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Identification of anticancer drugs for hepatocellular carcinoma through personalized genome‐scale me...

Identification of anticancer drugs for hepatocellular carcinoma through personalized genome‐scale me...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b7b0c2dd1a1148748b687eba00f49b6d

Identification of anticancer drugs for hepatocellular carcinoma through personalized genome‐scale metabolic modeling

About this item

Full title

Identification of anticancer drugs for hepatocellular carcinoma through personalized genome‐scale metabolic modeling

Publisher

London: Nature Publishing Group UK

Journal title

Molecular systems biology, 2014-03, Vol.10 (3), p.721-n/a

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Genome‐scale metabolic models (GEMs) have proven useful as scaffolds for the integration of omics data for understanding the genotype–phenotype relationship in a mechanistic manner. Here, we evaluated the presence/absence of proteins encoded by 15,841 genes in 27 hepatocellular carcinoma (HCC) patients using immunohistochemistry. We used this infor...

Alternative Titles

Full title

Identification of anticancer drugs for hepatocellular carcinoma through personalized genome‐scale metabolic modeling

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b7b0c2dd1a1148748b687eba00f49b6d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b7b0c2dd1a1148748b687eba00f49b6d

Other Identifiers

ISSN

1744-4292

E-ISSN

1744-4292

DOI

10.1002/msb.145122