Rica Bremenkamp

The paper improves deep learning-based structure modelling of protein complexes by integrating crosslinking mass spectrometry data, enhancing performance on challenging targets.

The paper identifies FurA as an antirepressor of Fur in Bacillus subtilis, showing it prevents Fur from binding DNA under iron limitation, thus regulating iron uptake genes.

The paper uses AI to predict protein complex structures in Bacillus subtilis using crosslinking and cofractionation mass spectrometry data.

This study identifies key pathways regulating growth and virulence in Verticillium dahliae, highlighting the unfolded protein response, pheromone MAP kinase pathway, and oxylipin precursor formation as critical for pathogenesis.