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Automatic Control in Systems Biology

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Springer Handbook of Automation

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Abstract

Reductionist approaches toward molecular and cellular biology have greatly advanced our understanding of biological function and information processing. To better map molecular components to systems-level understanding and emergent function, the relatively new field of systems biology was established. Systems biology enables the analysis of complex functions in networked biological systems using integrative (rather than reductionist) approaches, leveraging many principles, tools, and best practices common to control theory. Systems biology requires effective collaboration between experimental, theoretical, and computational scientists/engineers to effectively execute the tightly iterative design-build-test cycle that is critical to the understanding, development, and control of biological models. This chapter summarizes new developments of automatic control in systems biology, providing illustrative examples as well as theoretical background for select case studies.

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Acknowledgements

The authors would like to acknowledge Dr. Jessica S. Yu for support in developing Figs. 55.1, 55.2, and 55.3. The authors would also like to acknowledge McCormick School of Engineering at Northwestern University and the Washington Research Foundation at University of Washington for their financial support. The authors also acknowledge contributions from Mirksy et al. [81], which provide historical context and rigorous review of core subject matter that comprise the foundation of this chapter.

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Authors and Affiliations

  1. Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA

    Narasimhan Balakrishnan

  2. Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA

    Neda Bagheri

  3. Departments of Biology and Chemical Engineering, University of Washington, Seattle, WA, USA

    Neda Bagheri

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  1. Narasimhan Balakrishnan
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  2. Neda Bagheri
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Correspondence to Narasimhan Balakrishnan or Neda Bagheri .

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    Shimon Y. Nof

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    Balakrishnan, N., Bagheri, N. (2023). Automatic Control in Systems Biology. In: Nof, S.Y. (eds) Springer Handbook of Automation. Springer Handbooks. Springer, Cham. https://doi.org/10.1007/978-3-030-96729-1_55

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