Fig. 5: Proposed pipeline for the combined use of machine learning, automation, in vivo mutagenesis, and growth-coupled selection for the directed evolution of enzymes using a biofoundry. | Nature Communications

Fig. 5: Proposed pipeline for the combined use of machine learning, automation, in vivo mutagenesis, and growth-coupled selection for the directed evolution of enzymes using a biofoundry.

From: Automated in vivo enzyme engineering accelerates biocatalyst optimization

Fig. 5

Sequential numbers indicate the steps to be taken following the Design-Build-Test-Learn paradigm. ML machine learning, RBS ribosome binding site, GOI gene of interest. For the definition of the hypermutators MAGE, MutaT7, OrthoRep, and EvolvR we refer the reader to the main text. Created with BioRender.com.

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