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On-line metabolic pathway analysis based on metabolic signal flow diagram

*Corresponding author for this work
  • Kyushu Institute of Technology
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

In this work, an integrated modeling approach based on a metabolic signal flow diagram and cellular energetics was used to model the metabolic pathway analysis for the cultivation of yeast on glucose. This approach enables us to make a clear analysis of the flow direction of the carbon fluxes in the metabolic pathways as well as of the degree of activation of a particular pathway for the synthesis of biomaterials for cell growth. The analyses demonstrate that the main metabolic pathways of Saccharomyces cerevisiae change significantly during batch culture. Carbon flow direction is toward glycolysis to satisfy the increase of requirement for precursors and energy. The enzymatic activation of TCA cycle seems to always be at normal level, which may result in the overflow of ethanol due to its limited capacity. The advantage of this approach is that it adopts both virtues of the metabolic signal flow diagram and the simple network analysis method, focusing on the investigation of the flow directions of carbon fluxes and the degree of activation of a particular pathway or reaction loop. All of the variables used in the model equations were determined on-line; the information obtained from the calculated metabolic coefficients may result in a better understanding of cell physiology and help to evaluate the state of the cell culture process.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 139-148 (10 pages)

Journal (Volume, Issue Number)

Biotechnology and Bioengineering (Volume 58, Issue 2-3)

Publication milestones

  • Published - 05/05/1998

Publication status

Published - 05/05/1998

ISSN

0006-3592

Publication IDs

  • Scopus: 0032485895
  • PubMed: 10191383

Publication metrics

Metrics

SciVal
citations
20
Fractional count
1
Fractional count
0.50
Fractional count
1
Fractional count
0.50
Fractional count
1
Fractional count
1
Scopus
citations
SciVal
FWCI
0.90
SciVal
Author count
2
SciVal
Paper percentile
71

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Citation count
21
Captures
58