The Study On The Robust Of Genetic Regulatory Network By Boolean Network Model

Researching network structure and function of genetic regulatory systems and the connection of them is a important theme of systems biology.The genetic regulatory network that containing protein,DNA,and RNA govern various life activities.The global dynamical properties and stabilities of such networks are researched by boolean network model,especially the cell-cycle regulatory network of eukaryotic.Moreover,this regulatory network can be reconstructed and it is very interesting that the reconstucted networks can demonstrate more important function of gene regulatory network further.Basing on the exist research achievement, this article considers the boolean network which is constituted by the cancer network of the mammalian G1/S transition checkpoint. We analysis the global properties of this regulatory network and our result show that:Firstly,we find the regulatory network is highly stable and robust for its function from simulating this network and analysising its stability.lt has a global attractor which 71.9% initial states flow into and attracting trajectory in state space.Secondly,we compare this regulatory network with random networks,the result show that this regulatory is robustly designed and its capability of resisting the disturbance is better than random networks.Thirdly,we reconstruct the structure of the regulatory network through the function sequence of the state.The result suggest that the backbone subnetwork satisfies the function sequence of the state similarly but its stability is destroied and the remaining subnetworks maintain the stability of the systerm.