Joseph P. Gallagher

The paper investigates cell cycle regulation in plants during stress recovery, finding a conserved 'pause and play' mechanism involving CDKA;1 and ICK1 in Arabidopsis, Brachypodium, and Lolium.

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.

The paper investigates the evolutionary mechanisms of grass awns, finding that developmental conservation and deep homology drive their repeated evolution and morphological diversity.

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.