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Robust Optimal Design of Synthetic Biological Networks

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Synthetic Gene Networks

Part of the book series: Methods in Molecular Biology ((MIMB,volume 813))

Abstract

In engineering, the use of mathematical modeling for design purposes has a long history. Long before any technical realization, a system is planned, simulated, and tested extensively on the computer. In biosciences, however, the application of model-based design before going to the wet lab is still rather rare but has particularly high potential in synthetic biology. We demonstrate exemplarily how mathematical modeling and numerical optimization can be used for the design of a circadian rhythm that is supposed to oscillate robustly with respect to uncertainty in system parameters.

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Author information

Authors and Affiliations

  1. Faculty of Biology, Centre for Biological Systems Analysis, University of Freiburg, Freiburg, Germany

    Dirk Lebiedz, Marcel Rehberg & Dominik Skanda

  2. Faculty of Mathematics and Physics, Department of Applied Mathematics, University of Freiburg, Freiburg, Germany

    Dirk Lebiedz, Marcel Rehberg & Dominik Skanda

Authors
  1. Dirk Lebiedz
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  2. Marcel Rehberg
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  3. Dominik Skanda
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Corresponding author

Correspondence to Dirk Lebiedz .

Editor information

Editors and Affiliations

  1. Inst. Biologie II, Zentrum für Biologische Signalstudien, Universität Freiburg, Stübeweg 51, Freiburg, 79108, Germany

    Wilfried Weber

  2. Dept. Ingenieurwissenschaften, Biosysteme (BSSE), ETH Zürich, Mattenstr. 26, Basel, 4058, Switzerland

    Martin Fussenegger

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Lebiedz, D., Rehberg, M., Skanda, D. (2012). Robust Optimal Design of Synthetic Biological Networks. In: Weber, W., Fussenegger, M. (eds) Synthetic Gene Networks. Methods in Molecular Biology, vol 813. Humana Press. https://doi.org/10.1007/978-1-61779-412-4_3

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  • DOI: https://doi.org/10.1007/978-1-61779-412-4_3

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  • Publisher Name: Humana Press

  • Print ISBN: 978-1-61779-411-7

  • Online ISBN: 978-1-61779-412-4

  • eBook Packages: Springer Protocols

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