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• W2032274803 endingPage "440" @default.
• W2032274803 startingPage "427" @default.
• W2032274803 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." @default.
• W2032274803 created "2016-06-24" @default.
• W2032274803 creator A5004013777 @default.
• W2032274803 creator A5035184259 @default.
• W2032274803 date "2013-01-08" @default.
• W2032274803 modified "2023-10-17" @default.
• W2032274803 title "Chemical approaches to study metabolic networks" @default.
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• W2032274803 doi "https://doi.org/10.1007/s00424-012-1201-0" @default.
• W2032274803 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3713524" @default.
• W2032274803 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23296751" @default.
• W2032274803 hasPublicationYear "2013" @default.
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