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FunTaxIS-lite: a simple and light solution to investigate protein functions in all living organisms
MOTIVATION: Defining the full domain of protein functions belonging to an organism is a complex challenge that is due to the huge heterogeneity of the taxonomy, where single or small groups of species can bear unique functional characteristics. FunTaxIS-lite provides a solution to this challenge by...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500080/ https://www.ncbi.nlm.nih.gov/pubmed/37672040 http://dx.doi.org/10.1093/bioinformatics/btad549 |
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author | Bianca, Federico Ispano, Emilio Gazzola, Ermanno Lavezzo, Enrico Fontana, Paolo Toppo, Stefano |
author_facet | Bianca, Federico Ispano, Emilio Gazzola, Ermanno Lavezzo, Enrico Fontana, Paolo Toppo, Stefano |
author_sort | Bianca, Federico |
collection | PubMed |
description | MOTIVATION: Defining the full domain of protein functions belonging to an organism is a complex challenge that is due to the huge heterogeneity of the taxonomy, where single or small groups of species can bear unique functional characteristics. FunTaxIS-lite provides a solution to this challenge by determining taxon-based constraints on Gene Ontology (GO) terms, which specify the functions that an organism can or cannot perform. The tool employs a set of rules to generate and spread the constraints across both the taxon hierarchy and the GO graph. RESULTS: The taxon-based constraints produced by FunTaxIS-lite extend those provided by the Gene Ontology Consortium by an average of 300%. The implementation of these rules significantly reduces errors in function predictions made by automatic algorithms and can assist in correcting inconsistent protein annotations in databases. AVAILABILITY AND IMPLEMENTATION: FunTaxIS-lite is available on https://www.medcomp.medicina.unipd.it/funtaxis-lite and from https://github.com/MedCompUnipd/FunTaxIS-lite. |
format | Online Article Text |
id | pubmed-10500080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105000802023-09-15 FunTaxIS-lite: a simple and light solution to investigate protein functions in all living organisms Bianca, Federico Ispano, Emilio Gazzola, Ermanno Lavezzo, Enrico Fontana, Paolo Toppo, Stefano Bioinformatics Applications Note MOTIVATION: Defining the full domain of protein functions belonging to an organism is a complex challenge that is due to the huge heterogeneity of the taxonomy, where single or small groups of species can bear unique functional characteristics. FunTaxIS-lite provides a solution to this challenge by determining taxon-based constraints on Gene Ontology (GO) terms, which specify the functions that an organism can or cannot perform. The tool employs a set of rules to generate and spread the constraints across both the taxon hierarchy and the GO graph. RESULTS: The taxon-based constraints produced by FunTaxIS-lite extend those provided by the Gene Ontology Consortium by an average of 300%. The implementation of these rules significantly reduces errors in function predictions made by automatic algorithms and can assist in correcting inconsistent protein annotations in databases. AVAILABILITY AND IMPLEMENTATION: FunTaxIS-lite is available on https://www.medcomp.medicina.unipd.it/funtaxis-lite and from https://github.com/MedCompUnipd/FunTaxIS-lite. Oxford University Press 2023-09-06 /pmc/articles/PMC10500080/ /pubmed/37672040 http://dx.doi.org/10.1093/bioinformatics/btad549 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Bianca, Federico Ispano, Emilio Gazzola, Ermanno Lavezzo, Enrico Fontana, Paolo Toppo, Stefano FunTaxIS-lite: a simple and light solution to investigate protein functions in all living organisms |
title | FunTaxIS-lite: a simple and light solution to investigate protein functions in all living organisms |
title_full | FunTaxIS-lite: a simple and light solution to investigate protein functions in all living organisms |
title_fullStr | FunTaxIS-lite: a simple and light solution to investigate protein functions in all living organisms |
title_full_unstemmed | FunTaxIS-lite: a simple and light solution to investigate protein functions in all living organisms |
title_short | FunTaxIS-lite: a simple and light solution to investigate protein functions in all living organisms |
title_sort | funtaxis-lite: a simple and light solution to investigate protein functions in all living organisms |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500080/ https://www.ncbi.nlm.nih.gov/pubmed/37672040 http://dx.doi.org/10.1093/bioinformatics/btad549 |
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