Julie C. Mitchell

The paper fine-tunes AlphaFold using high-resolution MHC-peptide crystal structures to improve prediction accuracy for MHC-peptide complex structures, outperforming existing methods in RMSD and lDDT scores.

This study enhances AlphaFold for predicting phosphopeptide-protein complex structures, achieving higher accuracy in lDDT scores for peptides.

This study characterizes how SARS-CoV-2 3CLpro cleaves NEMO, revealing structural and functional insights that explain its high fitness in humans.

This study introduces KFC-E, a scoring function that uses conservation and coevolution of hotspot residues to identify native protein complexes, achieving better performance than alternative methods.

The paper combines KFC2a features with Rosetta scoring terms to improve prediction of protein interface hotspots using machine learning.