title: Bioinformatics analysis and optimization of cell-free protein synthesis.
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.
authors.affiliation: RIKEN Systems and Structural Biology Center, Tsurumi, Yokohama, Japan.
authors.forename: Alexander A
authors.initials: AA
authors.lastname: Tokmakov
authors.forename: Atsushi
authors.initials: A
authors.lastname: Kurotani
authors.forename: Mikako
authors.initials: M
authors.lastname: Shirouzu
authors.forename: Yasuo
authors.initials: Y
authors.lastname: Fukami
authors.forename: Shigeyuki
authors.initials: S
authors.lastname: Yokoyama
mesh_terms: D000595:Amino Acid Sequence; D002474:Cell-Free System; D019295:Computational Biology / Q000379:methods*; D004926:Escherichia coli / Q000166:cytology / Q000235:genetics; D005818:Genetic Engineering / Q000379:methods*; D006801:Humans; D010455:Peptides / Q000737:chemistry; D014176:Protein Biosynthesis; D011499:Protein Processing, Post-Translational; D011506:Proteins / Q000737:chemistry / Q000235:genetics / Q000378:metabolism; D012995:Solubility
chemical_list: D010455:Peptides; D011506:Proteins