Metabolic flux distributions: Genetic information, computational predictions, and experimental validation

Applied Microbiology and Biotechnology

Volumn 86, Issue 5, 2010, Pages 1243-1255

  Blank, Lars M ^a   Kuepfer, Lars ^b  

^a TU DORTMUND UNIVERSITY   (Germany)

^b BAYER AG   (Germany)

Author keywords

13C metabolic flux analysis; Flux balance analysis; Industrial biotechnology; Metabolic engineering; Metabolic network analysis; Synthetic biology

Indexed keywords

FLUX BALANCE ANALYSIS; INDUSTRIAL BIOTECHNOLOGY; METABOLIC ENGINEERING; METABOLIC FLUX ANALYSIS; METABOLIC NETWORK ANALYSIS; SYNTHETIC BIOLOGY;

BIOTECHNOLOGY; ELECTRIC NETWORK ANALYSIS; ENGINEERING; GENES; HAND TOOLS;

METABOLISM;

LYSINE; PROTEOME; REDUCED NICOTINAMIDE ADENINE DINUCLEOTIDE PHOSPHATE; SUCCINIC ACID; TRANSCRIPTOME;

BIOENGINEERING; BIOTECHNOLOGY; COMPUTER SIMULATION; EXPERIMENTAL STUDY; FLUX MEASUREMENT; METABOLISM; PHENOTYPE; QUANTITATIVE ANALYSIS;

GENETICS; METABOLISM; METABOLOME; MICROORGANISM; NONHUMAN; PHENOTYPE; SHORT SURVEY;

COMPUTATIONAL BIOLOGY; GENETIC CODE; GENETIC ENGINEERING; METABOLIC NETWORKS AND PATHWAYS; MODELS, BIOLOGICAL; SACCHAROMYCES CEREVISIAE;

EID: 77952891125     PISSN: 01757598     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00253-010-2506-6     Document Type: Short Survey

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