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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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 |
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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 |
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