Sven H. Giese

AHLF is a deep learning model trained on mass spectra to detect phosphorylated and cross-linked peptides with improved performance and interpretability.

The paper uses a neural network to predict retention times in crosslinking mass spectrometry, improving protein-protein interaction identification.

CovRadar provides a platform for tracking and filtering SARS-CoV-2 mutations in the spike gene, enabling users to analyze and visualize mutational changes and spatio-temporal distributions.

The paper identifies non-covalently-associated peptides in mass spectrometry that can mislead crosslink analysis and proposes methods to distinguish them from true crosslinks.

The paper introduces Xi-MPA, a method for in-search assignment of monoisotopic peaks in cross-linking mass spectrometry, which improves peptide identification without compromising accuracy.