Simulated Design–Build–Test–Learn Cycles for Consistent Comparison of Machine Learning Methods in Metabolic Engineering

[Image: see text] Combinatorial pathway optimization is an important tool in metabolic flux optimization. Simultaneous optimization of a large number of pathway genes often leads to combinatorial explosions. Strain optimization is therefore often performed using iterative design–build–test–learn (DB...

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Detalles Bibliográficos
Autores principales: van Lent, Paul, Schmitz, Joep, Abeel, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510747/
https://www.ncbi.nlm.nih.gov/pubmed/37616156
http://dx.doi.org/10.1021/acssynbio.3c00186

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510747/
https://www.ncbi.nlm.nih.gov/pubmed/37616156
http://dx.doi.org/10.1021/acssynbio.3c00186

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