Ulrich Gerland

The paper develops a quantitative framework to model bacterial competition during starvation, showing that physiological traits influence competitive outcomes through necromass recycling.

The paper develops a reduced motif space model to capture the dynamics of RNA pools, showing it can capture important aspects of sequence space dynamics.

This paper analyzes the Virtual Circular Genome (VCG) model for prebiotic replication, showing that increasing long oligomer length and reducing their concentration improves replication fidelity.

This study investigates how enhanced diffusion in enzyme-loaded vesicles creates pressure gradients leading to deformation and self-propulsion in substrate gradients.

This study shows that gradual entry into carbon starvation reduces Escherichia coli death rates by allowing proteome adaptation, with a theoretical model supporting active gene up-regulation for survival.

The paper explores theoretical frameworks for programmable pattern formation in cellular systems using local signaling and logical rules, identifying conditions under which target patterns can be reliably formed.

The paper infers effective nucleosome dynamics at the yeast PHO5 promoter using a new class of models and integrates single-molecule data with histone turnover and chromatin accessibility data.

The paper shows that nucleosome positioning patterns are robust across species and conditions due to statistical positioning emerging from complex mechanisms, with species-specific renormalization of nucleosome softness.