The effects of near optimal growth solutions in genome-scale human cancer metabolic model

IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012

Volumn , Issue , 2012, Pages 626-631

  Tzamali, Eleftheria ^a   Sakkalis, Vangelis ^a   Marias, Konstantinos ^a  

^a INSTITUTE OF COMPUTER SCIENCE   (Greece)

Author keywords

cancer metabolism; genome scale network; Glioblastoma Multiforme; in silico modeling; optimal growth

Indexed keywords

CANCER CELLS; CANCER DIAGNOSTICS; DIFFERENTIALLY EXPRESSED GENE; ENVIRONMENTAL CONDITIONS; GENOME-SCALE METABOLIC MODELS; GENOME-SCALE MODEL; GLIOBLASTOMA MULTIFORME; GLUCOSE UPTAKE; HUMAN CANCER; HUMAN CANCER CELLS; IN-SILICO; METABOLIC CAPABILITIES; METABOLIC MODELS; OPTIMAL GROWTH; PROLIFERATION RATE; PYRUVATES;

BIOINFORMATICS; CELLS; DISEASES; ENZYME INHIBITION; GENES; GLUCOSE; OPTIMIZATION; PATHOLOGY; PHYSIOLOGY;

METABOLISM;

EID: 84872843285     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2012.6399774     Document Type: Conference Paper

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