Suppr超能文献

表皮生长因子受体(EGFR)信号网络的超图理论分析:导致GTP:Ras复合物形成的初始步骤。

Hyperdigraph-theoretic analysis of the EGFR signaling network: initial steps leading to GTP:Ras complex formation.

作者信息

Oliveira Joseph S, Jones-Oliveira Janet B, Dixon David A, Bailey Colin G, Gull Dean W

机构信息

Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA.

出版信息

J Comput Biol. 2004;11(5):812-42. doi: 10.1089/cmb.2004.11.812.

Abstract

We construct an algebraic-combinatorial model of the SOS compartment of the EGFR biochemical network. A Petri net is used to construct an initial representation of the biochemical decision making network, which in turn defines a hyperdigraph. We observe that the linear algebraic structure of each hyperdigraph admits a canonical set of algebraic-combinatorial invariants that correspond to the information flow conservation laws governing a molecular kinetic reaction network. The linear algebraic structure of the hyperdigraph and its sets of invariants can be generalized to define a discrete algebraic-geometric structure, which is referred to as an oriented matroid. Oriented matroids define a polyhedral optimization geometry that is used to determine optimal subpaths that span the nullspace of a set of kinetic chemical reaction equations. Sets of constrained submodular path optimizations on the hyperdigraph are objectively obtained as a spanning tree of minimum cycle paths. This complete set of subcircuits is used to identify the network pinch points and invariant flow subpaths. We demonstrate that this family of minimal circuits also characteristically identifies additional significant biochemical reaction pattern features. We use the SOS Compartment A of the EGFR biochemical pathway to develop and demonstrate the application of our algebraic-combinatorial mathematical modeling methodology.

摘要

我们构建了表皮生长因子受体(EGFR)生化网络中SOS区室的代数组合模型。使用Petri网构建生化决策网络的初始表示,进而定义一个超图。我们观察到,每个超图的线性代数结构都允许一组规范的代数组合不变量,这些不变量对应于控制分子动力学反应网络的信息流守恒定律。超图的线性代数结构及其不变量集可以推广,以定义一种离散代数几何结构,即定向拟阵。定向拟阵定义了一种多面体优化几何,用于确定跨越一组动力学化学反应方程零空间的最优子路径。超图上的约束子模路径优化集客观地作为最小循环路径的生成树获得。这组完整的子电路用于识别网络夹点和不变流子路径。我们证明,这组最小电路还具有特征性地识别其他重要生化反应模式特征的能力。我们使用EGFR生化途径的SOS区室A来开发和演示我们的代数组合数学建模方法的应用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验