In this PLoS Comp Bio paper, we study how metabolic constraints and optimisation objectives influence optimal states of metabolism and how those optimal states can be expressed in terms of metabolic routes. Optimal states are often represented by optimal-solution spaces, which are mathematical objects that cannot be readily interpreted. We express such solution spaces in terms of metabolic pathways that are intuitive and understandable by biochemists and biotechnologist studying metabolism. This paper is related to one of our previous papers, which can be found here.

Curious which papers the lab produced? Try this pubmed query. You will find our new work on:

• Integrative Omics analysis of L lactis at different growth rates in the chemostat
• Microbial community modelling
• Solution spaces of genome-scale models
• Optimality principles of nutrient-uptake and growth rate
• Single-cell measurement of single RNA molecules