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

PF08495 FIST N domain

Copy number in non-pathogens:
Mean=0.36 Stddev=0.72

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

Genome Class* ELD score Number of proteins containing this domain
Selenomonas ruminantium subsp. lactilytica TAM6421 s 5 4
Vibrio mangrovi s 5 4
Vibrio nigripulchritudo Wn13 s 5 4
Vibrio nigripulchritudo SOn1 s 5 4
Vibrio nigripulchritudo SO65 s 5 4
Vibrio nigripulchritudo AM115 s 5 4
Vibrio nigripulchritudo SFn27 s 5 4
Vibrio nigripulchritudo SFn135 s 5 4
Vibrio nigripulchritudo ENn2 s 5 4
Vibrio nigripulchritudo FTn2 s 5 4
Vibrio nigripulchritudo BLFn1 s 5 4
Azospirillum halopraeferens DSM 3675 s 5 4
Selenomonas ruminantium subsp. ruminantium ATCC 12561 s 6 5
Clostridium diolis DSM 15410 s 6 5
Lachnospiraceae bacterium JC7 s 6 5
Treponema azotonutricium ZAS-9 s 9 7
Selenomonas sp. AE3005 s 5 4
Selenomonas ruminantium AC2024 s 6 5
Anaerovibrio lipolyticus LB2005 s 5 4
Schwartzia succinivorans DSM 10502 s 6 5
Butyrivibrio fibrisolvens DSM 3071 s 5 4
Anaerovibrio lipolyticus DSM 3074 s 5 4
Oribacterium sp. FC2011 s 7 6
Pseudobutyrivibrio sp. LB2011 s 5 4
Lachnospiraceae bacterium MC2017 s 7 6
Selenomonas ruminantium AB3002 s 7 6
Selenomonas sp. FC4001 s 6 5
Anaerovibrio lipolyticus s 5 4
Methyloversatilis sp. RAC08 s 5 4
Lachnospiraceae bacterium s 7 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