A Study of Graph Representations for Biological Pathways

• Main Authors: Tung-Hai Chan, 詹董海
• Other Authors: Sheng-Lung Peng
• Format: Others
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/pkn57m

碩士 === 國立東華大學 === 資訊工程學系 === 100 === The interactions between proteins, complexes, and small molecules play an important role in living system. Biologists use these relationships as tools for development and application of biology for a long time. These interactions establish some network structures. However, it is hard to analyze these relations automatically without proper definitions. In this thesis, we propose a graph model to represent these interactions for a pathway. By using this graph model, many tools in graphs can be used for finding some important related proteins. By applying our proposed model on signaling pathways of homo sapiens EGFR (Epidermal Growth Factor Receptor) in cancer and Raf (Rapidly Accelerated Fibrosarcoma) we find some interesting results for these two pathways.