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An elementary metabolite unit (EMU) based method of isotopically nonstationary flux analysis by Jamey D. Young; Jason L. Walther; Maciek R. Antoniewicz; Hyuntae Yoo; Gregory Stephanopoulos is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

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## Abstract Nonstationary metabolic flux analysis (NMFA) is at present a very computationally intensive exercise, especially for large reaction networks. We applied elementary metabolite unit (EMU) theory to NMFA, dramatically reducing computational difficulty. We also introduced block decoupling, a new method that systematically and comprehensively divides EMU systems of equations into smaller subproblems to further reduce computational difficulty. These improvements led to a 5000‐fold reduction in simulation times, enabling an entirely new and more complicated set of problems to be analyzed with NMFA. We simulated a series of nonstationary and stationary GC/MS measurements for a large __E. coli__ network that was then used to estimate parameters and their associated confidence intervals. We found that fluxes could be successfully estimated using only nonstationary labeling data and external flux measurements. Addition of near‐stationary and stationary time points increased the precision of most parameters. Contrary to prior reports, the precision of nonstationary estimates proved to be comparable to the precision of estimates based solely on stationary data. Finally, we applied E

Who reads An elementary metabolite unit (EMU) based method of isotopically nonstationary flux analysis?

Author

Jamey D. Young; Jason L. Walther; Maciek R. Antoniewicz; Hyuntae Yoo; Gregory Stephanopoulos

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); Wiley - V C H Verlag GmbbH & Co.; Wiley (ISSN 0006-3592)

Published

2007

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)