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InterPro in 2022

Authors :
Typhaine Paysan-Lafosse
Matthias Blum
Sara Chuguransky
Tiago Grego
Beatriz Lázaro Pinto
Gustavo A Salazar
Maxwell L Bileschi
Peer Bork
Alan Bridge
Lucy Colwell
Julian Gough
Daniel H Haft
Ivica Letunić
Aron Marchler-Bauer
Huaiyu Mi
Darren A Natale
Christine A Orengo
Arun P Pandurangan
Catherine Rivoire
Christian J A Sigrist
Ian Sillitoe
Narmada Thanki
Paul D Thomas
Silvio C E Tosatto
Cathy H Wu
Alex Bateman
Source :
Nucleic Acids Research. 51:D418-D427
Publication Year :
2022
Publisher :
Oxford University Press (OUP), 2022.

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. Here, we report recent developments with InterPro (version 90.0) and its associated software, including updates to data content and to the website. These developments extend and enrich the information provided by InterPro, and provide a more user friendly access to the data. Additionally, we have worked on adding Pfam website features to the InterPro website, as the Pfam website will be retired in late 2022. We also show that InterPro's sequence coverage has kept pace with the growth of UniProtKB. Moreover, we report the development of a card game as a method of engaging the non-scientific community. Finally, we discuss the benefits and challenges brought by the use of artificial intelligence for protein structure prediction.

Subjects

Subjects :
Genetics

Details

ISSN :
13624962 and 03051048
Volume :
51
Database :
OpenAIRE
Journal :
Nucleic Acids Research
Accession number :
edsair.doi.dedup.....153bbcbf1ab56d7f060b0d1aec9c1f19
Full Text :
https://doi.org/10.1093/nar/gkac993