Study on membrane protein interaction network based on ensemble intelligent method

Membrane protein and its interaction network has become a novel research direction in bioinformatics. Multiple researches on these interactions can improve our understanding of diseases and provide the basis to revolutionize therapeutic treatments. In this paper, a novel membrane protein interaction network simulator is proposed for system biology studies by ensemble intelligent method including spectrum analysis and fuzzy KNN algorithm. We consider biological system as a set of active computational components interacting with each other and an external environment. Then we can use the network simulator to construct membrane protein interaction networks. Based on the proposed approach, we find out that the membrane protein interaction network almost has the some dynamic and collective characters, such as small-world network, topological character, and hierarchical module structure. These characters of the membrane protein interaction network will be valuable for its relatively biological and medical studies.