Bjørn P. Y. Kwee

The paper develops a validated TCR-pMHC database (TCRvdb) by assessing VDJdb entries with a high-throughput platform, finding only 50% of claims are functionally confirmed.

PAIR-Scan identifies potent TCR-neoantigen pairs from tumor samples through library-on-library screening, enabling efficient analysis of T cell reactivity.

AlphaBridge evaluates predicted biomolecular complexes using AlphaFold3 confidence metrics, clustering sequence motifs, and visualizing interfaces with 2D diagrams and interactive tools.

STAPLER is a transformer model that predicts TCR-pMHC specificity by learning from TCR and peptide sequences, outperforming existing methods in antigen recognition prediction.