AI RESEARCH
Structure-Aware Prediction of PROTAC-Mediated Protein Degradability via Graph Neural Networks
arXiv CS.LG
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ArXi:2606.04021v1 Announce Type: cross Proteolysis-targeting chimeras (PROTACs) can selectively degrade disease-causing proteins, yet predicting which targets are amenable to degradation remains a critical bottleneck: existing computational methods require the complete PROTAC molecular structure, information unavailable before synthesis. We present DegradoMap, a graph neural network that predicts PROTAC-mediated degradability from protein structure and E3 ligase identity alone -- the minimal information available at the target selection stage.