Journal article

MUSIL Miloš, ŠTOURAČ Jan, BENDL Jaroslav, BREZOVSKÝ Jan, PROKOP Zbyněk, ZENDULKA Jaroslav, MARTÍNEK Tomáš, BEDNÁŘ David and DAMBORSKÝ Jiří. FireProt: web server for automated design of thermostable proteins. Nucleic Acids Research. Oxford: Oxford University Press, 2017, vol. 2017, no. 45, pp. 393-399. ISSN 1362-4962.
Publication language:english
Original title:FireProt: web server for automated design of thermostable proteins
Title (cs):FireProt: web server pro automatizovaný návrh termostabilních proteinů
Journal:Nucleic Acids Research, Vol. 2017, No. 45, Oxford, GB
mutations, protein engineering, mutant proteins, protein stability, thermostable proteins
There is a continuous interest in increasing proteins stability to enhance their usability in numerous biomedical and biotechnological applications. A number of in silico tools for the prediction of the effect of mutations on protein stability have been developed recently. However, only single-point mutations with a small effect on protein stability are typically predicted with the existing tools and have to be followed by laborious protein expression, purification, and characterization. Here, we present FireProt, a web server for the automated design of multiplepoint thermostable mutant proteins that combines structural and evolutionary information in its calculation core. FireProt utilizes sixteen tools and three protein engineering strategies for making reliable protein designs. The server is complemented with interactive, easy-to-use interface that allows users to directly analyze and optionally modify designed thermostable mutants. FireProt is freely available at
   author = {Milo{\v{s}} Musil and Jan {\v{S}}toura{\v{c}} and
	Jaroslav Bendl and Jan Brezovsk{\'{y}} and
	Zbyn{\v{e}}k Prokop and Jaroslav Zendulka and
	Tom{\'{a}}{\v{s}} Mart{\'{i}}nek and David
	Bedn{\'{a}}{\v{r}} and Ji{\v{r}}{\'{i}}
   title = {FireProt: web server for automated design of
	thermostable proteins},
   pages = {393--399},
   journal = {Nucleic Acids Research},
   volume = 2017,
 number = 45,
   year = 2017,
   ISSN = {1362-4962},
   doi = {10.1093/nar/gkx285},
   language = {english},
   url = {}

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