Biology – Quantitative Biology – Molecular Networks
Scientific paper
2006-10-12
Biology
Quantitative Biology
Molecular Networks
13 pages, 9 figures in main text. 7 pages, 7 figures in supplementary material. Submitted to IEE Proceedings Systems Biology
Scientific paper
We apply the methods of optimal experimental design to a differential equation model for epidermal growth factor receptor (EGFR) signaling, trafficking, and down-regulation. The model incorporates the role of a recently discovered protein complex made up of the E3 ubiquitin ligase, Cbl, the guanine exchange factor (GEF), Cool-1 (Beta-Pix), and the Rho family G protein Cdc42. The complex has been suggested to be important in disrupting receptor down-regulation. We demonstrate that the model interactions can accurately reproduce the experimental observations, that they can be used to make predictions with accompanying uncertainties, and that we can apply ideas of optimal experimental design to suggest new experiments that reduce the uncertainty on unmeasurable components of the system.
Baird Dan
Brown Kevin S.
Casey Fergal P.
Cerione Richard A.
Feng Qiyu
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