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首页> 外文期刊>Journal of mass spectrometry: JMS >MassBank: A public repository for sharing mass spectral data for life sciences
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MassBank: A public repository for sharing mass spectral data for life sciences

机译:MassBank:用于共享生命科学质谱数据的公共存储库

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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-ionizationmass 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 bymerging 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.
机译:MassBank是第一个用于生命科学(<3000 Da)的小型化合物质谱图的公共数据库。该数据库包含2337种代谢物的真实化合物的605电子电离质谱(EI-MS),137个快速原子轰击质谱和9276电喷雾电离(ESI)-MS〜n数据,11545 EI-MS和834个其他MS数据16个研究小组提供的10 286种挥发性天然和合成化合物以及679种合成药物的3045 ESI-MS〜2数据(2010年1月)。在非标准化,独立实验条件下分析ESI-MS〜2数据。 MassBank是一个分布式数据库。每个研究小组都从分布在Internet上的自己的MassBank数据服务器提供数据。通过指定一个或多个实验条件,MassBank用户可以访问所有MassBank数据或数据的子集。在质谱检索中检索与查询质谱相似的质谱时,通过加权余弦相关性来计算相似性分数,其中将峰强度和质荷比的加权指数优化为ESI-MS〜2数据。 MassBank还提供了每种化合物的合并质谱图,这些化合物是通过在不同的碰撞诱导的解离条件下将相同化合物上的分析ESI-MS〜2数据合并而成的。数据合并显着提高了化合物鉴定的精确度,相似度为0.6时提高了21-23%。因此,MassBank可用于化合物的鉴定和实验数据的发布。

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