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MassBank: a public repository for sharing mass spectral data for life sciences
Article first published online: 7 JUL 2010
DOI: 10.1002/jms.1777
Copyright © 2010 John Wiley & Sons, Ltd.
Additional Information
How to Cite
Horai, H., Arita, M., Kanaya, S., Nihei, Y., Ikeda, T., Suwa, K., Ojima, Y., Tanaka, K., Tanaka, S., Aoshima, K., Oda, Y., Kakazu, Y., Kusano, M., Tohge, T., Matsuda, F., Sawada, Y., Hirai, M. Y., Nakanishi, H., Ikeda, K., Akimoto, N., Maoka, T., Takahashi, H., Ara, T., Sakurai, N., Suzuki, H., Shibata, D., Neumann, S., Iida, T., Tanaka, K., Funatsu, K., Matsuura, F., Soga, T., Taguchi, R., Saito, K. and Nishioka, T. (2010), MassBank: a public repository for sharing mass spectral data for life sciences. Journal of Mass Spectrometry, 45: 703–714. doi: 10.1002/jms.1777
Publication History
- Issue published online: 8 JUL 2010
- Article first published online: 7 JUL 2010
- Manuscript Accepted: 1 JUN 2010
- Manuscript Received: 18 MAR 2010
Funded by
- Institute for Bioinformatics Research
- Development of the Japan Science and Technology Agency
- Priority Area from the Ministry of Education, Culture, Sports, Science and Technology of Japan. Grant Number: 18016028
- New Energy and Industrial Technology Development Organization (NEDO)
- Abstract
- Article
- References
- Cited By
Keywords:
- MassBank;
- public database;
- distributed database;
- metabolite;
- spectral similarity
Abstract
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 (ESI)-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 © 2010 John Wiley & Sons, Ltd.

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