Abstract
Metabolomics is the characterization, identification, and quantitation of metabolites resulting from a wide range of biochemical processes in living systems. Its rapid development over the past few years has increased the demands for bioinformatics and cheminformatics resources that span from data processing tools, comprehensive databases, statistical tools, and computational tools for modeling metabolic networks. With the wealth of information that is being amassed, new types of metabolomic databases are emerging that are not only designed to store, manage, and analyze metabolomic data but are also designed to serve as gateways to the vast information space of metabolism in living systems. At present, metabolomics is underpinned by a number of freely and commercially available databases that provide information on the chemical structures, physicochemical and pharmacological properties, spectral profiles, experimental workflows, and biological functions of metabolites. This review provides an overview of the recent progress in databases employed in metabolomics.
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I am grateful to Dr. Sunia Trauger, Kathryn Rebecchi, and Melinda Toumi for critically reading the manuscript.
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Go, E.P. Database Resources in Metabolomics: An Overview. J Neuroimmune Pharmacol 5, 18–30 (2010). https://doi.org/10.1007/s11481-009-9157-3
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DOI: https://doi.org/10.1007/s11481-009-9157-3