Effects of Estrogen Contamination on Human Cells: Modeling and Prediction based on Michaelis-Menten Kinetics

摘要：

In this paper, a novel method is developed to predict the effect of estrogen on human living cells. This method is based on dynamic measurements coupled with a Michaelis-Menten type of mathematical modeling and parameter estimation procedure. The novelty of this method is the use of dynamic measurements generated by a real-time cell electronic sensor (RT-CES) system and the development of a mathematical model to predict the cell proliferation caused by estrogen stimulation.

作者: Fadi Ibrahim Biao Huang James Z.Xing Wilson Roa Stephan Gabos

作者单位: Department of Chemical and Material Engineering,University of Albert,Canada T6G 2G6 Department of Laboratory Medicine and Pathology,University of Alberta,Canada T6G 2S2 Department of Oncology,Cross Cancer Institute 11560 University Avenue,Alberta Canada T6G 1Z2 Alberta Health and Wellness,10025 Jasper Avenue,Box 1360,Edmonton,Alberta,Canada T5J 2N3

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）