【摘要】 为便于大规模代谢网络的计算,发展了一款方便实用的工具:MetaGen,对Kyoto Encyclopedia of Genesand Genomes(KEGG)中物种特异的各层次代谢系统进行建模,生成的代谢网络以酶图和通路图的方式表示.利用该工具,对人类代谢系统的bow-tie结构进行了初步研究,并以此为例展示了该工具广阔的应用前景.MetaGen利用KEGGweb服务保证建模数据的可靠性,依靠本地关系数据库加速网络建模过程并提供更多的数据管理和利用方式,并结合高级JAVA技术提高代码的可扩展性.MetaGen完全开源,可直接从http://bnct.sourceforge.net/下载.更多还原

【Abstract】 For the computational researches on the large-scale metabolisms, MetaGen, a user-friendly utility to batch process and model the organism-specific multi-level metabolisms in KEGG into enzyme and pathway graphs, was developed. An example was given by expanding a little on the bow-tie structure of metabolic networks to show MetaGen is a useful and promising tool. MetaGen takes advantages of KEGG web service to ensure data reliability, uses relational database to accelerate the modeling process and facilitate data management, and applies advanced software modeling techniques as well as a pluggable software architecture for the easy expansion of functionalities in the future. MetaGen saves researchers from the elaboration on preparing metabolic networks for computation, which paves the way to deepen the researches on the large-scale metabolic networks. MetaGen is fully open-sourced and available at http://bnct.sourceforge.net/.更多还原