Bian Wu

Pythia-PPI improves prediction of protein-protein binding affinity changes by using multi-task learning and self-distillation, achieving higher accuracy than existing methods.

This paper introduces Pythia, a self-supervised graph neural network for fast and accurate prediction of mutation-induced stability changes across protein structures, showing superior performance and speed.

This paper describes a new NAD+ de novo biosynthesis pathway in E. coli that starts from chorismate and demonstrates its utility in cofactor engineering for chemical production.

This paper computationally redesigns PETase to improve its stability and PET degradation efficiency using the GRAPE strategy.