Evidence map›Paper›PMID 11125133›Full record

ArticleNucleic acids research2001

Collecting and harvesting biological data: the GPCRDB and NucleaRDB information systems.

F Horn, G Vriend, F E Cohen

Abstract read
In one paragraph

Article in Nucleic acids research, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
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  8. Top-down clustering for protein subfamily identification.Evolutionary bioinformatics online · 2013
    Article
  9. Article
  10. Article
  11. Article
  12. Chemical structural novelty: on-targets and off-targets.Journal of medicinal chemistry · 2011
    Article
  13. Review
  14. Article
  15. PROFESS: a PROtein function, evolution, structure and sequence database.Database : the journal of biological databases and curation · 2010
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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.

F HornDepartment of Cellular and Molecular Pharmacology, UCSF, Box 0450, San Francisco, CA 94143-0450, USA. horn@cmpharm.ucsf.edu
G Vriend
F E Cohen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The amount of genomic and proteomic data that is entered each day into databases and the experimental literature is outstripping the ability of experimental scientists to keep pace. While generic databases derived from automated curation efforts are useful, most biological scientists tend to focus on a class or family of molecules and their biological impact. Consequently, there is a need for molecular class-specific or other specialized databases. Such databases collect and organize data around a single topic or class of molecules. If curated well, such systems are extremely useful as they allow experimental scientists to obtain a large portion of the available data most relevant to their needs from a single source. We are involved in the development of two such databases with substantial pharmacological relevance. These are the GPCRDB and NucleaRDB information systems, which collect and disseminate data related to G protein-coupled receptors and intra-nuclear hormone receptors, respectively. The GPCRDB was a pilot project aimed at building a generic molecular class-specific database capable of dealing with highly heterogeneous data. A first version of the GPCRDB project has been completed and it is routinely used by thousands of scientists. The NucleaRDB was started recently as an application of the concept for the generalization of this technology. The GPCRDB is available via the WWW at http://www.gpcr.org/7tm/ and the NucleaRDB at http://www.receptors.org/NR/.

Indexed as

Databases, FactualBinding, CompetitiveGTP-Binding ProteinsInformation Storage and RetrievalInternetLigandsMutationReceptors, Cell SurfaceReceptors, Cytoplasmic and NuclearSequence AlignmentGTP-Binding ProteinsLigandsReceptors, Cell SurfaceReceptors, Cytoplasmic and Nuclear

Identifiers

PMID11125133
PMCPMC29816

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.