InterPro in 2022
Typhaine Paysan‐Lafossea✉, Matthias Bluma, Sara Chuguranskya, Tiago Gregoa, Beatriz Lázaro Pintoa, Gustavo A Salazara, Maxwell L. Bileschib, Peer Bork Bc d e, Alan James Bridgef, Lucy J. Colwellb g, Julian Goughh, Daniel H. Hafti, Ivica Letunićj, Aron Marchler‐Baueri, Huaiyu Mik, Darren A. Natalel, Christine Anne Orengom, Arun Prasad Panduranganh n, Catherine Rivoiref, Christian J A Sigristf, Ian Sillitoem, Narmada Thankii, Paul D. Thomask, Silvio C. E. Tosattoo, Cathy H. Wul p q, Alex G. Batemana
- aEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI) , Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
- bGoogle Research, Brain team , Cambridge , MA , USA
- cDepartment of Bioinformatics, Biocenter, University of Würzburg , 97074 Würzburg, Germany
- dEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit , Meyerhofstraße 1, 69117 Heidelberg , Germany
- eYonsei Frontier Lab (YFL), Yonsei University , 03722 Seoul, South Korea
- fSwiss-Prot Group, Swiss Institute of Bioinformatics , CMU, 1 rue Michel Servet, CH-1211, Geneva 4, Switzerland
- gDepartment of Chemistry, University of Cambridge , Cambridge , UK
- hMedical Research Council Laboratory of Molecular Biology, Cambridge Biomedical Campus , Francis Crick Ave, Trumpington, Cambridge CB2 0QH, UK
- iNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health , 8600 Rockville Pike, Bethesda , MD 20894 , USA
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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.
TL;DRRecent developments with InterPro (version 90.0) and its associated software are reported, including updates to data content and to the website, and the development of a card game as a method of engaging the non-scientific community. (Semantic Scholar)

