Detail výsledku
FireProtASR: Web Server for Fully Automated Ancestral Sequence Reconstruction
Khan Rayyan
Beier Andy, Dr.
Štourač Jan, FIT (FIT)
Konegger Hannes
Damborský Jiří, prof. Mgr., Dr., UMEL (FEKT)
Bednář David, FIT (FIT)
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/.
ancestral sequence reconstruction, ancestral enzymes,evolution, phylogeny-based analysis, protein stability
@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"
}