Effects on degree distribution of protein-protein interaction with random removal
Jie Xiong · China Journal of Bioinformatics · 2011
The protein-protein interaction network is a valuable tool to investigate the molecular networks underlying 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 networks.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 scale-free network.