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  Tailoring codon usage to the underlying biology for protein expression optimization

Alirezaeizanjani, Z., Trösemeier, J.-H., Kamp, C., & Rudorf, S. (2022). Tailoring codon usage to the underlying biology for protein expression optimization. In J. M. Walker (Ed.), Methods in Molecular Biology (pp. 85-92). New York, NY. doi:10.1007/978-1-0716-1859-2_4.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-EE5C-5 Version Permalink: https://hdl.handle.net/21.11116/0000-0009-EE5D-4
Genre: Book Chapter

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Chapter.pdf (Publisher version), 230KB
 
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 Creators:
Alirezaeizanjani, Zahra1, Author
Trösemeier, Jan-Hendrik, Author
Kamp, Christel, Author
Rudorf, Sophia1, Author           
Affiliations:
1Sophia Rudorf, Theorie & Bio-Systeme, Max Planck Institute of Colloids and Interfaces, Max Planck Society, ou_2205637              

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Free keywords: codon optimization; protein synthesis; mRNA translation; heterologous gene expression; OCTOPOS
 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.

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Language(s): eng - English
 Dates: 2022-01-012022
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-1-0716-1859-2_4
 Degree: -

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Title: Methods in Molecular Biology
Source Genre: Series
 Creator(s):
Walker, John M., Editor
Affiliations:
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Publ. Info: New York, NY
Pages: - Volume / Issue: 2406 Sequence Number: - Start / End Page: 85 - 92 Identifier: ISSN: 1940-6029

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Title: Insoluble proteins : methods and protocols
Source Genre: Book
 Creator(s):
Garcia Fruitós, Elena, Editor
Arís Giralt, Anna, Editor
Affiliations:
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Publ. Info: New York, NY : Springer US
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISBN: 978-1-0716-1859-2