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. https://resolver.caltech.edu/CaltechAUTHORS:20180927-114225624
![[img]](https://authors.library.caltech.edu/style/images/fileicons/application_pdf.png) |
PDF
- Published Version
Creative Commons Attribution Non-commercial No Derivatives. 3MB |
|
PDF
- Submitted Version
Creative Commons Attribution Non-commercial No Derivatives. 950kB |
|
PDF (Document S1. Transparent Methods)
- Supplemental Material
Creative Commons Attribution Non-commercial No Derivatives. 81kB |
![[img]](https://authors.library.caltech.edu/style/images/fileicons/application_zip.png) |
Archive (ZIP) (Data S1. Source Code for Figures)
- Supplemental Material
Creative Commons Attribution Non-commercial No Derivatives. 1MB |
Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20180927-114225624
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: |
| ||||||||||||
| ORCID: |
| ||||||||||||
| 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: |
| ||||||||||||
| PubMed Central ID: | PMC6479019 | ||||||||||||
| Record Number: | CaltechAUTHORS:20180927-114225624 | ||||||||||||
| Persistent URL: | https://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: | 03 Oct 2019 20:21 |
Repository Staff Only: item control page
