Schäuble Sascha, Schuster Stefan, Kaleta Christoph
Department of Bioinformatics, Friedrich Schiller University Jena, Jena, Germany.
Methods Enzymol. 2011;500:437-56. doi: 10.1016/B978-0-12-385118-5.00022-0.
The aim of this chapter is to discuss the basic principles and reasoning behind elementary flux mode analysis (EFM analysis)--an important tool for the analysis of metabolic networks. We begin with a short introduction into metabolic pathway analysis and subsequently outline in detail fundamentals of EFM analysis by way of a small example network. We discuss issues arising in the reconstruction of metabolic networks required for EFM analysis and how they can be circumvented. Subsequently, we analyze a more elaborate example network representing photosynthate metabolism. Finally, we give an overview of applications of EFM analysis in biotechnology and other fields and discuss issues arising when applying methods from metabolic pathway analysis to genome-scale metabolic networks.
本章旨在讨论基本通量模式分析（EFM分析）背后的基本原理和推理过程，EFM分析是代谢网络分析的一项重要工具。我们首先简要介绍代谢途径分析，随后通过一个小型示例网络详细概述EFM分析的基本原理。我们将讨论EFM分析所需的代谢网络重建过程中出现的问题以及如何规避这些问题。随后，我们分析一个更复杂的代表光合产物代谢的示例网络。最后，我们概述EFM分析在生物技术和其他领域的应用，并讨论将代谢途径分析方法应用于基因组规模代谢网络时出现的问题。
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