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This paper describes automated annotation experiments that quantify the predictive power and hence the biological relevance of the CluSTr data. The experiments utilized the UniProt data-mining framework to derive annotation predictions using combinations of InterPro and CluSTr. We show that this combination of data sources greatly increases the precision of predictions made by the data-mining framework, compared with the use of InterPro data alone. We conclude that the CluSTr approach to clustering proteins makes a valuable contribution to traditional protein classifications.<\/jats:p><jats:p>Availability: \u00a0http:\/\/www.ebi.ac.uk\/clustr\/<\/jats:p><jats:p>Contact: \u00a0rolf.apweiler@ebi.ac.uk<\/jats:p>","DOI":"10.1093\/bioinformatics\/bti542","type":"journal-article","created":{"date-parts":[[2005,6,17]],"date-time":"2005-06-17T00:36:34Z","timestamp":1118968594000},"page":"3604-3609","source":"Crossref","is-referenced-by-count":35,"title":["The predictive power of the CluSTr database"],"prefix":"10.1093","volume":"21","author":[{"given":"Robert","family":"Petryszak","sequence":"first","affiliation":[{"name":"EMBL Outstation Hinxton, The European Bioinformatics Institute (EBI) Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK"}]},{"given":"Ernst","family":"Kretschmann","sequence":"additional","affiliation":[{"name":"EMBL Outstation Hinxton, The European Bioinformatics Institute (EBI) Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK"}]},{"given":"Daniela","family":"Wieser","sequence":"additional","affiliation":[{"name":"EMBL Outstation Hinxton, The European Bioinformatics Institute (EBI) Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK"}]},{"given":"Rolf","family":"Apweiler","sequence":"additional","affiliation":[{"name":"EMBL Outstation Hinxton, The European Bioinformatics Institute (EBI) Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK"}]}],"member":"286","published-online":{"date-parts":[[2005,6,16]]},"reference":[{"key":"2023060912072844400_B1","doi-asserted-by":"crossref","unstructured":"Apweiler, R., et al. 2004UniProt: the Universal Protein knowledgebase. 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