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Active and machine learning-based approaches to rapidly enhance microbial chemical production.

Metabolic engineering - 1 Sept 2021

Kumar Prashant, Adamczyk Paul A, Zhang Xiaolin, Andrade Ramon Bonela, Romero Philip A, Ramanathan Parameswaran, Reed Jennifer L

Abstract excerpt

In order to make renewable fuels and chemicals from microbes, new methods are required to engineer microbes more intelligently. Computational approaches, to engineer strains for enhanced chemical production typically rely on detailed mechanistic models (e.g., kinetic/stoichiometric models of metabolism)-requiring many experimental datasets for their parameterization-while experimental methods may require...

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PMID: 34229079
DOI: 10.1016/j.ymben.2021.06.009

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