Zhuqing Zhang

AFP-R provides a database and predictor for antifreeze proteins, offering curated data and a machine-learning model for AFP identification.

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

This study identifies Palmdelphin as a marker of colorectal cancer stem cells that promotes tumorigenesis by facilitating R-spondin2 secretion and Wnt signaling activation.

The paper develops a machine learning tool, PSPredictor, to predict phase separation proteins using sequence information, achieving high accuracy and outperforming existing methods.