Prediction of metabolic flux distribution from gene expression data based on the flux minimization principle

PLoS ONE

Volumn 9, Issue 11, 2014, Pages

  Song, Hyun Seob ^a,b   Reifman, Jaques ^a   Wallqvist, Anders ^a  

^a U S ARMY MEDICAL RESEARCH AND MATERIEL COMMAND   (United States)

^b PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MESSENGER RNA;

ACCURACY; ARTICLE; BACTERIAL METABOLISM; BACTERIAL STRAIN; BACTERIUM IDENTIFICATION; BIOMASS PRODUCTION; CONTROLLED STUDY; ENZYME MECHANISM; ESCHERICHIA COLI; FUNGAL METABOLISM; FUNGAL STRAIN; FUNGUS IDENTIFICATION; GENE EXPRESSION; GENE IDENTIFICATION; GENETIC ALGORITHM; MEASUREMENT ERROR; METABOLIC FLUX ANALYSIS; NONHUMAN; PREDICTION; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; QUANTITATIVE ANALYSIS; SACCHAROMYCES CEREVISIAE; STEADY STATE; ALGORITHM; BIOLOGICAL MODEL; GENE EXPRESSION PROFILING; HUMAN; METABOLISM; PHYSIOLOGY; PROCEDURES;

ESCHERICHIA COLI; SACCHAROMYCES CEREVISIAE;

ALGORITHMS; ESCHERICHIA COLI; GENE EXPRESSION PROFILING; HUMANS; METABOLIC FLUX ANALYSIS; METABOLIC NETWORKS AND PATHWAYS; MODELS, BIOLOGICAL; RNA, MESSENGER; SACCHAROMYCES CEREVISIAE;

EID: 84911888355     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0112524     Document Type: Article

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