On the estimation of robustness and filtering ability of dynamic biochemical networks under process delays, internal parametric perturbations and external disturbances.
Inherently, biochemical regulatory networks suffer from process delays, internal parametrical perturbations as well as external disturbances. Robustness is the property to maintain the functions of intracellular biochemical regulatory networks despite these perturbations. In this study, system and signal processing theories are employed for measurement of robust stability and filtering ability of linear and nonlinear time-delay biochemical regulatory networks. First, based on Lyapunov stability theory, the robust stability of biochemical network is measured for the tolerance of additional process delays and additive internal parameter fluctuations. Then the filtering ability of attenuating additive external disturbances is estimated for time-delay biochemical regulatory networks. In order to overcome the difficulty of solving the Hamilton Jacobi inequality (HJI), the global linearization technique is employed to simplify the measurement procedure by a simple linear matrix inequality (LMI) method. Finally, an example is given in silico to illustrate how to measure the robust stability and filtering ability of a nonlinear time-delay perturbative biochemical network. This robust stability and filtering ability measurement for biochemical network has potential application to synthetic biology, gene therapy and drug design.
Lab. of Control and Systems Biology, Department of Electrical Engineering, National Tsing-Hua University, 101 Section 2, Kuang Fu Road, Hsin-chu 300, Taiwan. bschen@ee.nthu.edu.tw
Bor-Sen
BS
Chen
Po-Wei
PW
Chen
D000465:Algorithms; D003198:Computer Simulation; D004926:Escherichia coli / Q000378:metabolism; D025461:Feedback, Physiological / Q000502:physiology; D053263:Gene Regulatory Networks / Q000502:physiology; D005947:Glucose / Q000378:metabolism; D007700:Kinetics; D007763:Lac Operon / Q000502:physiology; D016014:Linear Models; D053858:Metabolic Networks and Pathways / Q000502:physiology*; D008954:Models, Biological; D017711:Nonlinear Dynamics
D005947:Glucose