Karsten Schnatbaum

Learning the Unseen: Data-Augmented Deep Learning for PTM Discovery with Prosit-PTM

This paper introduces Prosit-PTM, a deep learning model for PTM discovery that improves zero-shot prediction using a synthetic dataset and chemically-informed encoding.

Aging and viral evolution impair immunity against dominant pan-coronavirus-reactive T cell epitope

The paper investigates how aging and viral mutations affect pan-coronavirus immunity, finding reduced T cell responses in older individuals and mutation-driven impact on humoral immunity.

A deep proteome and transcriptome abundance atlas of 29 healthy human tissues

The paper creates a proteome and transcriptome atlas of 29 human tissues, revealing differences in mRNA-protein abundance and challenges in proteogenomics.