A Machine Learning Approach for Efficient Selection of Enzyme Concentrations and Its Application for Flux Optimization

A Machine Learning Approach for Efficient Selection of Enzyme Concentrations and Its Application for Flux Optimization

The metabolic engineering of pathways has been used extensively to produce molecules of interest on an industrial scale. Methods like gene regulation or substrate channeling helped to improve the desired product yield. Cell-free systems are used to overcome the weaknesses of engineered strains. One...

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Bibliographic Details
Main Authors: Anamya Ajjolli Nagaraja, Philippe Charton, Xavier F. Cadet, Nicolas Fontaine, Mathieu Delsaut, Birgit Wiltschi, Alena Voit, Bernard Offmann, Cedric Damour, Brigitte Grondin-Perez, Frederic Cadet
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Catalysts
Subjects:
machine learning
flux optimization
artificial neural network
synthetic biology
glycolysis
metabolic pathways optimization
cell-free systems
Online Access:https://www.mdpi.com/2073-4344/10/3/291

Internet

https://www.mdpi.com/2073-4344/10/3/291

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