Drew Bryant

The paper maps the genome packaging landscape of AAV2 capsid protein using high-throughput synthesis and machine learning, revealing navigable subspaces of functionally viable sequences.

This paper develops a retinal aging clock from fundus images to predict chronological age and identifies genetic variants associated with accelerated aging.

This paper uses deep learning to improve protein function annotation by training on Pfam data, achieving better accuracy and efficiency than BLASTp.

The paper critiques protein family classification models by identifying sufficient input subsets to understand their decision-making criteria.