A Systems Approach to Predict Oncometabolites via Context-Specific Genome-Scale Metabolic Networks

PLoS Computational Biology

Volumn 10, Issue 9, 2014, Pages

  Nam, Hojung ^a,b   Campodonico, Miguel ^a,c   Bordbar, Aarash ^a   Hyduke, Daniel R ^a,f   Kim, Sangwoo ^d   Zielinski, Daniel C ^a   Palsson, Bernhard O ^a,e  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^b Gwangju Institute of Science and Technology (GIST)   (South Korea)

^c UNIVERSITY OF CHILE   (Chile)

^d Yonsei University College of Medicine   (South Korea)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f Utah State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CANCER CELLS; DISEASES; GENES;

CANCER CELLS; EPIGENETIC REGULATION; FUMARATES; GENOME-SCALE METABOLIC NETWORK; HYDRATASE; ISOCITRATE DEHYDROGENASE; MALIGNANT TRANSFORMATIONS; ONCOGENICS; SUCCINATE DEHYDROGENASE; SYSTEMS APPROACH;

METABOLISM;

ACUTE GRANULOCYTIC LEUKEMIA; ARTICLE; BREAST CARCINOMA; CANCER GENETICS; CANCER METABOLISM; CLEAR CELL CARCINOMA; COMPUTER MODEL; EPIGENETICS; GAIN OF FUNCTION MUTATION; GENE EXPRESSION PROFILING; GENETIC REGULATION; GENETIC VARIABILITY; GENOME; KIDNEY CARCINOMA; LIVER CELL CARCINOMA; LOSS OF FUNCTION MUTATION; LUNG ADENOCARCINOMA; LUNG SQUAMOUS CELL CARCINOMA; METABOLISM; METABOLITE; ONCOLOGICAL PARAMETERS; ONCOMETABOLITE; OVARY CARCINOMA; PANCREAS CARCINOMA; STOMACH ADENOCARCINOMA; BIOLOGICAL MODEL; CLUSTER ANALYSIS; COMPUTER SIMULATION; GENETICS; HUMAN; METABOLOME; MUTATION; NEOPLASM; PROCEDURES; SYSTEMS BIOLOGY; TUMOR CELL LINE;

CELL LINE, TUMOR; CLUSTER ANALYSIS; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; HUMANS; METABOLIC NETWORKS AND PATHWAYS; METABOLOME; MODELS, BIOLOGICAL; MUTATION; NEOPLASMS; SYSTEMS BIOLOGY;

EID: 84907584722     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003837     Document Type: Article

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