Yeast protein-protein interaction network model based on biological experimental data

Abstract

Duplication and divergence have been widely recognized as the two dominant evolutionary forces in shaping biological networks, e.g., gene regulatory networks and protein-protein interaction (PPI) networks. It has been shown that the network growth models constructed on the principle of duplication and divergence can recapture the topological properties of real PPI networks. However, such network models only consider the evolution processes. How to select the model parameters with the real biological experimental data has not been presented. Therefore, based on the real PPI network statistical data, a yeast PPI network model is constructed. The simulation results indicate that the topological characteristics of the constructed network model are well consistent with those of real PPI networks, especially on sparseness, scale-free, small-world, hierarchical modularity, and disassortativity.