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groups:steuer:research [2017/02/20 13:31] – [Understanding Phototrophic Growth] steuer | groups:steuer:research [2017/08/12 13:41] (current) – [Dynamics in Large-Scale Metabolic Networks] steuer | ||
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**Further reading: | **Further reading: | ||
* Westermark S and Steuer R (2016) **[[http:// | * Westermark S and Steuer R (2016) **[[http:// | ||
- | * Ruegen M, Bockmayr A, Steuer R. (2015) **[[http:// | + | * Reimers AM, Knoop H, Bockmayr A, Steuer R. (2017) **[[https:// |
* H. Knoop, M. Gruendel, Y. Zilliges, R. Lehmann, S. Hoffmann, W. Lockau, R. Steuer. (2013) **[[http:// | * H. Knoop, M. Gruendel, Y. Zilliges, R. Lehmann, S. Hoffmann, W. Lockau, R. Steuer. (2013) **[[http:// | ||
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- | ==== Dynamics | + | ==== The Nonlinear |
{{groups/ | {{groups/ | ||
One of the most challenging goals of computational systems biology is the development of large-scale kinetic models of cellular pathways. However, for most cellular networks, detailed kinetic modeling is not possible due to lack of knowledge kinetic parameters. To overcome some of these problems, we are interested in novel methods that allow the elucidation of large-scale metabolic networks in the face of uncertain and incomplete information. Recent work includes novel approaches that provide a bridge between stoichiometric analysis and explicit kinetic simulations. Without requiring knowledge about the explicit functional form of the kinetic rate equations and parameters, these methods seek to describe the possible dynamics of cellular networks. | One of the most challenging goals of computational systems biology is the development of large-scale kinetic models of cellular pathways. However, for most cellular networks, detailed kinetic modeling is not possible due to lack of knowledge kinetic parameters. To overcome some of these problems, we are interested in novel methods that allow the elucidation of large-scale metabolic networks in the face of uncertain and incomplete information. Recent work includes novel approaches that provide a bridge between stoichiometric analysis and explicit kinetic simulations. Without requiring knowledge about the explicit functional form of the kinetic rate equations and parameters, these methods seek to describe the possible dynamics of cellular networks. |