What is dbCAN2 meta server?

dbCAN2 meta server is a web server for automated Carbohydrate-active enzyme ANnotation, funded by the National Science Foundation (DBI-1652164). Similar resources on the web include CAZy, CAT (obsolete), and Hotpep. dbCAN2 meta server is an updated version of the original dbCAN web server, and has the following new features (thanks to dbCAN users all over the world for suggestions):

  • dbCAN2 meta server allows submission of nucleotide sequences: prokaryotic genomic sequences (fna file) of draft genomes and metagenomes; for eukaryotic genomes, please still submit protein seqs (faa file)
  • dbCAN2 meta server integrates three state-of-the-art tools/databases for automated CAZyme annotation:
    1. HMMER for annotated CAZyme domain boundaries according to the dbCAN CAZyme domain HMM database
    2. DIAMOND for fast blast hits in the CAZy database
    3. Hotpep for short conserved motifs in the PPR library
  • dbCAN2 meta server can identify transcription factors (TFs), transporters (TCs), and further CAZyme gene clusters (CGCs) using CGC-Finder if users submit faa+gff files or fna file
  • dbCAN2 meta server combines the results from the three tools and allows visualization as venn diagram and detailed results as graphs

dbCAN2 meta server will be updated once a year to use the most updated CAZy database, dbCAN HMM database and Hotpep peptide database


  • 8/25/2018: dbCAN HMMdb v7 is released (based on CAZyDB 7/31/2018): HMMs of 15 new families were added (AA14, AA15, CBM82, CBM83, GH146, GH147, GH148, GH149, GH150, GH151, GH152, GH153, GT105, GT106, PL28), GT2 family HMM now is replaced with 8 Pfam HMMs (GT2_Chitin_synth_1, GT2_Chitin_synth_2, GT2_Glycos_transf_2, GT2_Glyco_tranf_2_2, GT2_Glyco_tranf_2_3, GT2_Glyco_tranf_2_4, GT2_Glyco_tranf_2_5, GT2_Glyco_trans_2_3)
  • 5/2/2018: dbCAN2 meta server paper is accepted to publish at Nucleic Acids Research
  • 8/15/2017: Tanner and HuangLe begin to work on dbCAN2 meta server
  • 7/1/2017: Yanbin is awarded the NSF CAREER grant for CAZyme bioinformatics research