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

Joan HérissonThomas DuigouMelchior du LacKenza Bazi-KabbajMahnaz Sabeti AzadGizem BuldumOlivier TelleYorgo El MoubayedPablo CarbonellNeil SwainstonValentin ZulkowerManish KushwahaGeoff S BaldwinJean-Loup Faulon
Published in: Nature communications (2022)
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.
Keyphrases
  • escherichia coli
  • machine learning
  • systematic review
  • heavy metals
  • crispr cas
  • high throughput
  • clinical practice