Active and machine learning-based approaches to rapidly enhance microbial chemical production
In order to make renewable fuels and chemical compounds from microbes, new strategies are required to engineer microbes extra intelligently. Computational approaches, to engineer strains for enhanced chemical production usually depend on detailed mechanistic fashions (e.g., kinetic/stoichiometric fashions of metabolism)-requiring many experimental datasets for his or her parameterization-while experimental strategies could require screening giant mutant …
