Metamenu

  • University of Vienna
  • Research network CMM
  • Dept of Microbiology and Ecosystem Science
  • CUBE
  • VOGDB
  • SIMAP
  • Gepard
  • GenSkew
  • ConsPred
  • PICA
effectors.org, University of Vienna

Search form

Navigation

  • Home
  • News
  • Browse
  • Job submission
  • Help
  • Methods
  • Download
  • Publications
  • Links

Genomes encoding eukaryotic-like proteins

  • CSV
  • XLS
  • XML

PF07998 Peptidase family M54

Copy number in non-pathogens:
Mean=0.03 Stddev=0.22

Genomes significantly enriched in this eukaryotic-like domain (ELD; score >= 4):

Genome Class* ELD score Number of proteins containing this domain
Haloferula sp. BvORR071 s 9 2
Verrucomicrobium sp. BvORR034 s 4 1
Chryseobacterium indologenes NBRC 14944 s 4 1
Bacteroides thetaiotaomicron s 4 1
Blautia obeum s 4 1
Chryseobacterium indologenes s 4 1
Chryseobacterium gleum ATCC 35910 s 4 1
Treponema vincentii ATCC 35580 s 4 1
Flavobacterium sp. CF136 s 9 2
Flavobacterium sp. F52 s 4 1
Stigmatella aurantiaca DW4/3-1 s 9 2
Dysgonomonas capnocytophagoides DSM 22835 s 4 1
Bacteroides ovatus CL02T12C04 s 4 1
Treponema vincentii F0403 s 4 1
Stigmatella aurantiaca DW4/3-1 s 9 2
Streptococcus mitis s 4 1
Chryseobacterium indologenes s 9 2
Bacteroides ovatus s 4 1
Chryseobacterium sp. MOF25P s 4 1
Chryseobacterium sp. BGARF1 s 4 1
Chryseobacterium indologenes s 9 2
Bacteroides thetaiotaomicron s 4 1
Flavobacterium chilense s 9 2
Chryseobacterium contaminans s 4 1
Chryseobacterium artocarpi s 4 1
Flavobacterium johnsoniae s 4 1
Chryseobacterium indologenes s 4 1
Stigmatella aurantiaca s 9 2
Chryseobacterium contaminans s 9 2
Flavobacterium chilense s 9 2
Flavobacterium johnsoniae s 9 2
Chryseobacterium indologenes s 9 2
Chryseobacterium indologenes s 4 1

*p=pathogen;s=symbiont

Release announcements

News

  • EffectiveDB genome mode fixed

    24.11.20
  • EFFECTIVEELD 5.2: EUKARYOTIC-LIKE DOMAIN PREDICTION UPGRADED TO PFAM 31

    20.08.17
  • EffectiveELD 5.1: Eukaryotic-like domain prediction upgraded to Pfam 29

    24.06.16

Latest publications

  • EffectiveDB-updates and novel features for a better annotation of bacterial secreted proteins and Type III, IV, VI secretion systems.
  • Prediction of microbial phenotypes based on comparative genomics.

Contact

  • +43 1 4277 76681
  • +43 1 4277 876681
  • contact.cube@univie.ac.at
Computational Systems Biology, University of Vienna
  • Contact
  • Imprint
  • Privacy Policy
University Vienna