Robustness Analysis of EGFR Signaling Network Based on Evolutionary Algorithm

摘要：

The epidermal growth factor receptor (EGFR) is constitutively activated in a variety of human malignancies. The redundant expression and mutation of EGFR can bring on uncontrollable cell growth, and then form tumor. Here, the paper firstly demonstrates the EGFR signaling network is robust with respect to its signal time, signal duration and signal amplitude by simulations. Furthermore, the paper uses evolutionary algorithm to optimize the robustness of the EGER signaling network and obtains two groups of rate constants at which the robustness of signal time and signal amplitude are best in a certain parameter range. The results indicate the optimized rate constants make the stability of the three signal features of the network be improved remarkably.

关键词： EGFR Robustness Evolutionary algorithm Signal transduction

作者: Ting Wang Xiufen Zou

作者单位: School of Mathematics physics & Information Science Zhejiang Ocean University Zhoushan, China School of Mathematics and Statistics Wuhan University Wuhan, China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 933-938

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）