CysLENS: Interpretable signatures of cysteine ligandability from enantiomeric chemoproteomics and protein language models
Sameek Singh, Maja Wierzbinska, Konika Konika, Adam H. Libby, Yue Dou, Christopher T. Prevost, Jie Peng, Jetze J. Tepe, Tianlong Chen, John Hackett Bushweller, Tian Zhang
CysLENS identifies cysteine ligandability by integrating chemoproteomic data with protein language models to prioritize stereoselective interactions.
bioRxiv · Aug 27, 2026 · PreprintBiochemistry