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Metabolic network modeling in multicellular organisms is confounded by the existence of multiple tissues with distinct metabolic functions. By integrating a genome-scale metabolic network with tissue-specific gene- and protein-expression data, Shlomi et al. adapt constraint-based approaches used for microorganisms to predicting metabolism in ten human tissues. Their computational approach should facilitate interpretation of expression data in the context of metabolic disorders.
Nature Biotechnology – Springer Journals
Published: Aug 17, 2008
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