InterPro in 2017—beyond protein family and domain annotations

ROBERT FINN(European Bioinformatics Institute), Teresa K. Attwood(University of Manchester), Patricia C. Babbitt(University of California, San Francisco), Alex Bateman(European Bioinformatics Institute), Peer Bork(European Molecular Biology Laboratory), Alan Bridge(SIB Swiss Institute of Bioinformatics), Hsin-Yu Chang(European Bioinformatics Institute), Zsuzsanna Dosztányi(Eötvös Loránd University), Sara El-Gebali(European Bioinformatics Institute), Matthew Fraser(European Bioinformatics Institute), Julian Gough(University of Bristol), David R Haft(J. Craig Venter Institute), Gemma L. Holliday(University of California, San Francisco), Hongzhan Huang(University of Delaware), Xiaosong Huang(University of Southern California), Ivica Letunić(Biobyte Solutions (Germany)), Rodrigo López(European Bioinformatics Institute), Shennan Lu(National Center for Biotechnology Information), Aron Marchler‐Bauer(National Center for Biotechnology Information), Huaiyu Mi(University of Southern California), Jaina Mistry(European Bioinformatics Institute), Darren A. Natale(Georgetown University), Marco Necci(University of Padua), Gift Nuka(European Bioinformatics Institute), Christine Orengo(Institute of Structural and Molecular Biology), Young Mi Park(European Bioinformatics Institute), Sebastien Pesseat(European Bioinformatics Institute), Damiano Piovesan(University of Padua), Simon Potter(European Bioinformatics Institute), Neil D. Rawlings(European Bioinformatics Institute), Nicole Redaschi(SIB Swiss Institute of Bioinformatics), Lorna Richardson(European Bioinformatics Institute), Catherine Rivoire(SIB Swiss Institute of Bioinformatics), Amaia Sangrador‐Vegas(European Bioinformatics Institute), Christian J A Sigrist(SIB Swiss Institute of Bioinformatics), Ian Sillitoe(Institute of Structural and Molecular Biology), Ben Smithers(University of Bristol), Silvano Squizzato(European Bioinformatics Institute), Granger Sutton(J. Craig Venter Institute), Narmada Thanki(National Center for Biotechnology Information), Paul D. Thomas(University of Southern California), Silvio C. E. Tosatto(University of Padua), Cathy Wu(University of Delaware), Ioannis Xénarios(SIB Swiss Institute of Bioinformatics), Lai-Su Yeh(Georgetown University), Siew-Yit Young(European Bioinformatics Institute), Alex Mitchell(European Bioinformatics Institute)
Nucleic Acids Research
October 27, 2016
10.1093/nar/gkw1107
Cited by 1,557Open Access
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Abstract

InterPro (http://www.ebi.ac.uk/interpro/) is a freely available database used to classify protein sequences into families and to predict the presence of important domains and sites. InterProScan is the underlying software that allows both protein and nucleic acid sequences to be searched against InterPro's predictive models, which are provided by its member databases. Here, we report recent developments with InterPro and its associated software, including the addition of two new databases (SFLD and CDD), and the functionality to include residue-level annotation and prediction of intrinsic disorder. These developments enrich the annotations provided by InterPro, increase the overall number of residues annotated and allow more specific functional inferences.

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