A toolkit developed to predict and analyze PROTAC-mediated ternary complexes using AlphaFold3 and Boltz-1.

PROTAC-Splitter is a machine learning framework designed for automated annotation of PROTAC substructures.

Predicting PROTAC protein degradation activity via machine learning.

End-to-end computational framework for designing cancer identity reversion therapies: scRNA-seq → Waddington attractor mapping → epigenetic switch set prediction → TCIP bifunctional molecule design