Literature DB >> 23887200

Recent advances in computational predictions of NMR parameters for the structure elucidation of carbohydrates: methods and limitations.

Filip V Toukach1, Valentine P Ananikov.   

Abstract

All living systems are comprised of four fundamental classes of macromolecules--nucleic acids, proteins, lipids, and carbohydrates (glycans). Glycans play a unique role of joining three principal hierarchical levels of the living world: (1) the molecular level (pathogenic agents and vaccine recognition by the immune system, metabolic pathways involving saccharides that provide cells with energy, and energy accumulation via photosynthesis); (2) the nanoscale level (cell membrane mechanics, structural support of biomolecules, and the glycosylation of macromolecules); (3) the microscale and macroscale levels (polymeric materials, such as cellulose, starch, glycogen, and biomass). NMR spectroscopy is the most powerful research approach for getting insight into the solution structure and function of carbohydrates at all hierarchical levels, from monosaccharides to oligo- and polysaccharides. Recent progress in computational procedures has opened up novel opportunities to reveal the structural information available in the NMR spectra of saccharides and to advance our understanding of the corresponding biochemical processes. The ability to predict the molecular geometry and NMR parameters is crucial for the elucidation of carbohydrate structures. In the present paper, we review the major NMR spectrum simulation techniques with regard to chemical shifts, coupling constants, relaxation rates and nuclear Overhauser effect prediction applied to the three levels of glycomics. Outstanding development in the related fields of genomics and proteomics has clearly shown that it is the advancement of research tools (automated spectrum analysis, structure elucidation, synthesis, sequencing and amplification) that drives the large challenges in modern science. Combining NMR spectroscopy and the computational analysis of structural information encoded in the NMR spectra reveals a way to the automated elucidation of the structure of carbohydrates.

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Year:  2013        PMID: 23887200     DOI: 10.1039/c3cs60073d

Source DB:  PubMed          Journal:  Chem Soc Rev        ISSN: 0306-0012            Impact factor:   54.564


  12 in total

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Authors:  Xuezheng Song; Jamie Heimburg-Molinaro; David F Smith; Richard D Cummings
Journal:  Glycoconj J       Date:  2015-04-16       Impact factor: 2.916

2.  GIAO-DFT-NMR characterization of fullerene-cucurbituril complex: the effects of the C60@CB[9] host-guest mutual interactions.

Authors:  Guilherme Colherinhas; Eudes Eterno Fileti; Thaciana Malaspina
Journal:  J Mol Model       Date:  2018-06-29       Impact factor: 1.810

Review 3.  Computational NMR of Carbohydrates: Theoretical Background, Applications, and Perspectives.

Authors:  Leonid B Krivdin
Journal:  Molecules       Date:  2021-04-22       Impact factor: 4.411

4.  A quantum spin-probe molecular microscope.

Authors:  V S Perunicic; C D Hill; L T Hall; L C L Hollenberg
Journal:  Nat Commun       Date:  2016-10-11       Impact factor: 14.919

5.  Solution Conformation of Heparin Tetrasaccharide. DFT Analysis of Structure and Spin⁻Spin Coupling Constants.

Authors:  Miloš Hricovíni; Michal Hricovíni
Journal:  Molecules       Date:  2018-11-21       Impact factor: 4.411

6.  Comparison of Methods for Bulk Automated Simulation of Glycosidic Bond Conformations.

Authors:  Victor Stroylov; Maria Panova; Philip Toukach
Journal:  Int J Mol Sci       Date:  2020-10-15       Impact factor: 5.923

7.  Carbohydrate structure database merged from bacterial, archaeal, plant and fungal parts.

Authors:  Philip V Toukach; Ksenia S Egorova
Journal:  Nucleic Acids Res       Date:  2015-08-18       Impact factor: 16.971

8.  Modulation of Biofilm Exopolysaccharides by the Streptococcus mutans vicX Gene.

Authors:  Lei Lei; Yingming Yang; Mengying Mao; Hong Li; Meng Li; Yan Yang; Jiaxin Yin; Tao Hu
Journal:  Front Microbiol       Date:  2015-12-21       Impact factor: 5.640

Review 9.  Three-Dimensional Structures of Carbohydrates and Where to Find Them.

Authors:  Sofya I Scherbinina; Philip V Toukach
Journal:  Int J Mol Sci       Date:  2020-10-18       Impact factor: 5.923

Review 10.  Automatic 1D 1H NMR Metabolite Quantification for Bioreactor Monitoring.

Authors:  Roy Chih Chung Wang; David A Campbell; James R Green; Miroslava Čuperlović-Culf
Journal:  Metabolites       Date:  2021-03-09
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