| Literature DB >> 19123195 |
J Ignacio Santos1, Adriana Carvalho de Souza, F Javier Cañada, Sonsoles Martín-Santamaría, Johannis P Kamerling, Jesús Jiménez-Barbero.
Abstract
WEAK RECOGNITION PROCESSES: Weak calcium-mediated carbohydrate-carbohydrate interactions have been detected by DOSY and TRNOESY NMR methods by employing a gold glyconanoparticle as a multivalent system. In addition, 3D models of trisaccharide-Ca(II)-trisaccharide complexes based on results from molecular dynamics simulations are proposed. Diffusion-ordered NMR spectroscopy (DOSY-NMR) and TR-NOESY-NMR experiments are used to detect ligand binding to macromolecular receptors. These techniques have been applied to detect weak carbohydrate-carbohydrate self-recognition in solution, making use of sugar-decorated gold nanoparticles as the "macromolecule" and the same carbohydrate as the ligand. Changes in the diffusion coefficient of the free carbohydrate in the presence of the glyconanoparticle (only with Ca(II) ions in the sample solution), as well as changes in the sign of the sugar NOE peaks--positive for the free sugar (in the presence or absence of Ca(II)) and negative for the sugar only in the simultaneous presence of the glyconanoparticle and Ca(II) ions--have been taken as proof of weak Ca(II)-mediated carbohydrate-carbohydrate interactions in solution. Although different methods such as SPR, TEM, and AFM have been used in the past to detect carbohydrate-carbohydrate interactions with the aid of gold nanoparticles and gold selfassembled monolayers, they are restricted to high-affinity ranges. The methods used in this study allow expansion of the number of techniques to tackle this relevant biological problem, also for approaching ligand-receptor interactions below the high-affinity range. Additionally, 3D models of trisaccharide-Ca(II)-trisaccharide complexes based on results from molecular dynamics simulations are proposed.Entities:
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Year: 2009 PMID: 19123195 DOI: 10.1002/cbic.200800548
Source DB: PubMed Journal: Chembiochem ISSN: 1439-4227 Impact factor: 3.164