Abstract
A new study proposes a modelling strategy to identify reactions, genes and metabolites relevant in hepatocellular carcinoma using in silico and in vivo analyses. The proposed genome-scale metabolic model integrates genomic and proteomic information, and points to statins, among others, as potential chemopreventive and anticancer drugs.
Publication types
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Research Support, N.I.H., Extramural
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Research Support, Non-U.S. Gov't
MeSH terms
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Algorithms
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Carcinoma, Hepatocellular / drug therapy
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Carcinoma, Hepatocellular / genetics
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Carcinoma, Hepatocellular / metabolism*
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Genome
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Humans
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Liver Neoplasms / drug therapy
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Liver Neoplasms / genetics
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Liver Neoplasms / metabolism*
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Models, Theoretical