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Fully Automated Ancestral Sequence Reconstruction using FireProtASR

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APU138920" target="_blank" >RIV/00216305:26230/21:PU138920 - isvavai.cz</a>

  • Result on the web

    <a href="https://currentprotocols.onlinelibrary.wiley.com/doi/full/10.1002/cpz1.30" target="_blank" >https://currentprotocols.onlinelibrary.wiley.com/doi/full/10.1002/cpz1.30</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/cpz1.30" target="_blank" >10.1002/cpz1.30</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fully Automated Ancestral Sequence Reconstruction using FireProtASR

  • Original language description

    Protein evolution and protein engineering techniques are of great interest in basic science and industrial applications such as pharmacology, medicine, or biotechnology. Ancestral sequence reconstruction (ASR) is a powerful technique for probing evolutionary relationships and engineering robust proteins with good thermostability and broad substrate specificity. The following protocol describes the setting up and execution of an automated FireProtASR workflow using a dedicated web site. The service allows for inference of ancestral proteins automatically, from a single protein sequence. Once a protein sequence is submitted, the server will build a dataset of homology sequences, perform a multiple sequence alignment (MSA), build a phylogenetic tree, and reconstruct ancestral nodes. The protocol is also highly flexible and allows for multiple forms of input, advanced settings, and the ability to start jobs from: (i) a single sequence, (ii) a set of homologous sequences, (iii) an MSA, and (iv) a phylogenetic tree. This approach automates all necessary steps and offers a way for novices with limited exposure to ASR techniques to improve the properties of a protein of interest. The technique can even be used to introduce catalytic promiscuity into an enzyme. A web server for accessing the fully automated workflow is freely accessible at https://loschmidt.chemi.muni.cz/fireprotasr/

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Current Protocols in Bioinformatics

  • ISSN

    1934-3396

  • e-ISSN

    1934-340X

  • Volume of the periodical

    1

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    5

  • Pages from-to

    1-5

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85102178516