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

PF13187 4Fe-4S dicluster domain

Copy number in non-pathogens:
Mean=0.79 Stddev=1.65

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

Genome Class* ELD score Number of proteins containing this domain
Clostridium sp. SY8519 s 4 8
Gordonibacter pamelaeae 7-10-1-b s 4 8
Eggerthella lenta DSM 2243 s 5 10
Eggerthella lenta 1_1_60AFAA s 5 10
Eggerthella sp. HGA1 s 6 11
Desulfotomaculum ruminis DSM 2154 s 4 8
Pelosinus fermentans DSM 17108 s 5 10
Clostridium saccharobutylicum DSM 13864 s 4 9
Sporomusa ovata DSM 2662 s 4 8
Desulfovibrio zosterae DSM 11974 s 4 9
Eggerthella sp. 1_3_56FAA s 6 11
Bilophila sp. 4_1_30 s 7 13
Bilophila wadsworthia 3_1_6 s 5 10
Sporomusa ovata DSM 2662 s 4 8
Clostridium diolis DSM 15410 s 7 14
[Clostridium] bolteae 90A9 s 4 9
[Clostridium] bolteae 90B3 s 4 8
[Clostridium] clostridioforme 90A7 s 4 9
Slackia heliotrinireducens DSM 20476 s 4 8
Clostridium ljungdahlii DSM 13528 s 4 8
Clostridium saccharobutylicum DSM 13864 s 4 9
Lachnospiraceae bacterium AC3007 s 4 8
Sporobacter termitidis DSM 10068 s 4 8
Bilophila wadsworthia ATCC 49260 s 6 12
Clostridium ljungdahlii DSM 13528 s 4 8

*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