Emily Hill

This paper introduces Protein2PAM, a deep learning model that predicts CRISPR-Cas PAM specificity from protein sequences, enabling the design of Cas variants with tailored PAM recognition.

This paper introduces proseLM, a protein design method that adapts language models with structural and functional context, improving residue recovery and experimental performance in genome editing and antibody design.

Language models trained on over one million mined CRISPR operons generated Cas9-like effectors and matching guide RNAs, and an AI-designed editor is reported to edit the human genome precisely.