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Simultaneous modeling of enzyme production and biomass growth in recombinant Escherichia coli using artificial neural networks

Paper ID Volume ID Publish Year Pages File Format Full-Text
4343 221 2008 7 PDF Available
Title
Simultaneous modeling of enzyme production and biomass growth in recombinant Escherichia coli using artificial neural networks
Abstract

In this work, the biomass growth and the TaqI endonuclease production by recombinant Esherichia coli were studied using artificial neural networks. The effects of the medium components on biomass growth and enzyme yield were modeled by various networks. After the most successful networks were statistically determined, they were used to extract additional knowledge such as the possible correlations between the biomass growth and the enzyme yield, and the relative significance of the medium components. It was found that the change of the biomass growth and the enzyme yield with the change of KH2PO4 concentration was strongly correlated with an R-value of −0.954. Some mild correlations were also observed for the other components. It was also found that the relative significances of the medium components were in the same order for both outputs; (NH4)2HPO4 concentration was determined as the most important parameter followed by the glucose, KH2PO4 and MgSO4 concentrations.

Keywords
TaqI endonuclease; Enzyme production; Modeling; Optimization; Artificial intelligence; Neural networks
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Simultaneous modeling of enzyme production and biomass growth in recombinant Escherichia coli using artificial neural networks
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Publisher
Database: Elsevier - ScienceDirect
Journal: Biochemical Engineering Journal - Volume 42, Issue 3, 1 December 2008, Pages 329–335
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us