InterPro

Database of protein families, domains and functional sites / From Wikipedia, the free encyclopedia

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InterPro is a database of protein families, protein domains and functional sites in which identifiable features found in known proteins can be applied to new protein sequences[2] in order to functionally characterise them.[3][4]

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InterPro
InterPro_logo.png
Content
DescriptionInterPro functionally analyzes protein sequences and classifies them into protein families while predicting the presence of domains and functional sites.
Contact
Research centerEMBL
LaboratoryEuropean Bioinformatics Institute
Primary citationThe InterPro protein families and domains database: 20 years on[1]
Release date1999
Access
Websitewww.ebi.ac.uk/interpro/
Download URLftp.ebi.ac.uk/pub/databases/interpro/
Miscellaneous
Data release
frequency
8-weekly
Version91.0 (13 October 2022; 5 months ago (2022-10-13))
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The contents of InterPro consist of diagnostic signatures and the proteins that they significantly match. The signatures consist of models (simple types, such as regular expressions or more complex ones, such as Hidden Markov models) which describe protein families, domains or sites. Models are built from the amino acid sequences of known families or domains and they are subsequently used to search unknown sequences (such as those arising from novel genome sequencing) in order to classify them. Each of the member databases of InterPro contributes towards a different niche, from very high-level, structure-based classifications (SUPERFAMILY and CATH-Gene3D) through to quite specific sub-family classifications (PRINTS and PANTHER).

InterPro's intention is to provide a one-stop-shop for protein classification, where all the signatures produced by the different member databases are placed into entries within the InterPro database. Signatures which represent equivalent domains, sites or families are put into the same entry and entries can also be related to one another. Additional information such as a description, consistent names and Gene Ontology (GO) terms are associated with each entry, where possible.