TY - JOUR
T1 - Robust bifurcation analysis for a genetic controller design problem for cell fate control
AU - Ikuta, Hikaru
AU - Inoue, Masaki
AU - Adachi, Shuichi
N1 - Funding Information:
⋆ This research is supported by the Grant-in-Aid for Challenging ⋆ This research is supported by the Grant-in-Aid for Challenging ExTphloirsarteosreyaRrcehseiasrcshu,ppNoor.t2e6d63b0y19t5hefroGmraJnSt-PinS-.Aid for Challenging This research is supported by the Grant-in-Aid for Exploratory Research, No.26630195 from JSPS.
Publisher Copyright:
© 2015, IFAG (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
PY - 2015/11/1
Y1 - 2015/11/1
N2 - We propose a robustness analysis method for biomolecular controller design. First, we provide a computational method of bifurcation and robustness analysis for general nonlinear systems with dynamic uncertainties. We then apply the method to study a model that represents a genetic network system for controlling cell fates through external stimulus. In the network system, an artificial genetic controller is connected to the MAPK pathway. The proposed robust bifurcation method is used to determine design parameters of the controller for robustly achieving desired properties, in the presence of dynamic uncertainties.
AB - We propose a robustness analysis method for biomolecular controller design. First, we provide a computational method of bifurcation and robustness analysis for general nonlinear systems with dynamic uncertainties. We then apply the method to study a model that represents a genetic network system for controlling cell fates through external stimulus. In the network system, an artificial genetic controller is connected to the MAPK pathway. The proposed robust bifurcation method is used to determine design parameters of the controller for robustly achieving desired properties, in the presence of dynamic uncertainties.
KW - Bifurcation analysis
KW - Biomolecular systems
KW - Gene regulatory networks
KW - Robustness analysis
KW - Synthetic biology
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U2 - 10.1016/j.ifacol.2015.11.010
DO - 10.1016/j.ifacol.2015.11.010
M3 - Conference article
AN - SCOPUS:84992509291
SN - 2405-8963
VL - 28
SP - 53
EP - 58
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
IS - 18
T2 - 4th IFAC Conference on Analysis and Control of Chaotic Systems, CHAOS 2015
Y2 - 26 August 2015 through 28 August 2015
ER -