Metabolism is becoming increasingly recognized as being integral to health and is involved in much of human disease. Multiple models of human metabolism have been reconstructed and used for various biomedical applications, but each represents only a subset of our knowledge.
A high-quality metabolic network reconstruction is thus of interest to the community of researchers focused on the systems biology of metabolism. This database contains the metabolic information of Recon 2 (Thiele, I. et al. Nat Biotech, 2013), the most comprehensive biochemical knowledge-base on human metabolism currently available. Recon 2 is a consensus metabolic reconstruction integrating metabolic information from five different resources:
- Recon 1, a global human metabolic reconstruction (Duarte et al, PNAS, 104(6), 1777-1782, 2007)
- EHMN, Edinburgh Human Metabolic Network (Hao et al., BMC Bioinformatics 11, 393, 2010)
- HepatoNet1, a liver metabolic reconstruction (Gille et al., Molecular Systems Biology 6, 411, 2010),
- Ac/FAO module, an acylcarnitine/fatty acid oxidation module (Sahoo et al., Molecular bioSystems 8, 2545-2558, 2012),
- a human small intestinal enterocytes reconstruction (Sahoo and Thiele, submitted).
Additionally, more than 370 transport and exchange reactions were added, based on a literature review.
Recon 2 is fully semantically annotated (Le Novère, N. et al. Nat Biotechnol 23, 1509-1515, 2005) with references to persistent and publicly available chemical and gene databases, unambiguously identifying its components and increasing its applicability for third-party users. Here you can explore the content of the reconstruction by searching/browsing metabolites and reactions. Recon 2 predictive model is available in the Systems Biology Markup Language format (SBML) at http://humanmetabolism.org, Biomodels model 1109130000.