23 citations · 32 across the 4 of their papers we have counts for
4 papers
Knowledge-based energy functions for computational studies of proteins
Xiang Li, Jie Liang
This chapter discusses theoretical framework and methods for developing knowledge-based potential functions essential for protein structure prediction, protein-protein interaction,…
Developing optimal nonlinear scoring function for protein design
Changyu Hu, Xiang Li, Jie Liang
Motivation. Protein design aims to identify sequences compatible with a given protein fold but incompatible to any alternative folds. To select the correct sequences and to guide t…
Simplicial edge representation of protein structures and alpha contact potential with confidence measure
Xiang Li, Changyu Hu, Jie Liang
Protein representation and potential function are essential ingredients for studying proteins folding and protein prediction. We introduce a novel geometric representation of conta…
On Design of Optimal Nonlinear Kernel Potential Function for Protein Folding and Protein Design
Changyu Hu, Xiang Li, Jie Liang
Potential functions are critical for computational studies of protein structure prediction, folding, and sequence design. A class of widely used potentials for coarse grained model…