QSB: Computational and Experimental Studies of Pathways in Yeast

QSB：酵母途径的计算和实验研究

• 批准号: 0222471
• 负责人: Christodoulos Floudas
• 金额: $ 49.99万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0222471&HistoricalAwards=false
• 关键词: QSB; Computational; Experimental; Studies; Pathways

The long range goal of this project is to investigate a framework that can improve understanding of the topology/connectivity of complex biological pathways. This research combines experimental molecular genetics with computational systems biology to develop new approaches for mapping complex signal transduction pathways in eukaryotic cells. The initial system for study is the Ras and Tor pathways in the budding yeast Saccharomyces cerevisiae. The research will employ data sets from whole genome expression analysis to develop and validate the pathway map. The research will focus on three avenues of analysis with the objectives: (1) to study a genetic epistasis analysis approach using extensive DNA microarray data to define a qualitative connectivity map of the pathways, (2) investigate a new computational systems approach based on a superstructure representation and a mixed integer linear optimization framework for the prediction of the topology of the complex pathways, and (3) study a quantitative analysis framework for the effect of model uncertainty on the network topology of the metabolic pathways.

该项目的长期目标是研究一个可以提高对复杂生物途径的拓扑/连接性的理解的框架。 这项研究将实验分子遗传学与计算系统生物学相结合，开发绘制真核细胞中复杂信号转导途径的新方法。 最初的研究系统是芽殖酵母酿酒酵母中的 Ras 和 Tor 途径。 该研究将利用全基因组表达分析的数据集来开发和验证路径图。 该研究将重点关注三种分析途径，其目标是：（1）研究使用广泛的 DNA 微阵列数据来定义通路的定性连接图的遗传上位分析方法，（2）研究基于上层结构表示和混合整数线性优化框架的新计算系统方法，用于预测复杂通路的拓扑结构，以及（3）研究模型效果的定量分析框架 代谢途径网络拓扑的不确定性。