A systematic analysis of protein–carbohydrate interactions in the Protein Data Bank

Abstract

Abstract Protein–carbohydrate interactions underlie essential biological processes. Elucidating the mechanism of protein–carbohydrate recognition is a prerequisite for modeling and optimizing protein–carbohydrate interactions, which will help in discovery of carbohydrate-derived therapeutics. In this work, we present a survey of a curated database consisting of 6,402 protein–carbohydrate complexes in the Protein Data Bank (PDB). We performed an all-against-all comparison of a subset of nonredundant binding sites, and the result indicates that the interaction pattern similarity is not completely relevant to the binding site structural similarity. Investigation of both binding site and ligand promiscuities reveals that the geometry of chemical feature points is more important than local backbone structure in determining protein–carbohydrate interactions. A further analysis on the frequency and geometry of atomic interactions shows that carbohydrate functional groups are not equally involved in binding interactions. Finally, we discuss the usefulness of protein–carbohydrate complexes in the PDB with acknowledgement that the carbohydrates in many structures are incomplete.