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 ac
The Organization of Metabolic Reaction Networks: A Signal-Oriented Approach to Cellular Models
β Scribed by A. Kremling; K. Jahreis; J.W. Lengeler; E.D. Gilles
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 560 KB
- Volume
- 2
- Category
- Article
- ISSN
- 1096-7176
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β¦ Synopsis
Complex metabolic networks are characterized by a great number of elements and many regulatory loops. The description of these networks with mathematical models requires the definition of functional units that group together several cellular processes. The approach presented here is based on the idea that cellular functional units may be assigned directly to mathematical modeling objects. Because the proposed modeling objects have defined inputs and outputs, they can be connected with other modeling objects until eventually the whole metabolism is covered. This modular approach guarantees a high transparency for biologists as well as for engineers. Three criteria are introduced to demarcate functional units. The criteria consider the physiological pathways, the organization of the corresponding genes, and the observation that cellular systems can be structured into units showing a hierarchy of signal transduction and processing. As an example, the carbon catabolic reactions in Escherichia coli are discussed as members of a functional unit catabolism.
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