Application of dynamic metabolic flux analysis for process modeling: Robust flux estimation with regularization, confidence bounds, and selection of elementary modes-Reference-Cited by-同舟云学术

Application of dynamic metabolic flux analysis for process modeling: Robust flux estimation with regularization, confidence bounds, and selection of elementary modes

Published:2020-05-12 Issue:7 Volume:117 Page:2058-2073
ISSN:0006-3592
Container-title:Biotechnology and Bioengineering
language:en
Short-container-title:Biotechnology and Bioengineering

Author:

Hebing Lukas¹²^ORCID,Neymann Tobias¹,Engell Sebastian²

Affiliation:

1. Bayer AG Leverkusen Germany

2. Process Dynamics and Operations group TU Dortmund University Dortmund Germany

Funder

Bayer AG

Publisher

Wiley

Subject

Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bit.27340

Reference19 articles.

1. Inference of dynamic macroscopic models of cell metabolism based on elementary flux modes analysis

2. Adaptive, Model-Based Control by the Open-Loop-Feedback-Optimal (OLFO) Controller for the Effective Fed-Batch Cultivation of Hybridoma Cells

3. Dynamic Metabolic Modeling for a MAB Bioprocess

4. Efficient Generation of Models of Fed-Batch Fermentations for Process Design and Control

5. Automatic identification of structured process models based on biological phenomena detected in (fed-)batch experiments

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