Output details
11 - Computer Science and Informatics
University of Edinburgh
A community-driven global reconstruction of human metabolism
<28> Originality: Presents the Recon-2 model which represents current knowledge of human metabolism through the most comprehensive consensus metabolic reconstruction applicable to computational modelling.
Significance: Metabolism is integral to human and animal health. Metabolic reconstructions allow us to convert biological knowledge into computational models enabling network-wide scientific enquiry into the genotype-phenotype relationship. Recon-2 predicts more biomarkers for inborn errors of metabolism (IEMs), drug targets and off-target drug effects than any other model, plus most exometabolites.
Rigour: Tested for self-consistency through gap analysis and leak tests, the Recon-2 predictive model is available at http://humanmetabolism.org (>34,000 views), and as Biomodels model 1109130000.
