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

PF04845 PurA ssDNA and RNA-binding protein

Copy number in non-pathogens:
Mean=0.00 Stddev=0.05

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

Genome Class* ELD score Number of proteins containing this domain
Haloferula sp. BvORR071 s 21 1
Verrucomicrobium sp. BvORR034 s 21 1
Verrucomicrobium sp. BvORR106 s 21 1
Akkermansia muciniphila s 21 1
Chthoniobacter flavus Ellin428 s 65 3
Akkermansia muciniphila ATCC BAA-835 s 21 1
Leptospira licerasiae serovar Varillal str. MMD0835 s 21 1
Leptospira sp. B5-022 s 21 1
Leptospira meyeri serovar Semaranga str. Veldrot Semarang 173 s 21 1
Leptospira licerasiae str. MMD4847 s 21 1
Leptospira licerasiae serovar Varillal str. VAR 010 p 21 1
Leptospira fainei serovar Hurstbridge str. BUT 6 s 21 1
Leptospira wolffii serovar Khorat str. Khorat-H2 s 21 1
Leptospira broomii serovar Hurstbridge str. 5399 s 21 1
Leptospira inadai serovar Lyme str. 10 s 21 1
Leptospira licerasiae ATCC BAA-1110 s 21 1
Akkermansia muciniphila s 21 1
Candidatus Xiphinematobacter sp. Idaho Grape s 21 1
Akkermansia sp. KLE1605 s 21 1
Akkermansia muciniphila s 21 1
Leptospira inadai serovar Lyme s 21 1
Akkermansia muciniphila s 21 1

*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