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Dataset Information

PepSim: T-cell cross-reactivity prediction via comparison of peptide sequence and peptide-HLA structure.


ABSTRACT:

Introduction

Peptide-HLA class I (pHLA) complexes on the surface of tumor cells can be targeted by cytotoxic T-cells to eliminate tumors, and this is one of the bases for T-cell-based immunotherapies. However, there exist cases where therapeutic T-cells directed towards tumor pHLA complexes may also recognize pHLAs from healthy normal cells. The process where the same T-cell clone recognizes more than one pHLA is referred to as T-cell cross-reactivity and this process is driven mainly by features that make pHLAs similar to each other. T-cell cross-reactivity prediction is critical for designing T-cell-based cancer immunotherapies that are both effective and safe.

Methods

Here we present PepSim, a novel score to predict T-cell cross-reactivity based on the structural and bioc

SUBMITTER: Hall-Swan S 

PROVIDER: S-EPMC10175663 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature