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MINEs: open access databases of computationally predicted enzyme promiscuity products for untargeted metabolomics

BACKGROUND: In spite of its great promise, metabolomics has proven difficult to execute in an untargeted and generalizable manner. Liquid chromatography–mass spectrometry (LC–MS) has made it possible to gather data on thousands of cellular metabolites. However, matching metabolites to their spectral...

詳細記述

保存先:
書誌詳細
出版年:J Cheminform
主要な著者: Jeffryes, James G, Colastani, Ricardo L, Elbadawi-Sidhu, Mona, Kind, Tobias, Niehaus, Thomas D, Broadbelt, Linda J, Hanson, Andrew D, Fiehn, Oliver, Tyo, Keith E J, Henry, Christopher S
フォーマット: Artigo
言語:Inglês
出版事項: Springer International Publishing 2015
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4550642/
https://ncbi.nlm.nih.gov/pubmed/26322134
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13321-015-0087-1
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