"CodonWizard" - An intuitive software tool with graphical user interface for customizable codon optimization in protein expression efforts.


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
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

84-93

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Peter Rehbein (P)

Institute for Applied Biotechnology, University of Applied Sciences Biberach, Hubertus-Liebrecht-Straße 35-37, 88400, Biberach, Germany. Electronic address: rehbein@nmr.uni-frankfurt.de.

Jannik Berz (J)

Institute for Molecular Life Sciences, Department of Molecular Cell Biology of Plants, Goethe University Frankfurt, Max-von-Laue-Straße 7, 6043, Frankfurt Am Main, Germany.

Patrick Kreisel (P)

Institute for Molecular Life Sciences, Department of Molecular Cell Biology of Plants, Goethe University Frankfurt, Max-von-Laue-Straße 7, 6043, Frankfurt Am Main, Germany.

Harald Schwalbe (H)

Institute for Organic Chemistry and Chemical Biology, Center of Biomolecular Magnetic Resonance, Goethe University Frankfurt, Max-von-Laue-Straße 7, 60438, Frankfurt Am Main, Germany.

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Classifications MeSH