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  The organization of metabolic reaction networks - II. Signal processing in hierarchical structured functional units

Kremling, A., & Gilles, E. D. (2001). The organization of metabolic reaction networks - II. Signal processing in hierarchical structured functional units. Metabolic Engineering, 3(2), 138-150. doi:10.1006/mben.2000.0175.

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Genre: Journal Article
Alternative Title : Metab. Eng.

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 Creators:
Kremling, A.1, Author           
Gilles, E. D.1, Author           
Affiliations:
1Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738155              

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 Abstract: Based on the analysis of molecular interactions of proteins with DNA binding sites, a new approach to developing mathematical models describing gene expression is introduced. Detection of hierarchical structures in metabolic networks can be used to decompose complex reaction schemes. This will be achieved by assigning each regulator protein to one level in the hierarchy. Signals are then transduced from the top level to the lower level, but not vice versa. The method is shown by a simple example with two interacting proteins. A comparison of simulation results shows good agreement between a model taking all interactions into account and a model developed with the new approach. Finally, the method is applied to the crpA modulon in Escherichia coli, which controls uptake and metabolism for a number of carbohydrates. Here, RNA polymerase represents the top level, CrpA the second level, and the lactose-specific repressor LacI the lowest level, respectively. Besides the lactose operon, the method is applied to the adenylate cyclase gene and the gene for the regulator CrpA. (C) 2001 Academic Press. [accessed 2014 October 16]

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Language(s): eng - English
 Dates: 2001
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 13751
DOI: 10.1006/mben.2000.0175
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Title: Metabolic Engineering
  Alternative Title : Metab. Eng.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 3 (2) Sequence Number: - Start / End Page: 138 - 150 Identifier: ISSN: 1096-7176