InterPro: The integrative protein signature database

Sarah Hunter*, Rolf Apweiler, Teresa K. Attwood, Amos Bairoch, Alex Bateman, David Binns, Peer Bork, Ujjwal Das, Louise Daugherty, Lauranne Duquenne, Robert D. Finn, Julian Gough, Daniel Haft, Nicolas Hulo, Daniel Kahn, Elizabeth Kelly, Aurélie Laugraud, Ivica Letunic, David Lonsdale, Rodrigo LopezMartin Madera, John Maslen, Craig Mcanulla, Jennifer McDowall, Jaina Mistry, Alex Mitchell, Nicola Mulder, Darren Natale, Christine Orengo, Antony F. Quinn, Jeremy D. Selengut, Christian J.A. Sigrist, Manjula Thimma, Paul D. Thomas, Franck Valentin, Derek Wilson, Cathy H. Wu, Corin Yeats

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1233 Scopus citations

Abstract

The InterPro database (http://www.ebi.ac.uk/interpro/) integrates together predictive models or 'signatures' representing protein domains, families and functional sites from multiple, diverse source databases: Gene3D, PANTHER, Pfam, PIRSF, PRINTS, ProDom, PROSITE, SMART, SUPERFAMILY and TIGRFAMs. Integration is performed manually and approximately half of the total ∼ 58 000 signatures available in the source databases belong to an InterPro entry. Recently, we have started to also display the remaining un-integrated signatures via our web interface. Other developments include the provision of non-signature data, such as structural data, in new XML files on our FTP site, as well as the inclusion of matchless UniProtKB proteins in the existing match XML files. The web interface has been extended and now links out to the ADAN predicted protein-protein interaction database and the SPICE and Dasty viewers. The latest public release (v18.0) covers 79.8% of UniProtKB (v14.1) and consists of 16 549 entries. InterPro data may be accessed either via the web address above, via web services, by downloading files by anonymous FTP or by using the InterProScan search software (http://www.ebi.ac.uk/Tools/InterProScan/).

Original languageEnglish (US)
Pages (from-to)D211-D215
JournalNucleic acids research
Volume37
Issue numberSUPPL. 1
DOIs
StatePublished - Jan 9 2009

ASJC Scopus subject areas

  • Genetics

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