InterPro in 2019: improving coverage, classification and access to protein sequence annotations

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ID: 294503
2018
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Abstract
The InterPro database (http://www.ebi.ac.uk/interpro/) classifies protein sequences into families and predicts the presence of functionally important domains and sites. Here, we report recent developments with InterPro (version 70.0) and its associated software, including an 18% growth in the size of the database in terms on new InterPro entries, updates to content, the inclusion of an additional entry type, refined modelling of discontinuous domains, and the development of a new programmatic interface and website. These developments extend and enrich the information provided by InterPro, and provide greater flexibility in terms of data access. We also show that InterPro's sequence coverage has kept pace with the growth of UniProtKB, and discuss how our evaluation of residue coverage may help guide future curation activities.
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Authors Alex Mitchell, Teresa K. Attwood, Patricia C. Babbitt, Matthias Blum, Peer Bork, Alan Bridge, Shoshana Brown, Hsin-Yu Chang, Sara El-Gebali, Matthew Fraser, Julian Gough, David R Haft, Hongzhan Huang, Ivica Letunić, Rodrigo López, Aurélien Luciani, Fábio Madeira, Aron Marchler‐Bauer, Huaiyu Mi, Darren A. Natale, Marco Necci, Gift Nuka, Christine Orengo, Arun Prasad Pandurangan, Typhaine Paysan-Lafosse, Sebastien Pesseat, Simon Potter, Matloob Qureshi, Neil D. Rawlings, Nicole Redaschi, Lorna Richardson, Catherine Rivoire, Gustavo A Salazar, Amaia Sangrador‐Vegas, Christian Sigrist, Ian Sillitoe, Granger G. Sutton, Narmada Thanki, Paul D. Thomas, Silvio C. E. Tosatto, Siew-Yit Yong, ROBERT FINN
Journal Nucleic Acids Research
Year 2018
DOI
10.1093/nar/gky1100
URL
https://academic.oup.com/nar/article-pdf/47/D1/D351/27437466/gky1100.pdf
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