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DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web

Understanding the functions of proteins is crucial to understand biological processes on a molecular level. Many more protein sequences are available than can be investigated experimentally. DeepGOPlus is a protein function prediction method based on deep learning and sequence similarity. DeepGOWeb...

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Detalles Bibliográficos
Autores principales: Kulmanov, Maxat, Zhapa-Camacho, Fernando, Hoehndorf, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262746/
https://www.ncbi.nlm.nih.gov/pubmed/34019664
http://dx.doi.org/10.1093/nar/gkab373
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author Kulmanov, Maxat
Zhapa-Camacho, Fernando
Hoehndorf, Robert
author_facet Kulmanov, Maxat
Zhapa-Camacho, Fernando
Hoehndorf, Robert
author_sort Kulmanov, Maxat
collection PubMed
description Understanding the functions of proteins is crucial to understand biological processes on a molecular level. Many more protein sequences are available than can be investigated experimentally. DeepGOPlus is a protein function prediction method based on deep learning and sequence similarity. DeepGOWeb makes the prediction model available through a website, an API, and through the SPARQL query language for interoperability with databases that rely on Semantic Web technologies. DeepGOWeb provides accurate and fast predictions and ensures that predicted functions are consistent with the Gene Ontology; it can provide predictions for any protein and any function in Gene Ontology. DeepGOWeb is freely available at https://deepgo.cbrc.kaust.edu.sa/.
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spelling pubmed-82627462021-07-08 DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web Kulmanov, Maxat Zhapa-Camacho, Fernando Hoehndorf, Robert Nucleic Acids Res Web Server Issue Understanding the functions of proteins is crucial to understand biological processes on a molecular level. Many more protein sequences are available than can be investigated experimentally. DeepGOPlus is a protein function prediction method based on deep learning and sequence similarity. DeepGOWeb makes the prediction model available through a website, an API, and through the SPARQL query language for interoperability with databases that rely on Semantic Web technologies. DeepGOWeb provides accurate and fast predictions and ensures that predicted functions are consistent with the Gene Ontology; it can provide predictions for any protein and any function in Gene Ontology. DeepGOWeb is freely available at https://deepgo.cbrc.kaust.edu.sa/. Oxford University Press 2021-05-21 /pmc/articles/PMC8262746/ /pubmed/34019664 http://dx.doi.org/10.1093/nar/gkab373 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (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 Web Server Issue
Kulmanov, Maxat
Zhapa-Camacho, Fernando
Hoehndorf, Robert
DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web
title DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web
title_full DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web
title_fullStr DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web
title_full_unstemmed DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web
title_short DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web
title_sort deepgoweb: fast and accurate protein function prediction on the (semantic) web
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262746/
https://www.ncbi.nlm.nih.gov/pubmed/34019664
http://dx.doi.org/10.1093/nar/gkab373
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