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

作者：Horai Hisayuki; Arita Masanori; Kanaya Shigehiko; Nihei Yoshito; Ikeda Tasuku; Suwa Kazuhiro; Ojima Yuya; Tanaka Kenichi; Tanaka Satoshi; Aoshima Ken; Oda Yoshiya; Kakazu Yuji; Kusano Miyako; Tohge Takayuki; Matsuda Fumio; Sawada Yuji; Hirai Masami Yokota; Nakanishi Hiroki; Ikeda Kazutaka; Akimoto Naoshige; Maoka Takashi; Takahashi Hiroki; Ara Takeshi; Sakurai Nozomu; Suzuki Hideyuki; Shibata Daisuke; Neumann Steffen; Iida Takashi; Tanaka Ken; Funatsu Kimito

来源：Journal of Mass Spectrometry, 2010, 45(7): 703-714.

DOI：10.1002/jms.1777

• MassBank
• public database
• distributed database
• metabolite
• spectral similarity

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)-MS(n) 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-MS(2) data of 679 synthetic drugs contributed by 16 research groups (January 2010). ESI-MS(2) 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-MS(2) data. MassBank also provides a merged spectrum for each compound prepared by merging the analyzed ESI-MS(2) 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.

• 出版日期2010-7