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Mapping proteins to disease terminologies: from UniProt to MeSH
BACKGROUND: Although the UniProt KnowledgeBase is not a medical-oriented database, it contains information on more than 2,000 human proteins involved in pathologies. However, these annotations are not standardized, which impairs the interoperability between biological and clinical resources. In orde...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367626/ https://www.ncbi.nlm.nih.gov/pubmed/18460185 http://dx.doi.org/10.1186/1471-2105-9-S5-S3 |
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author | Mottaz, Anaïs Yip, Yum L Ruch, Patrick Veuthey, Anne-Lise |
author_facet | Mottaz, Anaïs Yip, Yum L Ruch, Patrick Veuthey, Anne-Lise |
author_sort | Mottaz, Anaïs |
collection | PubMed |
description | BACKGROUND: Although the UniProt KnowledgeBase is not a medical-oriented database, it contains information on more than 2,000 human proteins involved in pathologies. However, these annotations are not standardized, which impairs the interoperability between biological and clinical resources. In order to make these data easily accessible to clinical researchers, we have developed a procedure to link diseases described in the UniProtKB/Swiss-Prot entries to the MeSH disease terminology. RESULTS: We mapped disease names extracted either from the UniProtKB/Swiss-Prot entry comment lines or from the corresponding OMIM entry to the MeSH. Different methods were assessed on a benchmark set of 200 disease names manually mapped to MeSH terms. The performance of the retained procedure in term of precision and recall was 86% and 64% respectively. Using the same procedure, more than 3,000 disease names in Swiss-Prot were mapped to MeSH with comparable efficiency. CONCLUSIONS: This study is a first attempt to link proteins in UniProtKB to the medical resources. The indexing we provided will help clinicians and researchers navigate from diseases to genes and from genes to diseases in an efficient way. The mapping is available at: . |
format | Text |
id | pubmed-2367626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-23676262008-05-07 Mapping proteins to disease terminologies: from UniProt to MeSH Mottaz, Anaïs Yip, Yum L Ruch, Patrick Veuthey, Anne-Lise BMC Bioinformatics Proceedings BACKGROUND: Although the UniProt KnowledgeBase is not a medical-oriented database, it contains information on more than 2,000 human proteins involved in pathologies. However, these annotations are not standardized, which impairs the interoperability between biological and clinical resources. In order to make these data easily accessible to clinical researchers, we have developed a procedure to link diseases described in the UniProtKB/Swiss-Prot entries to the MeSH disease terminology. RESULTS: We mapped disease names extracted either from the UniProtKB/Swiss-Prot entry comment lines or from the corresponding OMIM entry to the MeSH. Different methods were assessed on a benchmark set of 200 disease names manually mapped to MeSH terms. The performance of the retained procedure in term of precision and recall was 86% and 64% respectively. Using the same procedure, more than 3,000 disease names in Swiss-Prot were mapped to MeSH with comparable efficiency. CONCLUSIONS: This study is a first attempt to link proteins in UniProtKB to the medical resources. The indexing we provided will help clinicians and researchers navigate from diseases to genes and from genes to diseases in an efficient way. The mapping is available at: . BioMed Central 2008-04-29 /pmc/articles/PMC2367626/ /pubmed/18460185 http://dx.doi.org/10.1186/1471-2105-9-S5-S3 Text en Copyright © 2008 Mottaz et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Proceedings Mottaz, Anaïs Yip, Yum L Ruch, Patrick Veuthey, Anne-Lise Mapping proteins to disease terminologies: from UniProt to MeSH |
title | Mapping proteins to disease terminologies: from UniProt to MeSH |
title_full | Mapping proteins to disease terminologies: from UniProt to MeSH |
title_fullStr | Mapping proteins to disease terminologies: from UniProt to MeSH |
title_full_unstemmed | Mapping proteins to disease terminologies: from UniProt to MeSH |
title_short | Mapping proteins to disease terminologies: from UniProt to MeSH |
title_sort | mapping proteins to disease terminologies: from uniprot to mesh |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367626/ https://www.ncbi.nlm.nih.gov/pubmed/18460185 http://dx.doi.org/10.1186/1471-2105-9-S5-S3 |
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