An old paper revisited: "A mathematical model of carbohydrate energy metabolism. Interaction between glycolysis, the Krebs cycle and the H-transporting shuttles at varying ATPases load" by V.V. Dynnik, R. Heinrich and E.E. Sel'kov

Journal of Theoretical Biology

Volumn 252, Issue 3, 2008, Pages 520-529

  Nazaret, Christine ^a   Mazat, Jean Pierre ^b  

^a UNIVERSITÉ DE BORDEAUX   (France)

^b INSERM   (France)

Author keywords

Control coefficient; Elementary flux mode; Energetic metabolism; Regulation by branched structure

Indexed keywords

ADENOSINE PHOSPHATE; ADENOSINE TRIPHOSPHATASE; GLUCOSE; GLYCERALDEHYDE 3 PHOSPHATE; PYRUVIC ACID; REDUCED NICOTINAMIDE ADENINE DINUCLEOTIDE;

BIOCHEMISTRY; BIOENERGETICS; CARBOHYDRATE; FLUX MEASUREMENT; METABOLISM; NUMERICAL MODEL;

ARTICLE; CARBOHYDRATE METABOLISM; CITRIC ACID CYCLE; ENERGY METABOLISM; GLUCOSE METABOLISM; GLYCOLYSIS; MATHEMATICAL MODEL; METABOLIC REGULATION; PRIORITY JOURNAL; PROTEIN INTERACTION; PROTON TRANSPORT; QUANTITATIVE ANALYSIS; STEADY STATE;

ADENOSINE TRIPHOSPHATASES; ANIMALS; BIOCHEMISTRY; BIOLOGICAL TRANSPORT, ACTIVE; CARBOHYDRATE METABOLISM; CITRIC ACID CYCLE; ENERGY METABOLISM; GLYCOLYSIS; HISTORY, 20TH CENTURY; MODELS, BIOLOGICAL;

EID: 43449137554     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2008.01.003     Document Type: Article

References (16)

1. Atkinson D.E. What should a theory of metabolic control offer to the experimenter?. In: Cornish-Bowden A., and Cárdenas M.L. (Eds). Control of Metabolic Processes (1990), Plenum Press, New York 3-11
2. Dynnik V.V., Heinrich R., and Sel'kov E.E. A mathematical model of carbohydrate energy metabolism. Interaction between glycolysis, the Krebs cycle and the H-transporting shuttles at varying ATPases load. Biokhimiya 45 (1980) 771-782 (in Russian)
3. Dynnik V.V., Heinrich R., and Sel'kov Ye.Ye. A mathematical model of carbohydrate energy metabolism. Interaction glycolysis, the Krebs cycle, and the H-transporting shuttles at varying ATPase load. Biochemistry (New York) 45 5 (1980) 589-598 (in English)
4. Heinrich R., and Rapoport T.A. A linear steady-state treatment of enzymatic chains: its application for the analysis of the crossover theorem and of the glycolysis of human erythrocytes. Acta Biol. Med. Ger. 31 (1973) 479-494
5. Heinrich R., and Rapoport T.A. A linear steady-state treatment of enzymatic chains. General properties, control and effector strength. Eur. J. Biochem. 42 (1974) 89-95
6. Heinrich R., Dynnik V.V., and Sel'kov E.E. Mathematical model for carbohydrate energy metabolism. Mechanism of the Pasteur effect. Biokhimiya 45 (1980) 963-973 (in Russian)
7. Heinrich R., Dynnik V.V., and Sel'kov Ye.Ye. A mathematical model for carbohydrate energy metabolism. The mechanism of the Pasteur effect. Biochemistry (New York) 45 6 (1980) 731-738 (in English)
8. Hofmeyr J.-H.S., and Cornish-Bowden A. Regulating the cellular economy of supply and demand. FEBS Lett. 476 (2000) 47-51
9. Kacser H., and Burns J.A. The control of flux. Symp. Soc. Exp. Biol. 32 (1973) 65-104
10. Mazat J.-P., and Mazat F. Double site enzyme and squatting: where one regulatory ligand is also a substrate of the reaction. J. Theor. Biol. 121 (1986) 89-103
11. Mazat J.-P., Langla J., and Mazat F. Double site enzyme and squatting. J. Theor. Biol. 68 (1977) 365-383
12. Pfeiffer T., Sanchez-Valdenebro I., Nuno J.C., Montero F., and Schuster S. Metatool: for studying metabolic networks. Bioinformatics 15 (1999) 251-257
13. Schuster S., and Hilgetag C. On elementary flux modes in biochemical reaction systems at steady state. J. Biol. Syst. 2 (1994) 165-182
14. Schuster S., Dandekar T., and Fell D.A. Detection of elementary modes in biochemical networks: a promising tool for pathway analysis and metabolic engineering. Trends Biotechnol. 17 (1999) 53-60
15. Schuster S., Fell D.A., and Dandekar T. A general definition of metabolic pathways useful for systematic organization and analysis of complex metabolic networks. Nat. Biotechnol. 18 (2000) 326-332
16. Sel'kov E.E. Self-oscillations in glycolysis. Eur. J. Biochem. 4 (1968) 79-86