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Modeling Biomolecular Site Dynamics in Immunoreceptor Signaling Systems

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A Systems Biology Approach to Blood

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 844))

Abstract

The immune system plays a central role in human health. The activities of immune cells, whether defending an organism from disease or triggering a pathological condition such as autoimmunity, are driven by the molecular machinery of cellular signaling systems. Decades of experimentation have elucidated many of the biomolecules and interactions involved in immune signaling and regulation, and recently developed technologies have led to new types of quantitative, systems-level data. To integrate such information and develop nontrivial insights into the immune system, computational modeling is needed, and it is essential for modeling methods to keep pace with experimental advances. In this chapter, we focus on the dynamic, site-specific, and context-dependent nature of interactions in immunoreceptor signaling (i.e., the biomolecular site dynamics of immunoreceptor signaling), the challenges associated with capturing these details in computational models, and how these challenges have been met through use of rule-based modeling approaches.

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Acknowledgments

We thank Byron Goldstein for helpful discussions. We acknowledge support from NIH grant P50 GM085273. L.A.C. acknowledges support from the Center for Nonlinear Studies that made visits to Los Alamos possible.

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Authors and Affiliations

  1. Department of Chemistry and Chemical Biology, Cornell University, 14853, Ithaca, NY, USA

    Lily A. Chylek BGS

  2. Department of Pathology, University of New Mexico School of Medicine, 87131, Albuquerque, NM, USA

    Bridget S. Wilson PhD

  3. Los Alamos National Laboratory, Mail Stop K710, T-6, Los Alamos, NM, 87545, USA

    William S. Hlavacek PhD

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Correspondence to William S. Hlavacek PhD .

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Editors and Affiliations

  1. Departments of Pediatrics and Cell & Molecular Biology, Northwestern University Feinberg School of Medicine and Lurie Children’s Hospital of Chicago, Chicago, Illinois, USA

    Seth Joel Corey

  2. Department of Statistics, Rice University, Houston, Texas, USA

    Marek Kimmel

  3. Northwestern University Comprehensive Cancer Center, Evanston, Illinois, USA

    Joshua N. Leonard

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© 2014 Springer Science+Business Media New York

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Chylek, L., Wilson, B., Hlavacek, W. (2014). Modeling Biomolecular Site Dynamics in Immunoreceptor Signaling Systems. In: Corey, S., Kimmel, M., Leonard, J. (eds) A Systems Biology Approach to Blood. Advances in Experimental Medicine and Biology, vol 844. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2095-2_12

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