Rebecca Meelker González

The paper develops a chemical proteomics workflow to profile protein citrullination dynamics, achieving high sensitivity and throughput in detecting citrullinated peptides across biological systems.

The paper maps isozyme-specific substrate recognition of PAD1-4 by identifying citrullination sites across the proteome, revealing distinct sequence preferences and key residues determining substrate specificity.

The paper introduces a deep learning model to improve citrullination site identification in proteomes, achieving high precision and sensitivity in human and plant tissues.