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Complexity of Biochemical and Genetic Responses Reduced Using Simple Theoretical Models

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Systems Biology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1702))

Abstract

Living systems are known to behave in a complex and sometimes unpredictable manner. Humans, for a very long time, have been intrigued by nature, and have attempted to understand biological processes and mechanisms using numerous experimental and mathematical techniques. In this chapter, we will look at simple theoretical models, using both linear and nonlinear differential equations, that realistically capture complex biochemical and genetic responses of living cells. Even for cases where cellular behaviors are stochastic, as for single-cell responses, randomness added to well-defined deterministic models has elegantly been shown to be useful. The data collectively present evidence for further exploration of the self-organizing rules and laws of living matter.

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Author information

Authors and Affiliations

  1. BioTrans, Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive Proteos, Singapore, 138673, Singapore

    Kumar Selvarajoo

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  1. Kumar Selvarajoo
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Correspondence to Kumar Selvarajoo .

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Editors and Affiliations

  1. Department of Experimental Medicine, Systems Biology Group Lab, Sapienza University of Rome, Rome, Italy

    Mariano Bizzarri

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Selvarajoo, K. (2018). Complexity of Biochemical and Genetic Responses Reduced Using Simple Theoretical Models. In: Bizzarri, M. (eds) Systems Biology. Methods in Molecular Biology, vol 1702. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7456-6_9

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  • DOI: https://doi.org/10.1007/978-1-4939-7456-6_9

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7455-9

  • Online ISBN: 978-1-4939-7456-6

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