Editorial: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-12-01
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| Series: | Frontiers in Molecular Biosciences |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmolb.2022.1098289/full |
| _version_ | 1811311338356473856 |
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| author | Frederic Cadet Frederic Cadet Emma Saavedra Per-Olof Syren Per-Olof Syren Brigitte Gontero |
| author_facet | Frederic Cadet Frederic Cadet Emma Saavedra Per-Olof Syren Per-Olof Syren Brigitte Gontero |
| author_sort | Frederic Cadet |
| collection | DOAJ |
| first_indexed | 2024-04-13T10:17:14Z |
| format | Article |
| id | doaj.art-391f961d6fe144f5a11ecae42fd59881 |
| institution | Directory Open Access Journal |
| issn | 2296-889X |
| language | English |
| last_indexed | 2024-04-13T10:17:14Z |
| publishDate | 2022-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Molecular Biosciences |
| spelling | doaj.art-391f961d6fe144f5a11ecae42fd598812022-12-22T02:50:40ZengFrontiers Media S.A.Frontiers in Molecular Biosciences2296-889X2022-12-01910.3389/fmolb.2022.10982891098289Editorial: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathwaysFrederic Cadet0Frederic Cadet1Emma Saavedra2Per-Olof Syren3Per-Olof Syren4Brigitte Gontero5Laboratory of Excellence LABEX GR, DSIMB, Inserm UMR S1134, University of Paris City and University of Reunion, Paris, FrancePEACCEL, Artificial Intelligence Department, Paris, FranceDepartment of Biochemistry, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, MexicoScience for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology, and Health, KTH Royal Institute of Technology, Stockholm, SwedenDepartment of Fibre and Polymer Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, SwedenAix Marseille University, CNRS, UMR7281 Bioénergétique et Ingénierie des Protéines, Marseille, Francehttps://www.frontiersin.org/articles/10.3389/fmolb.2022.1098289/fullepistasisnon-linear interactionsmachine learningartificial intelligenceRNA enzymeCrohn ‘s disease |
| spellingShingle | Frederic Cadet Frederic Cadet Emma Saavedra Per-Olof Syren Per-Olof Syren Brigitte Gontero Editorial: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways Frontiers in Molecular Biosciences epistasis non-linear interactions machine learning artificial intelligence RNA enzyme Crohn ‘s disease |
| title | Editorial: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways |
| title_full | Editorial: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways |
| title_fullStr | Editorial: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways |
| title_full_unstemmed | Editorial: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways |
| title_short | Editorial: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways |
| title_sort | editorial machine learning epistasis and protein engineering from sequence structure function relationships to regulation of metabolic pathways |
| topic | epistasis non-linear interactions machine learning artificial intelligence RNA enzyme Crohn ‘s disease |
| url | https://www.frontiersin.org/articles/10.3389/fmolb.2022.1098289/full |
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