Publication Details
Computational Tools for Designing Smart Libraries
Bendl Jaroslav, Ing. (DIFS FIT BUT)
Brezovský Jan, Mgr., Ph.D. (LL)
Damborský Jiří, prof. Mgr., Dr. (LL)
directed evolution, rational design, improvement of enzyme properties, smart libraries
Traditional directed evolution experiments are often time-, labor- and cost-intensive because they involve repeated rounds of random mutagenesis and the selection or screening of large mutant libraries. The efficiency of directed evolution experiments can be significantly improved by targeting mutagenesis to a limited number of hot-spot positions and/or selecting a limited set of substitutions. The design of such "smart" libraries can be greatly facilitated by in silico analyses and predictions. Here we provide an overview of computational tools applicable for (a) the identification of hot-spots for engineering enzyme properties, and (b) the evaluation of predicted hot-spots and selection of suitable amino acids for substitutions. The selected tools do not require any specific expertise and can easily be implemented by the wider scientific community.
@INBOOK{FITPUB10601,
author = "Eva \v{S}ebestov\'{a} and Jaroslav Bendl and Jan Brezovsk\'{y} and Ji\v{r}\'{i} Damborsk\'{y}",
title = "Computational Tools for Designing Smart Libraries",
pages = "291--314",
booktitle = "Directed Evolution Library Creation",
series = "Methods in Molecular Biology",
year = 2014,
location = "New York, US",
publisher = "Springer US",
edition = "2nd ed.",
ISBN = "978-1-4939-1053-3",
doi = "10.1007/978-1-4939-1053-3\_20",
language = "english",
url = "https://www.fit.vut.cz/research/publication/10601"
}