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Editorial: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755881/ https://www.ncbi.nlm.nih.gov/pubmed/36533069 http://dx.doi.org/10.3389/fmolb.2022.1098289 |
| _version_ | 1784851519043010560 |
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| author | Cadet, Frederic Saavedra, Emma Syren, Per-Olof Gontero, Brigitte |
| author_facet | Cadet, Frederic Saavedra, Emma Syren, Per-Olof Gontero, Brigitte |
| author_sort | Cadet, Frederic |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9755881 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Frontiers Media S.A. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-97558812022-12-17 Editorial: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways Cadet, Frederic Saavedra, Emma Syren, Per-Olof Gontero, Brigitte Front Mol Biosci Molecular Biosciences Frontiers Media S.A. 2022-12-02 /pmc/articles/PMC9755881/ /pubmed/36533069 http://dx.doi.org/10.3389/fmolb.2022.1098289 Text en Copyright © 2022 Cadet, Saavedra, Syren and Gontero. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| spellingShingle | Molecular Biosciences Cadet, Frederic Saavedra, Emma Syren, Per-Olof Gontero, Brigitte Editorial: Machine learning, epistasis, and protein engineering: From sequence-structure-function relationships to regulation of metabolic pathways |
| 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 | Molecular Biosciences |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755881/ https://www.ncbi.nlm.nih.gov/pubmed/36533069 http://dx.doi.org/10.3389/fmolb.2022.1098289 |
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