Global sensitivity analysis of cell signaling transduction networks based on latin hypercube sampling method

J.F. Jia, H. Yue, T.Y. Liu, H. Wang

Research output: Contribution to conferencePaper

Abstract

The dynamic behavior of a cell model is affected by its structural complexity and parametric uncertainties. Two important issues in systems biology are how to quantitatively determine the relationship between system behaviors and parameter
variations, and how to study the interactions between parameters. Using an NF-κB signaling pathway model as an example, and assuming that the parameters of this model are independent of each other and obey the identical uniform distribution in the
range of variations, the global sensitivity analysis on the system output of NF-κB in the nucleus with respect to parameters is studied by means of the Latin hypercube sampling method. Simulation results demonstrate that the oscillation behavior of the concentration of NF-κB in the nucleus is sensitive to 6 key rate constants, which relates to reactions of IκBα mRNA degradation, IκBα inducible mRNA synthesis, IKK adaption, constitutive IκBα mRNA translation, IKK-IκBα NF-κB association, and IκBβ mRNA degradation, respectively.
Original languageEnglish
Pages434-437
Number of pages4
Publication statusPublished - 2007
EventThe 1st International Conference on Bioinformatics and Biomedical Engineering - Wuhan, China
Duration: 6 Jul 20078 Jul 2007

Conference

ConferenceThe 1st International Conference on Bioinformatics and Biomedical Engineering
CountryChina
CityWuhan
Period6/07/078/07/07

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Keywords

  • cell signaling transduction
  • latin hypercube sampling
  • global sensitivity

Cite this

Jia, J. F., Yue, H., Liu, T. Y., & Wang, H. (2007). Global sensitivity analysis of cell signaling transduction networks based on latin hypercube sampling method. 434-437. Paper presented at The 1st International Conference on Bioinformatics and Biomedical Engineering, Wuhan, China.