Modeling of Cellular Processes: Methods, Data, and Requirements

  • Thomas Millat
  • Olaf Wolkenhauer
  • Ralf-Jörg Fischer
  • Hubert Bahl
Part of the Methods in Molecular Biology book series (MIMB, volume 696)


Systems biology is a comprehensive quantitative analysis how the components of a biological system interact over time which requires an interdisciplinary team of investigators. System-theoretic methods are applied to investigate the system’s behavior. Using known information about the considered system, a conceptual model is defined. It is transferred in a mathematical model that can be simulated (analytically or numerically) and analyzed using system-theoretic tools. Finally, simulation results are compared with experimental data. However, assumptions, approximations, and requirements to available experimental data are crucial ingredients of this systems biology workflow. Consequently, the modeling of cellular processes creates special demands on the design of experiments: the quality, the amount, and the completeness of data. The relation between models and data is discussed in this chapter. Thereby, we focus on the requirements on experimental data from the perspective of systems biology projects.


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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Thomas Millat
    • 1
  • Olaf Wolkenhauer
    • 1
  • Ralf-Jörg Fischer
    • 2
  • Hubert Bahl
    • 2
  1. 1.Systems Biology & Bioinformatics, Institute of Computer ScienceUniversity of RostockRostockGermany
  2. 2.Division of Microbiology, Institute of Biological SciencesUniversity of RostockRostockGermany

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