Literature DB >> 23784792

Characterizing carbohydrate-protein interactions by nuclear magnetic resonance spectroscopy.

Carole A Bewley1, Syed Shahzad-ul-Hussan.   

Abstract

Interactions between proteins and soluble carbohydrates and/or surface displayed glycans are central to countless recognition, attachment and signaling events in biology. The physical chemical features associated with these binding events vary considerably, depending on the biological system of interest. For example, carbohydrate-protein interactions can be stoichiometric or multivalent, the protein receptors can be monomeric or oligomeric, and the specificity of recognition can be highly stringent or rather promiscuous. Equilibrium dissociation constants for carbohydrate binding are known to vary from micromolar to millimolar, with weak interactions being far more prevalent; and individual carbohydrate-binding sites can be truly symmetrical or merely homologous, and hence, the affinities of individual sites within a single protein can vary, as can the order of binding. Several factors, including the weak affinities with which glycans bind their protein receptors, the dynamic nature of the glycans themselves, and the nonequivalent interactions among oligomeric carbohydrate receptors, have made nuclear magnetic resonance (NMR) an especially powerful tool for studying and defining carbohydrate-protein interactions. Here, we describe those NMR approaches that have proven to be the most robust in characterizing these systems, and explain what type of information can (or cannot) be obtained from each. Our goal is to provide the reader the information necessary for selecting the correct experiment or sets of experiments to characterize their carbohydrate-protein interaction of interest.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  complex-type glycan; glycan binding; multivalent; oligomannose

Mesh:

Substances:

Year:  2013        PMID: 23784792      PMCID: PMC3820370          DOI: 10.1002/bip.22329

Source DB:  PubMed          Journal:  Biopolymers        ISSN: 0006-3525            Impact factor:   2.505


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