Owen K. Leddy

The paper identifies bottlenecks in MHC-I antigen presentation by Mtb, showing that only a small fraction of predicted binders are actually presented, and develops computational models to improve prediction.

This paper introduces a yeast surface display pipeline to screen for class I peptide MHC binders across multiple alleles and applies it to pathogen proteomes to identify potential T cell antigens.

The paper shows that Mycobacterium tuberculosis uses its ESX-1 secretion system to present antigens on MHC-I, bypassing host pathways like autophagy.

This study uses a multi-omics approach to analyze early TMZ responses in GBM cells, identifying TMZ-associated peptide antigens and immune-related changes.

This study identifies MHC-II antigens from Mycobacterium tuberculosis using mass spectrometry and evaluates mRNA vaccine immunogens to enhance T cell recognition.

PathMHC improves identification of pathogen-derived MHC peptides for vaccine targets by combining computational analysis with targeted mass spectrometry.

This study identifies Mtb outer membrane proteins using protease shaving and mass spectrometry, revealing novel vaccine targets and methods to deliver cargoes to the Mtb surface.