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Article

Phenotype-based cell-specific metabolic modeling reveals metabolic liabilities of cancer.

eLife - 21 Nov 2014

Yizhak Keren, Gaude Edoardo, Le Dévédec Sylvia, Waldman Yedael Y, Stein Gideon Y, van de Water Bob, Frezza Christian, Ruppin Eytan

Abstract excerpt

Utilizing molecular data to derive functional physiological models tailored for specific cancer cells can facilitate the use of individually tailored therapies. To this end we present an approach termed PRIME for generating cell-specific genome-scale metabolic models (GSMMs) based on molecular and phenotypic data. We build >280 models of normal and cancer cell-lines that successfully predict metabolic phenotypes...

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Identifiers

PMID: 25415239
DOI: 10.7554/eLife.03641
PMCID: PMC4238051

Genes

MLYCD

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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