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

PF00891 O-methyltransferase

Copy number in non-pathogens:
Mean=0.57 Stddev=1.27

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

Genome Class* ELD score Number of proteins containing this domain
Streptomyces acidiscabies s 8 11
Streptomyces acidiscabies s 8 11
Nocardia tenerifensis NBRC 101015 s 4 6
Actinomadura chibensis NBRC 106107 s 4 6
Mycobacterium simiae ATCC 25275 = DSM 44165 s 4 6
Kutzneria sp. 744 s 4 6
Stigmatella aurantiaca DW4/3-1 s 5 7
Streptomyces sp. MspMP-M5 s 5 7
Streptomyces sp. HPH0547 s 5 7
Salinispora arenicola CNX482 s 4 6
Salinispora arenicola CNR921 s 4 6
Salinispora arenicola CNX508 s 4 6
Salinispora arenicola CNT005 s 4 6
Salinispora arenicola CNH905 s 5 8
Salinispora arenicola CNT800 s 5 7
Stigmatella aurantiaca DW4/3-1 s 5 8
Nocardia brasiliensis ATCC 700358 p 5 7
Actinomadura madurae LIID-AJ290 s 4 6
Actinoalloteichus cyanogriseus s 4 6
Actinoalloteichus cyanogriseus s 4 6
Streptomyces europaeiscabiei s 4 6
Streptomyces acidiscabies s 7 10
Mycobacterium simiae s 7 10
Photorhabdus luminescens subsp. laumondii s 5 7
Streptomyces atriruber s 5 7
Streptomyces rangoonensis s 4 6
Streptomyces silaceus s 5 7
Streptomyces acidiscabies s 8 11
Streptomyces acidiscabies s 8 11
Streptomyces acidiscabies s 8 11
Streptomyces acidiscabies s 8 11
Mycobacterium simiae s 6 9

*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