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Related Experiment Video

Updated: Jun 25, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)
07:34

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)

Published on: March 14, 2013

Exploring human metabolites using the human metabolome database.

Ian J Forsythe1, David S Wishart2

  • 1Genome Alberta, Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada.

Current Protocols in Bioinformatics
|March 11, 2009
PubMed
Summary
This summary is machine-generated.

The Human Metabolome Database (HMDB) provides comprehensive data on human metabolites and enzymes for research. It offers detailed chemical, biological, and disease information, aiding fields like metabolomics and clinical chemistry.

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A Strategy for Sensitive, Large Scale Quantitative Metabolomics
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Related Experiment Videos

Last Updated: Jun 25, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)
07:34

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)

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Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)
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Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)

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A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

Area of Science:

  • Bioinformatics
  • Cheminformatics
  • Biochemistry
  • Clinical Chemistry
  • Metabolomics

Background:

  • The Human Metabolome Database (HMDB) is a vital Web-based resource.
  • It compiles extensive information on human metabolites and metabolic enzymes.
  • This database supports diverse scientific disciplines.

Purpose of the Study:

  • To provide a comprehensive, searchable resource for human metabolite and enzyme data.
  • To integrate literature-derived and experimental data for enhanced research utility.
  • To facilitate biomarker discovery, medical research, and nutritional science.

Main Methods:

  • Web-based platform development for data accessibility.
  • Integration of extensive literature-derived data.
  • Inclusion of experimental metabolite concentration data from biofluids (plasma, urine, CSF).

Main Results:

  • The HMDB offers detailed information on metabolites, including chemical structures, spectra, and concentrations.
  • Each metabolite entry contains an average of 90 data fields.
  • The database includes data on disease associations, pathways, and gene information.

Conclusions:

  • The HMDB is a fully searchable resource with tools for data viewing, sorting, and extraction.
  • It serves as a critical tool for metabolomics, clinical chemistry, and biomedical research.
  • The database facilitates the study of human metabolism, disease, and nutrition.