In Silico Simulation of Epidermal Growth Factor Signaling in Prostate Cancer Cells

Author

Nakakuki, Takashi ; Ide, Kaori ; Yumoto, Noriko ; Nagashima, Takeshi ; Hatakeyama, Mariko

Author_Institution

Genomic Sci. Center, Yokohama

fYear

2007

fDate

10-12 June 2007

Firstpage

1

Lastpage

3

Abstract

The epidermal growth factor receptor (EGFR) and its signaling pathways are closely involved in the development and progression of prostate cancer. To understand the EGF-stimulated signaling pathways in prostate cancer cells, we constructed a mathematical model of EGF receptor signaling in PCRV cells based on the experimental data. The model was described by twenty-seven ordinary differential equations, and all parameters were estimated by genetic algorithm. The validity of the model was confirmed with time-course western blot data, showing that the model could successfully reproduce all experimental results.

Keywords

cancer; cellular biophysics; differential equations; genetic algorithms; parameter estimation; physiological models; epidermal growth factor signaling; genetic algorithm; mathematical model; ordinary differential equations; parameter estimation; prostate cancer cells; Biochemistry; Biomembranes; Differential equations; Epidermis; Genetic algorithms; Mathematical model; Parameter estimation; Prostate cancer; Proteins; Systems biology;

fLanguage

English

Publisher

ieee

Conference_Titel

Genomic Signal Processing and Statistics, 2007. GENSIPS 2007. IEEE International Workshop on

Conference_Location

Tuusula

Print_ISBN

978-1-4244-0998-3

Electronic_ISBN

978-1-4244-0999-0

Type

conf

DOI

10.1109/GENSIPS.2007.4365841

Filename

4365841