Abstract
Metabolic Engineering (ME) provides the know-how for the reconstruction of microorganisms, in order to provide higher production rates of biotechnological products and increase their potential application in several industries, particularly those pharmaceutical, food and environmental. However, microbial metabolic cell reconstruction has limitations. Metabolic Control Analysis (MCA) allows the evaluation of the reliability of the changes performed by ME, emphasizing the importance of the whole pathways rather than individual pathway reactions resulting from simple flux analysis. This led to an increased emphasis on the regulatory structure of the network. The use of MCA becomes indispensable to quantify metabolic parameters, particularly those related with direct genetic modifications. However, this type of analysis is not a common practice. In the present study MCA is exemplified as a tool of ME, being demonstrated its practical application in drug delivery and in the production of three relevant biotechnological products (penicillin V, llysine and glycerol).
Keywords: Control coefficient, drug delivery, enzyme, glycerol, kinetics, l-lysine, metabolic control analysis, penicillin V.
Current Bioinformatics
Title:Metabolic Control Analysis and its Applications
Volume: 9 Issue: 5
Author(s): Ana Meireles and Manuel Simoes
Affiliation:
Keywords: Control coefficient, drug delivery, enzyme, glycerol, kinetics, l-lysine, metabolic control analysis, penicillin V.
Abstract: Metabolic Engineering (ME) provides the know-how for the reconstruction of microorganisms, in order to provide higher production rates of biotechnological products and increase their potential application in several industries, particularly those pharmaceutical, food and environmental. However, microbial metabolic cell reconstruction has limitations. Metabolic Control Analysis (MCA) allows the evaluation of the reliability of the changes performed by ME, emphasizing the importance of the whole pathways rather than individual pathway reactions resulting from simple flux analysis. This led to an increased emphasis on the regulatory structure of the network. The use of MCA becomes indispensable to quantify metabolic parameters, particularly those related with direct genetic modifications. However, this type of analysis is not a common practice. In the present study MCA is exemplified as a tool of ME, being demonstrated its practical application in drug delivery and in the production of three relevant biotechnological products (penicillin V, llysine and glycerol).
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Cite this article as:
Meireles Ana and Simoes Manuel, Metabolic Control Analysis and its Applications, Current Bioinformatics 2014; 9 (5) . https://dx.doi.org/10.2174/1574893609666140515230435
DOI https://dx.doi.org/10.2174/1574893609666140515230435 |
Print ISSN 1574-8936 |
Publisher Name Bentham Science Publisher |
Online ISSN 2212-392X |
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