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

期刊

METABOLOMICS
卷 9, 期 4, 页码 757-764

出版社

SPRINGER
DOI: 10.1007/s11306-013-0564-3

关键词

Metabolism; Modelling; Systems biology; Networks; Metabolic networks

资金

  1. UK Biotechnology and Biological Sciences Research Council (BBSRC) [BB/K019783, BB/J019259, BB/J015512, BB/I020535, BB/I008349]
  2. European Commission [289434]
  3. US National Institute of General Medical Sciences [GM080219]
  4. Biotechnology and Biological Sciences Research Council [BB/K019783/1, BB/J019259/1] Funding Source: researchfish
  5. BBSRC [BB/J019259/1, BB/K019783/1] Funding Source: UKRI

向作者/读者索取更多资源

Following a strategy similar to that used in baker's yeast (Herrgard et al. Nat Biotechnol 26:1155-1160, 2008). Aconsensus yeast metabolic network obtained from a community approach to systems biology (Herrgard 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 Salmonella typhimurium 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.

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