Sensitivity Analysis and Robust Experimental Design of a Signal Transduction Pathway System

被引:52
作者
Yue, Hong [1 ,4 ,5 ]
Brown, Martin [2 ]
He, Fei [2 ]
Jia, Jianfang [3 ]
Kell, Douglas B. [1 ,4 ,5 ]
机构
[1] Univ Strathclyde, Dept Elect & Elect Engn, Glasgow G1 1QD, Lanark, Scotland
[2] Univ Manchester, Sch Elect & Elect Engn, Manchester M60 1QD, Lancs, England
[3] North Univ China, Dept Automat, Taiyuan 030051, Peoples R China
[4] Univ Manchester, Sch Chem, Manchester M1 7ND, Lancs, England
[5] Univ Manchester, Manchester Interdisciplinary Bioctr, Manchester M1 7ND, Lancs, England
基金
英国生物技术与生命科学研究理事会;
关键词
D O I
10.1002/kin.20369
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Experimental design for cellular networks based on sensitivity analysis is studied in this work. Both optimal and robust experimental design strategies are developed for the I kappa B-NF-kappa B signal transduction model. Based on local sensitivity analysis, the initial IKK intensity is calculated using an optimal experimental design process, and several scalarization measures of the Fisher information matrix are compared Global sensitivity analysis and robust experimental design techniques are then developed to consider parametric uncertainties in the model, The modified Morris method is employed in global sensitivity analysis, and a semidefinite programming method is exploited to implement the robust experimental design for the problem of measurement set selection. The parametric impacts on the oscillatory behavior of NF-kappa B in the nucleus are also discussed. (c) 2008 Wiley Periodicals, Inc. Int J Chem Kinet 40: 730-741, 2008
引用
收藏
页码:730 / 741
页数:12
相关论文
共 42 条
[1]  
ATKINSON AC, 1996, OPTIMUM EXPT DESIGN
[2]   Computation of optimal identification experiments for nonlinear dynamic process models: a stochastic global optimization approach [J].
Banga, JR ;
Versyck, KJ ;
Van Impe, JF .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2002, 41 (10) :2425-2430
[3]   Mathematical modeling reveals threshold mechanism in CD95-induced apoptosis [J].
Bentele, M ;
Lavrik, I ;
Ulrich, M ;
Stösser, S ;
Heermann, DW ;
Kalthoff, H ;
Krammer, PH ;
Eils, R .
JOURNAL OF CELL BIOLOGY, 2004, 166 (06) :839-851
[4]  
Boyd S., 2004, CONVEX OPTIMIZATION
[5]   Experimental design in systems biology, based on parameter sensitivity analysis using a Monte Carlo method:: A case study for the TNFα-mediated NF-κB signal transduction pathway [J].
Cho, KH ;
Shin, SY ;
Kolch, W ;
Wolkenhauer, O .
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2003, 79 (12) :726-739
[6]   Sensitivity analysis for the reduction of complex metabolism models [J].
Degenring, D ;
Froemel, C ;
Dikta, G ;
Takors, R .
JOURNAL OF PROCESS CONTROL, 2004, 14 (07) :729-745
[7]   Optimal experiment design [J].
Emery, AF ;
Nenarokomov, AV .
MEASUREMENT SCIENCE AND TECHNOLOGY, 1998, 9 (06) :864-876
[8]   Simulation methods for optimal experimental design in systems biology [J].
Faller, D ;
Klingmüller, U ;
Timmer, J .
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2003, 79 (12) :717-725
[9]  
Fell D. A., 1996, UNDERSTANDING CONTRO
[10]  
FLAHERTY P, 2005, P NEUR INF PROC S