An Intelligent Multi-Agents Method for Study on Membrane Protein Interaction Network

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 intelligent multi-agents method. We consider biological system as a set of active computational components interacting with each other and with an external environment. Then we can use the network simulator to construct membrane protein interaction networks. Interactions among small membrane protein interaction networks can emerge a large membrane protein interaction network which has its remarkable ability to accomplish a complex function or task. 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.