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KEGGconverter: a tool for the in-silico modelling of metabolic networks of the KEGG Pathways database

机译:KEGGconverter:用于KEGG Pathways数据库的代谢网络的计算机模拟的工具

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Background The KEGG Pathway database is a valuable collection of metabolic pathway maps. Nevertheless, the production of simulation capable metabolic networks from KEGG Pathway data is a challenging complicated work, regardless the already developed tools for this scope. Originally used for illustration purposes, KEGG Pathways through KGML (KEGG Markup Language) files, can provide complete reaction sets and introduce species versioning, which offers advantages for the scope of cellular metabolism simulation modelling. In this project, KEGGconverter is described, implemented also as a web-based application, which uses as source KGML files, in order to construct integrated pathway SBML models fully functional for simulation purposes. Results A case study of the integration of six human metabolic pathways from KEGG depicts the ability of KEGGconverter to automatically produce merged and converted to SBML fully functional pathway models, enhanced with default kinetics. The suitability of the developed tool is demonstrated through a comparison with other state-of-the art relevant software tools for the same data fusion and conversion tasks, thus illustrating the problems and the relevant workflows. Moreover, KEGGconverter permits the inclusion of additional reactions in the resulting model which represent flux cross-talk with neighbouring pathways, providing in this way improved simulative accuracy. These additional reactions are introduced by exploiting relevant semantic information for the elements of the KEGG Pathways database. The architecture and functionalities of the web-based application are presented. Conclusion KEGGconverter is capable of producing integrated analogues of metabolic pathways appropriate for simulation tasks, by inputting only KGML files. The web application acts as a user friendly shell which transparently enables the automated biochemically correct pathway merging, conversion to SBML format, proper renaming of the species, and insertion of default kinetic properties for the pertaining reactions. The tool is available at: http://www.grissom.gr/keggconverter
机译:背景KEGG Pathway数据库是代谢途径图的宝贵集合。然而,不管已经为该范围开发了何种工具,从KEGG Pathway数据生成具有仿真能力的代谢网络都是一项具有挑战性的复杂工作。最初用于说明目的,通过KGML(KEGG标记语言)文件的KEGG途径可以提供完整的反应集并引入物种版本控制,这为细胞代谢模拟建模的范围提供了优势。在这个项目中,描述了KEGGconverter,它也被实现为基于Web的应用程序,该应用程序将KGML文件用作源KGML,以便构建完全可用的集成路径SBML模型以用于仿真。结果一项来自KEGG的6条人类代谢途径整合的案例研究表明,KEGGconverter具有自动生成合并并转换为SBML全功能途径模型的能力,并通过默认动力学增强了该能力。通过与其他最新的相关软件工具进行相同的数据融合和转换任务的比较,证明了开发工具的适用性,从而说明了问题和相关的工作流程。此外,KEGGconverter允许在结果模型中包含其他反应,这些反应代表与相邻路径的通量串扰,从而以这种方式提供了改进的仿真精度。这些附加反应是通过利用KEGG Pathways数据库元素的相关语义信息引入的。介绍了基于Web的应用程序的体系结构和功能。结论KEGGconverter能够通过仅输入KGML文件来生成适合于模拟任务的代谢途径的集成类似物。该Web应用程序充当用户友好的外壳,可透明地自动进行生物化学正确的路径合并,转换为SBML格式,正确重命名该物种以及插入相关反应的默认动力学特性。该工具可从以下网站获得:http://www.grissom.gr/keggconverter

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