【摘要】 蛋白质相互作用研究是理解细胞活性功能和进化机制的重要手段.现有蛋白质相互作用模型多为静态网络,无法有效描述蛋白质相互作用的动态特性.通过综合时序生物信息数据和静态蛋白质相互作用网络数据,生成蛋白质相互作用时序网络.在此基础上,研究了时序网络中节点活跃性、层与层相关性、Hub节点等性质.实验结果表明,时序网络比静态网络更适合蛋白质相互作用动态性质分析.更多还原

【Abstract】 The study of protein-protein interaction is an important tool to understand cellular functions and evolutionary mechanisms. The current protein-protein interaction models are mostly static networks, which can not describe the dynamic characteristics of protein-protein interactions effectively. The protein-protein interaction temporal network is generated by combining time-series bioinformatics data with static protein-protein interaction network data. On this basis, the properties of node activity, layer-to-layer correlation and Hub node was studied. The results of experiment showed that the temporal network is more suitable than the static network for the analysis of the dynamics properties of protein-protein interactions.更多还原