An analysis of a ‘community-driven’ reconstruction of the human metabolic network

被引:0
|
作者
Neil Swainston
Pedro Mendes
Douglas B. Kell
机构
[1] The University of Manchester,School of Chemistry
[2] The University of Manchester,Manchester Institute of Biotechnology
[3] The University of Manchester,School of Computer Science
[4] Virginia Tech,Virginia Bioinformatics Institute
来源
Metabolomics | 2013年 / 9卷
关键词
Metabolism; Modelling; Systems biology; Networks; Metabolic networks;
D O I
暂无
中图分类号
学科分类号
摘要
Following a strategy similar to that used in baker’s yeast (Herrgård et al. Nat Biotechnol 26:1155–1160, 2008). A consensus yeast metabolic network obtained from a community approach to systems biology (Herrgård et al. 2008; Dobson et al. BMC Syst Biol 4:145, 2010). Further developments towards a genome-scale metabolic model of yeast (Dobson et al. 2010; Heavner et al. BMC Syst Biol 6:55, 2012). Yeast 5—an expanded reconstruction of the Saccharomyces cerevisiae metabolic network (Heavner et al. 2012) and in Salmonella typhimurium (Thiele et al. BMC Syst Biol 5:8, 2011). A community effort towards a knowledge-base and mathematical model of the human pathogen Salmonellatyphimurium LT2 (Thiele et al. 2011), a recent paper (Thiele et al. Nat Biotechnol 31:419–425, 2013). A community-driven global reconstruction of human metabolism (Thiele et al. 2013) described a much improved ‘community consensus’ reconstruction of the human metabolic network, called Recon 2, and the authors (that include the present ones) have made it freely available via a database at http://humanmetabolism.org/ and in SBML format at Biomodels (http://identifiers.org/biomodels.db/MODEL1109130000). This short analysis summarises the main findings, and suggests some approaches that will be able to exploit the availability of this model to advantage.
引用
收藏
页码:757 / 764
页数:7
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