QSB: Discrete Optimization Techniques for Probing the Performance Limits of Metabolic Networks

QSB：用于探索代谢网络性能极限的离散优化技术

• 批准号: 0120277
• 负责人: Costas Maranas
• 金额: $ 32.72万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-08-15 至 2004-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0120277&HistoricalAwards=false
• 关键词: QSB; Discrete; Optimization; Techniques; Probing

The aim of the proposed work is to extend the use of linear and other network analysis tools. The addition of logical information in model constraints to emulate regulatory logic will be pursued. Mixed integer linear programming will be among the tools employed. Two general approaches will be used. The first entails encoding a check to see if a flux solution is consistent with the kinetic and regulatory structure of the network. The second involves superimposing transcript ratio data from DNA arrays within probabilistic framework that account for the lack of linearity between transcript level and gene product activity.

拟议工作的目的是扩展线性和其他网络分析工具的使用。 将追求在模型约束中添加逻辑信息以模拟监管逻辑。 混合整数线性规划将是所采用的工具之一。 将使用两种通用方法。 第一个需要编码检查，以查看通量解决方案是否与网络的动力学和调节结构一致。 第二个涉及在概率框架内叠加来自 DNA 阵列的转录本比率数据，这解释了转录本水平和基因产物活性之间缺乏线性关系。