Garrett M. Morris

This paper introduces Decode-gLM, a toolkit using sparse autoencoders to interpret, audit, and steer genomic language models, revealing biological features and identifying data contamination.

This paper integrates clinical data and scientific literature to identify HBV mutations associated with drug resistance and highlights a common mutational position in the entecavir binding pocket.

The paper introduces Protein-Ligand Interaction Graphs (PLIGs) to improve binding affinity prediction by encoding 3D protein-ligand interactions into GNN node features, achieving high performance on the CASF-2016 benchmark.

The paper models SARS-CoV-2 Mpro substrate and ligand binding to identify new inhibitor opportunities through computational analysis of binding interactions.