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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Tokmakov, A.A., Kurotani, A., Shirouzu, M., Fukami, Y., Yokoyama, S. (2014). Bioinformatics Analysis and Optimization of Cell-Free Protein Synthesis. In: Alexandrov, K., Johnston, W. (eds) Cell-Free Protein Synthesis. Methods in Molecular Biology, vol 1118. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-782-2_2
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DOI: https://doi.org/10.1007/978-1-62703-782-2_2
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