Design constraints for biological systems that achieve adaptation and disturbance rejection

Many processes in natural biological systems, such as chemotaxis in bacteria and osmoregulation in yeast, rely on control architectures fundamentally equivalent to commonly used motifs from electrical and control engineering. However, difficulties arise when designing and implementing these architec...

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Main Authors: Steel, H, Papachristodoulou, A
Format: Journal article
Published: IEEE 2018
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author Steel, H
Papachristodoulou, A
author_facet Steel, H
Papachristodoulou, A
author_sort Steel, H
collection OXFORD
description Many processes in natural biological systems, such as chemotaxis in bacteria and osmoregulation in yeast, rely on control architectures fundamentally equivalent to commonly used motifs from electrical and control engineering. However, difficulties arise when designing and implementing these architectures in a biological context due to uncertainties inherent in the behaviour of biological systems, and physical limitations of the available parts. In this paper we discuss recent developments in the study of biological control systems, which are increasingly necessary for realisation of complex synthetic biological constructs, focusing on methods for their design and implementation. We establish a range of desirable properties that ease implementation of biological constructs, and apply classical control theory to derive a set of constraints to aid the design of systems that achieve adaptation or disturbance rejection. We demonstrate how these constraints can be used in practice, first deriving the necessary structure for a linear system that achieves adaptation, and then embedding this in a non-linear model of biological relevance that could be built in the laboratory.
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spelling oxford-uuid:98602124-8684-4423-8e6c-ed1813197cbe2022-03-27T00:06:31ZDesign constraints for biological systems that achieve adaptation and disturbance rejectionJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:98602124-8684-4423-8e6c-ed1813197cbeSymplectic Elements at OxfordIEEE2018Steel, HPapachristodoulou, AMany processes in natural biological systems, such as chemotaxis in bacteria and osmoregulation in yeast, rely on control architectures fundamentally equivalent to commonly used motifs from electrical and control engineering. However, difficulties arise when designing and implementing these architectures in a biological context due to uncertainties inherent in the behaviour of biological systems, and physical limitations of the available parts. In this paper we discuss recent developments in the study of biological control systems, which are increasingly necessary for realisation of complex synthetic biological constructs, focusing on methods for their design and implementation. We establish a range of desirable properties that ease implementation of biological constructs, and apply classical control theory to derive a set of constraints to aid the design of systems that achieve adaptation or disturbance rejection. We demonstrate how these constraints can be used in practice, first deriving the necessary structure for a linear system that achieves adaptation, and then embedding this in a non-linear model of biological relevance that could be built in the laboratory.
spellingShingle Steel, H
Papachristodoulou, A
Design constraints for biological systems that achieve adaptation and disturbance rejection
title Design constraints for biological systems that achieve adaptation and disturbance rejection
title_full Design constraints for biological systems that achieve adaptation and disturbance rejection
title_fullStr Design constraints for biological systems that achieve adaptation and disturbance rejection
title_full_unstemmed Design constraints for biological systems that achieve adaptation and disturbance rejection
title_short Design constraints for biological systems that achieve adaptation and disturbance rejection
title_sort design constraints for biological systems that achieve adaptation and disturbance rejection
work_keys_str_mv AT steelh designconstraintsforbiologicalsystemsthatachieveadaptationanddisturbancerejection
AT papachristodouloua designconstraintsforbiologicalsystemsthatachieveadaptationanddisturbancerejection