Concerns over climate change have necessitated a rethinking of our transportation
infrastructure. One possible alternative to carbon-polluting fossil fuels is biofuels produced …

Harnessing the process of natural selection to obtain and understand new microbial
phenotypes has become increasingly possible due to advances in culturing techniques …

Adaptive laboratory evolution (ALE) has served as a historic microbial engineering method
that mimics natural selection to obtain desired microbes. The past decade has witnessed …

Over the last two decades, thousands of genome-scale metabolic network models (GSMMs)
have been constructed. These GSMMs have been widely applied in various fields, ranging …

Metabolic engineering (ME) aims to develop efficient microbial cell factories that can
produce a wide variety of valuable compounds, ideally at the highest yield and from various …

With omics data being generated at an unprecedented rate, genome-scale modelling has
become pivotal in its organisation and analysis. However, machine learning methods have …

Various constraint-based optimization approaches have been developed for the
computational analysis and design of metabolic networks. Herein, we present StrainDesign …

Yeasts directly impact the efficiency of brewery fermentations as well as the character of the
beers produced. In recent years, there has been renewed interest in yeast selection and …

The parameterization of kinetic models requires measurement of fluxes and/or metabolite
levels for a base strain and a few genetic perturbations thereof. Unlike stoichiometric models …

Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the
interrelations between genotype, phenotype, and external environment. The recent …