代谢网络流分析方法概述

摘要

The microbial metabolic network is one of important fields of systems biology .The metabolic network flow analysis method has great significance in studying metabolic network properties .Metabolic network flow analysis method is a key to understand the rela-tionship between metabolic network structure and function , metabolic flow and gene expression .It has an important realistic signifi-cance in analyzing disease , identify target for drugs , pharmaceutical engineering and genetic modification .Several kinds of metabolic network flow analysis methods were reviewed in the paper in order to supply a reference for analyzing metabolic flux and thus guiding the experiments researches as well .They are flux balance analysis ( FBA) , minimization of metabolic adjustment ( MOMA) , regulatory on off minimization(ROOM), dynamic flux balance analysis with linear quadratic regulator (DFBA-LQR), the analysis of flow range (FVA), a bi-level programming framework for identifying gene knockout strategies (OptKnoock), up/down regulations of gene expres-sion(OptReg) and the framework for redesign of production systems (OptStrain).%生物体代谢网络模型是系统生物学的重要研究内容之一，代谢网络流分析方法在代谢网络分析中具有重要意义。了解代谢网络流量分析方法有助于理解代谢网络结构和功能的关系，代谢流量与基因表达的关系，在分析疾病，识别药物靶标，制药工程和基因改造方面具有重要现实意义。综述了几种常用代谢网络流分析方法：流平衡分析（ FBA）、代谢调节最小化分析（ MOMA）、调节开关最小化分析（ ROOM）、含有二次线性规划的动态流平衡分析方法（DFBA－LQR）、流量范围分析（FVA）、双层规划策略识别基因敲除（OptKnock）、基因表达上调下调（OptReg）和重新设计生产系统的计算框架（ OptStrain）等，以期为代谢网络流分析提供参考，并进一步为实验研究提供指导。