Eric Marcus

A functionally validated TCR-pMHC database for TCR specificity model development

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.

Single-cell spatial atlas of high-grade serous ovarian cancer unveils MHC class II as a key driver of spatial tumor ecosystems and clinical outcomes

Cyclic immunofluorescence of 265 high-grade serous ovarian carcinomas and random-forest feature ranking identify cancer-cell MHC-II as an adjusted predictor of longer survival marking immune-activated tumor-stroma hotspots.

Integrating computational protein structure predictions and genetic dependencies yields an atlas of human multi-protein complexes (AHMPC)

The paper constructs an atlas of human multi-protein complexes by integrating computational structure predictions with genetic dependency data, identifying 354 high-confidence complexes including novel ones.

STAPLER: Efficient learning of TCR-peptide specificity prediction from full-length TCR-peptide data

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