Engineering of increased L-Threonine production in bacteria by combinatorial cloning and machine learning

Engineering of increased L-Threonine production in bacteria by combinatorial cloning and machine learning

The goal of this study is to develop a general strategy for bacterial engineering using an integrated synthetic biology and machine learning (ML) approach. This strategy was developed in the context of increasing L-threonine production in Escherichia coli ATCC 21277. A set of 16 genes was initially...

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Bibliographic Details
Main Authors: Paul Hanke, Bruce Parrello, Olga Vasieva, Chase Akins, Philippe Chlenski, Gyorgy Babnigg, Chris Henry, Fatima Foflonker, Thomas Brettin, Dionysios Antonopoulos, Rick Stevens, Michael Fonstein
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Metabolic Engineering Communications
Subjects:
Strain engineering
Threonine
ML
Hybrid-machine learning
E. coli
AI-Driven
Online Access:http://www.sciencedirect.com/science/article/pii/S2214030123000081

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