4.4 Article

MassBank: a public repository for sharing mass spectral data for life sciences

Journal

JOURNAL OF MASS SPECTROMETRY
Volume 45, Issue 7, Pages 703-714

Publisher

WILEY
DOI: 10.1002/jms.1777

Keywords

MassBank; public database; distributed database; metabolite; spectral similarity

Funding

  1. Institute for Bioinformatics Research and Development of the Japan Science and Technology Agency
  2. Ministry of Education, Culture, Sports, Science and Technology of Japan [18016028]
  3. Yamagata Prefecture and Tsuruoka City
  4. New Energy and Industrial Technology Development Organization (NEDO) of Japan
  5. Grants-in-Aid for Scientific Research [18016028] Funding Source: KAKEN

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MassBank is the first public repository of mass spectra of small chemical compounds for life sciences (<3000 Da). The database contains 605 electron-ionization mass spectrometry(EI-MS), 137 fast atom bombardment MS and 9276 electrospray ionization (E51)-MSn data of 2337 authentic compounds of metabolites, 11 545 EI-MS and 834 other-MS data of 10 286 volatile natural and synthetic compounds, and 3045 ESI-MS2 data of 679 synthetic drugs contributed by 16 research groups (January 2010). ESI-MS2 data were analyzed under nonstandardized, independent experimental conditions. MassBank is a distributed database. Each research group provides data from its own MassBank data servers distributed on the Internet. MassBank users can access either all of the MassBank data or a subset of the data by specifying one or more experimental conditions. In a spectral search to retrieve mass spectra similar to a query mass spectrum, the similarity score is calculated by a weighted cosine correlation in which weighting exponents on peak intensity and the mass-to-charge ratio are optimized to the ESI-MS2 data. MassBank also provides a merged spectrum for each compound prepared by merging the analyzed ESI-MS2 data on an identical compound under different collision-induced dissociation conditions. Data merging has significantly improved the precision of the identification of a chemical compound by 21-23% at a similarity score of 0.6. Thus, MassBank is useful for the identification of chemical compounds and the publication of experimental data. Copyright (C) 2010 John Wiley & Sons, Ltd.

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