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...
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 |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-12-01
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Series: | Metabolic Engineering Communications |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2214030123000081 |
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