FireProtASR: A Web Server for Fully Automated Ancestral Sequence Reconstruction

Authors

Musil, M., Khan, R. T., Beier, A., Stourac, J., Konegger, H., Damborsky, J., Bednar, D.

Source

BRIEFINGS IN BIOINFORMATICS 22: 1-11 (2021)

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. FireProtASR 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. FireProtASR is complemented with an interactive, easy-to-use web interface and is freely available at https://loschmidt.chemi.muni.cz/fireprotasr/.

Full text •  Supplement

Citation

Musil, M., Khan, R. T., Beier, A., Stourac, J., Konegger, H., Damborsky, J., Bednar, D., 2021: FireProtASR: A Web Server for Fully Automated Ancestral Sequence Reconstruction. Briefings in Bioinformatics 22: 1-11.

David to Participate in NGSchool2022
Stas to Present at AI for Enzyme Instructed Synthetic Catalysis
David to Present at XXV Biological Days
1st Droplet Sorting in LL
Jiri to Present at Business2Science
Prof. Bornscheuer to Give Lecture at MU
Dean’s Award for Pavel