Abstract
The adaptation of microorganisms to their environment is controlled at the molecular level by large and complex networks of biochemical reactions involving genes, RNAs, proteins, metabolites, and small signalling molecules. In theory, it is possible to write down mathematical models of these networks, and study these by means of classical analysis and simulation tools. In practice, this is not easy to achieve though, as quantitative data on kinetic parameters are usually absent for most systems of biological interest. Moreover, the models consist of a large number of variables, are strongly nonlinear and include different time-scales, which make them difficult to handle both mathematically and computationally.
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© 2008 Springer-Verlag Berlin Heidelberg
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de Jong, H. (2008). Qualitative Modeling and Simulation of Bacterial Regulatory Networks. In: Heiner, M., Uhrmacher, A.M. (eds) Computational Methods in Systems Biology. CMSB 2008. Lecture Notes in Computer Science(), vol 5307. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88562-7_1
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DOI: https://doi.org/10.1007/978-3-540-88562-7_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88561-0
Online ISBN: 978-3-540-88562-7
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