The Escherichia coli MG1655 in silico metabolic genotype:: Its definition, characteristics, and capabilities
The Escherichia coli MG1655 in silico metabolic genotype:: Its definition, characteristics, and capabilities
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DOI：
10.1073/pnas.97.10.5528
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发表时间：
2000-05-09
影响因子：
11.1
通讯作者：
Palsson, BO
中科院分区：
文献类型：
--
作者：
Edwards, JS;Palsson, BO
大肠杆菌MG1655基因组已完全测序。注释的序列，生化信息，和其他信息被用来重建E。大肠杆菌代谢图谱。计算了大肠杆菌各代谢酶的化学计量系数。大肠杆菌代谢图谱，构建基因组特异性化学计量矩阵。急诊大肠杆菌化学计量矩阵用于定义系统的特性和E.评估了中心代谢途径中的基因缺失对计算机模拟代谢网络支持生长的能力的影响，并将计算机模拟预测与实验观察进行了比较。结果表明，基于化学计量和容量限制，计算机分析能够定性预测86%的突变株的生长潜力。在本文中，它表明，在电脑合成代谢基因型的基础上的基因组，生物化学和菌株特异性信息是可能的，系统分析方法可用于分析和解释的代谢表型。
The Escherichia coli MG1655 genome has been completely sequenced. The annotated sequence, biochemical information, and other information were used to reconstruct the E. coli metabolic map. The stoichiometric coefficients for each metabolic enzyme in the E. coli metabolic map were assembled to construct a genome-specific stoichiometric matrix. The E. coli stoichiometric matrix was used to define the system's characteristics and the capabilities of E. coli metabolism The effects of gene deletions in the central metabolic pathways on the ability of the in silico metabolic network to support growth were assessed, and the in silico predictions were compared with experimental observations. It was shown that based on stoichiometric and capacity constraints the in silico analysis was able to qualitatively predict the growth potential of mutant strains in 86% of the cases examined. Herein, it is demonstrated that the synthesis of in silico metabolic genotypes based an genomic, biochemical, and strain-specific information is possible, and that systems analysis methods are available to analyze and interpret the metabolic phenotype.