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Identifiability of Metabolic Flux Ratios on Carbon Labeling Experiments by Rafael D. de Oliveira; Caroline S.M. Nakama; Vânia Novello; José G.C. Gomez; Galo A.C. Le Roux is a book available to read on EtoBox.

What is Identifiability of Metabolic Flux Ratios on Carbon Labeling Experiments about?

Systems biology is a field where Process System Engineering has an immense potential for contribution. The first step in applying Systems Biology to a given problem is to characterize potential microorganisms to be used for a transformation of interest. One basic characterization is to estimate what are the extents of the reactions that take place inside the cell, which is called flux analysis. In this contribution, we present an application of identifiability analysis to 13 C-Metabolic Flux Ratio Analysis ( 13 C-MFA), which is essentially a parameter estimation problem. A simple and precise way to assess if an experiment would give a unique solution for all flux ratio estimates is important for the successful use of 13 C-MFA. In this work, the principal components (PC) of the Hessian matrix were evaluated to assess the identifiability of metabolic fluxes on labeling experiments. A recently proposed sparse PC calculation was used for that end and compared with classic PC. This approach was applied to the estimation of metabolic flux ratios of the central metabolism of Pseudomonas aeruginosa producing polyhydroxyalkanoates (PHA). The results indicated that sparse PC make it straight

Author

Rafael D. de Oliveira; Caroline S.M. Nakama; Vânia Novello; José G.C. Gomez; Galo A.C. Le Roux

Publisher

Elsevier - Health Sciences Division

Published

2021

Language

EN

ISBN

9780323885065

Subjects

Engineering, Science, Chemistry