How retroactivity impacts the robustness of genetic networks
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Del Vecchio_How retroactivity.pdf
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384.22 KB
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Author(s)
Mou, Shaoshuai
Del Vecchio, Domitilla
Date Issued
February 2016
Journal
2015 54th IEEE Conference on Decision and Control (CDC)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Mou, Shaoshuai and Del Vecchio, Domitilla. “How Retroactivity Impacts the Robustness of Genetic Networks.” 2015 54th IEEE Conference on Decision and Control (CDC), December 15-18 2015, Osaka, Japan, Institute of Electrical and Electronics Engineers (IEEE), December 2015.
Version
Author's final manuscript
Abstract
This paper studies how retroactivity impacts the robustness of gene transcription networks against parameter perturbations. By employing the linearization technique and the real stability radius, we provide comparisons of the robustness between gene transcription networks with retroactivity and ones without retroactivity. Both numerical and analytical results show that retroactivity tends to decrease such robustness. This finding in turn implies that modular genetic networks tend to be more robust against parameter perturbations.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1109/CDC.2015.7402431
