A reliable simulator for dynamic flux balance analysis

2012 ◽  
Vol 110 (3) ◽  
pp. 792-802 ◽  
Author(s):  
K. Höffner ◽  
S. M. Harwood ◽  
P. I. Barton
Keyword(s):  
Flux Balance Analysis ◽  
Dynamic Flux Balance Analysis ◽  
Flux Balance ◽  
Balance Analysis

Dynamic flux balance analysis of biomass and lipid production by Antarctic thraustochytrid Oblongichytrium sp. RT2316‐13

2020 ◽  
Vol 117 (10) ◽  
pp. 3006-3017 ◽  
Author(s):  
Carolina Shene ◽  
Paris Paredes ◽  
Liset Flores ◽  
Allison Leyton ◽  
Juan A. Asenjo ◽  
...  
Keyword(s):  
Flux Balance Analysis ◽  
Lipid Production ◽  
Dynamic Flux Balance Analysis ◽  
Flux Balance ◽  
Balance Analysis

scholarly journals Multiscale Metabolic Modeling: Dynamic Flux Balance Analysis on a Whole-Plant Scale

2013 ◽  
Vol 163 (2) ◽  
pp. 637-647 ◽  
Author(s):  
E. Grafahrend-Belau ◽  
A. Junker ◽  
A. Eschenroder ◽  
J. Muller ◽  
F. Schreiber ◽  
...  
Keyword(s):  
Flux Balance Analysis ◽  
Metabolic Modeling ◽  
Dynamic Flux Balance Analysis ◽  
Flux Balance ◽  
Whole Plant ◽  
Balance Analysis

Application of dynamic flux balance analysis to an industrial Escherichia coli fermentation

2010 ◽  
Vol 12 (2) ◽  
pp. 150-160 ◽  
Author(s):  
Adam L. Meadows ◽  
Rahi Karnik ◽  
Harry Lam ◽  
Sean Forestell ◽  
Brad Snedecor
Keyword(s):  
Escherichia Coli ◽  
Flux Balance Analysis ◽  
Dynamic Flux Balance Analysis ◽  
Flux Balance ◽  
Balance Analysis

DYNAMIC FLUX BALANCE ANALYSIS FOR PREDICTING GENE OVEREXPRESSION EFFECTS IN BATCH CULTURES

2014 ◽  
Vol 22 (03) ◽  
pp. 327-338 ◽  
Author(s):  
CAROL MILENA BARRETO-RODRIGUEZ ◽  
JESSICA PAOLA RAMIREZ-ANGULO ◽  
JORGE MARIO GOMEZ RAMIREZ ◽  
LUKE ACHENIE ◽  
HAROLD MOLINA-BULLA ◽  
...  
Keyword(s):  
Flux Balance Analysis ◽  
Metabolic Networks ◽  
Ethanol Concentration ◽  
Batch Cultures ◽  
Dynamic Flux Balance Analysis ◽  
Optimization Framework ◽  
Flux Balance ◽  
Balance Analysis ◽  
Engineering Strategy ◽  
Technological Platforms

The advent of numerous technological platforms for genome sequencing has led to increasing understanding and construction of metabolic networks. A popular system engineering strategy is used to analyze microbial metabolic networks is flux balance analysis (FBA). In recent times, there has been a lot of interest in the study of the metabolic network dynamics when genes are overexpressed in the system. Herein, an optimization framework, which employs dynamic flux balance analysis (DFBA) is proposed for predicting ethanol concentration profiles in glycerol fermentations using Escherichia coli. In silico results were experimentally validated by overexpressing alcohol/acetaldehyde dehydrogenase adhE, pyruvate kinase pykF, pyruvate formate-lyase pflB and isoleucine-valine enzymes ilvC and llvL.

Sign in / Sign up

Export Citation Format

Share Document