Junxi Mu

This paper develops Slab-PTM, a module for coarse-grained models to simulate post-translational modifications in intrinsically disordered proteins, showing improved accuracy in phase behavior predictions.

This paper introduces DeepReweighting, a deep learning framework for optimizing molecular force fields with improved efficiency and accuracy compared to traditional methods.

The paper introduces GPDL, a protein language model approach for motif-scaffolding that outperforms existing methods in generating diverse and accurate protein structures.