ISSN:
0006-3592
Keywords:
metabolic engineering
;
mathematical programming
;
mixed integer nonlinear programming (MINLP)
;
metabolic control analysis
;
Dictyostelium discoideum
;
tricarboxylic acid cycle
;
Chemistry
;
Biochemistry and Biotechnology
Source:
Wiley InterScience Backfile Collection 1832-2000
Topics:
Biology
,
Process Engineering, Biotechnology, Nutrition Technology
Notes:
The design of new generation bioprocessing plants is increasingly dependent on the design of process-compatible microorganisms. The latter, whether through genetic or physiological manipulations, can be greatly assisted by metabolic engineering. An emerging powerful tool in metabolic engineering research is computer-assisted cell design using mathematical programming. In this work, the problem of optimizing cellular metabolic networks has been formulated as a Mixed Integer Nonlinear Programming (MINLP) model. The model can assist genetic engineers to identify which cellular enzymes should be modified, and the new levels of activity required to produce an optimal network. Results are presented from the tricarboxylic acid cycle in Dictyostelium discoideum. © 1998 John Wiley & Sons, Inc. Biotechnol Bioeng 58:267-271, 1998.
Additional Material:
3 Ill.
Type of Medium:
Electronic Resource
