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. © 2014 Springer Science+Business Media, LLC.
CITATION STYLE
Tokmakov, A. A., Kurotani, A., Shirouzu, M., Fukami, Y., & Yokoyama, S. (2014). Bioinformatics analysis and optimization of cell-free protein synthesis. Methods in Molecular Biology, 1118, 17–33. https://doi.org/10.1007/978-1-62703-782-2_2
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