InterPro in 2019: improving coverage, classification and access to protein sequence annotations
Author(s) -
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 MarchlerBauer,
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 SangradorVegas,
Christian Sigrist,
Ian Sillitoe,
Granger G. Sutton,
Narmada Thanki,
Paul D. Thomas,
Silvio C. E. Tosatto,
Siew-Yit Yong,
ROBERT FINN
Publication year - 2018
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gky1100
Subject(s) - uniprot , biology , computational biology , flexibility (engineering) , bioinformatics , genetics , gene , statistics , mathematics
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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