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

PF05630 Necrosis inducing protein (NPP1)

Copy number in non-pathogens:
Mean=0.07 Stddev=0.30

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

Genome Class* ELD score Number of proteins containing this domain
Streptomyces turgidiscabies s 9 3
Streptomyces acidiscabies s 6 2
Streptomyces acidiscabies s 6 2
Sinorhizobium medicae WSM1369 s 6 2
Sinorhizobium medicae WSM1115 s 16 5
Streptomyces turgidiscabies Car8 s 9 3
Sinorhizobium meliloti BO21CC s 6 2
Sinorhizobium meliloti AK58 s 6 2
Sinorhizobium medicae DI28 s 6 2
Sinorhizobium meliloti A0641M s 6 2
Sinorhizobium meliloti AE608H s 6 2
Sinorhizobium meliloti C0438LL s 6 2
Sinorhizobium meliloti A0643DD s 6 2
Streptomyces sp. HGB0020 s 6 2
Streptomyces scabiei s 6 2
Streptomyces acidiscabies s 6 2
Streptomyces europaeiscabiei s 6 2
Streptomyces europaeiscabiei s 9 3
Streptomyces europaeiscabiei s 9 3
Streptomyces sp. 96-12 s 9 3
Streptomyces acidiscabies s 6 2
Streptomyces acidiscabies s 6 2
Streptomyces acidiscabies s 6 2
Streptomyces acidiscabies s 6 2
Streptomyces scabiei s 12 4
Streptomyces scabiei s 6 2
Streptomyces scabiei s 6 2
Sinorhizobium meliloti s 9 3
Sinorhizobium meliloti s 6 2
Sinorhizobium meliloti s 6 2
Sinorhizobium medicae WSM419 s 6 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