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Rethinking Mass Spectrometry-Based Small Molecule Identification Strategies in Metabolomics

机译:代谢组学中基于质谱的小分子鉴定策略的重新思考

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摘要

The CASMI 2013 (Critical Assessment of Small Molecule Identification 2013, http://casmi-contest.org/) contest was held to systematically evaluate strategies used for mass spectrometry-based identification of small molecules. The results of the contest highlight that, because of the extensive efforts made towards the construction of databases and search tools, database-assisted small molecule identification can now automatically annotate some metabolite signals found in the metabolome data. In this commentary, the current state of metabolite annotation is compared with that of transcriptomics and proteomics. The comparison suggested that certain limitations in the metabolite annotation process need to be addressed, such as (i) the completeness of the database, (ii) the conversion between raw data and structure, (iii) the one-to-one correspondence between measured data and correct search results, and (iv) the false discovery rate in database search results.
机译:举行了CASMI 2013(2013年小分子鉴定关键评估,http://casmi-contest.org/)竞赛,目的是系统地评估用于基于质谱的小分子鉴定的策略。比赛的结果突出表明,由于在数据库和搜索工具的构建上付出了巨大的努力,数据库辅助的小分子鉴定现在可以自动注释在代谢组数据中发现的某些代谢物信号。在此评论中,将代谢物注释的当前状态与转录组学和蛋白质组学的状态进行了比较。比较结果表明,需要注意代谢物注释过程中的某些限制,例如(i)数据库的完整性,(ii)原始数据和结构之间的转换,(iii)测得值之间的一一对应关系数据和正确的搜索结果,以及(iv)数据库搜索结果中的错误发现率。

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