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The automated Galaxy-SynBioCAD pipeline for synthetic biology design and engineering

Here we introduce the Galaxy-SynBioCAD portal, a toolshed for synthetic biology, metabolic engineering, and industrial biotechnology. The tools and workflows currently shared on the portal enables one to build libraries of strains producing desired chemical targets covering an end-to-end metabolic p...

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Autores principales: Hérisson, Joan, Duigou, Thomas, du Lac, Melchior, Bazi-Kabbaj, Kenza, Sabeti Azad, Mahnaz, Buldum, Gizem, Telle, Olivier, El Moubayed, Yorgo, Carbonell, Pablo, Swainston, Neil, Zulkower, Valentin, Kushwaha, Manish, Baldwin, Geoff S., Faulon, Jean-Loup
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424320/
https://www.ncbi.nlm.nih.gov/pubmed/36038542
http://dx.doi.org/10.1038/s41467-022-32661-x
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author Hérisson, Joan
Duigou, Thomas
du Lac, Melchior
Bazi-Kabbaj, Kenza
Sabeti Azad, Mahnaz
Buldum, Gizem
Telle, Olivier
El Moubayed, Yorgo
Carbonell, Pablo
Swainston, Neil
Zulkower, Valentin
Kushwaha, Manish
Baldwin, Geoff S.
Faulon, Jean-Loup
author_facet Hérisson, Joan
Duigou, Thomas
du Lac, Melchior
Bazi-Kabbaj, Kenza
Sabeti Azad, Mahnaz
Buldum, Gizem
Telle, Olivier
El Moubayed, Yorgo
Carbonell, Pablo
Swainston, Neil
Zulkower, Valentin
Kushwaha, Manish
Baldwin, Geoff S.
Faulon, Jean-Loup
author_sort Hérisson, Joan
collection PubMed
description Here we introduce the Galaxy-SynBioCAD portal, a toolshed for synthetic biology, metabolic engineering, and industrial biotechnology. The tools and workflows currently shared on the portal enables one to build libraries of strains producing desired chemical targets covering an end-to-end metabolic pathway design and engineering process from the selection of strains and targets, the design of DNA parts to be assembled, to the generation of scripts driving liquid handlers for plasmid assembly and strain transformations. Standard formats like SBML and SBOL are used throughout to enforce the compatibility of the tools. In a study carried out at four different sites, we illustrate the link between pathway design and engineering with the building of a library of E. coli lycopene-producing strains. We also benchmark our workflows on literature and expert validated pathways. Overall, we find an 83% success rate in retrieving the validated pathways among the top 10 pathways generated by the workflows.
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spelling pubmed-94243202022-08-31 The automated Galaxy-SynBioCAD pipeline for synthetic biology design and engineering Hérisson, Joan Duigou, Thomas du Lac, Melchior Bazi-Kabbaj, Kenza Sabeti Azad, Mahnaz Buldum, Gizem Telle, Olivier El Moubayed, Yorgo Carbonell, Pablo Swainston, Neil Zulkower, Valentin Kushwaha, Manish Baldwin, Geoff S. Faulon, Jean-Loup Nat Commun Article Here we introduce the Galaxy-SynBioCAD portal, a toolshed for synthetic biology, metabolic engineering, and industrial biotechnology. The tools and workflows currently shared on the portal enables one to build libraries of strains producing desired chemical targets covering an end-to-end metabolic pathway design and engineering process from the selection of strains and targets, the design of DNA parts to be assembled, to the generation of scripts driving liquid handlers for plasmid assembly and strain transformations. Standard formats like SBML and SBOL are used throughout to enforce the compatibility of the tools. In a study carried out at four different sites, we illustrate the link between pathway design and engineering with the building of a library of E. coli lycopene-producing strains. We also benchmark our workflows on literature and expert validated pathways. Overall, we find an 83% success rate in retrieving the validated pathways among the top 10 pathways generated by the workflows. Nature Publishing Group UK 2022-08-29 /pmc/articles/PMC9424320/ /pubmed/36038542 http://dx.doi.org/10.1038/s41467-022-32661-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Hérisson, Joan
Duigou, Thomas
du Lac, Melchior
Bazi-Kabbaj, Kenza
Sabeti Azad, Mahnaz
Buldum, Gizem
Telle, Olivier
El Moubayed, Yorgo
Carbonell, Pablo
Swainston, Neil
Zulkower, Valentin
Kushwaha, Manish
Baldwin, Geoff S.
Faulon, Jean-Loup
The automated Galaxy-SynBioCAD pipeline for synthetic biology design and engineering
title The automated Galaxy-SynBioCAD pipeline for synthetic biology design and engineering
title_full The automated Galaxy-SynBioCAD pipeline for synthetic biology design and engineering
title_fullStr The automated Galaxy-SynBioCAD pipeline for synthetic biology design and engineering
title_full_unstemmed The automated Galaxy-SynBioCAD pipeline for synthetic biology design and engineering
title_short The automated Galaxy-SynBioCAD pipeline for synthetic biology design and engineering
title_sort automated galaxy-synbiocad pipeline for synthetic biology design and engineering
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424320/
https://www.ncbi.nlm.nih.gov/pubmed/36038542
http://dx.doi.org/10.1038/s41467-022-32661-x
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