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Studying NF-κB Signaling with Mathematical Models

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NF-kappa B

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1280))

Abstract

Mathematical modeling of NF-κB signaling can be employed to understand how the network of molecular interactions leads to signaling phenomena observed experimentally. Model construction is a challenging process; however, existing models can be utilized and can provide a great deal of insight quickly and inexpensively. The simulation of various inputs and the identification of potential therapeutic targets using the mathematical model are detailed here.

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Author information

Author notes

    Authors and Affiliations

    1. Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA, 90025, USA

      Simon Mitchell & Alexander Hoffmann

    2. Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, 90025, USA

      Simon Mitchell & Alexander Hoffmann

    3. Signaling Systems Laboratory, University of California, San Diego, 9500 Gilman Dr, La Jolla, CA, 92093, USA

      Rachel Tsui & Alexander Hoffmann

    4. San Diego Center for Systems Biology, University of California, San Diego, 9500 Gilman Dr, La Jolla, CA, 92093, USA

      Rachel Tsui & Alexander Hoffmann

    Authors
    1. Simon Mitchell
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    2. Rachel Tsui
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    3. Alexander Hoffmann
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    Corresponding author

    Correspondence to Alexander Hoffmann .

    Editor information

    Editors and Affiliations

    1. Department of Animal Biology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, Pennsylvania, USA

      Michael J. May

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    © 2015 Springer Science+Business Media New York

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    Mitchell, S., Tsui, R., Hoffmann, A. (2015). Studying NF-κB Signaling with Mathematical Models. In: May, M. (eds) NF-kappa B. Methods in Molecular Biology, vol 1280. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-2422-6_38

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    • DOI: https://doi.org/10.1007/978-1-4939-2422-6_38

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    • Publisher Name: Humana Press, New York, NY

    • Print ISBN: 978-1-4939-2421-9

    • Online ISBN: 978-1-4939-2422-6

    • eBook Packages: Springer Protocols

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