Robustness Of Cell Cycle Network From Landscape And Flux Perspective

Understanding the interactions among different biomolecules is one of the biggest challenge in system biology, especially the basic organization principle under network structure and the phenotype for network dynamics. Recent years,many researches have shown that biological network is designable,which means the real biological network is constructed by some small repeated modules. There are many motifs in biological network, and only small number of them play important role in biological process. By analyzing these small motifs, we can detect early-warning signals for sudden deterioration of complex diseases or discovery of a kernel for controlling networks. This is significant in disease prediction and treatment. Additionally, many researches have proven that the biological networks were designed with high robustness and there is no doubt that after long revolution the biological network should be extraordinary. How to design a highly robust network and understand why the biological network is high robustness is the biggest challenge in biological network researches.The cell cycle networks of budding and fission yeasts are two representative networks and they both have four phase:G0/G1?S?G1?M. A normal cycle cell includes these four phase and it will be in a mess if skipping some phases. We can analyze the concentration of RNA/protein in cell cycle and find out the key motif in cycle cell network and the mechanism of cell cycle stability. How to find out the flux control node may be a good reference for disease prediction and treatment. Actually many researches have shown that cell cycle network is robust, but there is no good theory to explain why these network are robust, and many researches only paid attention to one aspects of networks, the topology of network structure or the dynamics of network.In this paper, we try to build a theory that can combine the network structure and network dynamics to explain why the cycle cell network is robust. We mainly focus on budding and fission yeasts, we decompose theses network to minimum network and supplement network, then analyze the influence of supplement network for dynamic flux, finally, we find out which motif is big influence to full network robustness from landscape and flux perspectives. The result shows that supplement links in network has a significant influence to network robustness.