Ryan Zhao

Oct 29, 2024 | biorxiv.org | Chiho Im |Ryan Zhao |Scott D. Boyd |Anshul Kundaje

AbstractUnderstanding T-Cell receptor (TCR) and epitope interactions is critical for advancing ourknowledge of the human immune system. Traditional approaches that use sequence similarity or structure data often struggle to scale and generalize across diverse TCR/epitope interactions. To address these limitations, we introduce ImmuneCLIP, a contrastive fine-tuning method that leverages pre-trained protein language models to align TCR and epitope embeddings in a shared latent space.