By You Ch.H.
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Extra resources for Application of Graph Based Data Mining to Biological Networks
By the following, DNA → RNA → P rotein → f unction, gene expression is regulated at many molecular levels [61, 55]. Three categories of biological networks would be considered as two groups: Metabolic network and Protein-protein Interaction. The first one is the network of various objects and their relations, but the second one is the network of interactions between proteins . 4 Computational Analysis of Biological Networks As mentioned in the previous section, the biochemical pathway is the complex in- teraction between molecules such as biochemical compounds, protein and other genetic materials.
Metabolism can be divided into two categories: Catabolism 22 23 and Anabolism. Catabolism is the degradation phase in which organic nutrient molecules are converted into smaller and simpler compounds, sometimes while releasing energy for biological activity. Anabolism is called biosynthesis in which small and simple molecules are built up into larger and more complex molecules, such as polypeptide, polysaccharide and triacyglycerols [52, 55, 54]. 1 Biochemical compounds A cell and its organelles are composed of many biochemical compounds.
Some unique names of entries posed potential problems when we run Subdue on the the named-graph, because KGML data has several unique names. 9 as its name acts as D-glucose-6-phosphate phosphohydrolase in the Glycolysis biological network. Generally this enzyme is found only in the glycolysis pathway. Therefore if we try to find the best substructure to distinguish this network from others, just one pattern, this name, is found by Subdue. There is less need to have the unique name of each entry, because our research goal is to analyze patterns of biolog- 46 ical networks.