Robustness analysis of signaling transduction networks based on Monte-Carlo method

J.F. Jia, Tai-yuan Liu, Hong Yue, Hong Wang

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Abstract

The dynamic behaviors of cell system were deep ly 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 p roblem 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 amp litude 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 constantswhose robustness isweak, and the amp litude variation of step input signal IKKmakes a great impact on the oscillation behavior of system output.
Original languageChinese
Pages (from-to)295-299
Number of pages5
JournalComputer Simulation
Volume24
Issue number10
Publication statusPublished - 2007

Keywords

  • robustness analysis
  • signaling transduction networks
  • monte-carlo method

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