Comparison Of Several Typical Gene Regulatory Networks

Systems biology was established and developed through high-throughout biological technique nowadays. We briefly introduced the conception of System Biology and its features, contents and methods about the studies of System Biology. Biological systems are booming by taking advantage of the complex network theory. Several biological networks were discovered quickly, such as ecological networks, protein interaction networks, metabolic networks and gene regulatory networks. We can acquire kinds of new understanding and comprehension about the structure and function of organism through the research on complex networks of organisms. Beyond the stretch of this, researchers would simulate the constructed complex networks and evaluate its dynamics property, forecast its evolution. Therefore the human being could understand the essential mechanics of life.In current stage, a plenty of GRN were uncovered. What universal principle are they? We collect some special GRN in five model organisms:λphage groups, E. coli, S. serervisiae, sea urchin, Homo sapiens. Construct their GRN by the database from gene regulators and their regulatory sequences. These five typical GRN were analyzed through computing their parameter.The measure mostly be taken is, combined with the four aspects of network attributes that are the distribution of degree, average of length, the property of clustering and robustness, we analyzed series of qualities and characteristics about this five biological complex networks in majority, and obtained some universal regulations.These GRN are all belonged to scale free complex networks. Their degree attribution is obeyed power-law, p(k) k^-γ,γis about 1～2.5. They have the small average length L, bigger clustering coefficient c. It proved GRN connect tightly. These attributes contribute to information communication in GRN. Another notable feature is the hierarchy and heterogeneity in biological complex networks. There are cascade regulation systems obviously. Many vertexes connect few components, a few vertexes connect a quantity of components. It ensures the stability and robustness of the GRN.