Sebastian Pechmann

Heterogeneous folding landscapes and predetermined breaking points within a protein family

This study investigates folding pathways and degradation signals in yeast small GTPases, revealing heterogeneous folding landscapes and predetermined breaking points.

Single-cell expression predicts neuron specific proteinhomeostasis networks

The paper uses single-cell expression data to analyze protein homeostasis networks in the human brain, revealing specialized networks in different cell types and their links to neuronal function.

Functional network motifs defined through integrationof protein-protein and genetic interactions

The paper defines functional network motifs by integrating genetic interaction data to identify biologically relevant feedback circuits in yeast.

Inferring translational heterogeneity from ribosome profiling data

The paper identifies sequences differentially translated across mRNAs using Ribo-seq data from yeast, linking them to translation regulation mechanisms.

Programmed trade-offs in protein folding networks

The paper identifies sequence and structural features that determine interactions between the yeast Hsp70 chaperone Ssb and its substrates, revealing programmed trade-offs in protein folding.

Improvement of the memory function of a mutual repression network in a stochastic environment by negative autoregulation

This study shows that negative autoregulation enhances memory function in a mutual repression network by reducing stochastic fluctuations and increasing steady-state stability.