scholarly journals Dynamic flux balance analysis for predicting biomass growth and ethanol production in yeast fed-batch cultures

2018 ◽  
Vol 51 (2) ◽  
pp. 631-636 ◽  
Author(s):  
J. Plaza ◽  
Ph. Bogaerts
2011 ◽  
Vol 16 (1) ◽  
pp. 13-22 ◽  
Author(s):  
Iliana Barrera-Martínez ◽  
R. Axayácatl González-García ◽  
Edgar Salgado-Manjarrez ◽  
Juan S. Aranda-Barradas

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 ◽  
...  

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.


2020 ◽  
Vol 117 (10) ◽  
pp. 3006-3017 ◽  
Author(s):  
Carolina Shene ◽  
Paris Paredes ◽  
Liset Flores ◽  
Allison Leyton ◽  
Juan A. Asenjo ◽  
...  

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

2013 ◽  
Vol 163 (2) ◽  
pp. 637-647 ◽  
Author(s):  
E. Grafahrend-Belau ◽  
A. Junker ◽  
A. Eschenroder ◽  
J. Muller ◽  
F. Schreiber ◽  
...  

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