Jaie C. Woodard

This study uses deep mutational scanning to analyze how PAI-1 variants affect its latency transition and uPA inhibition, showing that thermodynamic stability and evolution shape its function.

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.

This study uses computational modeling to show that polyglutamine expansion in the androgen receptor's N-terminal domain causes dynamic misfolding, altering interdomain interactions and potentially leading to SBMA pathology.