Flux amplification in complex metabolic networks

Chemical Engineering Science

Volumn 52, Issue 15, 1997, Pages 2607-2627

  Stephanopoulos, Gregory ^a   Simpson, Troy W ^a  

^a Massachusetts Institute of Technology Cambridge   (United States)

Author keywords

Control coefficient; Flux amplification; Metabolic control analysis; Metabolic engineering; Metabolic networks

Indexed keywords

AMINO ACIDS; BIOSYNTHESIS; CHEMICAL VARIABLES CONTROL; COMPUTER SIMULATION; METABOLITES; OPTIMIZATION; PROBLEM SOLVING; REACTION KINETICS;

CONTROL COEFFICIENTS; FLUX AMPLIFICATION; METABOLIC CONTROL ANALYSIS (MCA); METABOLIC ENGINEERING; METABOLIC NETWORKS;

METABOLISM;

EID: 0031214696     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0009-2509(97)00077-8     Document Type: Article

References (14)

1. Brown, G. C., Hafner, R. P. and Brand, M. D. (1990) A 'top-down' approach to the determination of control coefficients by metabolic control theory. Eur. J. Biochem. 188, 321-325.
2. Fell, D. A. (1992) Metabolic control analysis: a survey of its theoretical and experimental development. Biochem. J. 286, 313-330.
3. Galazzo, J. L. and Bailey, J. E. (1990) Fermentation pathway kinetics and metabolic flux control in suspended and immobilized Saccharomyces cerevisiae. Enzyme Microb. Technol. 12, 162-172.
4. Galazzo, J. L. and Bailey, J. E. (1991) Errata. Enzyme Microb. Technol. 13, 363.
5. Kacser, H. and Acerenza, L. (1993) A universal method for achieving increases in metabolite production. Eur. J. Biochem. 216, 361-367.
6. Kacser, H. and Burns, J. A. (1973) The control of flux. Symp. Soc. Exp. Biol. 27, 65-104.
7. Liao, J. C. and Delgado, J. (1993) Advances in metabolic control analysis. Biotechnol. Prog. 9, 221-233.
8. Quant, P. A. (1993) Experimental application of top-down control analysis to metabolic systems. Trends Biochem. Sci. 18, 26-30.
9. Reder, C. (1988) Metabolic control theory: a structural approach. J. Theor. Biol. 135, 175-201.
10. Small, J. R. and Kacser, H. (1993a) Responses of metabolic systems to large changes in enzyme activities and effectors. I. The linear treatment of unbranched chains. Eur. J. Biochem. 213, 613-624.
11. Small, J. R. and Kacser, H. (1993b) Responses of metabolic systems to large changes in enzyme activities and effectors. II. The linear treatment of branched pathways and metabolite concentrations. Assessment of the general non-linear case. Eur. J. Biochem. 213, 625-640.
12. Simpson, T. W., Colón, G. E. and Stephanopoulos, G. (1995) Two paradigms of metabolic engineering applied to amino acid biosynthesis. Trans. Biochem. Soc. 23, 381-387.
13. Stephanopoulos, G. and Vallino, J. J. (1991) Network rigidity and metabolic engineering in metabolite overproduction. Science 252, 1675-1681.
14. Vallino, J. J. and Stephanopoulos, G. (1993) Metabolic flux distributions in Corynebacterium glutamicum during growth and lysine overproduction. Biotechnol. Bioeng. 41, 633-646.