Montefusco, Francesco, Akman, Ozgur E., Soyer, Orkun S. and Bates, Declan (2016) Ultrasensitive negative feedback control : a natural approach for the design of synthetic controllers. PLoS One, 11 (8). e0161605. doi:10.1371/journal.pone.0161605

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Abstract

Many of the most important potential applications of Synthetic Biology will require the ability to design and implement high performance feedback control systems that can accurately regulate the dynamics of multiple molecular species within the cell. Here, we argue that the use of design strategies based on combining ultrasensitive response dynamics with negative feedback represents a natural approach to this problem that fully exploits the strongly nonlinear nature of cellular information processing. We propose that such feedback mechanisms can explain the adaptive responses observed in one of the most widely studied biomolecular feedback systems—the yeast osmoregulatory response network. Based on our analysis of such system, we identify strong links with a well-known branch of mathematical systems theory from the field of Control Engineering, known as Sliding Mode Control. These insights allow us to develop design guidelines that can inform the construction of feedback controllers for synthetic biological systems.

Item Type:	Journal Article
Subjects:	Q Science > Q Science (General) T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Science > Engineering Faculty of Science > Life Sciences (2010- )
Library of Congress Subject Headings (LCSH):	Synthetic biology, Bioengineering, Feedback control systems, Sliding mode control
Journal or Publication Title:	PLoS One
Publisher:	Public Library of Science
ISSN:	1932-6203
Official Date:	18 August 2016
Dates:	Date Event 18 August 2016 Available 8 August 2016 Accepted 20 May 2016 Submitted
Date of first compliant deposit:	24 August 2016
Volume:	11
Number:	8
Article Number:	e0161605
DOI:	10.1371/journal.pone.0161605
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access
Funder:	Engineering and Physical Sciences Research Council (EPSRC)
Grant number:	EP/I017445/1

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