ArticleNucleic acids research2023
dbCAN3: automated carbohydrate-active enzyme and substrate annotation.
Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 628 papers.
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Who cites it
628 citing papers in PubMed.
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- Phylogenomic analysis and characterization of a novel metagenome-assembled genome from the Bay of Bengal and description of Candidatus Niobacter visakhapatnamensis gen. nov., sp. nov.Archives of microbiology · 2026Article
- Carbohydrate-active enzymes from a core root mycobiota member enable infection of multiple plant hosts.Nature microbiology · 2026Article
- Spatial heterogeneity of viral communities across the gastrointestinal tracts of ruminants.Journal of advanced research · 2026Article
- Functional Divergence in Gut Clostridia from Hadza Hunter-Gatherers Reveals Diet-Adapted Metabolic Machinery That Shapes Gut Ecology.bioRxiv : the preprint server for biology · 2026Article
- What we (still don't) know about wood-degrading fungi: an overview of threats and utilization potentials.Applied microbiology and biotechnology · 2026Review
- Comparative Analysis of Carbohydrate-Active Enzyme (CAZyme) Diversity Across Diverse Algal Lineages.Marine biotechnology (New York, N.Y.) · 2026Article
- Differential proteomics of bacteria grownmSystems · 2026Article
- Emticicia lacicola sp. nov., isolated from a freshwater reservoir.Archives of microbiology · 2026Article
- Morphological, Physiological, Pathogenic, and Molecular Characterization ofPlants (Basel, Switzerland) · 2026Article
- Novel Thermophilic Species ofLife (Basel, Switzerland) · 2026Article
- Unraveling the Glycosylation Machinery ofInternational journal of molecular sciences · 2026Article
568 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Carbohydrate active enzymes (CAZymes) are made by various organisms for complex carbohydrate metabolism. Genome mining of CAZymes has become a routine data analysis in (meta-)genome projects, owing to the importance of CAZymes in bioenergy, microbiome, nutrition, agriculture, and global carbon recycling. In 2012, dbCAN was provided as an online web server for automated CAZyme annotation. dbCAN2 (https://bcb.unl.edu/dbCAN2) was further developed in 2018 as a meta server to combine multiple tools for improved CAZyme annotation. dbCAN2 also included CGC-Finder, a tool for identifying CAZyme gene clusters (CGCs) in (meta-)genomes. We have updated the meta server to dbCAN3 with the following new functions and components: (i) dbCAN-sub as a profile Hidden Markov Model database (HMMdb) for substrate prediction at the CAZyme subfamily level; (ii) searching against experimentally characterized polysaccharide utilization loci (PULs) with known glycan substates of the dbCAN-PUL database for substrate prediction at the CGC level; (iii) a majority voting method to consider all CAZymes with substrate predicted from dbCAN-sub for substrate prediction at the CGC level; (iv) improved data browsing and visualization of substrate prediction results on the website. In summary, dbCAN3 not only inherits all the functions of dbCAN2, but also integrates three new methods for glycan substrate prediction.
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Registered trials
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