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Related Concept Videos

Applications Of NMR In Biology01:25

Applications Of NMR In Biology

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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MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...

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NMR-Based Fragment Screening in a Minimum Sample but Maximum Automation Mode
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Accelerated toxicity screening using NMR and pattern recognition-based methods.

E Holmes1, J P Shockcor

  • 1Department of Biological Chemistry, Division of Biomedical Sciences, Imperial College of Science, Technology and Medicine, Sir Alexander Fleming Building, Exhibition Road, London SW7 2AZ, UK. elaine.holmes@ic.ac.uk

Current Opinion in Drug Discovery & Development
|August 4, 2009
PubMed
Summary
This summary is machine-generated.

Proton NMR spectroscopy provides comprehensive metabolic profiles for toxicological screening. Advanced NMR and chemometric tools enable automated analysis and prediction of drug-induced toxicity.

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Area of Science:

  • Analytical Chemistry
  • Toxicology
  • Biochemistry

Background:

  • Proton Nuclear Magnetic Resonance ((1)H-NMR) spectroscopy monitors interactions of pharmacological agents with biological systems.
  • Biofluid analysis using (1)H-NMR yields metabolic profiles reflecting physiological and pathophysiological states.

Purpose of the Study:

  • To review recent advancements in (1)H-NMR spectroscopy and pattern recognition for toxicological screening.
  • To highlight the development of automated procedures for processing and interpreting complex spectral data.
  • To discuss the application of chemometric tools for efficient, on-line evaluation of xenobiotic exposure consequences.

Main Methods:

  • Utilizing high-field (1)H-NMR spectroscopy for biofluid analysis.
  • Employing advanced spectrometer technology for increased sensitivity and sample throughput.
  • Applying chemometric tools and pattern recognition for automated spectral data processing and interpretation.
  • Developing mathematically-based 'expert systems' for toxicity prediction.

Main Results:

  • Recent developments have enhanced sensitivity, dispersion, and sample throughput in (1)H-NMR spectroscopy.
  • Automated spectral processing procedures and expert systems for predicting drug-induced toxicity have been achieved.
  • Chemometric tools enable efficient on-line evaluation of toxicological consequences from xenobiotic exposure.

Conclusions:

  • Advanced (1)H-NMR spectroscopy, coupled with chemometrics, is a viable and efficient technique for toxicological screening.
  • Automation of data processing and interpretation is crucial for managing large toxicological spectral databases.
  • These integrated approaches facilitate the prediction and understanding of drug-induced toxicity.