Predicting genetic engineering targets with Elementary Flux Mode Analysis: A review of four current methods

New Biotechnology

Volumn 32, Issue 6, 2015, Pages 534-546

  Ruckerbauer, David E ^a,b   Jungreuthmayer, Christian ^a,b   Zanghellini, Jürgen ^a,b  

^a AUSTRIAN CENTRE OF INDUSTRIAL BIOTECHNOLOGY   (Austria)

^b UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ENGINEERING; METABOLISM;

HOST CELLS; INCREASE PRODUCTIONS; METABOLIC MODELING; METABOLIC NETWORK; MODE ANALYSIS; SMALL SCALE; STEADY STATE; TOY MODELS;

FORECASTING;

ALGORITHM; ANALYSIS; AUTODESIGN; COMPUTATIONAL APPROACH FOR STRAIN OPTIMIZATION AIMING AT HIGH PRODUCTIVITY; CONSTRAINED MINIMAL CUT SET; CONSTRAINTS BASED RECONSTRUCTION AND ANALYSIS; ELEMENTARY FLUX MODE; GENETIC ENGINEERING; HOST; METABOLIC MODEL; MICROORGANISM; MINIMAL CUT SET; MODEL; PRIORITY JOURNAL; REVIEW; STEADY STATE; ANIMAL; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER SIMULATION; GENE EXPRESSION REGULATION; HUMAN; METABOLIC ENGINEERING; METABOLIC FLUX ANALYSIS; METABOLISM; METABOLOME; PHYSIOLOGY; SIGNAL TRANSDUCTION;

PROTEOME;

ALGORITHMS; ANIMALS; COMPUTER SIMULATION; GENE EXPRESSION REGULATION; HUMANS; METABOLIC ENGINEERING; METABOLIC FLUX ANALYSIS; METABOLOME; MODELS, BIOLOGICAL; PROTEOME; SIGNAL TRANSDUCTION;

EID: 84940959916     PISSN: 18716784     EISSN: 18764347     Source Type: Journal    
DOI: 10.1016/j.nbt.2015.03.017     Document Type: Review

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