Teaching

Improving AI-based Synthesizability Scores for Next-Generation Protein Degradation Drugs

MSc Thesis, Chalmers University of Technology & University of Gothenburg, 2026

Tingting Mo and Jia Xin Zhu — a systematic framework for PROTAC synthesizability assessment, combining PROTAC-Splitter decomposition with AiZynthFinder-based retrosynthesis scoring.

Reinforcement Learning with Language Models for Multi-Objective PROTAC Optimization

MSc Thesis, Chalmers University of Technology & University of Gothenburg, 2026

Alexander Persson and Felix Erngård — generative design of complete PROTACs using language models with reinforcement learning, optimised against several objectives at once.

Paper

Machine Learning for PROTAC Decomposition and Enhanced Degradation Prediction

MSc Thesis, Chalmers University of Technology, 2025

Ranxuan Zhang — learning to split a PROTAC into its E3 ligand, linker and warhead, and using that decomposition to improve degradation activity prediction.

Paper

Stefano Ribes 🚀

Teaching

Improving AI-based Synthesizability Scores for Next-Generation Protein Degradation Drugs

Reinforcement Learning with Language Models for Multi-Objective PROTAC Optimization

Machine Learning for PROTAC Decomposition and Enhanced Degradation Prediction