Evidence map›Paper›PMID 12520032›Full record

ArticleNucleic acids research2003

NLSdb: database of nuclear localization signals.

Rajesh Nair, Phil Carter, Burkhard Rost

Abstract read
In one paragraph

Article in Nucleic acids research, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
  6. Article
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  8. Review
  9. Article
  10. Article
  11. Article
  12. Karyopherin-mediated nucleocytoplasmic transport.Nature reviews. Molecular cell biology · 2022
    Review
  13. Frontiers in cellular and infection microbiology · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

11 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

3 authors.

Rajesh NairCUBIC, Department of Biochemistry and Molecular Biophysics, Columbia University, BB217, 650 West 168th Street, New York, NY 10032, USA. nair@cubic.bioc.columbia.edu
Phil Carter
Burkhard Rost

Funding

STRUCTURAL GENOMICS OF EUKARYOTIC MODEL ORGANISMSP50GM062413 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI MONTELIONE, GAETANO T · 2000 to 2004
$33.5M
NIGMS NIH HHS 1-P50-GM62413-01NIGMS NIH HHS P50 GM062413
6 · The paper itself

Abstract

NLSdb is a database of nuclear localization signals (NLSs) and of nuclear proteins. NLSs are short stretches of residues mediating transport of nuclear proteins into the nucleus. The database contains 114 experimentally determined NLSs that were obtained through an extensive literature search. Using 'in silico mutagenesis' this set was extended to 308 experimental and potential NLSs. This final set matched over 43% of all known nuclear proteins and matches no currently known non-nuclear protein. NLSdb contains over 6000 predicted nuclear proteins and their targeting signals from the PDB and SWISS-PROT/TrEMBL databases. The database also contains over 12 500 predicted nuclear proteins from six entirely sequenced eukaryotic proteomes (Homo sapiens, Mus musculus, Drosophila melanogaster, Caenorhabditis elegans, Arabidopsis thaliana and Saccharomyces cerevisiae). NLS motifs often co-localize with DNA-binding regions. This observation was used to also annotate over 1500 DNA-binding proteins. NLSdb can be accessed via the web site: http://cubic.bioc.columbia.edu/db/NLSdb/.

Indexed as

Databases, ProteinNuclear Localization SignalsActive Transport, Cell NucleusAnimalsHumansMiceNuclear ProteinsProteomeNuclear Localization SignalsNuclear ProteinsProteome

Identifiers

PMID12520032
PMCPMC165448

What OpenQuestion holds

Textmetadata
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.