Rapid prediction of thermodynamically destabilizing tyrosine phosphorylations in cancers
Jaie C. Woodard, Zhengqing Liu, Atena Malemir Chegini, Jian Tian, Rupa Bhowmick, Subramaniam Pennathur, Alireza Mashaghi, Jeffrey Brender, Sriram Chandrasekaran
The paper predicts destabilizing tyrosine phosphorylations in cancers using machine learning, finding 58% of recurrent phosphorylations are destabilizing and identifying pathway and network patterns associated with these events.
Cell Reports Methods · Sep 1, 2025Peer-reviewedSystems Biology