Construction of kinetic models for metabolic reaction networks: Lessons learned in analysing short-term stimulus response data

I. Emrah Nikerel Department of Biotechnology, Kluyver Centre for Genomics of Industrial Fermentation, Delft University of Technology, Julianalaan 67, 2628 BC, Delft, the Netherlands; The Delft Bioinformatics Lab, Department of Mediamatics, Delft University of Technology, Mekelweg 4, 2628 CD, Delft, The NetherlandsCorrespondence[email protected]

André B. Canelas Department of Biotechnology, Kluyver Centre for Genomics of Industrial Fermentation, Delft University of Technology, Julianalaan 67, 2628 BC, Delft, the Netherlands

Stefan J. Jol Department of Biotechnology, Kluyver Centre for Genomics of Industrial Fermentation, Delft University of Technology, Julianalaan 67, 2628 BC, Delft, the Netherlands; Institute of Molecular Systems Biology, ETH Zürich, Wolfgang-Pauli-Str. 16, 8093, Zurich, Switzerland

Peter J.T. Verheijen Department of Biotechnology, Kluyver Centre for Genomics of Industrial Fermentation, Delft University of Technology, Julianalaan 67, 2628 BC, Delft, the Netherlands

Joseph J. Heijnen Department of Biotechnology, Kluyver Centre for Genomics of Industrial Fermentation, Delft University of Technology, Julianalaan 67, 2628 BC, Delft, the Netherlands

Construction of kinetic models for metabolic reaction networks: Lessons learned in analysing short-term stimulus response data

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Construction of kinetic models for metabolic reaction networks: Lessons learned in analysing short-term stimulus response data

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