Literature DB >> 25066622

Factors affecting the computation of the 13C shielding in disaccharides.

Pablo G Garay1, Osvaldo A Martin, Harold A Scheraga, Jorge A Vila.   

Abstract

Knowledge of the three-dimensional structures of glycans and glycoproteins is useful for a full understanding of molecular processes in which glycans are involved, such as antigen-recognition and virus infection, to name a few. Among the ubiquitous nuclei in glycan molecules, the (13)C nucleus is an attractive candidate for computation of theoretical chemical shifts at the quantum chemical level of theory to validate and determine glycan structures. For this purpose, it is important to determine, first, which carbons can be used as probes to sense conformational changes and, second, all factors that affect the computation of the shielding, at the density functional theory (DFT) level of theory, of those carbons. To answer such questions, we performed a series of analyses on low-energy conformations, obtained by sampling the glycosidic torsional angles (ϕ, ψ) every 10°, of 12 disaccharides. Our results provide evidence that: (i) the carbons that participate in the glycosidic linkage are the most sensitive probes with which to sense conformational changes of disaccharides; (ii) the rotation of the hydroxyl groups closest to the glycosidic linkage significantly affects the computation of the shieldings of the carbons that participate in the glycosidic linkage; (iii) it is not possible to obtain the shieldings of one disaccharide from the computed values of a different disaccharide or from those disaccharides that differ in the anomeric state; and (iv) a proper basis set distribution, a functional, and a step size, with which to sample the conformational space, are necessary to compute shieldings accurately and rapidly.
Copyright © 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  glycans; glycoproteins; quantum-chemical calculation of 13C-shieldings; validation of glycan structures

Mesh:

Substances:

Year:  2014        PMID: 25066622      PMCID: PMC4383045          DOI: 10.1002/jcc.23697

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  16 in total

Review 1.  On the frequency of protein glycosylation, as deduced from analysis of the SWISS-PROT database.

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2.  The Protein Data Bank.

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3.  Sequential nearest-neighbor effects on computed 13Calpha chemical shifts.

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Journal:  J Biomol NMR       Date:  2010-07-20       Impact factor: 2.835

4.  SHIFTX2: significantly improved protein chemical shift prediction.

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Journal:  J Biomol NMR       Date:  2011-03-30       Impact factor: 2.835

5.  SWEET - WWW-based rapid 3D construction of oligo- and polysaccharides.

Authors:  A Bohne; E Lang; C W von der Lieth
Journal:  Bioinformatics       Date:  1999-09       Impact factor: 6.937

6.  Derivation of 13C chemical shift surfaces for the anomeric carbons of oligosaccharides and glycopeptides using ab initio methodology.

Authors:  C W Swalina; R J Zauhar; M J DeGrazia; G Moyna
Journal:  J Biomol NMR       Date:  2001-09       Impact factor: 2.835

7.  Performance of density functional models to reproduce observed (13)C(alpha) chemical shifts of proteins in solution.

Authors:  Jorge A Vila; Héctor A Baldoni; Harold A Scheraga
Journal:  J Comput Chem       Date:  2009-04-30       Impact factor: 3.376

8.  Relationship of chemical shift to glycosidic conformation in the solid-state 13C NMR spectra of (1-->4)-linked glucose polymers and oligomers: anomeric and related effects.

Authors:  M C Jarvis
Journal:  Carbohydr Res       Date:  1994-06-17       Impact factor: 2.104

9.  CheShift-2: graphic validation of protein structures.

Authors:  Osvaldo A Martin; Jorge A Vila; Harold A Scheraga
Journal:  Bioinformatics       Date:  2012-04-11       Impact factor: 6.937

10.  Analysis and validation of carbohydrate three-dimensional structures.

Authors:  Thomas Lütteke
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2009-01-20
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Journal:  PeerJ       Date:  2016-07-21       Impact factor: 2.984

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Journal:  Front Chem       Date:  2018-05-08       Impact factor: 5.221

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Authors:  Alejandro A Icazatti; Juan M Loyola; Igal Szleifer; Jorge A Vila; Osvaldo A Martin
Journal:  PeerJ       Date:  2019-10-21       Impact factor: 2.984

5.  NMR Relaxation Dispersion Reveals Macrocycle Breathing Dynamics in a Cyclodextrin-based Rotaxane.

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