Health AI Central
Peer-Reviewed Publication
bioRxiv2026April 11, 2026Journal Article

A structure-informed deep learning framework for modeling TCR-peptide-HLA interactions.

Kai Cao1, Rui Li1,2, Martin Stražar1, Eric M Brown1, Phuong N U Nguyen1, Marie-Madlen Pust1,2, Jihye Park1, Daniel B Graham1,2, Orr Ashenberg1,3, Caroline Uhler1,4, Ramnik J Xavier1,2,3,5
1Broad Institute of MIT and Harvard, Cambridge, MA, United States.
2Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
3Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, United States.
4Massachusetts Institute of Technology, Cambridge, MA, United States.
5Center for the Study of Inflammatory Bowel Disease, Massachusetts General Hospital, Boston, MA, United States.
PubMed PMC DOI PDF

Abstract

The interaction between T cell receptors (TCRs), peptides, and human leukocyte antigens (HLAs) underlies antigen-specific T cell immunity. Despite substantial advances in peptide-HLA presentation prediction, accurate modeling of coupled TCR-peptide-HLA recognition remains underdeveloped, limiting applications such as TCR and neoepitope prioritization in cancer and antigen identification in autoimm…

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