Chapter 15. NMR Databases and Tools for Automatic Interpretation of Spectra of Carbohydrates

  1. Claus-Wilhelm von der Lieth1,
  2. Thomas Lütteke2 and
  3. Martin Frank1
  1. Claus-Wilhelm von der Lieth

Published Online: 13 NOV 2009

DOI: 10.1002/9780470029619.ch15

Bioinformatics for Glycobiology and Glycomics: An Introduction

Bioinformatics for Glycobiology and Glycomics: An Introduction

How to Cite

von der Lieth, C.-W. (2009) NMR Databases and Tools for Automatic Interpretation of Spectra of Carbohydrates, in Bioinformatics for Glycobiology and Glycomics: An Introduction (eds C.-W. von der Lieth, T. Lütteke and M. Frank), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470029619.ch15

Editor Information

  1. 1

    Molecular Structure Analysis Core Facility, Deutsches Krebsforschungszentrum (German Cancer Research Center), Heidelberg, Germany

  2. 2

    Faculty of Veterinary Medicine, Institute of Biochemistry and Endocrinology, Justus-Liebig University Gießen, Gießen, Germany

Author Information

  1. Molecular Structure Analysis Core Facility, Deutsches Krebsforschungszentrum (German Cancer Research Center), Heidelberg, Germany

Publication History

  1. Published Online: 13 NOV 2009
  2. Published Print: 11 DEC 2009

ISBN Information

Print ISBN: 9780470016671

Online ISBN: 9780470029619

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Keywords:

  • HOSE (Hierarchical Organization of Spherical Environments);
  • GlycoWorkbench;
  • Complex Carbohydrate Structure Database (CCSD);
  • Chemical Shift Estimation;
  • NMR shift estimation

Summary

This chapter contains sections titled:

  • Introduction

  • Advantages and Disadvantages of NMR Approaches

  • NMR is Often Used to Determine Bacterial Polysaccharides

  • NMR and Informatics Approaches

  • SugaBase

  • Spectral Search

  • Chemical Shift Estimation

  • Use of Spectral Matching and Shift Estimation in Automatic Procedures

  • References