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Tuning of Physiological Controller Motifs

Kristian Thorsen
Department of Electrical Engineering and Computer Science, University of Stavanger, Norway

Geir B. Risvoll
Department of Electrical Engineering and Computer Science, University of Stavanger, Norway

Daniel M. Tveit
Department of Electrical Engineering and Computer Science, University of Stavanger, Norway

Peter Ruoff
Center for Organelle Research, University of Stavanger, Norway

Tormod Drengstig
Department of Electrical Engineering and Computer Science, University of Stavanger, Norway

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp1714231

Ingår i: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Linköping Electronic Conference Proceedings 142:5, s. 31-37

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Publicerad: 2018-12-19

ISBN: 978-91-7685-399-3

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

Genetic manipulation is increasingly used to ?ne tune organisms like bacteria and yeast for production of chemical compounds such as biofuels and pharmaceuticals. The process of creating the optimal organism is dif?cult as manipulation may destroy adaptation and compensation mechanisms that have been tuned by evolution to keep the organisms ?t. The continued progress in synthetic biology depends on our ability to understand, manipulate, and tune these mechanisms. Concepts from control theory and control engineering are very applicable to these challenges. From a control theoretic viewpoint, disturbances rejection and set point tracking describe how adaptation mechanisms relate to perturbations and to signaling events. In this paper we investigate a set regulatory mechanisms in the form of biochemical reaction schemes, so called controller motifs. We show how parameters related to the molecular and kinetic mechanisms in?uence on the dynamical behavior of disturbance rejection and set point tracking of each controller motif. This gives insight into how a molecular controller motif can be tuned to a speci?ed regulatory response.

Nyckelord

bioengineering, biological systems, adaptation

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