Title |
FireProt: web server for automated design of thermostable proteins
|
---|---|
Published in |
Nucleic Acids Research, April 2017
|
DOI | 10.1093/nar/gkx285 |
Pubmed ID | |
Authors |
Milos Musil, Jan Stourac, Jaroslav Bendl, Jan Brezovsky, Zbynek Prokop, Jaroslav Zendulka, Tomas Martinek, David Bednar, Jiri Damborsky |
Abstract |
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 multiple-point 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 http://loschmidt.chemi.muni.cz/fireprot. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 13% |
Netherlands | 1 | 13% |
Czechia | 1 | 13% |
Unknown | 5 | 63% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Scientists | 3 | 38% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 199 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 41 | 21% |
Student > Bachelor | 28 | 14% |
Researcher | 28 | 14% |
Student > Master | 17 | 9% |
Student > Doctoral Student | 8 | 4% |
Other | 14 | 7% |
Unknown | 63 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 67 | 34% |
Agricultural and Biological Sciences | 24 | 12% |
Chemistry | 13 | 7% |
Chemical Engineering | 6 | 3% |
Computer Science | 5 | 3% |
Other | 16 | 8% |
Unknown | 68 | 34% |