基于混合超图的生物网络模型研究

生物网络是一个复杂多变的网络，鉴于目前生物网络模型的构建主要建立在传统图论的基础之上，只能表达真实网络的部分性质，特别是难以反映多分子间的复杂相互作用，本项目拟将超图的理论融入已有生物网络建模的研究成果，通过研究生物网络各组成部件的特性和它们之间复杂相互作用关系及其数据表达，以及如何将数据进行整合和简化，构建基于混合超图的生物网络模型。进而研究网络的结构与动力学性质及其之间的关系，以及网络作为整体所呈现的协同作用。最后以蛋白质网络为具体对象，构建基于混合超图的网络模型，从蛋白质网络拓扑特性分析出发，采用全局与局部相结合的思想实现蛋白质功能注释与功能模块挖掘。

Biological network is a complex and changefully network. At present, constructing biological network model is based on the traditional graph theory, and it can only express the partial property of the real-world network. In particularly, it is difficult to show the complex interactions among molecules. Therefore, our project plans to combine the hypergraph theory with the results of biological network models and thus construct the biological network model based on the mixture hypergragh by studying the characteristic and interaction of components and data expression and how to merge and reduce data. Then, the structure and kinetic property of the network and the relationship between them will be studied, and synergistic reaction will be discussed when network is regarded as an integral whole. At last, the network model based on mixture hypergraph targeted at protein network is constructed. The characteristic is analyzed from the topology structure, and protein funtions are interpreted and functional modules are detected based on global and local struture.