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From sequence to yield: deep learning for protein production systems
Evangelos-Marios Nikolados, View ORCID ProfileOisin Mac Aodha, View ORCID ProfileGuillaume Cambray, View ORCID ProfileDiego A. Oyarzún
doi: https://doi.org/10.1101/2021.11.18.468948
Evangelos-Marios Nikolados
1School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JH, UK
Oisin Mac Aodha
2School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK
3The Alan Turing Institute, London, NW1 2DB, UK
Guillaume Cambray
4Diversité des Génomes et Interactions Microorganismes Insectes, University of Montpellier, INRAE UMR 1333, Montpellier, France
5Centre de Biologie Structurale, University of Montpellier, INSERM U1054, CNRS UMR5048, Montpellier, France
Diego A. Oyarzún
1School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JH, UK
2School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK
3The Alan Turing Institute, London, NW1 2DB, UK
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Posted November 19, 2021.
From sequence to yield: deep learning for protein production systems
Evangelos-Marios Nikolados, Oisin Mac Aodha, Guillaume Cambray, Diego A. Oyarzún
bioRxiv 2021.11.18.468948; doi: https://doi.org/10.1101/2021.11.18.468948
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