Evidence map›Paper›PMID 22434837›Full record

ArticleDatabase : the journal of biological databases and curation2012

AntiFam: a tool to help identify spurious ORFs in protein annotation.

Ruth Y Eberhardt, Daniel H Haft, Marco Punta, Maria Martin, Claire O'Donovan, Alex Bateman

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Draft genome ofMicrobiology resource announcements · 2026
    Article
  6. Testing the reliability of AI-generated protein structures.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ruth Y EberhardtWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SA. UK. re3@sanger.ac.uk
Daniel H Haft
Marco Punta
Maria Martin
Claire O'Donovan
Alex Bateman

Funding

Algorithmically-Tuned Protein Families, Rule_Base and Characterized ProteinsR01HG004881 · NHGRI · J. CRAIG VENTER INSTITUTE, INC. · PI HAFT, DANIEL H. · 2008 to 2010
$1.6M
NHGRI NIH HHS R01 HG004881NHGRI NIH HHS R01 HG004881).Wellcome Trust WT077044/Z/05/Z
6 · The paper itself

Abstract

As the deluge of genomic DNA sequence grows the fraction of protein sequences that have been manually curated falls. In turn, as the number of laboratories with the ability to sequence genomes in a high-throughput manner grows, the informatics capability of those labs to accurately identify and annotate all genes within a genome may often be lacking. These issues have led to fears about transitive annotation errors making sequence databases less reliable. During the lifetime of the Pfam protein families database a number of protein families have been built, which were later identified as composed solely of spurious open reading frames (ORFs) either on the opposite strand or in a different, overlapping reading frame with respect to the true protein-coding or non-coding RNA gene. These families were deleted and are no longer available in Pfam. However, we realized that these may perform a useful function to identify new spurious ORFs. We have collected these families together in AntiFam along with additional custom-made families of spurious ORFs. This resource currently contains 23 families that identified 1310 spurious proteins in UniProtKB and a further 4119 spurious proteins in a collection of metagenomic sequences. UniProt has adopted AntiFam as a part of the UniProtKB quality control process and will investigate these spurious proteins for exclusion.

Indexed as

Databases, ProteinMolecular Sequence AnnotationOpen Reading FramesAmino Acid SequenceComputational BiologyHumansMolecular Sequence DataProteinsSequence AlignmentSoftwareProteins

Identifiers

PMID22434837
PMCPMC3308159

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.