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

PF01030 Receptor L domain

Copy number in non-pathogens:
Mean=0.01 Stddev=0.11

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

Genome Class* ELD score Number of proteins containing this domain
Alistipes obesi s 9 1
Bacteroides ovatus s 9 1
Bacteroides coprophilus DSM 18228 = JCM 13818 s 9 1
Cellulophaga algicola DSM 14237 s 9 1
Odoribacter splanchnicus DSM 20712 s 9 1
Butyricimonas synergistica DSM 23225 s 9 1
Porphyromonas somerae DSM 23386 s 9 1
Cyclobacterium marinum DSM 745 s 9 1
Chryseobacterium palustre DSM 21579 s 9 1
Empedobacter brevis NBRC 14943 = ATCC 43319 s 9 1
Dyadobacter beijingensis DSM 21582 s 18 2
Bacteroides sp. 2_2_4 s 9 1
Bacteroides sp. 9_1_42FAA s 9 1
Bacteroides sp. D2 s 9 1
Bacteroides sp. 3_1_23 s 9 1
Bacteroides ovatus 3_8_47FAA s 9 1
Tannerella sp. 6_1_58FAA_CT1 s 9 1
Bacteroides ovatus CL02T12C04 s 9 1
Bacteroides ovatus CL03T12C18 s 9 1
Bacteroides faecis MAJ27 s 9 1
Barnesiella intestinihominis YIT 11860 s 9 1
Flavobacteriaceae bacterium UJ101 s 9 1
Bacteroides faecis MAJ27 s 9 1
Bacteroides ovatus s 18 2
Odoribacter splanchnicus s 9 1
Odoribacter splanchnicus s 18 2

*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