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  Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models

Espinel-Rios, S., Behrendt, G., Bauer, J., Morabito, B., Pohlodek, J., Schütze, A., et al. (2024). Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models. Process Biochemistry, (143), 174-185. doi:10.1016/j.procbio.2024.04.032.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-6706-7 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-6707-6
Genre: Journal Article

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espinel_rios_3570628.pdf (Publisher version), 6MB
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https://hdl.handle.net/21.11116/0000-000F-6708-5
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espinel_rios_3570628.pdf
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© 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under a CC BY license.
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https://creativecommons.org/licenses/by/4.0/

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 Creators:
Espinel-Rios, Sebastian1, Author           
Behrendt, Gerrich1, Author           
Bauer, Jasmin1, Author           
Morabito, Bruno2, Author
Pohlodek, Johannes3, Author
Schütze, Andrea1, Author
Findeisen, Rolf3, Author
Bettenbrock, Katja1, Author                 
Klamt, Steffen1, 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, Meitnerstraße 9, Stuttgart, 70563, Germany, ou_persistent22              
3 Control and Cyber-Physical Systems Laboratory, Technical University of Darmstadt, Landgraf-Georg-Straße 4, Darmstadt, 64283, 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: 10.1016/j.procbio.2024.04.032
Other: data_escidoc:3592190
 Degree: -

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Title: Process Biochemistry
Source Genre: Journal
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Publ. Info: Barking, Essex, England : Elsevier Advanced Technology Publications
Pages: - Volume / Issue: (143) Sequence Number: - Start / End Page: 174 - 185 Identifier: ISSN: 0032-9592
CoNE: https://pure.mpg.de/cone/journals/resource/110992357403106