Interpretable PROTAC degradation prediction with structure-informed deep ternary attention framework
Zhenglu Chen, Chunbin Gu, Shuoyan Tan, Xiaorui Wang, Yuquan Li, Mutian He, Ruiqiang Lu, Shijia Sun, Chang‐Yu Hsieh, Xiaojun Yao, Huanxiang Liu, Pheng‐Ann Heng
This paper introduces PROTAC-STAN, a deep learning framework for interpretable PROTAC degradation prediction, achieving improved accuracy and model interpretability.
Advanced Science · Sep 30, 2025Peer-reviewedBioinformatics