Evidence map›Paper›PMID 25378310›Full record

ArticleNucleic acids research2015

BRENDA in 2015: exciting developments in its 25th year of existence.

Antje Chang, Ida Schomburg, Sandra Placzek, Lisa Jeske, Marcus Ulbrich, Mei Xiao, Christoph W Sensen, Dietmar Schomburg

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing 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

88 citing papers in PubMed.

  1. International journal of nanomedicine · 2026
    Article
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  4. AI-Driven Enhancements in Drug Screening and Optimization.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  5. Article
  6. Enzyme Databases in the Era of Omics and Artificial Intelligence.International journal of molecular sciences · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. A protocol for dynamic model calibration.Briefings in bioinformatics · 2022
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. From Data Mining ofMicroorganisms · 2021
    Article
  16. Article
  17. WormPaths:bioRxiv : the preprint server for biology · 2020
    Article
  18. Article
  19. Article
  20. Article

28 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

8 authors.

Antje ChangDepartment of Bioinformatics and Biochemistry, Technische Universität Braunschweig, Langer Kamp 19 B, D-38106 Braunschweig, Germany.
Ida SchomburgDepartment of Bioinformatics and Biochemistry, Technische Universität Braunschweig, Langer Kamp 19 B, D-38106 Braunschweig, Germany.
Sandra PlaczekDepartment of Bioinformatics and Biochemistry, Technische Universität Braunschweig, Langer Kamp 19 B, D-38106 Braunschweig, Germany.
Lisa JeskeDepartment of Bioinformatics and Biochemistry, Technische Universität Braunschweig, Langer Kamp 19 B, D-38106 Braunschweig, Germany.
Marcus UlbrichDepartment of Bioinformatics and Biochemistry, Technische Universität Braunschweig, Langer Kamp 19 B, D-38106 Braunschweig, Germany.
Mei XiaoDepartment of Biochemistry & Molecular Biology, Faculty of Medicine, University of Calgary, 3330 Hospital Drive N.W., Calgary, Alberta T2N 4N1, Canada.
Christoph W SensenThe Jackson Laboratory, 263 Farmington Avenue, Farmington, CT 06030, USA.
Dietmar SchomburgDepartment of Bioinformatics and Biochemistry, Technische Universität Braunschweig, Langer Kamp 19 B, D-38106 Braunschweig, Germany d.schomburg@tu-bs.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The BRENDA enzyme information system (http://www.brenda-enzymes.org/) has developed into an elaborate system of enzyme and enzyme-ligand information obtained from different sources, combined with flexible query systems and evaluation tools. The information is obtained by manual extraction from primary literature, text and data mining, data integration, and prediction algorithms. Approximately 300 million data include enzyme function and molecular data from more than 30,000 organisms. The manually derived core contains 3 million data from 77,000 enzymes annotated from 135,000 literature references. Each entry is connected to the literature reference and the source organism. They are complemented by information on occurrence, enzyme/disease relationships from text mining, sequences and 3D structures from other databases, and predicted enzyme location and genome annotation. Functional and structural data of more than 190,000 enzyme ligands are stored in BRENDA. New features improving the functionality and analysis tools were implemented. The human anatomy atlas CAVEman is linked to the BRENDA Tissue Ontology terms providing a connection between anatomical and functional enzyme data. Word Maps for enzymes obtained from PubMed abstracts highlight application and scientific relevance of enzymes. The EnzymeDetector genome annotation tool and the reaction database BKM-react including reactions from BRENDA, KEGG and MetaCyc were improved. The website was redesigned providing new query options.

Indexed as

Databases, ProteinEnzymesHumansInternetLigandsEnzymesLigands

Identifiers

PMID25378310
PMCPMC4383907

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.