Mapping proteins to disease terminologies: from UniProt to MeSH
<p>Abstract</p> <p>Background</p> <p>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 interoperabi...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2008-04-01
|
| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/9/S5/S3 |
| _version_ | 1818120327407861760 |
|---|---|
| author | Ruch Patrick Yip Yum L Mottaz Anaïs Veuthey Anne-Lise |
| author_facet | Ruch Patrick Yip Yum L Mottaz Anaïs Veuthey Anne-Lise |
| author_sort | Ruch Patrick |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusions</p> <p>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: <url>http://research.isb-sib.ch/unimed</url>.</p> |
| first_indexed | 2024-12-11T05:24:20Z |
| format | Article |
| id | doaj.art-90e124aa78c1424cb60cd927320559a3 |
| institution | Directory Open Access Journal |
| issn | 1471-2105 |
| language | English |
| last_indexed | 2024-12-11T05:24:20Z |
| publishDate | 2008-04-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Bioinformatics |
| spelling | doaj.art-90e124aa78c1424cb60cd927320559a32022-12-22T01:19:37ZengBMCBMC Bioinformatics1471-21052008-04-019Suppl 5S310.1186/1471-2105-9-S5-S3Mapping proteins to disease terminologies: from UniProt to MeSHRuch PatrickYip Yum LMottaz AnaïsVeuthey Anne-Lise<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusions</p> <p>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: <url>http://research.isb-sib.ch/unimed</url>.</p>http://www.biomedcentral.com/1471-2105/9/S5/S3 |
| spellingShingle | Ruch Patrick Yip Yum L Mottaz Anaïs Veuthey Anne-Lise Mapping proteins to disease terminologies: from UniProt to MeSH BMC Bioinformatics |
| 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 |
| url | http://www.biomedcentral.com/1471-2105/9/S5/S3 |
| work_keys_str_mv | AT ruchpatrick mappingproteinstodiseaseterminologiesfromuniprottomesh AT yipyuml mappingproteinstodiseaseterminologiesfromuniprottomesh AT mottazanais mappingproteinstodiseaseterminologiesfromuniprottomesh AT veutheyannelise mappingproteinstodiseaseterminologiesfromuniprottomesh |