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[基本模式分析在生物网络和通路分析中的应用]

[Applications of elementary mode analysis in biological network and pathway analysis].

作者信息

Zhao Quanyu, Yu Shuiyan, Shi Jiping

机构信息

Biorefinery Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.

出版信息

Sheng Wu Gong Cheng Xue Bao. 2013 Jun;29(6):701-15.

Abstract

Elementary mode analysis is the widely applied tool in metabolic pathway analysis. Studies based on elementary mode analysis (EMA) were performed for both metabolic network and signal transduction network. Its analytical objective is from cell to bioreactor, and even ecological system. EMA is available to describe biological behaviors by steady state and dynamic models. Not only microorganism metabolism but also human health could be evaluated by EMA. The algorithms and software for calculating elementary mode (EM) were analyzed. The applications of EMA are reviewed such as special metabolic pathway and robustness of metabolic network, metabolic flux decomposition, metabolic flux analysis at steady state, dynamic model and bioprocess simulation, network structure and regulation, strain design and signal transduction network. Solving combinatorial explosion, exploring the relations between EM and metabolic regulation, and improving the algorithm efficiency of strain design are important issues of EMA in future.

摘要

基本模式分析是代谢途径分析中广泛应用的工具。基于基本模式分析(EMA)的研究已在代谢网络和信号转导网络中开展。其分析目标涵盖从细胞到生物反应器,甚至生态系统。EMA可通过稳态和动态模型来描述生物行为。EMA不仅能评估微生物代谢,还能用于评估人类健康。文中分析了计算基本模式(EM)的算法和软件。综述了EMA的应用,如特殊代谢途径和代谢网络的稳健性、代谢通量分解、稳态下的代谢通量分析、动态模型与生物过程模拟、网络结构与调控、菌株设计以及信号转导网络。解决组合爆炸问题、探索EM与代谢调控之间的关系以及提高菌株设计的算法效率是EMA未来的重要研究课题。

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