Evidence map›Paper›PMID 11779830›Full record

ArticleGenome research2002

Systematic identification of novel protein domain families associated with nuclear functions.

Tobias Doerks, Richard R Copley, Jörg Schultz, Chris P Ponting, Peer Bork

Abstract readLetter
In one paragraph

Article in Genome research, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 301 papers.

0numbers the graph read from it
0cells of the map it votes in
301citing 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

301 citing papers in PubMed.

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  18. Review
  19. Unveiling the hemolymphatic miRNome composition of the schistosomiasis vector snailCurrent research in parasitology & vector-borne diseases · 2025
    Article
  20. Article

241 more citing papers are in PubMed but not listed here.

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

5 authors.

Tobias DoerksEuropean Molecular Biology Laboratory, 69114 Heidelberg, Germany. doerks@embl-heidelberg.de
Richard R Copley
Jörg Schultz
Chris P Ponting
Peer Bork

Funding

Wellcome Trust
6 · The paper itself

Abstract

A systematic computational analysis of protein sequences containing known nuclear domains led to the identification of 28 novel domain families. This represents a 26% increase in the starting set of 107 known nuclear domain families used for the analysis. Most of the novel domains are present in all major eukaryotic lineages, but 3 are species specific. For about 500 of the 1200 proteins that contain these new domains, nuclear localization could be inferred, and for 700, additional features could be predicted. For example, we identified a new domain, likely to have a role downstream of the unfolded protein response; a nematode-specific signalling domain; and a widespread domain, likely to be a noncatalytic homolog of ubiquitin-conjugating enzymes.

Indexed as

AmidohydrolasesAmino Acid MotifsAmino Acid SequenceAnimalsCaenorhabditis elegansCaenorhabditis elegans ProteinsCell NucleusDatabases, ProteinHumansMolecular Sequence DataMultigene FamilyNuclear ProteinsPeptide-N4-(N-acetyl-beta-glucosaminyl) Asparagine AmidasePhylogenyProtein Structure, TertiarySpecies SpecificityAmidohydrolasesCaenorhabditis elegans ProteinsNuclear ProteinsPeptide-N4-(N-acetyl-beta-glucosaminyl) Asparagine Amidase

Identifiers

PMID11779830
PMCPMC155265

What OpenQuestion holds

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Registered trials

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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.