How retroactivity impacts the robustness of genetic networks
Author(s)Mou, Shaoshuai; Del Vecchio, Domitilla
MetadataShow full item record
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.
DepartmentMassachusetts Institute of Technology. Department of Mechanical Engineering
2015 54th IEEE Conference on Decision and Control (CDC)
Institute of Electrical and Electronics Engineers (IEEE)
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.
Author's final manuscript