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

PF06472 ABC transporter transmembrane region 2

Copy number in non-pathogens:
Mean=0.30 Stddev=0.68

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

Genome Class* ELD score Number of proteins containing this domain
Bradyrhizobium diazoefficiens s 5 4
Microcystis aeruginosa NIES-843 s 5 4
Mycobacterium fortuitum subsp. fortuitum DSM 46621 = ATCC 6841 s 5 4
Mycobacterium peregrinum s 5 4
Pelosinus fermentans DSM 17108 s 5 4
Mesorhizobium opportunistum WSM2075 p 5 4
Bradyrhizobium elkanii USDA 76 s 5 4
Methylobacterium sp. WSM2598 s 5 4
Mycobacterium sp. JS623 s 5 4
Afipia sp. P52-10 s 5 4
Mesorhizobium loti CJ3sym s 5 4
Bradyrhizobium japonicum USDA 135 s 5 4
Inquilinus limosus DSM 16000 s 5 4
Sutterella wadsworthensis 3_1_45B s 5 4
Mycobacterium fortuitum subsp. fortuitum DSM 46621 = ATCC 6841 s 5 4
Rhizobium tropici s 5 4
Mycobacterium peregrinum s 5 4
Mycobacterium peregrinum s 5 4
Mycobacterium peregrinum s 5 4
Mycobacterium peregrinum s 5 4
Bradyrhizobium elkanii s 5 4
Bradyrhizobium elkanii s 5 4
Bosea sp. RAC05 s 5 4
Mycobacterium porcinum s 5 4
Mycobacterium porcinum s 5 4
Mycobacterium porcinum s 5 4
Mycobacterium peregrinum s 5 4

*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