Reinhard Wimmer

The paper identifies WARPs, cyclic non-ribosomal peptides, as structural determinants of fungal hydrophobicity, showing their role in maintaining surface hydrophobicity and aerial hyphae integrity.

Pfly predicts peptide detectability in mass spectrometry using a deep learning model trained on synthetic and biological data, offering customizable classification for different experimental conditions.

The paper uses deep learning to analyze how neighboring amino acid pairs affect MS1 intensity, identifying key motifs and their impact on peptide response.

The paper develops a deep learning model to predict peptide MS1 intensities using sequence data and identifies key physicochemical properties influencing the response.