Model-guided strain engineering: bridges between design and learning in bioprocess development

Abstract

Contents 1 General Introduction 2 Model-guided metabolic engineering of curcuminoid production in Pseudomonas putida 3 CFSA: Comparative Flux Sampling Analysis as a Guide for Strain Design 4 Shikimate pathway-dependent catabolism enables high-yield production of aromatics 5 Enzyme-constrained models predict the dynamics of Saccharomyces cerevisiae growth in continuous, batch, and fed-batch bioreactors 6 Responses of Pseudomonas putida to glucose and oxygen limitations 7 In silico analysis of Design of Experiment methods for metabolic pathway optimization 8 Combinatorial optimization of pathway, process, and media for the production of pcoumaric acid by Saccharomyces cerevisiae 9 Machine learning-guided optimization of p-coumaric acid production in yeast