摘要
细胞信号转导网络内部结构的复杂性和动力学参数的不确定性影响着系统的动态特性,如何定量地确定系统特性与参数变化的关系,已经成为系统生物研究的重要问题之一。为了研究NF-κB信号转导网络的鲁棒性,应用蒙特卡洛(Monte-Carlo)随机模拟方法,假设参数在其变化范围内服从某一随机分布,通过对模型参数进行随机采样,系统地研究了系统输出NF-κBn关于64个速率参数变化和阶跃输入信号IKK幅值变化的鲁棒性。仿真结果表明,6个鲁棒性较弱的参数k1、k34、k61、k28、k36、k29极大地影响着系统输出NF-κBn的振荡特性,说明这些参数是NF-κB信号转导网络的关键速率常数;同时,输入阶跃信号IKK幅值的变化对系统输出NF-κBn的振荡特性产生了巨大影响。
The dynamic behaviors of cell system were deeply affected by structural complexity of cell signal transduction networks and uncertainty of kinetics parameters.How to quantitatively determinate the relation between system behaviors and parameters variations was an important problem of systems biology.In order to study robustness of NF-κB signal transduction networks,the parameters of system model were assigned to subject to stochastic distributions.Then,robustness of system output signal NF-κBn with respect to 64 parameters variations and amplitude variation of step input signal IKK was studied by means of Monte-Carlo method.The simulation results demonstrate that the oscillation behavior of system output signal NF-κBn is closely relative to 6 key rate constants whose robustness is weak,and the amplitude variation of step input signal IKK makes a great impact on the oscillation behavior of system output.
出处
《计算机仿真》
CSCD
2007年第10期295-299,共5页
Computer Simulation
关键词
信号转导网络
鲁棒性分析
蒙特卡洛方法
系统生物
Signaling transduction networks
Robustness analysis
Monte-Carlo method
Systems biology
