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微生物细胞的基因组规模模型:评估约束条件的影响。

Genome-scale models of microbial cells: evaluating the consequences of constraints.

作者信息

Price Nathan D, Reed Jennifer L, Palsson Bernhard Ø

机构信息

Department of Bioengineering, University of California, San Diego, La Jolla, California 92093, USA.

出版信息

Nat Rev Microbiol. 2004 Nov;2(11):886-97. doi: 10.1038/nrmicro1023.

Abstract

Microbial cells operate under governing constraints that limit their range of possible functions. With the availability of annotated genome sequences, it has become possible to reconstruct genome-scale biochemical reaction networks for microorganisms. The imposition of governing constraints on a reconstructed biochemical network leads to the definition of achievable cellular functions. In recent years, a substantial and growing toolbox of computational analysis methods has been developed to study the characteristics and capabilities of microorganisms using a constraint-based reconstruction and analysis (COBRA) approach. This approach provides a biochemically and genetically consistent framework for the generation of hypotheses and the testing of functions of microbial cells.

摘要

微生物细胞在限制其可能功能范围的调控约束条件下运行。随着带注释基因组序列的可得性,重建微生物的基因组规模生化反应网络已成为可能。对重建的生化网络施加调控约束会导致可实现的细胞功能的定义。近年来,已经开发出大量且不断增加的计算分析方法工具箱,用于使用基于约束的重建和分析(COBRA)方法研究微生物的特征和能力。这种方法为生成假设和测试微生物细胞的功能提供了一个生化和遗传上一致的框架。

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