Martin Beyß

This study quantifies how specific membrane surface area (sMSA) constrains Escherichia coli growth rates and energy metabolism across aerobic and anaerobic conditions.

This study measures in vivo enzyme turnover numbers in Vibrio natriegens using multi-omic data fusion, revealing enzymes are 14-fold faster than E. coli and showing machine learning underestimates these kinetics.

MooViE provides a visual analysis tool for exploring multivariate data, offering a single-view visualization to extract insights across various life science applications.

This study quantifies carbon-nitrogen and nitrogen metabolism in mycobacteria using Bayesian multi-model-based 13C15N metabolic flux analysis, identifying glutamate as a central metabolic node.