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Tailoring Codon Usage to the Underlying Biology for Protein Expression Optimization.
Alirezaeizanjani, Zahra; Trösemeier, Jan-Hendrik; Kamp, Christel; Rudorf, Sophia.
Afiliação
  • Alirezaeizanjani Z; Max Planck Institute of Colloids and Interfaces, Potsdam-Golm, Potsdam, Germany.
  • Trösemeier JH; Division of Microbiology, Section Biostatistics, Paul Ehrlich Institute, Langen, Germany.
  • Kamp C; Institute of Computer Science, Molecular Bioinformatics, Goethe University Frankfurt, Frankfurt am Main, Germany.
  • Rudorf S; Division of Microbiology, Section Biostatistics, Paul Ehrlich Institute, Langen, Germany.
Methods Mol Biol ; 2406: 85-92, 2022.
Article em En | MEDLINE | ID: mdl-35089551
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Uso do Códon Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Uso do Códon Idioma: En Ano de publicação: 2022 Tipo de documento: Article