Andreas Kremling

The paper develops a mechanistic ODE-based model of E. coli translation to predict how ribosome allocation changes with growth conditions.

This study investigates the metabolic burden in Pseudomonas putida during heterologous protein production, finding that transcript length, not protein size, is the main bottleneck.

The paper constructs and analyzes a modular T7 RNA polymerase-based gene expression system in Pseudomonas putida to improve heterologous protein production.

The paper compares natural and artificial carbon fixation pathways using computational methods to evaluate their ATP-efficiency and specific activity.

The paper introduces an ensemble modeling framework to discover design principles in biochemical networks by analyzing successful models and identifying shared features that guide network construction.