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

Jia, J.F. and Liu, Tai-yuan and Yue, Hong and Wang, Hong (2007) Robustness analysis of signaling transduction networks based on Monte-Carlo method. Computer Simulation, 24 (10). pp. 295-299. ISSN 1006-9348

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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.

ORCID iDs

Jia, J.F., Liu, Tai-yuan, Yue, Hong ORCID logoORCID: https://orcid.org/0000-0003-2072-6223 and Wang, Hong;
CORE (COnnecting REpositories)