Nicola Dietler

The paper shows that fluctuating selection pressures improve coevolution-based inference of protein structure and function from sequence data.

The paper evaluates how phylogeny affects the identification of functional sectors in protein sequences and shows that two methods, conservation and ICOD, are robust to phylogeny and provide complementary insights.

The paper investigates how phylogenetic correlations affect structural contact inference from protein sequences and shows global methods like Potts models are more resilient to these effects.

The paper shows that structural and phylogenetic correlations combine to improve protein partner inference from sequences, with non-contact site pairs contributing significantly.

The paper introduces YeaZ, a CNN for accurate yeast cell segmentation without fluorescent markers, outperforming existing methods and revealing new biology in cell morphology.