Dynamic and collective analysis of membrane protein interaction network based on gene regulatory network model

Membrane protein interactions are vitally important for every process in a living cell. Information about these interactions can improve our understanding of diseases and provide the basis to revolutionize therapeutic treatments. However, current experimental techniques for large-scale detection of protein–protein interactions are biased against membrane proteins, it is necessary to develop novel tools to deal with this kind of bio-network. To realize this, we construct membrane protein interaction network based on gene regulatory network model. Three model forms, basic form, non-dimensionalization form, and more complex form, are proposed to understand the dynamic and collective control of developmental process and the characters of membrane protein interaction network, including small-world network, scale free distributing and robustness, and its significance for biology. Four simulation examples are presented to illustrate the usefulness and flexibility of the GRN model method for the study of membrane protein interaction network. The results show that the proposed approach holds a high potential to become a useful tool in prediction of membrane protein interactions. Moreover, it has biological significance and value for biology and pharmacology.