ArticleDatabase : the journal of biological databases and curation2019
Towards comprehensive annotation of Drosophila melanogaster enzymes in FlyBase.
Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Neuronal Syndecan reduction modulates age- and sex-specific changes in sleep architecture and metabolic remodeling in Drosophila melanogaster.Mechanisms of ageing and development · 2026Article
- Genomic Signatures of Speciation in Butterflies.Systematic biology · 2026Article
- Comprehensive annotation of the enzymes of Drosophila melanogaster.G3 (Bethesda, Md.) · 2026Article
- FlyRNAi.org 2025 update-expanded resources for new technologies and species.Nucleic acids research · 2025Article
- Simulated digestions of free oligosaccharides and mucin-type O-glycans reveal a potential role for Clostridium perfringens.Scientific reports · 2024Article
- Metabolomic analysis of Drosophila melanogaster larvae lacking pyruvate kinase.G3 (Bethesda, Md.) · 2023Article
- Article
- Metabolomic analysis ofbioRxiv : the preprint server for biology · 2023Article
- FlyBase: updates to the Drosophila melanogaster knowledge base.Nucleic acids research · 2021Article
- The oncometabolite L-2-hydroxyglutarate is a common product of dipteran larval development.Insect biochemistry and molecular biology · 2020Article
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Authors and funding
4 authors.
Funding
Abstract
The catalytic activities of enzymes can be described using Gene Ontology (GO) terms and Enzyme Commission (EC) numbers. These annotations are available from numerous biological databases and are routinely accessed by researchers and bioinformaticians to direct their work. However, enzyme data may not be congruent between different resources, while the origin, quality and genomic coverage of these data within any one resource are often unclear. GO/EC annotations are assigned either manually by expert curators or inferred computationally, and there is potential for errors in both types of annotation. If such errors remain unchecked, false positive annotations may be propagated across multiple resources, significantly degrading the quality and usefulness of these data. Similarly, the absence of annotations (false negatives) from any one resource can lead to incorrect inferences or conclusions. We are systematically reviewing and enhancing the functional annotation of the enzymes of Drosophila melanogaster, focusing on improvements within the FlyBase (www.flybase.org) database. We have reviewed four major enzyme groups to date: oxidoreductases, lyases, isomerases and ligases. Herein, we describe our review workflow, the improvement in the quality and coverage of enzyme annotations within FlyBase and the wider impact of our work on other related databases.
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Registered trials
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