ByungUk Park

This paper introduces a scalable topological data analysis framework for predicting protein-protein interaction interfaces, achieving comparable performance to a geometric deep learning method with reduced computational cost.

This paper identifies and characterizes the binding of phosphoinositides to GPx4, revealing structural and functional insights into its role in membrane protection and lipid signaling.

This paper introduces MaSIF-PMP, a geometric deep learning model for predicting protein-membrane binding sites, showing improved performance and validating predictions with molecular dynamics simulations.