fulltext.study @t Gmail

Theoretical analysis of amino acid-producing Escherichia coli using a stoichiometric model and multivariate linear regression

Paper ID Volume ID Publish Year Pages File Format Full-Text
22208 43261 2006 7 PDF Available
Title
Theoretical analysis of amino acid-producing Escherichia coli using a stoichiometric model and multivariate linear regression
Abstract

This work demonstrates a novel computational approach combining flux balance modeling with statistical methods to identify correlations among fluxes in a metabolic network, providing insight as to how the fluxes should be redirected to achieve maximum product yield. The procedure is demonstrated using the example of amino acid production from an industrial Escherichia coli production strain and a hypothetical engineered strain overexpressing two heterologous genes. Regression analysis based on a random sampling of 5000 points within the feasible solution space of the E. coli stoichiometric network suggested that increased activity of the glyoxylate cycle or PEP carboxylase and elimination of malic enzyme will improve lysine and arginine synthesis.

Keywords
metabolic flux analysis; lysine; multivariate regression; Escherichia coli3PG, 3-phospho-D-glycerate; AcCoA, acetylcoenzyme-A; AcOH, acetate; aIVA, alpha-keto-isovaleric acid; aKG, 2-oxoglutaric acid; ALC, acetohydroxy acid; ASA, aspartate semialdehyde; C
First Page Preview
Theoretical analysis of amino acid-producing Escherichia coli using a stoichiometric model and multivariate linear regression
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
Publisher
Database: Elsevier - ScienceDirect
Journal: Journal of Bioscience and Bioengineering - Volume 102, Issue 1, July 2006, Pages 34–40
Authors
, , , ,
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