The Analysis Of DNA Regulation Network And Digital Expression

Electronic system is affected by the complex electromagnetic environment, which may lead system to failure or damage. Traditional electromagnetic protection is poor in initiative protection and self-healing. We need to find a new way of electronic systems’ anti interference and protection. Biological network has "self-organizing, adaptive and self-healing" characteristics, which enables the organisms to maintain the stability in the complex electromagnetic environment. Therefore, the study of the characteristics of biological networks can provide new ideas and solutions for electromagnetic protection.Gene regulatory network is an important kind of biological networks, which has complexity and stability characteristics. P53 gene regulatory network is a typical gene networks. In this thesis, Boolean networks modeling method is used to analyze P53 gene regulatory network. Then the logic characteristics and digital expression of the P53 gene regulatory network are studied. the main work is as follows:1. The visualization of P53 gene regulatory network is realized. By visualizing, the degree distribution of each node in the P53 gene regulation network is got. According to the degree distribution, the connections of single-center gene are constructed, which include their connection types and corresponding logic circuit.2. The data processing for the P53 gene regulatory network is made. Through programming, the automatic selection of connection types for each node in the P53 gene regulatory network is realized. some preliminary analysis for the stability of the logic circuit is done.3. P53 gene regulatory network is analyzed by motif. Three different kinds of random network are constructed, and motif detection for P53 gene regulatory network is done respectively. The motifs are transformed into logic circuit and the stability of the logic circuit is analyzed.