...
首页> 外文期刊>Current Bioinformatics >SCAN-Toolbox: Structural COBRA Add-oN (SCAN) for Analysing Large Metabolic Networks
【24h】

SCAN-Toolbox: Structural COBRA Add-oN (SCAN) for Analysing Large Metabolic Networks

机译:Scan-Toolbox:结构COBRA附加(扫描)用于分析大代谢网络

获取原文
获取原文并翻译 | 示例
           

摘要

Background: Modelling and analysis of metabolic networks can be carried out with different levels of granularity, ranging from structural (topological) analysis to constraint-based methods to kinetic modelling. The increasing number of genome-scale metabolic reconstructions and thegrowing importance of metabolic modelling intensify the need for integrated approaches allowing the application of different analysis methods. Objective: There is no well-organized and freely accessible code package or specific toolbox/plugin available for the reconstruction of metabolite-and enzyme-centric networks. So, we have developed a toolbox which could be able to perform such reconstructions. Method: We have developed the SCAN-toolbox, an Add-on to the widely used COBRA framework for constraint-based modelling. SCAN is an open-source MATLAB/Octave toolbox whichextends the COBRA framework and provides functions to prepare different metabolite- and enzyme-centric networks that could also be imported in other structural analysis softwares, such as Cytoscape. Results: We have applied the SCAN-toolbox to four metabolic networks to demonstrate itsapplicability. Conclusion: SCAN extends the COBRA framework towards structural analysis of large metabolic networks, including the reconstruction of undirected and directed metabolite- as well as enzyme-centric networks.
机译:背景:代谢网络的建模和分析可以用不同的粒度水平进行,从结构(拓扑)分析到基于约束的动力学建模的方法。越来越多的基因组代谢重建和代谢建模的人性重要性加剧了允许应用不同分析方法的综合方法的需求。目的:可用于重建代谢物和酶中心网络,没有良好组织和自由的代码包或特定的工具箱/插件。因此,我们开发了一个工具箱,可以能够执行这种重建。方法:我们开发了Scan-Toolbox,一个加载版加载到基于约束的制约的广泛使用的COBRA框架。扫描是一个开源MATLAB / Octave工具箱,它延伸了COBRA框架,并提供了制备不同的代谢物和酶中心网络,这些功能也可以在其他结构分析软件(如Cytoscape)中。结果:我们已将扫描工具箱应用于四个代谢网络以证明ITSApplicability。结论:扫描将COBRA框架扩展到大型代谢网络的结构分析,包括重建无向和指导的代谢物以及以酶为中心的网络。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号