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Carbon-fate maps for metabolic reactions
Author(s) -
Fangping Mu,
Robert F. Williams,
Clifford J. Ünkefer,
Pat J. Unkefer,
James R. Faeder,
William S. Hlavacek
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm498
Subject(s) - bijection , isotopomers , identifier , computer science , consistency (knowledge bases) , carbon fibers , software , isotopes of carbon , set (abstract data type) , chemistry , molecule , programming language , algorithm , mathematics , artificial intelligence , total organic carbon , organic chemistry , discrete mathematics , composite number
Stable isotope labeling of small-molecule metabolites (e.g. (13)C-labeling of glucose) is a powerful tool for characterizing pathways and reaction fluxes in a metabolic network. Analysis of isotope labeling patterns requires knowledge of the fates of individual atoms and moieties in reactions, which can be difficult to collect in a useful form when considering a large number of enzymatic reactions.

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