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Modeling: Choosing a Kinetics

  • Mario Andrea Marchisio
Chapter
Part of the Learning Materials in Biosciences book series (LMB)

Abstract

The concept of mathematical model is generally new to students of Life Sciences. Biological systems are usually described with cartoon schemes that only illustrate the interactions among different species. A model – as it is conceived in physics – is a mathematical representation that permits to predict the dynamics of a system (i.e. how species concentrations change over a given time interval) under precise assumptions and after defining the system initial conditions. The notion of predictive and quantitative model is here clarified with an example from classical physics.

References

  1. 24.
    S. Hoops, S. Sahle, R. Gauges, C. Lee, J. Pahle, N. Simus, M. Singhal, L. Xu, P. Mendes, U. Kummer, COPASI – a COmplex PAthway SImulator. Bioinformatics 22(24), 3067–3074 (2006)CrossRefGoogle Scholar
  2. 31.
    B. Lewin, Genes VII (Oxford University Press, New York, 2000)Google Scholar
  3. 32.
    M.A. Marchisio, Parts & pools: a framework for modular design of synthetic gene circuits. Front. Bioeng. Biotechnol. 2, 42 (2014)CrossRefGoogle Scholar
  4. 33.
    M.A. Marchisio, J. Stelling, Computational design of synthetic gene circuits with composable parts. Bioinformatics 24(17), 1903–1910 (2008)CrossRefGoogle Scholar
  5. 40.
    K.F. Murphy, G. Balázsi, J.J. Collins, Combinatorial promoter design for engineering noisy gene expression. Proc. Natl. Acad. Sci. USA 104(31), 12726–12731 (2007)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Mario Andrea Marchisio
    • 1
  1. 1.School of Life Science and TechnologyHarbin Institute of TechnologyHarbinChina

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