Publication Details

FireProtASR: Web Server for Fully Automated Ancestral Sequence Reconstruction

MUSIL, M.; KHAN, R.; BEIER, A.; ŠTOURAČ, J.; KONEGGER, H.; DAMBORSKÝ, J.; BEDNÁŘ, D. FireProtASR: Web Server for Fully Automated Ancestral Sequence Reconstruction. BRIEFINGS IN BIOINFORMATICS, 2020, vol. 22, no. 4, p. 1-11. ISSN: 1467-5463.
Czech title
FireProt-ASR: web server pro plně automatizovanou ancestrální rekonstrukci
Type
journal article
Language
English
Authors
Musil Miloš, Ing., Ph.D. (DIFS)
Khan Rayyan
Beier Andy, Dr.
Štourač Jan
Konegger Hannes
Damborský Jiří, prof. Mgr., Dr. (UMEL)
Bednář David
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
DOI
UT WoS
000709466800097
EID Scopus
BibTeX
@article{BUT168160,
  author="Miloš {Musil} and Rayyan {Khan} and Andy {Beier} and Jan {Štourač} and Hannes {Konegger} and Jiří {Damborský} and David {Bednář}",
  title="FireProtASR: Web Server for Fully Automated Ancestral Sequence Reconstruction",
  journal="BRIEFINGS IN BIOINFORMATICS",
  year="2020",
  volume="22",
  number="4",
  pages="1--11",
  doi="10.1093/bib/bbaa337",
  issn="1467-5463",
  url="https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbaa337/6042664"
}
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