| In the first part of thesis, the data collected from internet were analyzed by chemometrics methods. The proteins directing cellular signal transduction were investigated by cluster analysis, and their relationship was discussed. In addition, visible processing of results was also conducted.One of big challenge of modern biology is how to systematically describe all molecules in living cell as well as their effects to each other. There are many biological response paths in a cell, such as material metabolism paths, gene express paths, DNA duplication paths, signal transduction paths and so on. Among them, the most complex one is the signal transduction. These paths are organized non-linearly, and they can form a network through a series of protein interactions. Kyoto Encyclopedia of Genes and Genomes (KEGG) introduced 14 detailed charts of different cell signal transduction paths, 12 of which provided protein Entry numbers. In this thesis, these 12 charts were converted to adjacency matrix, and then merged to be one adjacency matrix using matrix calculation. Therefore, one cell signal network including 933 points and 6825 lines was created. After calculate the static geometry quantity of this network, it was found that this network is a scale free network followed BA model, which distributed as Power-law. Its core point is those most active proteins in call transduction paths. Using depth-first searching algorithm, the distances of matrix was clustering analyzed. The results also showed that most proteins revolve several kinds of core proteins to gather the integrated group according their function relationships.
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