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Architectural Principles for Characterizing the Performance of Antithetic Integral Feedback Networks

Olsman, Noah and Xiao, Fangzhou and Doyle, John C. (2019) Architectural Principles for Characterizing the Performance of Antithetic Integral Feedback Networks. iScience, 14 . pp. 277-291. ISSN 2589-0042. PMCID PMC6479019. http://resolver.caltech.edu/CaltechAUTHORS:20180927-114225624

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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 theoretical 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 a sequestration feedback circuit architecture. Further, we demonstrate how these principles can be applied to inform the design process of a particular synthetic feedback circuit.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.isci.2019.04.004DOIArticle
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479019PubMed CentralArticle
https://doi.org/10.1101/428300DOIDiscussion Paper
ORCID:
AuthorORCID
Olsman, Noah0000-0002-4351-3880
Xiao, Fangzhou0000-0002-5001-5644
Doyle, John C.0000-0002-1828-2486
Alternate Title:Architectural Principles for Characterizing the Performance of Sequestration Feedback Networks
Additional Information:© 2019 The Author(s). Under a Creative Commons license (Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)). Received 26 September 2018, Revised 14 March 2019, Accepted 1 April 2019, Available online 8 April 2019. The authors would like to thank Harry Nunns for providing feedback on the manuscript, Anandh Swaminathan for helping with stochastic simulations, and Reed McCardell for providing insight into the synthetic growth circuit. The project was sponsored by the Defense Advanced Research Projects Agency (Agreement HR0011-17-2-0008). The content of the information does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred. Author Contributions: N.O. and F.X. conceived of and performed analysis, wrote the maunscript, and wrote code for simulations and figures. J.C.D. supervised the work, gave feedback on the manuscript, and and provided funding. Supplementary code is provided which was used to generate the figures in the paper. The authors declare no competing interests.
Funders:
Funding AgencyGrant Number
Defense Advanced Research Projects Agency (DARPA)HR0011-17-2-0008
PubMed Central ID:PMC6479019
Record Number:CaltechAUTHORS:20180927-114225624
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20180927-114225624
Official Citation:Noah Olsman, Fangzhou Xiao, John C. Doyle, Architectural Principles for Characterizing the Performance of Antithetic Integral Feedback Networks, iScience, Volume 14, 2019, Pages 277-291, ISSN 2589-0042, https://doi.org/10.1016/j.isci.2019.04.004. (http://www.sciencedirect.com/science/article/pii/S2589004219301014)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:90017
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:27 Sep 2018 20:12
Last Modified:30 Apr 2019 19:19

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