The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Metabolic control and its analysis. Additional relationships between elasticities and control coefficients
Open accessAbstract
Existing theorems from the analysis of metabolic control have been taken and embedded in a simple matrix algebra procedure for calculating the flux control coefficients of enzymes (formerly known as sensitivities) in a metabolic pathway from their kinetic properties (their elasticities). New theorems governing the flux control coefficients of branched pathways and substrate cycles have been derived to allow the procedure to be applied to complex pathway configurations. Modifications to the elasticity terms used in the equations have been theoretically justified so that the method remains valid for pathways with conserved metabolites (for example, the adenine nucleotide pool or the intermediates of a catalytic cycle such as the tricarboxylic acid cycle) or with pools of metabolites kept very near to equilibrium by very rapid reactions. The matrix equations generated using these theorems and relationships may be solved algebraically or numerically. Algebraic solutions have been used to determine the factors responsible for the degree of amplification of flux control coefficients by substrate cycles and to show that it is possible to derive expressions for the elasticities of a group of enzymes.
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Cites
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Metabolic regulation and mathematical models
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Molecular Democracy: Who Shares the Controls?
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Circulation, Respiration, and Metabolism: Current Comparative Approaches
(1985) · Proceedings in Life Sciences · doi:10.1007/978-3-642-70610-3 · Cited by 238
Control analysis of metabolic systems
Burns, J. A., Cornish-Bowden, A., Groen, A. K., Heinrich, R., Kacser, H., Porteous, J. W., Rapoport, S. M., Rapoport, T. A., Stucki, J. W., Tager, J. M., et al. (1985) · Trends in Biochemical Sciences · doi:10.1016/0968-0004(85)90008-8 · Cited by 185
Modern theories of metabolic control and their applications
Westerhoff, H. V., Groen, A. K., & Wanders, R. J. A. (1984) · Bioscience Reports · doi:10.1007/bf01120819 · Cited by 178
The control of enzyme systems in vivo: Elasticity analysis of the steady state
KACSER, H. (1983) · Biochemical Society Transactions · doi:10.1042/bst0110035 · Cited by 172
Oscillations and control features in glycolysis: numerical analysis of a comprehensive model.
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Cited by
Metabolic control analysis: a survey of its theoretical and experimental development
Fell, D. A. (1992) · Biochemical Journal · doi:10.1042/bj2860313 · Cited by 782
Self-citationCunha, R. A. (2001) · Neurochemistry International · doi:10.1016/s0197-0186(00)00034-6 · Cited by 631
Thermodynamics-Based Metabolic Flux Analysis
Henry, C. S., Broadbelt, L. J., & Hatzimanikatis, V. (2007) · Biophysical Journal · doi:10.1529/biophysj.106.093138 · Cited by 607
Metabolic control theory: A structural approach
Reder, C. (1988) · Journal of Theoretical Biology · doi:10.1016/s0022-5193(88)80073-0 · Cited by 552
HAFNER, R. P., BROWN, G. C., & BRAND, M. D. (1990) · European Journal of Biochemistry · doi:10.1111/j.1432-1033.1990.tb15405.x · Cited by 268
Metadata
- Authors
- FELL, D. A., & SAURO, H. M.
- Venue
- European Journal of Biochemistry
- Publisher
- Wiley
- Published
- 1985-05
- Volume
- 148
- Issue
- 3
- Pages
- 555-561
- ISSN
- 0014-2956 (ISSN-L)
- 1432-1033
- OpenAlex
- W1504385853
- Cited by
- 311
- References
- 18
- FWCI
- 5.11
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.