InterPro in 2011: new developments in the family and domain prediction database

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ID: 298651
2011
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Abstract
InterPro (http://www.ebi.ac.uk/interpro/) is a database that integrates diverse information about protein families, domains and functional sites, and makes it freely available to the public via Web-based interfaces and services. Central to the database are diagnostic models, known as signatures, against which protein sequences can be searched to determine their potential function. InterPro has utility in the large-scale analysis of whole genomes and meta-genomes, as well as in characterizing individual protein sequences. Herein we give an overview of new developments in the database and its associated software since 2009, including updates to database content, curation processes and Web and programmatic interfaces.
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Authors Sarah Hunter, P. Jones, Alex Mitchell, Rolf Apweiler, Teresa K. Attwood, Alex Bateman, Thomas Bernard, David Binns, Peer Bork, Sarah Burge, Edouard de Castro, P. Coggill, M. Corbett, Ujjwal Das, Louise C. Daugherty, L. Duquenne, ROBERT FINN, Matthew Fraser, Julian Gough, Daniel H. Haft, Nicolas Hulo, Daniel Kahn, Elizabeth A. Kelly, Ivica Letunić, D. Lonsdale, Rodrigo López, M. Madera, J. Maslen, C. McAnulla, J. McDowall, C. McMenamin, Huaiyu Mi, Prudence Mutowo, Nicola Mulder, Darren A. Natale, Christine Orengo, Sebastien Pesseat, Marco Punta, A. F. Quinn, Catherine Rivoire, Amaia Sangrador‐Vegas, Jeremy Selengut, Christian Sigrist, Maxim Scheremetjew, John Tate, M. Thimmajanarthanan, Paul D. Thomas, Cathy Wu, C. Yeats, Siew-Yit Yong
Journal Nucleic Acids Research
Year 2011
DOI
10.1093/nar/gkr948
URL
https://academic.oup.com/nar/article-pdf/40/D1/D306/9483099/gkr948.pdf
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