This title appears in the Scientific Report :
2017
Please use the identifier:
http://dx.doi.org/10.1007/s00285-017-1127-4 in citations.
Dynamic flux balance analysis with nonlinear objective function
Dynamic flux balance analysis with nonlinear objective function
Dynamic flux balance analysis (DFBA) extends flux balance analysis and enables the combined simulation of both intracellular and extracellular environments of microbial cultivation processes. A DFBA model contains two coupled parts, a dynamic part at the upper level (extracellular environment) and a...
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Personal Name(s): | Zhao, Xiao |
---|---|
Noack, Stephan / Wiechert, Wolfgang / Lieres, Eric von (Corresponding author) | |
Contributing Institute: |
Biotechnologie; IBG-1 |
Published in: | Journal of mathematical biology, 75 (2017) 6-7, S. 1487–1515 |
Imprint: |
Berlin
Springer
2017
|
PubMed ID: |
28401266 |
DOI: |
10.1007/s00285-017-1127-4 |
Document Type: |
Journal Article |
Research Program: |
Innovative Synergisms |
Publikationsportal JuSER |
Dynamic flux balance analysis (DFBA) extends flux balance analysis and enables the combined simulation of both intracellular and extracellular environments of microbial cultivation processes. A DFBA model contains two coupled parts, a dynamic part at the upper level (extracellular environment) and an optimization part at the lower level (intracellular environment). Both parts are coupled through substrate uptake and product secretion rates. This work proposes a Karush–Kuhn–Tucker condition based solution approach for DFBA models, which have a nonlinear objective function in the lower-level part. To solve this class of DFBA models an extreme-ray-based reformulation is proposed to ensure certain regularity of the lower-level optimization problem. The method is introduced by utilizing two simple example networks and then applied to a realistic model of central carbon metabolism of wild-type Corynebacterium glutamicum. |