Accurate prediction of in vivo protein abundances by coupling constraint-based 
modelling and machine learning

Moura Ferreira, M.A.D.; Wendering, P.; Arend, M.; Batista da Silveira, W.; Nikoloski, Z.

doi:10.1016/j.ymben.2023.09.014

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Accurate prediction of in vivo protein abundances by coupling constraint-based modelling and machine learning

Moura Ferreira, M., Wendering, P., Arend, M., Batista da Silveira, W., & Nikoloski, Z. (2023). Accurate prediction of in vivo protein abundances by coupling constraint-based modelling and machine learning. Metabolic Engineering, 80, 184-192. doi:10.1016/j.ymben.2023.09.014.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-D328-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-D32A-6

Genre: Journal Article

Alternative Title : Metabolic Engineering

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Creators:
Moura Ferreira, M.A.D.¹, Author
Wendering, P.², Author
Arend, M.², Author
Batista da Silveira, W.¹, Author
Nikoloski, Z.², Author

Affiliations:
1external, ou_persistent22
2Mathematical Modelling and Systems Biology - Nikoloski, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753310

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Language(s): eng - English

Dates: Published Online: 2023-10-15Date issued: 2023-11

Publication Status: Issued

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Identifiers: DOI: 10.1016/j.ymben.2023.09.014

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Title: Metabolic Engineering

Source Genre: Journal

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Publ. Info: Brugge, Belgium : Academic Press

Pages: - Volume / Issue: 80 Sequence Number: - Start / End Page: 184 - 192 Identifier: ISSN: 1096-7176
CoNE: https://pure.mpg.de/cone/journals/resource/954922651200