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| Title: | AUTOMATICALLY GENERATED MODEL OF A METABOLIC NETWORK | |
| DOI No: | 10.1142/9781860949920_0021 | |
| Source: | GENOME INFORMATICS 2007 Genome Informatics Series Vol. 18 (pp 215-224) |
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| Author(s): | SIMON BORGER
Max Planck Institute for Molecular Genetics, Berlin, Germany WOLFRAM LIEBERMEISTER Max Planck Institute for Molecular Genetics, Berlin, Germany JANNIS UHLENDORF Max Planck Institute for Molecular Genetics, Berlin, Germany EDDA KLIPP Max Planck Institute for Molecular Genetics, Berlin, Germany |
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| Abstract: | We demonstrate an approach to automatically generating kinetic models of metabolic networks. In a first step, the metabolic network is characterised by its stoichiometric structure. Then to each reaction a kinetic equation is associated describing the metabolic flux. For the kinetics we use a formula that is universally applicable to reactions with arbitrary numbers of substrates and products. Last, the kinetics of the reactions are assigned parameters. The resulting model in SBML format can be fed into standard simulation tools. The approach is applied to the sulphur-glutathione-pathway in Saccharomyces cerevisiae. | |
| Keywords: | Metabolic networks; systems biology; parameter estimation; data integration; sulphur-glutathione pathway; Bayesian data analysis |
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| Full Text: | View full text in PDF format (596KB) | |
| TOC: | Back to Table of Contents | |
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