InterPro in 2022

Typhaine Paysan‐Lafosse(European Bioinformatics Institute), Matthias Blum(European Bioinformatics Institute), Sara Chuguransky(European Bioinformatics Institute), Tiago Grego(European Bioinformatics Institute), Beatriz Lázaro(European Bioinformatics Institute), Gustavo A Salazar(European Bioinformatics Institute), Maxwell L. Bileschi(Google (United States)), Peer Bork(Yonsei University), Alan Bridge(SIB Swiss Institute of Bioinformatics), Lucy J. Colwell(Google (United States)), Julian Gough(MRC Laboratory of Molecular Biology), Daniel H. Haft(National Institutes of Health), Ivica Letunić(Biobyte Solutions (Germany)), Aron Marchler‐Bauer(National Institutes of Health), Huaiyu Mi(University of Southern California), Darren A. Natale(Georgetown University), Christine Orengo(Institute of Structural and Molecular Biology), Arun Prasad Pandurangan(MRC Laboratory of Molecular Biology), Catherine Rivoire(SIB Swiss Institute of Bioinformatics), Christian J A Sigrist(SIB Swiss Institute of Bioinformatics), Ian Sillitoe(Institute of Structural and Molecular Biology), Narmada Thanki(National Institutes of Health), Paul D. Thomas(University of Southern California), Silvio C. E. Tosatto(University of Padua), Cathy Wu(Georgetown University), Alex Bateman(European Bioinformatics Institute)
Nucleic Acids Research
November 9, 2022
10.1093/nar/gkac993
Cited by 2,563Open Access
Full Text

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.

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