Shourya S. Roy Burman

The paper identifies 298 protein targets of CRBN-binding molecular glues using a high-throughput affinity purification mass spectrometry workflow and demonstrates a lead compound for the new target PPIL4.

The paper shows that structural ubiquitin contributes to K48 linkage-specificity in Tom1 through a non-canonical binding site identified via cryo-EM.

The paper develops a machine learning model to predict protein degradability for targeted protein degradation, identifying key features and extending predictions to the proteome.

The paper presents a framework for ensuring reproducibility in bio-macromolecular modeling through automated benchmarks and a test server, demonstrating its utility for Rosetta and other tools.