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GRAPHICAL RULE BASED MODELING OF BIOCHEMICAL NETWORKS
GRAPHICAL RULE BASED MODELING OF BIOCHEMICAL NETWORKS
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机译:基于图形规则的生化网络建模
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摘要
Formalized graphical reaction rules and conventions accounting for chemical states and binding or reaction states are provided for modeling complex biological systems such as signal transduction pathways. A system model is derived by defining typed attributed graphs which delimit molecular entities and their possible states. Graph transformation rules defining a class of potential reactions are defined and applied to the graphs and all new graphs that subsequently arise as a result of graph transformation. In one embodiment, a model is generated through the use of graph-rewriting rules which are associated with rate laws and applied iteratively to a seed set of chemical species graphs until a termination condition occurs.
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