基于相似性推导的代谢数据集成

Integration of metabolic pathway database based on similarity derivation

为了解决生物学代谢数据库数据集成的难题,通过结合生物数据库中代谢通路数据特点和自动模式匹配的集成方法,根据同种分子和酶在反应中有相同表现的特点,提出一种基于相似性推导的代谢通路数据集成方法。该方法通过在公共代谢数据库LIGAND、EcoCyc和MetaCyc上的实验,验证了其有效性。最后,为了方便使用,采用动态布局的可视化用户界面,设计实现了一个代谢通路可视化集成工具。

To solve the problem of biologic database integration,combining the metabolic pathway data feature and automated schema matching methods,based on the characteristics that the same molecular and enzyme reaction have the same representation,a similarity derivation based metabolic pathway data integration algorithm was proposed.The method was verified by being effectively applied to LIGAND,EcoCyc and MetaCyc metabolic pathway databases.In addition,considering a friend interface for end user,a metabolic pathway visualized integration tool was designed and implemented using dynamic layout graphic user interface.