Jie Liu

DesignMaster improves PROTAC design by incorporating linker length and physicochemical constraints through a diffusion framework, achieving better validity and recovery than existing methods.

MolX is a geometric foundation model that jointly learns representations of protein pockets and ligands from 3D structural data, achieving state-of-the-art performance in predicting molecular interactions.

DegradeMaster predicts PROTAC-targeted protein degradation using a semi-supervised E(3)-equivariant graph neural network, achieving improved accuracy over existing methods.