title: Chemical approaches to study metabolic networks.
abstract: One of the more provocative realizations that have come out of the genome sequencing projects is that organisms possess a large number of uncharacterized or poorly characterized enzymes. This finding belies the commonly held notion that our knowledge of cell metabolism is nearly complete, underscoring the vast landscape of unannotated metabolic and signaling networks that operate under normal physiological conditions, let alone in disease states where metabolic networks may be rewired, dysregulated, or altered to drive disease progression. Consequently, the functional annotation of enzymatic pathways represents a grand challenge for researchers in the post-genomic era. This review will highlight the chemical technologies that have been successfully used to characterize metabolism, and put forth some of the challenges we face as we expand our map of metabolic pathways.
authors.affiliation: Program in Metabolic Biology, Department of Nutritional Sciences and Toxicology, University of California, 127 Morgan Hall, Berkeley, CA 94720, USA.
authors.forename: Daniel
authors.initials: D
authors.lastname: Medina-Cleghorn
authors.forename: Daniel K
authors.initials: DK
authors.lastname: Nomura
mesh_terms: D000818:Animals; D004791:Enzyme Inhibitors / Q000494:pharmacology; D006801:Humans; D053858:Metabolic Networks and Pathways; D055432:Metabolomics / Q000379:methods*; D040081:Protein Array Analysis; D020543:Proteome / Q000037:antagonists & inhibitors / Q000378:metabolism
chemical_list: D004791:Enzyme Inhibitors; D020543:Proteome