From genomes to in silico cells via metabolic networks.

by: I Borodina, J Nielsen

Curr Opin Biotechnol, Vol. 16, No. 3. (June 2005), pp. 350-355.

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Abstract

Genome-scale metabolic models are the focal point of systems biology as they allow the collection of various data types in a form suitable for mathematical analysis. High-quality metabolic networks and metabolic networks with incorporated regulation have been successfully used for the analysis of phenotypes from phenotypic arrays and in gene-deletion studies. They have also been used for gene expression analysis guided by metabolic network structure, leading to the identification of commonly regulated genes. Thus, genome-scale metabolic modeling currently stands out as one of the most promising approaches to obtain an in silico prediction of cellular function based on the interaction of all of the cellular components.

@article{citeulike:1512220, abstract = {Genome-scale metabolic models are the focal point of systems biology as they allow the collection of various data types in a form suitable for mathematical analysis. High-quality metabolic networks and metabolic networks with incorporated regulation have been successfully used for the analysis of phenotypes from phenotypic arrays and in gene-deletion studies. They have also been used for gene expression analysis guided by metabolic network structure, leading to the identification of commonly regulated genes. Thus, genome-scale metabolic modeling currently stands out as one of the most promising approaches to obtain an in silico prediction of cellular function based on the interaction of all of the cellular components.}, address = {Center for Microbial Biotechnology, BioCentrum-DTU, Building 223, DK-2800 Kgs Lyngby, Denmark.}, author = {Borodina, I. and Nielsen, J. }, citeulike-article-id = {1512220}, doi = {http://dx.doi.org/10.1016/j.copbio.2005.04.008}, issn = {0958-1669}, journal = {Curr Opin Biotechnol}, keywords = {metabolism, systems\_biology}, month = {June}, number = {3}, pages = {350--355}, posted-at = {2007-07-30 06:47:35}, priority = {5}, title = {From genomes to in silico cells via metabolic networks.}, url = {http://dx.doi.org/10.1016/j.copbio.2005.04.008}, volume = {16}, year = {2005} }

RIS record

TY - JOUR ID - citeulike:1512220 L3 - citeulike-article-id:1512220 TI - From genomes to in silico cells via metabolic networks. JF - Curr Opin Biotechnol VL - 16 IS - 3 SP - 350 EP - 355 AD - Center for Microbial Biotechnology, BioCentrum-DTU, Building 223, DK-2800 Kgs Lyngby, Denmark. SN - 0958-1669 N2 - Genome-scale metabolic models are the focal point of systems biology as they allow the collection of various data types in a form suitable for mathematical analysis. High-quality metabolic networks and metabolic networks with incorporated regulation have been successfully used for the analysis of phenotypes from phenotypic arrays and in gene-deletion studies. They have also been used for gene expression analysis guided by metabolic network structure, leading to the identification of commonly regulated genes. Thus, genome-scale metabolic modeling currently stands out as one of the most promising approaches to obtain an in silico prediction of cellular function based on the interaction of all of the cellular components. KW - metabolism KW - systems_biology AU - Borodina, I AU - Nielsen, J PY - 2005/06// UR - http://dx.doi.org/10.1016/j.copbio.2005.04.008 ER -

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