Jörn M. Schmiedel

This study shows that the genetic architecture of some proteins is simple, allowing accurate prediction using interpretable biophysical models despite the complexity of deep neural networks.

DiMSum is a pipeline for analyzing deep mutational scanning data that provides variant fitness estimates and error modeling to identify experimental issues.

This study systematically mutates the prion-like domain of TDP-43 to determine how sequence changes affect cellular toxicity and aggregation, finding that increased aggregation reduces toxicity.

The paper introduces a genetic method to determine macromolecular structures using mutant activity measurements and epistasis analysis.

The paper quantifies the fitness effects of gene expression mean and noise in yeast, showing they have equivalent impacts and that noise minimization is promoted by epistatic ratchet mechanisms.

The paper shows microRNAs primarily control expression noise rather than repress protein levels, and this noise control is widespread across species.