| Summary: | 碩士 === 國立暨南國際大學 === 資訊管理學系 === 93 === Systems Biology is a scientific way to describe life as a whole-ism. Our study is based on this kind of view to analyze metabolic networks, then try to get the interaction and dynamic behavior pattern of them. We use Systems Biology approach to amend Petri Nets by adding new definition to expend Petri Nets’ referential ability, and represent metabolic networks’ characteristics perfectly.
Our main contribution is extending Petri Nets’ arc from binary relationship between place and transition to an active role, therefore reaching the goal of dynamic reactants selsection in a biochemical reaction for in silico model. Besides, we reduce the coupling between qualitative network structure and quantitative calculation by using replaceable calculating object within transitions, and we can specify how an enzyme catalyze by different calculated object based on varied biochemical theories, such as Michaelis-Menten rate law, competitive inhibition, noncompetitive inhibition, and so on.
A complex system could be understood by the pattern of interactions among its components. The most important issue of a bio-reaction network is not the properties of each component, but the entire behavior to the network instead.
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