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Optimization of fermentation conditions for the production of human soluble catechol-O-methyltransferase by Escherichia coli using artificial neural network

Paper ID Volume ID Publish Year Pages File Format Full-Text
23857 43478 2012 8 PDF Available
Title
Optimization of fermentation conditions for the production of human soluble catechol-O-methyltransferase by Escherichia coli using artificial neural network
Abstract

The aim of this work was to optimize the temperature, pH and stirring rate of the production of human soluble catechol-O-methyltransferase (hSCOMT) in a batch Escherichia coli culture process. A central composite design (CCD) was firstly employed to design the experimental assays used in the evaluation of these operational parameters on the hSCOMT activity for a semi-defined and complex medium. Predictive artificial neural network (ANN) models of the hSCOMT activity as function of the combined effects of these variables was proposed based on this exploratory experiments performed for the two culture media. The regression coefficients (R2) for the final models were 0.980 and 0.983 for the semi-defined and complex medium, respectively. The ANN models predicted a maximum hSCOMT activity of 183.73 nmol/h, at 40 °C, pH 6.5 and stirring rate of 351 rpm, and 132.90 nmol/h, at 35 °C, pH 6.2 and stirring rate of 351 rpm, for semi-defined and complex medium, respectively. These results represent a 4-fold increase in total hSCOMT activity by comparison to the standard operational conditions used for this bioprocess at slight scale.

► ANN models for hSCOMT activity as function of physical parameters was proposed. ► A 4-fold increase in activity was obtained by comparison to standard procedures.

Keywords
COMT, catechol-O-methyltransferase; E. coli, Escherichia coli; hSCOMT, human soluble catechol-O-methyltransferase; CCD, Central composite design; ANN, predictive artificial neural network; MBCOMT, membrane-bound catechol-O-methyltransferase; SAM, S-adenos
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Optimization of fermentation conditions for the production of human soluble catechol-O-methyltransferase by Escherichia coli using artificial neural network
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Publisher
Database: Elsevier - ScienceDirect
Journal: Journal of Biotechnology - Volume 160, Issues 3–4, 31 August 2012, Pages 161–168
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