Journal article
UP Finder: A COBRA toolbox extension for identifying gene overexpression strategies for targeted overproduction
Metabolic engineering communications, Vol.5(C), pp.54-59
12/2017
Handle:
https://hdl.handle.net/2376/110987
PMCID: PMC5699525
PMID: 29188184
Abstract
Overexpression of key genes is a basic strategy for overproducing target products via metabolic engineering. Traditionally, identifying those key genes/pathways largely relies on the knowledge of biochemistry and bioinformatics. In this study, a modeling tool named UP Finder was developed to facilitate the rapid identification of gene overexpression strategies. It was based on the COBRA toolbox under MATLAB environment. All the key gene/pathway targets are identified in one click after simply loading a Systems Biology Markup Language model and specifying a metabolite as the targeted product. The outputs are also quantitatively ranked to show the preference for determining overexpression strategies in pathway design. Analysis examples for overproducing lycopene precursor in
Escherichia coli
and fatty acyl-ACP in the cyanobacterium
Synechocystis
sp. PCC 6803 by the UP Finder showed high degree of agreement with the reported key genes in the literatures.
fx1
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A modeling interface is developed for identifying gene overexpression targets.
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It evaluates the yield contribution for each overexpression candidate.
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The outputs are ranked to show the preference for determining strategies.
Metrics
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Details
- Title
- UP Finder: A COBRA toolbox extension for identifying gene overexpression strategies for targeted overproduction
- Creators
- Xi Wang - Department of Biological Systems Engineering, Washington State University, Pullman, WA 99164, USALiang Yu - Department of Biological Systems Engineering, Washington State University, Pullman, WA 99164, USAShulin Chen - Department of Biological Systems Engineering, Washington State University, Pullman, WA 99164, USA
- Publication Details
- Metabolic engineering communications, Vol.5(C), pp.54-59
- Academic Unit
- Biological Systems Engineering, Department of
- Publisher
- Elsevier
- Identifiers
- 99900583058501842
- Language
- English
- Resource Type
- Journal article