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Advances in Unconventional Computing pp 61–83Cite as

Modeling and Modifying Response of Biochemical Processes for Biocomputing and Biosensing Signal Processing

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Part of the book series: Emergence, Complexity and Computation ((ECC,volume 23))

Abstract

Processes involving multi-input multi-step reaction cascades are used in developing novel biosensing, biocomputing, and decision making systems. In various applications different changes in responses of the constituent processing steps (reactions) in a cascade are desirable in order to allow control of the system’s response. Here we consider conversion of convex response to sigmoid by “intensity filtering,” as well as “threshold filtering,” and we offer a general overview of this field of research. Specifically, we survey rate equation modelling that has been used for enzymatic reactions. This allows us to design modified biochemical processes as “network components” with responses desirable in applications.

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Acknowledgments

The authors thank their many colleagues [3, 6, 30, 32, 43, 44, 56–59, 63, 73, 82, 84–95, 122–124], notably, Prof. E. Katz, for collaborative teamwork. They also gratefully acknowledge funding of the research work reviewed here by the US National Science Foundation, most recently under award CBET-1403208.

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  1. Department of Physics, Clarkson University, Potsdam, NY, 13676, USA

    Sergii Domanskyi & Vladimir Privman

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  1. Sergii Domanskyi
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    Andrew Adamatzky

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Domanskyi, S., Privman, V. (2017). Modeling and Modifying Response of Biochemical Processes for Biocomputing and Biosensing Signal Processing. In: Adamatzky, A. (eds) Advances in Unconventional Computing. Emergence, Complexity and Computation, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-319-33921-4_3

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