| Literature DB >> 33156333 |
Matthias Blum1, Hsin-Yu Chang1, Sara Chuguransky1, Tiago Grego1, Swaathi Kandasaamy1, Alex Mitchell1, Gift Nuka1, Typhaine Paysan-Lafosse1, Matloob Qureshi1, Shriya Raj1, Lorna Richardson1, Gustavo A Salazar1, Lowri Williams1, Peer Bork2, Alan Bridge3, Julian Gough4, Daniel H Haft5, Ivica Letunic6, Aron Marchler-Bauer5, Huaiyu Mi7, Darren A Natale8, Marco Necci9, Christine A Orengo10, Arun P Pandurangan4, Catherine Rivoire3, Christian J A Sigrist3, Ian Sillitoe10, Narmada Thanki5, Paul D Thomas7, Silvio C E Tosatto9, Cathy H Wu8, Alex Bateman1, Robert D Finn1.
Abstract
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.Entities:
Year: 2021 PMID: 33156333 PMCID: PMC7778928 DOI: 10.1093/nar/gkaa977
Source DB: PubMed Journal: Nucleic Acids Res ISSN: 0305-1048 Impact factor: 16.971