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

PF07366 SnoaL-like polyketide cyclase

Copy number in non-pathogens:
Mean=0.66 Stddev=1.23

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

Genome Class* ELD score Number of proteins containing this domain
Nocardia yamanashiensis NBRC 100130 s 5 7
Nocardia mexicana NBRC 108244 s 4 6
Nocardia seriolae s 5 8
Nocardia seriolae s 5 8
Nocardia concava NBRC 100430 s 6 9
Nocardia tenerifensis NBRC 101015 s 5 7
Nocardia transvalensis NBRC 15921 s 4 6
Rhodococcus jostii NBRC 16295 s 4 6
Vibrio nigripulchritudo SO65 s 4 6
Vibrio nigripulchritudo AM115 s 4 6
Vibrio nigripulchritudo FTn2 s 4 6
Burkholderia sp. BT03 s 5 8
Amycolatopsis orientalis DSM 46075 s 4 6
Frankia sp. CN3 s 4 6
Mycobacterium sp. JS623 s 5 8
Bradyrhizobium sp. ARR65 s 4 6
Ruegeria conchae s 7 10
Paraburkholderia nodosa DSM 21604 s 4 6
Labrenzia sp. DG1229 s 5 8
Phaeobacter inhibens 2.10 s 4 6
Phaeobacter inhibens DSM 17395 s 4 6
Roseobacter litoralis Och 149 s 4 6
Pseudonocardia acaciae DSM 45401 s 7 10
Nocardia seriolae s 5 8
Nocardia seriolae s 5 8
Nocardia seriolae s 5 7
Burkholderia sp. BT03 s 5 8
Nocardia seriolae s 5 8
Streptomyces scabiei s 4 6

*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