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  Toward a modeling, optimization, and predictive control framework for fed-batch metabolic cybergenetics

Espinel-Rios, S., Morabito, B., Pohlodek, J., Bettenbrock, K., Klamt, S., & Findeisen, R. (2024). Toward a modeling, optimization, and predictive control framework for fed-batch metabolic cybergenetics. Biotechnology and Bioengineering, 121(1), 366-379. doi:10.1002/bit.28575.

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Espinel_Ríos_3562088.pdf (Publisher version), 2MB
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This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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 Creators:
Espinel-Rios, Sebastian1, Author           
Morabito, Bruno2, Author
Pohlodek, Johannes3, Author
Bettenbrock, Katja1, Author                 
Klamt, Steffen1, Author           
Findeisen, Rolf3, Author
Affiliations:
1Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738139              
2Yokogawa Insilico Biotechnology GmbH, Stuttgart, Germany, ou_persistent22              
3Control and Cyber-Physical Systems Laboratory, Technical University of Darmstadt, Darmstadt, Germany, ou_persistent22              

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Language(s): eng - English
 Dates: 2024
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1002/bit.28575
Other: data_escidoc:3562088
 Degree: -

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Title: Biotechnology and Bioengineering
  Other : Biotechnol. Bioeng.
Source Genre: Journal
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Publ. Info: New York : Wiley [etc.]
Pages: - Volume / Issue: 121 (1) Sequence Number: - Start / End Page: 366 - 379 Identifier: ISSN: 0006-3592
CoNE: https://pure.mpg.de/cone/journals/resource/111088195273104