Work

Architectural Principles for Characterizing the Performance of Antithetic Integral Feedback Networks

Year: 2019

Type: article

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.

Source: iScience

DOI: 10.1016/j.isci.2019.04.004

Authors: Noah Olsman, Fangzhou Xiao, John C. Doyle

Institutions: California Institute of Technology, Harvard University

Language: English

Topic: Gene Regulatory Network Analysis

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $3,000

Funders: Defense Advanced Research Projects Agency, Advanced Research Projects Agency