Jonathan Parkinson

The paper benchmarks text-integrated protein language models and introduces embedding fusion to improve performance across diverse tasks.

RESP2 is an AI pipeline for antibody discovery that optimizes multiple properties and targets, achieving high success rates in binding affinity and specificity.

TUnA is a Transformer model that predicts protein-protein interactions from sequence data and provides uncertainty estimates for unseen sequences, improving reliability.

This paper introduces a simple generative model, SAM, for antibody sequence modeling that outperforms complex models and provides fast, interpretable tools for antibody sequence analysis.