"CodonWizard" - An intuitive software tool with graphical user interface for customizable codon optimization in protein expression efforts.
Codon
Expression
Optimization
Protein
Sequence
Software
Journal
Protein expression and purification
ISSN: 1096-0279
Titre abrégé: Protein Expr Purif
Pays: United States
ID NLM: 9101496
Informations de publication
Date de publication:
08 2019
08 2019
Historique:
received:
01
03
2019
revised:
25
03
2019
accepted:
31
03
2019
pubmed:
7
4
2019
medline:
29
4
2020
entrez:
7
4
2019
Statut:
ppublish
Résumé
Optimization of coding sequences to maximize protein expression yield is often outsourced to external service providers during commercial gene synthesis and thus unfortunately remains a black box for many researchers. The presented software program "CodonWizard" offers scientists a powerful but easy-to-use tool for customizable codon optimization: The intuitive graphical user interface empowers even scientists inexperienced in the art to straightforward design, modify, test and save complex codon optimization strategies and to publicly share successful otimization strategies among the scientific community. "Codon Wizard" provides highly flexible features for sequence analysis and completely customizable modification/optimization of codon usage of any given input sequence data (DNA/RNA/peptide) using freely combinable algorithms, allowing for implementation of contemporary, well-established optimization strategies as well as novel, proprietary ones alike. Contrary to comparable tools, "Codon Wizard" thus finally opens up ways for an empirical approach to codon optimization and may also >be used completely offline to protect resulting intellectual property. As a benchmark, the reliability, intuitiveness and utility of the application could be demonstrated by increasing the yield of recombinant TEV-protease expressed in E. coli by several orders of magnitude after codon optimization using "CodonWizard" - Permanently available for download on the web at http://schwalbe.org.chemie.uni-frankfurt.de/node/3324.
Identifiants
pubmed: 30953700
pii: S1046-5928(19)30121-4
doi: 10.1016/j.pep.2019.03.018
pii:
doi:
Substances chimiques
Codon
0
Recombinant Proteins
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
84-93Informations de copyright
Copyright © 2019 Elsevier Inc. All rights reserved.