Identification of optimal measurement sets for complete flux elucidation in metabolic flux analysis experiments

Biotechnology and Bioengineering

Volumn 100, Issue 6, 2008, Pages 1039-1049

  Chang, Young Jung ^a   Suthers, Patrick F ^a   Maranas, Costas D ^a  

^a The Pennsylvania State University   (United States)

Author keywords

Incidence structure analysis; Integer programming; Isotopomers; Metabolic flux analysis (MFA); Nonlinear optimization; Structural identifiability

Indexed keywords

E. COLI; EXTERNAL-; FLUX DISTRIBUTIONS; IDENTIFIABILITY; INCIDENCE STRUCTURE ANALYSIS; INTEGER LINEAR PROGRAMMING FORMULATION; ISOTOPOMER; ISOTOPOMERS; MAPPING MODEL; MAXIMUM FLUX; MEASUREMENT SETS; METABOLIC FLUX ANALYSIS; METABOLIC FLUX ANALYSIS (MFA); METABOLIC NETWORKS; NONLINEAR OPTIMIZATION; OPTIMAL MEASUREMENTS; OPTIMALITY; STRUCTURAL IDENTIFIABILITY; STRUCTURE ANALYSIS;

COST EFFECTIVENESS; ESCHERICHIA COLI; INTEGER PROGRAMMING; ISOTOPES; LINEAR PROGRAMMING; LINEARIZATION; MEASUREMENTS; STRUCTURAL OPTIMIZATION; WATER POLLUTION;

FLUXES;

ANALYTIC METHOD; ARTICLE; BACTERIAL STRAIN; COST EFFECTIVENESS ANALYSIS; ESCHERICHIA COLI; MATHEMATICAL MODEL; MEASUREMENT; METABOLIC FLUX ANALYSIS; NONHUMAN; SYSTEM ANALYSIS;

ESCHERICHIA COLI; ISOMERISM; ISOTOPES; KINETICS; LINEAR MODELS; MATHEMATICS; METABOLIC NETWORKS AND PATHWAYS; MODELS, BIOLOGICAL; PROPYLENE GLYCOLS; REFERENCE VALUES; RESEARCH DESIGN; SESQUITERPENES;

EID: 48649096375     PISSN: 00063592     EISSN: 10970290     Source Type: Journal    
DOI: 10.1002/bit.21926     Document Type: Article

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