Genome-scale metabolic networks

被引:81
作者
Terzer, Marco [1 ]
Maynard, Nathaniel D. [2 ]
Covert, Markus W. [2 ]
Stelling, Joerg [1 ]
机构
[1] Swiss Fed Inst Technol, Dept Biosyst Sci & Engn, Zurich, Switzerland
[2] Stanford Univ, Dept Bioengn, Stanford, CA 94305 USA
关键词
FLUX BALANCE MODELS; MINIMAL CUT SETS; IN-SILICO MODELS; ESCHERICHIA-COLI; GENE-EXPRESSION; GEOBACTER-SULFURREDUCENS; CONSERVATION ANALYSIS; ADAPTIVE EVOLUTION; PATHWAY ANALYSIS; HIGH-THROUGHPUT;
D O I
10.1002/wsbm.37
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
During the last decade, models have been developed to characterize cellular metabolism at the level of an entire metabolic network. The main concept that underlies whole-network metabolic modeling is the identification and mathematical definition of constraints. Here, we review large-scale metabolic network modeling, in particular, stoichiometric-and constraint-based approaches. Although many such models have been reconstructed, few networks have been extensively validated and tested experimentally, and we focus on these. We describe how metabolic networks can be represented using stoichiometric matrices and well-defined constraints on metabolic fluxes. We then discuss relatively successful approaches, including flux balance analysis (FBA), pathway analysis, and common extensions or modifications to these approaches. Finally, we describe techniques for integrating these approaches with models of other biological processes. (C) 2009 John Wiley & Sons, Inc. WIREs Syst Biol Med 2009 1 285-297
引用
收藏
页码:285 / 297
页数:13
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