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arXiv Machine Learning By Bryan Cheng, Austin Jin

Structure-Aware Prediction of PROTAC-Mediated Protein Degradability via Graph Neural Networks

Read the original on arXiv Machine Learning →

arXiv:2606. 04021v1 Announce Type: cross Abstract: 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.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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