Picture of wind turbine against blue sky

Open Access research with a real impact...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

The Energy Systems Research Unit (ESRU) within Strathclyde's Department of Mechanical and Aerospace Engineering is producing Open Access research that can help society deploy and optimise renewable energy systems, such as wind turbine technology.

Explore wind turbine research in Strathprints

Explore all of Strathclyde's Open Access research content

Improving data fitting of a signal transduction model by global sensitivity analysis

Jin, Y. and Yue, H. and Brown, M. and Liang, Y. and Kell, D.B. (2007) Improving data fitting of a signal transduction model by global sensitivity analysis. In: Proceedings of the 2007 American Control Conference. UNSPECIFIED, pp. 2708-2713.

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

Based on a simplified model of the (TNF-α mediated) IκBα-NF-κB signal transduction pathway, global sensitivity analysis has been performed to identify those parameters that exert significant control on the system outputs. The permutation operation in Morris method is modified to work for log-uniform sampling parameters. The identified sensitive parameters are then estimated using multivariable search such that the output of the model matches experimental data representing the nuclear concentration of NF-κB. Such parameter tuning leads to much better agreement between the model and the experimental time series relative to those previously published. This shows the importance of global sensitivity analysis in Systems Biology models