Expanding a dynamic flux balance model of yeast fermentation to genome-scale.

ABSTRACT:

Background

Yeast is considered to be a workhorse of the biotechnology industry for the production of many value-added chemicals, alcoholic beverages and biofuels. Optimization of the fermentation is a challenging task that greatly benefits from dynamic models able to accurately describe and predict the fermentation profile and resulting products under different genetic and environmental conditions. In this article, we developed and validated a genome-scale dynamic flux balance model, using experimentally determined kinetic constraints.

Results

Appropriate equations for maintenance, biomass composition, anaerobic metabolism and nutrient uptake are key to improve model performance, especially for predicting glycerol and ethanol synthesis. Prediction profiles of synthesis and c

SUBMITTER: Vargas FA 

PROVIDER: S-EPMC3118138 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature