Cargando…

FireProt(ASR): A Web Server for Fully Automated Ancestral Sequence Reconstruction

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 seque...

Descripción completa

Detalles Bibliográficos
Autores principales: Musil, Milos, Khan, Rayyan Tariq, Beier, Andy, Stourac, Jan, Konegger, Hannes, Damborsky, Jiri, Bednar, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294521/
https://www.ncbi.nlm.nih.gov/pubmed/33346815
http://dx.doi.org/10.1093/bib/bbaa337
_version_ 1783725252716527616
author Musil, Milos
Khan, Rayyan Tariq
Beier, Andy
Stourac, Jan
Konegger, Hannes
Damborsky, Jiri
Bednar, David
author_facet Musil, Milos
Khan, Rayyan Tariq
Beier, Andy
Stourac, Jan
Konegger, Hannes
Damborsky, Jiri
Bednar, David
author_sort Musil, Milos
collection PubMed
description 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. FireProt(ASR) aims to overcome this obstacle by constructing a fully automated workflow, allowing even the unexperienced users to obtain ancestral sequences based on a sequence query as the only input. FireProt(ASR) is complemented with an interactive, easy-to-use web interface and is freely available at https://loschmidt.chemi.muni.cz/fireprotasr/.
format Online
Article
Text
id pubmed-8294521
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-82945212021-07-22 FireProt(ASR): A Web Server for Fully Automated Ancestral Sequence Reconstruction Musil, Milos Khan, Rayyan Tariq Beier, Andy Stourac, Jan Konegger, Hannes Damborsky, Jiri Bednar, David Brief Bioinform Problem Solving Protocol 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. FireProt(ASR) aims to overcome this obstacle by constructing a fully automated workflow, allowing even the unexperienced users to obtain ancestral sequences based on a sequence query as the only input. FireProt(ASR) is complemented with an interactive, easy-to-use web interface and is freely available at https://loschmidt.chemi.muni.cz/fireprotasr/. Oxford University Press 2020-12-21 /pmc/articles/PMC8294521/ /pubmed/33346815 http://dx.doi.org/10.1093/bib/bbaa337 Text en © The Author(s) 2020. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Problem Solving Protocol
Musil, Milos
Khan, Rayyan Tariq
Beier, Andy
Stourac, Jan
Konegger, Hannes
Damborsky, Jiri
Bednar, David
FireProt(ASR): A Web Server for Fully Automated Ancestral Sequence Reconstruction
title FireProt(ASR): A Web Server for Fully Automated Ancestral Sequence Reconstruction
title_full FireProt(ASR): A Web Server for Fully Automated Ancestral Sequence Reconstruction
title_fullStr FireProt(ASR): A Web Server for Fully Automated Ancestral Sequence Reconstruction
title_full_unstemmed FireProt(ASR): A Web Server for Fully Automated Ancestral Sequence Reconstruction
title_short FireProt(ASR): A Web Server for Fully Automated Ancestral Sequence Reconstruction
title_sort fireprot(asr): a web server for fully automated ancestral sequence reconstruction
topic Problem Solving Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294521/
https://www.ncbi.nlm.nih.gov/pubmed/33346815
http://dx.doi.org/10.1093/bib/bbaa337
work_keys_str_mv AT musilmilos fireprotasrawebserverforfullyautomatedancestralsequencereconstruction
AT khanrayyantariq fireprotasrawebserverforfullyautomatedancestralsequencereconstruction
AT beierandy fireprotasrawebserverforfullyautomatedancestralsequencereconstruction
AT stouracjan fireprotasrawebserverforfullyautomatedancestralsequencereconstruction
AT koneggerhannes fireprotasrawebserverforfullyautomatedancestralsequencereconstruction
AT damborskyjiri fireprotasrawebserverforfullyautomatedancestralsequencereconstruction
AT bednardavid fireprotasrawebserverforfullyautomatedancestralsequencereconstruction