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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Database
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550642/
https://www.ncbi.nlm.nih.gov/pubmed/26322134
http://dx.doi.org/10.1186/s13321-015-0087-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550642/
https://www.ncbi.nlm.nih.gov/pubmed/26322134
http://dx.doi.org/10.1186/s13321-015-0087-1

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