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Bioinformatics analysis and optimization of cell-free protein synthesis.

Authors
  • Tokmakov, Alexander A
  • Kurotani, Atsushi
  • Shirouzu, Mikako
  • Fukami, Yasuo
  • Yokoyama, Shigeyuki
Type
Published Article
Journal
Methods in Molecular Biology
Publication Date
Jan 01, 2014
Volume
1118
Pages
17–33
Identifiers
DOI: 10.1007/978-1-62703-782-2_2
PMID: 24395407
Source
Medline
License
Unknown

Abstract

Cell-free protein synthesis offers substantial advantages over cell-based expression, allowing direct access to the protein synthetic reaction and meticulous control over the reaction conditions. Recently, we identified a number of statistically significant correlations between calculated and predicted properties of amino acid sequences and their amenability to heterologous cell-free expression. These correlations can be of practical use for predicting expression success and optimizing cell-free protein synthesis. In this chapter, we describe our approach and demonstrate how computational and predictive bioinformatics can be used to analyze and optimize cell-free protein expression.

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