Predicting TCR-epitope recognition: How good are we?
1Department of Oncology, Ludwig Institute for Cancer Research Lausanne, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland; Swiss Cancer Center Leman (SCCL).
Cell Genomics
|August 14, 2025
Abstract:
Accurate TCR-epitope interaction predictions have the potential to unlock the use of TCR repertoires for diagnostics, TCR discovery, and cross-reactivity predictions. In this issue of Cell Genomics, Drost et al.1 developed a streamlined framework for benchmarking such predictions. Careful understanding of the strengths and limitations of existing approaches will be instrumental to improve them and expand the scope of TCR-epitope recognition predictions.


