Publication Details

FireProtASR: Web Server for Fully Automated Ancestral Sequence Reconstruction

MUSIL Miloš, KHAN Rayyan T., BEIER Andy, ŠTOURAČ Jan, KONEGGER Hannes, DAMBORSKÝ Jiří and BEDNÁŘ David. FireProtASR: Web Server for Fully Automated Ancestral Sequence Reconstruction. Briefings in Bioinformatics, vol. 22, no. 4, 2020, pp. 1-11. ISSN 1467-5463. Available from: https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbaa337/6042664
Czech title
FireProt-ASR: web server pro plně automatizovanou ancestrální rekonstrukci
Type
journal article
Language
english
Authors
Musil Miloš, Ing., Ph.D. (DIFS FIT BUT)
Khan Rayyan T., M.Sc. (LL)
Beier Andy, Dr. (LL)
Štourač Jan (LL)
Konegger Hannes (LL)
Damborský Jiří, prof. Mgr., Dr. (LL)
Bednář David, Mgr. (LL)
URL
Keywords

ancestral sequence reconstruction, ancestral enzymes,evolution, phylogeny-based analysis, protein stability

Abstract

There is a great interest in increasing proteins stability to widen their usability in numerous biomedical and biotechnological applications. However, native proteins cannot usually withstand the harsh industrial environment, since they are evolved to function under mild conditions. Ancestral sequence reconstruction is a well-established method for deducing the evolutionary history of genes. Besides its applicability to discover the most probable evolutionary ancestors of the modern proteins, ancestral sequence reconstruction has proven to be a useful approach for the design of highly stable proteins. Recently, several computational tools were developed, which make the ancestral reconstruction algorithms accessible to the community, while leaving the most crucial steps of the preparation of the input data on users side. FireProtASR aims to overcome this obstacle by constructing a fully automated workf low, allowing even the unexperienced users to obtain ancestral sequences based on a sequence query as the only input. FireProtASR is complemented with an interactive, easy-to-use web interface and is freely available at https://loschmidt.chemi.muni.cz/fireprotasr/.

Published
2020
Pages
1-11
Journal
Briefings in Bioinformatics, vol. 22, no. 4, ISSN 1467-5463
Publisher
Oxford University Press
DOI
10.1093/bib/bbaa337
UT WoS
000709466800097
EID Scopus
2-s2.0-85100417173
BibTeX 
@ARTICLE{FITPUB12271,
   author = "Milo\v{s} Musil and T. Rayyan Khan and Andy Beier and Jan \v{S}toura\v{c} and Hannes Konegger and Ji\v{r}\'{i} Damborsk\'{y} and David Bedn\'{a}\v{r}",
   title = "FireProtASR: Web Server for Fully Automated Ancestral Sequence Reconstruction",
   pages = "1--11",
   journal = "Briefings in Bioinformatics",
   volume = 22,
   number = 4,
   year = 2020,
   ISSN = "1467-5463",
   doi = "10.1093/bib/bbaa337",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12271"
}
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