Detail publikačního výsledku

FireProtASR: Web Server for Fully Automated Ancestral Sequence Reconstruction

MUSIL, M.; KHAN, R.; BEIER, A.; ŠTOURAČ, J.; KONEGGER, H.; DAMBORSKÝ, J.; BEDNÁŘ, D.

Originální název

FireProtASR: Web Server for Fully Automated Ancestral Sequence Reconstruction

Anglický název

FireProtASR: Web Server for Fully Automated Ancestral Sequence Reconstruction

Druh

Článek WoS

Originální abstrakt

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/.

Anglický abstrakt

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/.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

MUSIL, M.; KHAN, R.; BEIER, A.; ŠTOURAČ, J.; KONEGGER, H.; DAMBORSKÝ, J.; BEDNÁŘ, D.

Rok RIV

2021

Vydáno

29.04.2020

ISSN

1467-5463

Periodikum

BRIEFINGS IN BIOINFORMATICS

Svazek

22

Číslo

4

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

11

Strany počet

11

URL

https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbaa337/6042664

Plný text v Digitální knihovně

http://hdl.handle.net/

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"
}