突变体
转化(遗传学)
癌症研究
癌症
点突变
生物
计算生物学
网络模型
癌细胞
基因
遗传学
计算机科学
数据库
作者
Edward C. Stites,Paul C. Trampont,Zhong Ma,Kodi S. Ravichandran
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2007-10-18
卷期号:318 (5849): 463-467
被引量:125
标识
DOI:10.1126/science.1144642
摘要
To investigate the unregulated Ras activation associated with cancer, we developed and validated a mathematical model of Ras signaling. The model-based predictions and associated experiments help explain why only one of two classes of activating Ras point mutations with in vitro transformation potential is commonly found in cancers. Model-based analysis of these mutants uncovered a systems-level process that contributes to total Ras activation in cells. This predicted behavior was supported by experimental observations. We also used the model to identify a strategy in which a drug could cause stronger inhibition on the cancerous Ras network than on the wild-type network. This system-level analysis of the oncogenic Ras network provides new insights and potential therapeutic strategies.
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