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

PF01835 MG2 domain

Copy number in non-pathogens:
Mean=0.38 Stddev=0.62

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 5 4
Verrucomicrobium sp. BvORR034 s 4 3
Verrucomicrobium sp. BvORR106 s 5 4
Bacteroides thetaiotaomicron s 4 3
Bacteroides intestinalis DSM 17393 s 4 3
Bacteroides cellulosilyticus DSM 14838 s 4 3
Parabacteroides sp. ASF519 s 5 4
Treponema saccharophilum DSM 2985 s 4 3
Saprospira grandis DSM 2844 s 7 5
Stigmatella aurantiaca DW4/3-1 s 4 3
Bacteroides cellulosilyticus WH2 s 5 4
Bacteroides oleiciplenus YIT 12058 s 4 3
Bacteroides cellulosilyticus CL02T12C19 s 5 4
Parabacteroides goldsteinii CL02T12C30 s 4 3
Prevotella sp. oral taxon 317 str. F0108 s 4 3
Stigmatella aurantiaca DW4/3-1 s 4 3
Bacteroides thetaiotaomicron s 4 3
Parabacteroides goldsteinii DSM 19448 = WAL 12034 s 5 4
Chryseobacterium indologenes s 5 4
Pseudomonas alcaligenes s 4 3
Chryseobacterium piscicola s 4 3
Stigmatella aurantiaca s 4 3

*p=pathogen;s=symbiont

Release announcements

News

  • 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
  • New release 5.0 of Eukaryotic-like domains finished

    16.09.15
    F-Box domain

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