Publication Details
FireProtASR: an automated woRKFLOW FOR ANCESTRAL SEQUENCE RECONSTRUCTION
Konegger Hannes
Štourač Jan (FIT)
Bednář David (FIT)
Damborský Jiří, prof. Mgr., Dr. (UMEL)
Proteins are widely used in numerous biomedical and biotechnological applications. However, naturally occurring proteins cannot usually withstand the harsh industrial environment, since they are evolved to function in mild conditions. Therefore, there is a great interest in increasing protein stability to enhance their applicability. Ancestral sequence reconstruction (ASR) is a well-established method for deducing the evolutionary history of genes or whole genomes. Besides of its ability to discover the potential evolutionary ancestors of the modern proteins, ASR has proven to be a useful approach to infer their highly thermostable variants as the environmental conditions of the Precambrian Earth were significantly more demanding. However, its wide applicability is currently restricted due to its complicated nature, demanding a profound knowledge and understanding of numerous tools and principles of the phylogenetic analysis. FireProtASR aims to overcome these obstacles by providing a fully automated computational pipeline, which would allow users to acquire ancestral sequences of their proteins of interest without the need of constructing multiple-sequence alignment or phylogenetic tree, commonly required by the existing tools for ASR. FireProtASR will be completed with the robust framework for annotation-based homology search and the algorithm for the selection of the most suitable outgroup.
@misc{BUT162279,
author="Miloš {Musil} and Hannes {Konegger} and Jan {Štourač} and David {Bednář} and Jiří {Damborský}",
title="FireProtASR: an automated woRKFLOW FOR ANCESTRAL SEQUENCE RECONSTRUCTION",
booktitle="ISMB/ECCB 2019",
year="2019",
pages="1",
address="Basilej",
url="https://www.fit.vut.cz/research/publication/12009/",
note="presentation, poster"
}