DocumentCode :
1672071
Title :
Development of a particle simulator on cancer cell signaling network with PC cluster system
Author :
Ogawa, Makoto ; Nakakuki, Takashi ; Ishii, Chiharu ; Kobayashi, Mitsuo
Author_Institution :
Dept. of Mech. Syst. Eng., Kogakuin Univ., Tokyo, Japan
fYear :
2010
Firstpage :
2002
Lastpage :
2005
Abstract :
In various cancer cells, over-expression or mutation of epidermal growth factor (EGF) receptors is experimentally observed, and induces abnormal activation of intracellular signaling proteins, followed by continuous cell proliferation via dysfunctional gene regulatory networks. Since the activation process of EGF receptors on cell membrane is complicated and not fully understood, it is still a challenging work to develop the mathematical model from the viewpoint of cancer therapy such as drug discovery. In this paper, we develop a particle simulator on EGF-induced activation of EGF receptors on cell membrane. The engine of our simulator is based on the Hybrid Null-event Monte Carlo algorithm. The advantage is that our simulator is capable of evaluating ”lateral signaling” of EGF receptors, and directly comparing to the corresponding experimental data that shows a distribution of activated EGF receptors.
Keywords :
Monte Carlo methods; biology; cancer; differential equations; proteins; EGF receptors; PC cluster system; cancer cell signaling network; cancer therapy; cell membrane; dysfunctional gene regulatory networks; epidermal growth factor; hybrid null-event Monte Carlo algorithm; intracellular signaling proteins; particle simulator; Biological system modeling; Biomembranes; Cancer; Differential equations; Mathematical model; Modeling; Monte Carlo methods; EGF receptors; Monte Carlo simulation; lateral signaling; particle simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation and Systems (ICCAS), 2010 International Conference on
Conference_Location :
Gyeonggi-do
Print_ISBN :
978-1-4244-7453-0
Electronic_ISBN :
978-89-93215-02-1
Type :
conf
Filename :
5669749
Link To Document :
بازگشت