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Architectural Principles for Characterizing the Performance of Antithetic Integral Feedback Networks
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 archi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479019/ https://www.ncbi.nlm.nih.gov/pubmed/31015073 http://dx.doi.org/10.1016/j.isci.2019.04.004 |
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author | Olsman, Noah Xiao, Fangzhou Doyle, John C. |
author_facet | Olsman, Noah Xiao, Fangzhou Doyle, John C. |
author_sort | Olsman, Noah |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6479019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-64790192019-04-26 Architectural Principles for Characterizing the Performance of Antithetic Integral Feedback Networks Olsman, Noah Xiao, Fangzhou Doyle, John C. iScience Article 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. Elsevier 2019-04-08 /pmc/articles/PMC6479019/ /pubmed/31015073 http://dx.doi.org/10.1016/j.isci.2019.04.004 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Olsman, Noah Xiao, Fangzhou Doyle, John C. Architectural Principles for Characterizing the Performance of Antithetic Integral Feedback Networks |
title | Architectural Principles for Characterizing the Performance of Antithetic Integral Feedback Networks |
title_full | Architectural Principles for Characterizing the Performance of Antithetic Integral Feedback Networks |
title_fullStr | Architectural Principles for Characterizing the Performance of Antithetic Integral Feedback Networks |
title_full_unstemmed | Architectural Principles for Characterizing the Performance of Antithetic Integral Feedback Networks |
title_short | Architectural Principles for Characterizing the Performance of Antithetic Integral Feedback Networks |
title_sort | architectural principles for characterizing the performance of antithetic integral feedback networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479019/ https://www.ncbi.nlm.nih.gov/pubmed/31015073 http://dx.doi.org/10.1016/j.isci.2019.04.004 |
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