Literature DB >> 35089551

Tailoring Codon Usage to the Underlying Biology for Protein Expression Optimization.

Zahra Alirezaeizanjani1, Jan-Hendrik Trösemeier2,3, Christel Kamp2, Sophia Rudorf4.   

Abstract

For heterologous gene expression, codon optimization is required to enhance the quality and quantity of the protein product. Recently, we introduced the software tool OCTOPOS. This sequence optimizer combines a detailed mechanistic mathematical modeling of in vivo protein synthesis with a state-of-the-art machine learning algorithm to find the sequence that best serves a user's needs. Here, we briefly describe the algorithm and its implementation as well as its application in practice using OCTOPOS.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Codon optimization; Heterologous gene expression; OCTOPOS; Protein synthesis; mRNA translation

Mesh:

Substances:

Year:  2022        PMID: 35089551     DOI: 10.1007/978-1-0716-1859-2_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  19 in total

1.  The GeneOptimizer Algorithm: using a sliding window approach to cope with the vast sequence space in multiparameter DNA sequence optimization.

Authors:  David Raab; Marcus Graf; Frank Notka; Thomas Schödl; Ralf Wagner
Journal:  Syst Synth Biol       Date:  2010-09-01

2.  The Synthetic Gene Designer: a flexible web platform to explore sequence manipulation for heterologous expression.

Authors:  Gang Wu; Nabila Bashir-Bello; Stephen J Freeland
Journal:  Protein Expr Purif       Date:  2005-11-15       Impact factor: 1.650

Review 3.  You're one in a googol: optimizing genes for protein expression.

Authors:  Mark Welch; Alan Villalobos; Claes Gustafsson; Jeremy Minshull
Journal:  J R Soc Interface       Date:  2009-03-11       Impact factor: 4.118

4.  The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications.

Authors:  P M Sharp; W H Li
Journal:  Nucleic Acids Res       Date:  1987-02-11       Impact factor: 16.971

5.  Expression pattern and, surprisingly, gene length shape codon usage in Caenorhabditis, Drosophila, and Arabidopsis.

Authors:  L Duret; D Mouchiroud
Journal:  Proc Natl Acad Sci U S A       Date:  1999-04-13       Impact factor: 11.205

Review 6.  Synonymous but not the same: the causes and consequences of codon bias.

Authors:  Joshua B Plotkin; Grzegorz Kudla
Journal:  Nat Rev Genet       Date:  2010-11-23       Impact factor: 53.242

7.  Codon Optimization OnLine (COOL): a web-based multi-objective optimization platform for synthetic gene design.

Authors:  Ju Xin Chin; Bevan Kai-Sheng Chung; Dong-Yup Lee
Journal:  Bioinformatics       Date:  2014-04-10       Impact factor: 6.937

8.  Codon influence on protein expression in E. coli correlates with mRNA levels.

Authors:  Reka Letso; Helen Neely; W Nicholson Price; Grégory Boël; Kam-Ho Wong; Min Su; Jon Luff; Mayank Valecha; John K Everett; Thomas B Acton; Rong Xiao; Gaetano T Montelione; Daniel P Aalberts; John F Hunt
Journal:  Nature       Date:  2016-01-13       Impact factor: 49.962

9.  JCat: a novel tool to adapt codon usage of a target gene to its potential expression host.

Authors:  Andreas Grote; Karsten Hiller; Maurice Scheer; Richard Münch; Bernd Nörtemann; Dietmar C Hempel; Dieter Jahn
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

10.  OPTIMIZER: a web server for optimizing the codon usage of DNA sequences.

Authors:  Pere Puigbò; Eduard Guzmán; Antoni Romeu; Santiago Garcia-Vallvé
Journal:  Nucleic Acids Res       Date:  2007-04-16       Impact factor: 16.971

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