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Editorial
. 2022 Dec 2:9:1098289.
doi: 10.3389/fmolb.2022.1098289. eCollection 2022.

Editorial: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways

Frederic Cadet  1   2 , Emma Saavedra  3 , Per-Olof Syren  4   5 , Brigitte Gontero  6
Affiliations
Editorial

Editorial: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways

Frederic Cadet et al. Front Mol Biosci. .
No abstract available

Keywords: Crohn ‘s disease; Protein-protein interaction networks; RNA enzyme; antibiotic resistance; artificial intelligence; epistasis; machine learning; non-linear interactions.

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Conflict of interest statement

Author FC is a member of the scientific board of Peaccel. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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  • Editorial on the Research Topic Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways

References

    1. Acevedo-Rocha C. G., Li A., D’Amore L., Hoebenreich S., Sanchis J., Lubrano P., et al. (2021). Pervasive cooperative mutational effects on multiple catalytic enzyme traits emerge via long-range conformational dynamics. Nat. Commun. 12, 1621. 10.1038/s41467-021-21833-w - DOI - PMC - PubMed
    1. Breen M. S., Kemena C., Vlasov P. K., Notredame C., Kondrashov F. A. (2012). Epistasis as the primary factor in molecular evolution. Nature 490, 535–538. 10.1038/nature11510 - DOI - PubMed
    1. Cadet X. F., Gelly J. C., van Noord A., Cadet F., Acevedo-Rocha C. G. (2022). “Learning strategies in protein directed evolution,” in Directed evolution, methods in molecular biology. Editors Currin A., Swainston N. (New York, NY: Springer US; ), 225–275. 10.1007/978-1-0716-2152-3_15 - DOI - PubMed
    1. Dauparas J., Anishchenko I., Bennett N., Bai H., Ragotte R. J., Milles L. F., et al. (2022). Robust deep learning–based protein sequence design using ProteinMPNN. Science 378, 49–56. 10.1126/science.add2187 - DOI - PMC - PubMed
    1. de Brevern A. G. (2022). An agnostic analysis of the human AlphaFold2 proteome using local protein conformations. Biochimie. 10.1016/j.biochi.2022.11.009 - DOI - PubMed

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