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

PF00809 Pterin binding enzyme

Copy number in non-pathogens:
Mean=1.98 Stddev=0.97

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

Genome Class* ELD score Number of proteins containing this domain
Intestinibacter bartlettii DSM 16795 s 4 6
Desulfitobacterium hafniense DP7 s 11 13
Acinetobacter baumannii 1289546 s 4 6
Acinetobacter baumannii 564012 s 4 6
Acinetobacter baumannii 796380-2102 s 4 6
Acinetobacter baumannii 993520 s 4 6
Acinetobacter baumannii 1462234 s 5 7
Acinetobacter baumannii 457946 s 4 6
Acinetobacter baumannii 480175 s 4 6
Acinetobacter baumannii 214216 s 4 6
Sporomusa ovata DSM 2662 s 7 9
Acetonema longum DSM 6540 s 4 6
Sporomusa ovata DSM 2662 s 7 9
Acinetobacter baumannii 25766_4 s 4 6
Acinetobacter baumannii 25766_6 s 4 6
Acinetobacter baumannii 25681_2 s 4 6
Acinetobacter baumannii 25681_9 s 4 6
Acinetobacter baumannii 26016_9 s 4 6
Acinetobacter baumannii 45002_9 s 4 6
Acinetobacter baumannii 756476 s 4 6
Intestinibacter bartlettii DSM 16795 s 4 6
Eubacterium limosum s 5 7
Clostridium ljungdahlii DSM 13528 s 4 6
Eubacterium limosum s 6 8
Moorella thermoacetica s 4 6
Moorella thermoacetica s 4 6
Oxobacter pfennigii s 4 6
Eubacterium limosum s 5 7
Asanoa hainanensis s 4 6
Moorella thermoacetica s 4 6
Moorella thermoacetica s 4 6
Moorella thermoacetica 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