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Protein Overview: SRP09_ARATH

General Information:
Name(s) found: SRP09_ARATH [Swiss-Prot]
Description(s) found:
Found 20 descriptions.
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  • Signal recognition particle 9 kDa protein OS=Arabidopsis thaliana GN=SRP9 PE=3 SV=1 [Swiss-Prot]
    • Organism: Arabidopsis thaliana
    Length: 103 amino acids

    Gene Ontology:
    Cellular Component: signal recognition particle [IEA]
    Biological Process: SRP-dependent cotranslational protein targeting to membrane [IEA]
    negative regulation of translational elongation [IEA]
    Molecular Function: protein binding [IEA]
    7S RNA binding [IEA]
    signal recognition particle binding [ISS]


    Sequence:
    Sequence:
    [PDR BLAST]
    [ProtParam] 
          1          11         21         31         41         51         
      |          |          |          |          |          |          
    1 MVYIASWDEF VDRSVQLFRA DPESTRYVMK YRHCDGKLVL KVTDNKECLK FKTDQAQEAK  60
   61 KMEKLNNIFF TLMARGPDVD LSEVTGKEQM ETQPAKKGRG RKQ

    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:

    SHOWING SINGLE HITS. [ Hide 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..103] PSI-BLAST 30.09691 SIGNAL RECOGNITION PARTICLE ALU RNA BINDING HETERODIMER, SRP9/14


    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: 0.99

    Source: Reynolds et al. (2008)

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