中文摘要：

蛋白质相互作用（PPI）网络，是目前系统研究蛋白质层面细胞活动的重要工具，PPI网络的度分布是研究复杂网络性质的重要物理量。随着蛋白质相互作用数据量不断的增加，其数据的可靠性是否会对PPI网络的度分布造成影响，并不确定。本文对四种模式生物的PPI网络数据，按照5％的增长比率，随机删除PPI网络的边，来检验随机抽样对PPI网络度分布的影响。结果表明，各种实验数据的误差不会对真实PPI网络的度分布造成干扰，且在目前描述网络度分布的五种函数中，广延指数函数拟合程度最优。

英文摘要：

The protein -protein interaction network is a valuable tool to investigate the molecular networks underly- ing a living cell. It is widely understood that the degree distribution is one of the most important summary statistic of a complex network. But, along with the increase of the protein - protein interaction （PPI） data the reliability of experimental PPI data is often questioned. The stability of degree distribution affected by the experimental data is still uncertain. This paper was performance to investigate the effect of random removal interactions affecting on degree distribution of PPI networks. We randomly eliminated the interactions of PPI networks in 4 model organisms by the increase ratio of 5 % respectively to testify the effects of random sampling on the degree distribution of PPI net- works. The result showed that the noise coming from experiment had no significant influence on degree distribution of PPI networks. Meantime, the stretched exponential function distribution is best describing the degree distribution, and the distribution is always keeping stability in the random removal. The research indicates that PPI network is more complex than scalefree network.