Evidence map›Paper›PMID 32399560›Full record

ArticleBioinformatics (Oxford, England)2020

UniRule: a unified rule resource for automatic annotation in the UniProt Knowledgebase.

Alistair MacDougall, Vladimir Volynkin, Rabie Saidi, Diego Poggioli, Hermann Zellner, Emma Hatton-Ellis, Vishal Joshi, Claire O'Donovan, Sandra Orchard, Andrea H Auchincloss and 21 more

Erratum issuedAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed.

  1. International journal of systematic and evolutionary microbiology · 2026
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  2. Dual-encoder contrastive learning accelerates enzyme discovery.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  5. The Gene Ontology knowledgebase in 2026.Nucleic acids research · 2026
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  6. Article
  7. Review
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  9. Article
  10. Protein functional site annotation using local structure embeddings.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
  12. C11orf54 catalyzes L-xylulose formation in human metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Biocatalytic Stereoselective Oxidation of 2-Arylindoles.Journal of the American Chemical Society · 2024
    Article
  18. Bioinformatics analysis and alternative polyadenylation in Heat Shock Proteins 70 (HSP70) family members.International journal of physiology, pathophysiology and pharmacology · 2024
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors.

Alistair MacDougallEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Vladimir VolynkinEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Rabie SaidiEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Diego PoggioliEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Hermann ZellnerEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Emma Hatton-EllisEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Vishal JoshiEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Claire O'DonovanEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Sandra OrchardEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Andrea H AuchinclossSIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211 Geneva 4, Switzerland.
Delphine BaratinSIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211 Geneva 4, Switzerland.
Jerven BollemanSIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211 Geneva 4, Switzerland.
Elisabeth CoudertSIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211 Geneva 4, Switzerland.
Edouard de CastroSIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211 Geneva 4, Switzerland.
Chantal HuloSIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211 Geneva 4, Switzerland.
Patrick MassonSIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211 Geneva 4, Switzerland.
Ivo PedruzziSIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211 Geneva 4, Switzerland.
Catherine RivoireSIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, CH-1211 Geneva 4, Switzerland.
Cecilia ArighiProtein Information Resource, University of Delaware, Newark, DE 19711, USA.
Qinghua WangProtein Information Resource, University of Delaware, Newark, DE 19711, USA.
Chuming ChenProtein Information Resource, University of Delaware, Newark, DE 19711, USA.
Hongzhan HuangProtein Information Resource, University of Delaware, Newark, DE 19711, USA.
John GaravelliProtein Information Resource, University of Delaware, Newark, DE 19711, USA.
C R VinayakaProtein Information Resource, Georgetown University Medical Center, Washington, DC 20007, USA.
Lai-Su YehProtein Information Resource, Georgetown University Medical Center, Washington, DC 20007, USA.
Darren A NataleProtein Information Resource, Georgetown University Medical Center, Washington, DC 20007, USA.
Kati LaihoProtein Information Resource, Georgetown University Medical Center, Washington, DC 20007, USA.
Maria-Jesus MartinEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Alexandre RenauxEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Klemens PichlerEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
UniProt Consortium

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI MELINDA K DUNCAN · 2012 to 2026
$67.2M
UniProt - Text Mining and Large Language models to Enhance Functional Annotation in UniProt of Protein Variants Associated with Alzheimer's DiseaseU24HG007822 · NHGRI · GEORGETOWN UNIVERSITY · PI Alex Bateman, Alan James Bridge · 2018 to 2026
$53.0M
Resource ProjectU41HG002273 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, PAUL D. · 2012 to 2021
$34.7M
PRO: A Protein Ontology in Open Biomedical OntologiesR01GM080646 · NIGMS · UNIVERSITY OF DELAWARE · PI WU, CATHY H. · 2007 to 2018
$8.9M
Linking Text Mining and Data Mining for Biomedical Knowledge DiscoveryG08LM010720 · NLM · UNIVERSITY OF DELAWARE · PI WU, CATHY H. · 2010 to 2012
$438k
British Heart Foundation RG/13/5/30112NHGRI NIH HHS U24 HG007822NHGRI NIH HHS U41 HG002273NIGMS NIH HHS P20 GM103446NIGMS NIH HHS R01 GM080646NLM NIH HHS G08 LM010720Parkinson's UK G-1307
6 · The paper itself

Abstract

motivationThe number of protein records in the UniProt Knowledgebase (UniProtKB: https://www.uniprot.org) continues to grow rapidly as a result of genome sequencing and the prediction of protein-coding genes. Providing functional annotation for these proteins presents a significant and continuing challenge.

resultsIn response to this challenge, UniProt has developed a method of annotation, known as UniRule, based on expertly curated rules, which integrates related systems (RuleBase, HAMAP, PIRSR, PIRNR) developed by the members of the UniProt consortium. UniRule uses protein family signatures from InterPro, combined with taxonomic and other constraints, to select sets of reviewed proteins which have common functional properties supported by experimental evidence. This annotation is propagated to unreviewed records in UniProtKB that meet the same selection criteria, most of which do not have (and are never likely to have) experimentally verified functional annotation. Release 2020_01 of UniProtKB contains 6496 UniRule rules which provide annotation for 53 million proteins, accounting for 30% of the 178 million records in UniProtKB. UniRule provides scalable enrichment of annotation in UniProtKB. AVAILABILITY AND IMPLEMENTATION: UniRule rules are integrated into UniProtKB and can be viewed at https://www.uniprot.org/unirule/. UniRule rules and the code required to run the rules, are publicly available for researchers who wish to annotate their own sequences. The implementation used to run the rules is known as UniFIRE and is available at https://gitlab.ebi.ac.uk/uniprot-public/unifire.

Indexed as

Knowledge BasesProteinsChromosome MappingDatabases, ProteinMolecular Sequence AnnotationProteins

Identifiers

PMID32399560
PMCPMC7750954

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.