Sebastian Swanson

This paper introduces PeptideCLM-2, a chemical language model for therapeutic peptides, showing strong performance in predicting drug development endpoints.

This paper introduces a deep-learning model, PALM, that predicts peptide aggregation using protein language model embeddings, showing improved performance with larger datasets.

This paper introduces FragFold, a computational method using AlphaFold to predict inhibitory protein fragments, showing high accuracy in predicting binding and inhibitory activity.