ArticleNucleic acids research2017
BRENDA in 2017: new perspectives and new tools in BRENDA.
Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.
What it found
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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.
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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.
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Who cites it
123 citing papers in PubMed.
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- A structure-oriented kinetics dataset of enzyme-substrate interactions.Scientific data · 2025Article
- The role of glutathione S-transferases in human disease pathogenesis and their current inhibitors.Genes & diseases · 2025Review
- Chemical Complexity of Food and Implications for Therapeutics.The New England journal of medicine · 2025Review
- Overview and limitations of database in global traditional medicines: A narrative review.Acta pharmacologica Sinica · 2025Review
- Landscape of flavonoid metabolism in human gut microbiome and its association with health and disease.Gut microbes reports · 2025Article
- AARS Online: A collaborative database on the structure, function, and evolution of the aminoacyl-tRNA synthetases.IUBMB life · 2024Article
- Review
- A diel multi-tissue genome-scale metabolic model of Vitis vinifera.PLoS computational biology · 2024Article
- Ligify: Automated Genome Mining for Ligand-Inducible Transcription Factors.ACS synthetic biology · 2024Article
- Decoding the Foodome: Molecular Networks Connecting Diet and Health.Annual review of nutrition · 2024Review
- Bottom-up parameterization of enzyme rate constants: Reconciling inconsistent data.Metabolic engineering communications · 2024Article
- Co-Cultivated Enzyme Constraint Metabolic Network Model for Rational Guidance in Constructing Synthetic Consortia to Achieve Optimal Pathway Allocation Prediction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Enzyme Databases in the Era of Omics and Artificial Intelligence.International journal of molecular sciences · 2023Review
- Taxonomic and environmental distribution of bacterial amino acid auxotrophies.Nature communications · 2023Article
- Whole-genome sequencing and antimicrobial potential of bacteria isolated from Polish honey.Applied microbiology and biotechnology · 2023Article
- Local flux coordination and global gene expression regulation in metabolic modeling.Nature communications · 2023Article
- Genome-scale metabolic modeling of Aspergillus fumigatus strains reveals growth dependencies on the lung microbiome.Nature communications · 2023Article
63 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The BRENDA enzyme database (www.brenda-enzymes.org) has developed into the main enzyme and enzyme-ligand information system in its 30 years of existence. The information is manually extracted from primary literature and extended by text mining procedures, integration of external data and prediction algorithms. Approximately 3 million data from 83 000 enzymes and 137 000 literature references constitute the manually annotated core. Text mining procedures extend these data with information on occurrence, enzyme-disease relationships and kinetic data. Prediction algorithms contribute locations and genome annotations. External data and links complete the data with sequences and 3D structures. A total of 206 000 enzyme ligands provide functional and structural data. BRENDA offers a complex query tool engine allowing the users an efficient access to the data via different search methods and explorers. The new design of the BRENDA entry page and the enzyme summary pages improves the user access and the performance. New interactive and intuitive BRENDA pathway maps give an overview on biochemical processes and facilitate the visualization of enzyme, ligand and organism information in the biochemical context. SCOPe and CATH, databases for protein structure classification, are included. New online and video tutorials provide online training for the users. BRENDA is freely available for academic users.
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Registered trials
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.