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Protein Overview: PARA_CAUCN

General Information:
Name(s) found: PARA_CAUCN [Swiss-Prot]
Description(s) found:
Found 4 descriptions.
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  • Chromosome partitioning protein ParA OS=Caulobacter crescentus (strain NA1000 / CB15N) GN=parA PE=1 SV=1 [Swiss-Prot]
    • Organism: Caulobacter crescentus NA1000
    Length: 267 amino acids

    Gene Ontology:
    Cellular Component: NONE FOUND
    Biological Process: NONE FOUND
    Molecular Function: NONE FOUND


    Sequence:
    Sequence:
    [PDR BLAST]
    [ProtParam] 
          1          11         21         31         41         51         
      |          |          |          |          |          |          
    1 MSANPLRVLA IANQKGGVGK TTTAINLGTA LAACGERVLL IDADPQGNCS TGLGIGRTQR  60
   61 RTTLYDVLMG EAPVVDAAVK TELPGLDVIP ADADLSGVEI ELGQTARRSY RLRDALEAIR 120
  121 ANGPYTYVLI DCPPSLNVLT VNAMTAADAV FVPLQCEFFA LEGLTQLMRT IERVRGSLNP 180
  181 RLEIQGVVLT MYDRRNSLSE QVAKDVRAHF GDKVYDAVIP RNVRVSEAPS FGKPVLLYDL 240
  241 KCAGSQAYLK LAREVISRER DRQAKAA

    Protein Complex Data

    No complex found for this protein.

    Mass Spectrometry Data

    No mass spectrometry results found for this protein.

    Yeast Two-Hybrid Data

    The following interactions contain this protein:

    NOT SHOWING SINGLE HITS. [ Show Single Hits ]

    [View our yeast two-hybrid interpretation guidelines.]

    No yeast two-hybrid interactions found for this protein.

    Microscopy / Localization Data

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    No microscopy data found in the PDR for this protein.

    Protein Structure Data


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    [View Top Sequence Alignments] [Show Ginzu Version Information]

    Domains predicted:

    #   Region(s) Method Confidence Match Description
    1 View Details [1..267] PSI-BLAST 50.39794 Structure of the bacterial chromosome segregation protein Soj


    Reference: Drew K, et al. (2011) The proteome folding project: Proteome-scale prediction of structure and function. Genome Res. 2011 Sep 16


    Philius Transmembrane Prediction:

    Protein predicted to be: GLOBULAR (No transmembrane regions or signal peptide)
    Confidence of classification: 0.92

    Source: Reynolds et al. (2008)

    YRC Informatics Platform - Version 3.0
    Created and Maintained by: Michael Riffle