Peer-reviewed papers and preprints. Every entry links to the paper, the code and — where they exist — the dataset and an interactive demo, so the results can be reproduced or reused without emailing me first. A full list is also on Google Scholar, and my ORCID record is here.
TACK aggregates 3,514 PROTACs and 6,561 degradation endpoints into the largest public PROTAC activity dataset, and uses it to run a rigorous statistical comparison of degradation-activity models.
An open-source machine learning framework that automatically decomposes a PROTAC into its three functional parts — E3 ligand, linker and POI warhead — together with a synthetic dataset of ~1.3M annotated PROTAC structures.
An open-source, reproducible deep learning model for predicting PROTAC-induced degradation activity, together with a curated dataset built from PROTAC-DB and PROTAC-Pedia.
A framework that co-optimises multiple LSTM models for FPGA deployment via SVD-based approximation and structured pruning, reaching 3× to 5× speedups at equal accuracy loss.