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Metabolomics is the scientific study of chemical processes involving metabolites, the small molecule substrates, intermediates, and products of cell metabolism. Specifically, metabolomics is the "systematic study of the unique chemical fingerprints that specific cellular processes leave behind", the study of their small-molecule metabolite ...
The first book on metabolomics was published in 2003. [5] The first journal dedicated to metabolomics (titled simply "Metabolomics") was launched in 2005 and is currently edited by Prof. Roy Goodacre. Some of the more significant early papers on metabolome analysis are listed in the references below. [6] [7] [8] [9]
Metabolomic Pathway Analysis, shortened to MetPA, is a freely available, user-friendly web server to assist with the identification analysis and visualization of metabolic pathways using metabolomic data. [1]
MetaboLights [1] is a data repository founded in 2012 for cross-species and cross-platform metabolomic studies that provides primary research data and meta data for metabolomic studies as well as a knowledge base for properties of individual metabolites.
Mass spectrometry techniques are used. Chemoproteomics: An array of techniques used to study protein-small molecule interactions; Immunoproteomics: Study of large sets of proteins (proteomics) involved in the immune response; Nutriproteomics: Identifying the molecular targets of nutritive and non-nutritive components of the diet.
While metabolomics can provide instantaneous information on the metabolites in a biological sample, metabolism is a dynamic process. [2] The significance of fluxomics is that metabolic fluxes determine the cellular phenotype. [3] It has the added advantage of being based on the metabolome which has fewer components than the genome or proteome. [4]
In principle, any technologies used for metabolomics can be used for exometabolomics. However, liquid chromatography–mass spectrometry (LC–MS) has been the most widely used. [ 3 ] As with typical metabolomic measurements, metabolites are identified based on accurate mass, retention time, and their MS/MS fragmentation patterns, in comparison ...
In biochemistry, flux balance analysis (FBA) is a mathematical method for simulating the metabolism of cells or entire unicellular organisms, such as E. coli or yeast, using genome-scale reconstructions of metabolic networks.