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The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

The InterPro protein families database: the classification resource after 15 years

Open access
Mitchell, Alex, Chang, Hsin-Yu, Daugherty, Louise, Fraser, Matthew, Hunter, Sarah, Lopez, Rodrigo, McAnulla, Craig, McMenamin, Conor, Nuka, Gift, Pesseat, Sebastien, Sangrador-Vegas, Amaia, Scheremetjew, Maxim, Rato, Claudia, Yong, Siew-Yit, Bateman, Alex, Punta, Marco, Attwood, Teresa K., Sigrist, Christian J.A., Redaschi, Nicole, Rivoire, Catherine, Xenarios, Ioannis, Kahn, Daniel, Guyot, Dominique, Bork, Peer, Letunic, Ivica, Gough, Julian, Oates, Matt, Haft, Daniel, Huang, Hongzhan, Natale, Darren A., Wu, Cathy H., Orengo, Christine, Sillitoe, Ian, Mi, Huaiyu, Thomas, Paul D., Finn, Robert D.·2015·Nucleic Acids Research

Abstract

The InterPro database (http://www.ebi.ac.uk/interpro/) is a freely available resource that can be used to classify sequences into protein families and to predict the presence of important domains and sites. Central to the InterPro database are predictive models, known as signatures, from a range of different protein family databases that have different biological focuses and use different methodological approaches to classify protein families and domains. InterPro integrates these signatures, capitalizing on the respective strengths of the individual databases, to produce a powerful protein classification resource. Here, we report on the status of InterPro as it enters its 15th year of operation, and give an overview of new developments with the database and its associated Web interfaces and software. In particular, the new domain architecture search tool is described and the process of mapping of Gene Ontology terms to InterPro is outlined. We also discuss the challenges faced by the resource given the explosive growth in sequence data in recent years. InterPro (version 48.0) contains 36,766 member database signatures integrated into 26,238 InterPro entries, an increase of over 3993 entries (5081 signatures), since 2012.

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Authors
Mitchell, A., Chang, H.-Y., Daugherty, L., Fraser, M., Hunter, S., Lopez, R., McAnulla, C., McMenamin, C., Nuka, G., Pesseat, S., Sangrador-Vegas, A., Scheremetjew, M., Rato, C., Yong, S.-Y., Bateman, A., Punta, M., Attwood, T. K., Sigrist, C. J. A., Redaschi, N., Rivoire, C., Xenarios, I., Kahn, D., Guyot, D., Bork, P., Letunic, I., Gough, J., Oates, M., Haft, D., Huang, H., Natale, D. A., Wu, C. H., Orengo, C., Sillitoe, I., Mi, H., Thomas, P. D., & Finn, R. D.
Venue
Nucleic Acids Research
Published
2014-11-26
Volume
43
Issue
D1
Pages
D213-D221
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2164461702
Cited by
1,274
References
3
FWCI
79.34
Type
journal article
Language
en
Open access
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