Yifei Qi

Pro4S predicts protein solubility by integrating sequence, structure, and surface data, improving accuracy and reducing non-expressed proteins in de novo design.

SSPSPredictor predicts phase-separating proteins using sequence and structure data, showing higher LLPS propensity in intrinsically disordered proteins and pathogenic variants.

PLANET is a graph neural network model for protein-ligand binding affinity prediction that outperforms existing methods in virtual screening while being computationally efficient.