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Related Concept Videos

Applications Of NMR In Biology01:25

Applications Of NMR In Biology

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Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics  for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.
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Related Experiment Video

Updated: Apr 16, 2026

Author Spotlight: Unveiling the Structural and Dynamic Aspects of Glycan Molecular Recognition
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Author Spotlight: Unveiling the Structural and Dynamic Aspects of Glycan Molecular Recognition

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Using NMR data on GLYCOSCIENCES.de.

Alexander Loss1, Thomas Lütteke

  • 1Gebrüder Gerstenberg GmbH & Co. KG, Rathausstraße 18-20, 31134, Hildesheim, Germany, alexander.loss@gerstenberg.com.

Methods in Molecular Biology (Clifton, N.J.)
|March 11, 2015
PubMed
Summary
This summary is machine-generated.

The GLYCOSCIENCES.de database offers over 3,000 NMR spectra for carbohydrate structural analysis. Users can search this valuable resource by atom, residue, and chemical shift, aiding in structural characterization.

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Area of Science:

  • Carbohydrate Chemistry
  • Structural Biology
  • Biophysical Chemistry

Background:

  • Nuclear Magnetic Resonance (NMR) spectroscopy is a cornerstone for determining the three-dimensional structures of carbohydrates.
  • The GLYCOSCIENCES.de database houses a substantial collection of over 3,000 NMR spectra, specifically chemical shift data for carbohydrates.
  • Efficient access to and utilization of this spectral data are crucial for advancing carbohydrate research.

Purpose of the Study:

  • To detail the functionalities and interfaces of the GLYCOSCIENCES.de database for accessing carbohydrate NMR spectral data.
  • To provide guidance on utilizing the database's search features for structural characterization of carbohydrates.
  • To introduce a novel shift estimation tool for predicting NMR shifts of glycans lacking experimental data.

Main Methods:

  • The chapter describes the practical application of the GLYCOSCIENCES.de database interfaces.
  • Utilizes an 'atom search' function to query spectra based on specific carbohydrate residues, atom assignments, and chemical shift ranges.
  • Employs a 'peak search' function to identify spectra with chemical shifts similar to a provided list.
  • Introduces a 'shift estimation' feature for predictive analysis of NMR shifts.

Main Results:

  • Demonstrates the utility of the GLYCOSCIENCES.de database for retrieving and analyzing carbohydrate NMR spectra.
  • Highlights the effectiveness of atom and peak search functionalities for targeted data retrieval.
  • Showcases the shift estimation feature as a tool for predicting NMR data for novel or uncharacterized glycans.

Conclusions:

  • The GLYCOSCIENCES.de database provides a powerful and searchable resource for carbohydrate NMR spectral data.
  • The described interfaces and features enhance the accessibility and utility of NMR data for structural elucidation of carbohydrates.
  • The shift estimation tool offers a valuable method for predicting NMR properties, expanding the scope of glycan analysis.