FireProtASR: Web Server for Fully Automated Ancestral Sequence Reconstruction
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APU138651" target="_blank" >RIV/00216305:26230/20:PU138651 - isvavai.cz</a>
Výsledek na webu
<a href="https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbaa337/6042664" target="_blank" >https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbaa337/6042664</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/bib/bbaa337" target="_blank" >10.1093/bib/bbaa337</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
FireProtASR: Web Server for Fully Automated Ancestral Sequence Reconstruction
Popis výsledku v původním jazyce
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/.
Název v anglickém jazyce
FireProtASR: Web Server for Fully Automated Ancestral Sequence Reconstruction
Popis výsledku anglicky
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/.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
BRIEFINGS IN BIOINFORMATICS
ISSN
1467-5463
e-ISSN
1477-4054
Svazek periodika
0000
Číslo periodika v rámci svazku
0000
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
11
Strana od-do
1-11
Kód UT WoS článku
000709466800097
EID výsledku v databázi Scopus
2-s2.0-85100417173