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Metabolomics in Drug Target Discovery

Author(s): Rabinowitz, Joshua D; Purdy, JG; Vastag, L; Shenk, Thomas E; Koyuncu, E

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dc.contributor.authorRabinowitz, Joshua D-
dc.contributor.authorPurdy, JG-
dc.contributor.authorVastag, L-
dc.contributor.authorShenk, Thomas E-
dc.contributor.authorKoyuncu, E-
dc.date.accessioned2023-12-27T18:40:06Z-
dc.date.available2023-12-27T18:40:06Z-
dc.date.issued2011-01-01en_US
dc.identifier.citationRabinowitz, JD, Purdy, JG, Vastag, L, Shenk, T, Koyuncu, E. (2011). Metabolomics in Drug Target Discovery. Cold Spring Harbor Symposia on Quantitative Biology, 76 (0), 235 - 246. doi:10.1101/sqb.2011.76.010694en_US
dc.identifier.issn0091-7451-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr19p2w619-
dc.description.abstractMost diseases result in metabolic changes. In many cases, these changes play a causative role in disease progression. By identifying pathological metabolic changes, metabolomics can point to potential new sites for therapeutic intervention. Particularly promising enzymatic targets are those that carry increased flux in the disease state. Definitive assessment of flux requires the use of isotope tracers. Here we present techniques for finding new drug targets using metabolomics and isotope tracers. The utility of these methods is exemplified in the study of three different viral pathogens. For influenza A and herpes simplex virus, metabolomic analysis of infected versus mock-infected cells revealed dramatic concentration changes around the current antiviral target enzymes. Similar analysis of human-cytomegalovirus-infected cells, however, found the greatest changes in a region of metabolism unrelated to the current antiviral target. Instead, it pointed to the tricarboxylic acid (TCA) cycle and its efflux to feed fatty acid biosynthesis as a potential preferred target. Isotope tracer studies revealed that cytomegalovirus greatly increases flux through the key fatty acid metabolic enzyme acetyl-coenzyme A carboxylase. Inhibition of this enzyme blocks human cytomegalovirus replication. Examples where metabolomics has contributed to identification of anticancer drug targets are also discussed. Eventual proof of the value of metabolomics as a drug target discovery strategy will be successful clinical development of therapeutics hitting these new targets.en_US
dc.format.extent235 - 246en_US
dc.language.isoen_USen_US
dc.relation.ispartofCold Spring Harbor Symposia on Quantitative Biologyen_US
dc.rightsAuthor's manuscripten_US
dc.titleMetabolomics in Drug Target Discoveryen_US
dc.typeJournal Articleen_US
dc.identifier.doidoi:10.1101/sqb.2011.76.010694-
dc.date.eissued2011-11-23en_US
dc.identifier.eissn1943-4456-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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