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Cited by 2,399

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

InterPro in 2022

Open access
Paysan-Lafosse, Typhaine, Blum, Matthias, Chuguransky, Sara, Grego, Tiago, Pinto, Beatriz Lázaro, Salazar, Gustavo A, Bileschi, Maxwell L, Bork, Peer, Bridge, Alan, Colwell, Lucy, Gough, Julian, Haft, Daniel H, Letunić, Ivica, Marchler-Bauer, Aron, Mi, Huaiyu, Natale, Darren A, Orengo, Christine A, Pandurangan, Arun P, Rivoire, Catherine, Sigrist, Christian J A, Sillitoe, Ian, Thanki, Narmada, Thomas, Paul D, Tosatto, Silvio C E, Wu, Cathy H, Bateman, Alex·2023·Nucleic Acids Research
DOI 10.1093/nar/gkac993
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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.

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Citations

Cites

Show all 7 references

Research works printed but not linked: 24

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Cited by

Metadata

Authors
Paysan-Lafosse, T., Blum, M., Chuguransky, S., Grego, T., Pinto, B. L., Salazar, G. A., Bileschi, M. L., Bork, P., Bridge, A., Colwell, L., Gough, J., Haft, D. H., Letunić, I., Marchler-Bauer, A., Mi, H., Natale, D. A., Orengo, C. A., Pandurangan, A. P., Rivoire, C., Sigrist, C. J. A., Sillitoe, I., Thanki, N., Thomas, P. D., Tosatto, S. C. E., Wu, C. H., & Bateman, A.
Venue
Nucleic Acids Research
Publisher
Oxford University Press (OUP)
Published
2022-11-09
Volume
51
Issue
D1
Pages
D418-D427
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
DOI
10.1093/nar/gkac993
OpenAlex
W4308616064
Cited by
2,399
References
7
FWCI
150.47
Type
journal article
Language
en
Open access
gold
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
  • Wellcome Trust (108433/Z/15/Z, 221320/Z/20/Z)
  • Biotechnology and Biological Sciences Research Council (BB/T010541/1, BB/S020381/1)
  • National Institutes of Health (R35GM141873)
  • National Human Genome Research Institute (U24HG012212, U41HG002273)
  • National Science Foundation, Division of Biological Infrastructure (1661543, 1917302)
  • ELIXIR
  • Open Targets
  • European Molecular Biology Laboratory core funds
  • Wellcome Genome Campus
  • National Center for Biotechnology Information of the National Library of Medicine, National Institutes of Health
  • German Network for Bioinformatics Infrastructure
  • Swiss Institute of Bioinformatics
  • Swiss node of ELIXIR
  • State Secretariat for Education, Research and Innovation

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.