FireProtASR: A Web Server for Fully Automated Ancestral Sequence Reconstruction. Issue 4 (21st December 2020)

• Record Type: Journal Article
• Authors: Musil, Milos; Khan, Rayyan Tariq; Beier, Andy; Stourac, Jan; Konegger, Hannes; Damborsky, Jiri; Bednar, David
• Is Part Of: Briefings in bioinformatics. Volume 22:Issue 4(2021)
• Publication Date: 2020-12-21
• Subjects: ancestral sequence reconstruction -- ancestral enzymes -- evolution -- phylogeny-based analysis -- protein stability; Genetics -- Data processing -- Periodicals; Molecular biology -- Data processing -- Periodicals; Genomes -- Data processing -- Periodicals; 572.80285
• DOI: 10.1093/bib/bbaa337
• Languages: English
• ISSNs: 1467-5463

Abstract

Abstract: 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/ .