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, Y. M, 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, Nishioka, T
J. Mass Spectro. 45 7 703 - 714 2010年07月08日
[査読有り][通常論文] 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)-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.