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

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Authors

MUSIL Miloš KHAN Rayyan Tariq BEIER Andy ŠTOURAČ Jan KONEGGER Hannes DAMBORSKÝ Jiří BEDNÁŘ David

Year of publication 2021
Type Article in Periodical
Magazine / Source Briefings in Bioinformatics
MU Faculty or unit

Faculty of Science

Citation
Web https://academic.oup.com/bib/article/22/4/bbaa337/6042664
Doi http://dx.doi.org/10.1093/bib/bbaa337
Keywords ancestral sequence reconstruction; ancestral enzymes; evolution; phylogeny-based analysis; protein stability
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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.
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