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Architectural Principles for Characterizing the Performance of Antithetic Integral Feedback Networks.
Olsman, Noah; Xiao, Fangzhou; Doyle, John C.
Affiliation
  • Olsman N; Department of Control and Dynamical Systems, California Institute of Technology, 1200 E. California Boulevard, Pasadena, CA 91125, USA; Department of Systems Biology, Harvard Medical School, 200 Longwood Avenue, Boston, MA 02215, USA. Electronic address: noah_olsman@hms.harvard.edu.
  • Xiao F; Division of Biology and Biological Engineering, California Institute of Technology, 1200 E. California Boulevard, Pasadena, CA 91125, USA.
  • Doyle JC; Department of Control and Dynamical Systems, California Institute of Technology, 1200 E. California Boulevard, Pasadena, CA 91125, USA; Division of Biology and Biological Engineering, California Institute of Technology, 1200 E. California Boulevard, Pasadena, CA 91125, USA.
iScience ; 14: 277-291, 2019 Apr 26.
Article in En | MEDLINE | ID: mdl-31015073
ABSTRACT
As we begin to design increasingly complex synthetic biomolecular systems, it is essential to develop rational design methodologies that yield predictable circuit performance. Here we apply mathematical tools from the theory of control and dynamical systems to yield practical insights into the architecture and function of a particular class of biological feedback circuit. Specifically, we show that it is possible to analytically characterize both the operating regime and performance tradeoffs of an antithetic integral feedback circuit architecture. Furthermore, we demonstrate how these principles can be applied to inform the design process of a particular synthetic feedback circuit.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: IScience Year: 2019 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: IScience Year: 2019 Type: Article