The InterPro protein families and domains database: 20 years on
Author(s) -
Matthias Blum,
Hsin-Yu Chang,
Sara Chuguransky,
Tiago Grego,
Swaathi Kandasaamy,
Alex Mitchell,
Gift Nuka,
Typhaine Paysan-Lafosse,
Matloob Qureshi,
Shriya Raj,
Lorna Richardson,
Gustavo A Salazar,
Lowri Williams,
Peer Bork,
Alan Bridge,
Julian Gough,
Daniel H. Haft,
Ivica Letunić,
Aron MarchlerBauer,
Huaiyu Mi,
Darren A. Natale,
Marco Necci,
Christine Orengo,
Arun Prasad Pandurangan,
Catherine Rivoire,
Christian Sigrist,
Ian Sillitoe,
Narmada Thanki,
Paul D. Thomas,
Silvio C. E. Tosatto,
Cathy Wu,
Alex Bateman,
ROBERT FINN
Publication year - 2020
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/gkaa977
Subject(s) - biology , computational biology , genetics , bioinformatics , evolutionary biology , database , computer science
The InterPro database (https://www.ebi.ac.uk/interpro/) provides an integrative classification of protein sequences into families, and identifies functionally important domains and conserved sites. InterProScan is the underlying software that allows protein and nucleic acid sequences to be searched against InterPro's signatures. Signatures are predictive models which describe protein families, domains or sites, and are provided by multiple databases. InterPro combines signatures representing equivalent families, domains or sites, and provides additional information such as descriptions, literature references and Gene Ontology (GO) terms, to produce a comprehensive resource for protein classification. Founded in 1999, InterPro has become one of the most widely used resources for protein family annotation. Here, we report the status of InterPro (version 81.0) in its 20th year of operation, and its associated software, including updates to database content, the release of a new website and REST API, and performance improvements in InterProScan.
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