network based on the significant effect of the rate change of one reaction on the rate of another reaction. We illustrate the method by using a kinetic model to formulate the enzyme relational network of the sucrose-to-starch conversion process. The network obtained shows two separate submodules, one of which possesses the enzymes located in cytosol; the other, in amyloplast. The network reveals that ADP-glucose pyrophosphorylase and inorganic pyrophosphatase are potential target enzymes for metabolic engineering to improve starch yield.
Keywords
biochemistry; bioinformatics; enzymes; molecular biophysics; reaction kinetics theory; ADP-glucose pyrophosphorylase; amyloplast; cytosol; enzyme relational network; inorganic pyrophosphatase; kinetic model; metabolic network; metabolic submodules; sucrose-to-starch conversion; target enzymes; Biochemistry; Bioinformatics; Biomedical engineering; Biotechnology; Chemical engineering; Chemical technology; Electronic mail; Kinetic theory; Organisms; Steady-state; enzyme network; kinetic model; starch biosynthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and BioEngineering, 2009. BIBE '09. Ninth IEEE International Conference on
Conference_Location
Taichung
Print_ISBN
978-0-7695-3656-9
Type
conf
DOI
10.1109/BIBE.2009.32
Filename
5211232
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