Evidence map›Paper›PMID 17202167›Full record

ArticleNucleic acids research2007

BRENDA, AMENDA and FRENDA: the enzyme information system in 2007.

Jens Barthelmes, Christian Ebeling, Antje Chang, Ida Schomburg, Dietmar Schomburg

Abstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. ReprogrammingmBio · 2026
    Article
  2. Enzyme Databases in the Era of Omics and Artificial Intelligence.International journal of molecular sciences · 2023
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Many InChIs and quite some feat.Journal of computer-aided molecular design · 2015
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Computational modeling of mitochondrial function.Methods in molecular biology (Clifton, N.J.) · 2012
    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

5 authors.

Jens BarthelmesInstitute of Biochemistry, University of Cologne, Zülpicher Strasse 47, 50674 Köln, Germany.
Christian Ebeling
Antje Chang
Ida Schomburg
Dietmar Schomburg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The BRENDA (BRaunschweig ENzyme DAtabase) enzyme information system (http://www.brenda.uni-koeln.de) is the largest publicly available enzyme information system worldwide. The major parts of its contents are manually extracted from primary literature. It is not restricted to specific groups of enzymes, but includes information on all identified enzymes irrespective of the enzyme's source. The range of data encompasses functional, structural, sequence, localisation, disease-related, isolation, stability information on enzyme and ligand-related data. Each single entry is linked to the enzyme source and to a literature reference. Recently the data repository was complemented by text-mining data in AMENDA (Automatic Mining of ENzyme DAta) and FRENDA (Full Reference ENzyme DAta). A genome browser, membrane protein prediction and full-text search capacities were added. The newly implemented web service provides instant access to the data for programmers via a SOAP (Simple Object Access Protocol) interface. The BRENDA data can be downloaded in the form of a text file from the beginning of 2007.

Indexed as

Databases, ProteinAnimalsEnzymesGenomicsHumansInternetMembrane ProteinsRatsSystems IntegrationUser-Computer InterfaceEnzymesMembrane Proteins

Identifiers

PMID17202167
PMCPMC1899097

What OpenQuestion holds

Textmetadata
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.