Identification and analysis of metabolic networks given experimental data

Goal of this project is the development of efficient methods to optimize the kinetic parameters of metabolic pathway models. For this, problemspecific operators and algorithms have to be developed. Here, one main focus is on parallelization to reduce the computational complexity. The other crucial part is the separation of the problem into smaller subproblems in such a way that only a subset of parameters is optimized.

Optimization Algorithms

The new methods for the optimization of the kinetic model parameters are implemented in the existing framework JavaEvA that is developed in our research group.





[1] Andreas Dräger. Computational Modeling of Biochemical Networks. PhD thesis, University of Tuebingen, Tübingen, Germany, January 2011. [ details | link ]
[2] Andreas Dräger, Adrian Schröder, and Andreas Zell. Systems Biology for Signaling Networks, volume 1 of Systems Biology, chapter Automating mathematical modeling of biochemical reaction networks, pages 159-205. Springer-Verlag, July 2010. [ DOI | details | link ]

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