基于Morris法的细胞信号转导网络全局灵敏性分析  

Global sensitivity analysis of cell signal transduction networks based on Morris method

作　　者：贾建芳[1] 岳红[1] 刘太元[1] 王宏[1] 

机构地区：[1]中国科学院自动化研究所

出　　处：《计算机与应用化学》2008年第1期7-10,共4页Computers and Applied Chemistry

基　　金：国家自然科学基金(60472065；30770560)

摘　　要：细胞信号转导网络的结构复杂和动力学参数的不确定影响着系统的动态特性,如何定量系统输出与参数变化的关系,以及参数间的相互影响,已经成为系统生物学研究的重要问题之一。以TNF-α诱导NF-kB信号转导网络作为研究对象,采用Morris法的全局灵敏性分析技术,研究参数变化对输出NF-kBn的影响,确定参数的全局灵敏度。仿真结果表明,系统输出NF-kBn对于参数θ_(28)、θ_(36)、θ_(52)、θ_(61)、θ9、θ_(29)、θ_(19)和θ_(62)比较敏感,故它们影响着NF-kBn的振荡特性,从而说明这些参数是NF-kB信号转导网络关键的速率常数。The dynamic behaviors of cells are deeply affected by structural complexity and parameters uncertainty of cell signal pathways. It is therefore necessary to study how the relationship between system behaviors and parameter variations can be quantitatively determined. Using TNF-α induced NF-κB signaling pathway as an example, global sensitivity analysis of cell signal transduction networks system output with respect to parameter variations is studied by means of Morris method. In global sensitivity analysis, the simultaneous change of multiple parameters is considered and the critical reactions of cell signaling pathways can be identified. The simulation results demonstrate that the oscillation behavior of system output signal nuclear NF-κB is sensitive to 8 key rate constants, which include θ28, θ36,θ52,θ61,θ9,θ29,θ19 and θ62 and they are the critical reaction rate constants of NF-κB signal transduction networks.

关 键 词：全局灵敏性分析 Morris方法 细胞信号转导网络 

分 类 号：O332[理学—一般力学与力学基础]