Evidence map›Paper›PMID 41206471›Full record

ArticleNucleic acids research2026

BRENDA in 2026: a Global Core Biodata Resource for functional enzyme and metabolic data within the DSMZ Digital Diversity.

Julia Hauenstein, Lisa Jeske, Antje Jäde, Mathias Krull, Katrin Dümmer, Julia Koblitz, Anja Tietz, Dieter Jahn, Lorenz Christian Reimer, Boyke Bunk

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Metabolic engineering ofbioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Nutrient control enables metabolic reconstruction ofbioRxiv : the preprint server for biology · 2026
    Article
  13. Article
  14. Article
  15. 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

10 authors.

Julia HauensteinLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7 B, 38124 Braunschweig, Germany.ORCID 0009-0003-8563-2823
Lisa JeskeLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7 B, 38124 Braunschweig, Germany.ORCID 0009-0000-4440-0012
Antje JädeLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7 B, 38124 Braunschweig, Germany.ORCID 0000-0002-2176-8751
Mathias KrullLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7 B, 38124 Braunschweig, Germany.ORCID 0009-0001-7979-8160
Katrin DümmerLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7 B, 38124 Braunschweig, Germany.ORCID 0009-0006-7056-8488
Julia KoblitzLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7 B, 38124 Braunschweig, Germany.ORCID 0000-0002-7260-2129
Anja TietzLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7 B, 38124 Braunschweig, Germany.ORCID 0009-0007-5696-1213
Dieter JahnBraunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig University of Technology, Rebenring 56, 38106 Braunschweig, Germany.ORCID 0000-0002-4064-9205
Lorenz Christian ReimerLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7 B, 38124 Braunschweig, Germany.ORCID 0000-0002-7805-0660
Boyke BunkLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7 B, 38124 Braunschweig, Germany.ORCID 0000-0002-8420-8161

Funding

BMBF 01KX1235BMBF 031A539DBMBF 031L0078EBMBF 031L0078G
6 · The paper itself

Abstract

BRENDA (https://www.brenda-enzymes.org/), the most comprehensive enzyme and ligand database for over nearly four decades, has seen major developments since 2021, further solidifying its role as an ELIXIR Core Data Resource and Global Core Biodata Resource in the life sciences. As part of the DSMZ Digital Diversity consortium (https://hub.dsmz.de) since 2023, BRENDA has introduced a prototype knowledge graph accessible via a public SPARQL endpoint, enabling semantic search, data integration, and improved reusability in line with FAIR principles. The database now hosts ∼5.8 million data points on 112 288 enzymes from 15 335 organisms and 173 164 references, alongside 278 840 ligands. Recent updates include the manual annotation of ∼16 000 references, the addition of 615 EC numbers-480 with newly curated data-and revisions to 4422 EC classes. The curated pathway collection has expanded to 195 metabolic maps, now supported by interactive pathway summary pages that organize key information into structured, user-friendly views. BRENDA now also incorporates DSMZCellDive data, visually linking enzyme classes to high-expressing human cell lines. A new gene-centric search interface allows streamlined access to enzyme-specific data using gene symbols or identifiers. These enhancements advance BRENDA's interoperability and analytical capabilities, reinforcing its integration with major bioinformatics resources such as SILVA, BacDive, and LPSN.

Indexed as

Databases, ProteinEnzymesComputational BiologyHumansInternetLigandsMetabolic Networks and PathwaysSoftwareUser-Computer InterfaceEnzymesLigands

Identifiers

PMID41206471
PMCPMC12807770

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.