Metabolic network reconstruction: advances in in silico interpretation of analytical information

被引：17

作者：

Chen, Ning ^{[1
]}

del Val, Loscani Jimenez ^{[1
]}

Kyriakopoulos, Sarantos ^{[1
]}

Polizzi, Karen M. ^{[2
,3
]}

Kontoravdi, Cleo ^{[1
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Dept Chem Engn, Ctr Proc Syst Engn, London SW7 2AZ, England

[2] Univ London Imperial Coll Sci Technol & Med, Dept Life Sci, Div Mol Biosci, London SW7 2AZ, England

[3] Univ London Imperial Coll Sci Technol & Med, Ctr Synthet Biol & Innovat, London SW7 2AZ, England

来源：

CURRENT OPINION IN BIOTECHNOLOGY | 2012年 / 23卷 / 01期

基金：

英国工程与自然科学研究理事会;

关键词：

FLUX BALANCE ANALYSIS; BIOCHEMICAL NETWORKS; ESCHERICHIA-COLI; RATE LAWS; MODELS; TOOL; KNOWLEDGEBASE; CONSTRUCTION;

D O I：

10.1016/j.copbio.2011.10.015

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Mathematical modelling is a powerful tool for the organisation and analysis of biological data. Both stoichiometric and kinetic models have been applied to the investigation of cellular metabolism in a variety of bacterial, yeast and mammalian hosts to elucidate metabolic network structure, optimise fermentation conditions and improve genetic engineering strategies among others. The current challenge is to interrelate different levels of information, from the genome to the transcriptome, the proteome and the metabolome, and experimental data from widely used high-throughput techniques to recreate a given phenotype and ultimately to make predictions about network and cellular behaviour.

引用

页码：77 / 82

页数：6

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