Machine Learning for PROTAC Decomposition and Enhanced Degradation Prediction

Ranxuan Zhang — Chalmers University of Technology, defended June 2025. Co-supervised with Eva Nittinger and Christian Tyrchan (AstraZeneca R&D Gothenburg); examiner Rocío Mercado.

Learning to split a PROTAC into its E3 ligand, linker and warhead, and using that decomposition to improve degradation activity prediction. The work fed directly into PROTAC-Splitter, published in the Journal of Cheminformatics, on which Ranxuan is a co-author.

See Supervision for the full list of MSc theses I’ve supervised.

Link to paper.