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Protein Overview: IMM7_ECOLX

General Information:
Name(s) found: IMM7_ECOLX [Swiss-Prot]
Description(s) found:
Found 31 descriptions.
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  • Colicin-E7 immunity protein OS=Escherichia coli GN=imm PE=1 SV=2 [Swiss-Prot]
    • Organism: Escherichia coli
    Length: 87 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 MELKNSISDY TEAEFVQLLK EIEKENVAAT DDVLDVLLEH FVKITEHPDG TDLIYYPSDN  60
   61 RDDSPEGIVK EIKEWRAANG KPGFKQG

    Protein Complex Data

      PUBLICATION TOPOLOGY COCOMPLEXED PROTEINS
    View Details Noble WS, et al. (2009) Manuscript in preparation. IMM7_ECOLX NFSA_ECOLI PDXK_ECOLI gi|134105085, gi... gi|189095939, gi... gi|60594470, gi|...

    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..87] PSI-BLAST 38.522879 STRUCTURE DETERMINATION OF THE COLICIN E7 IMMUNITY PROTEIN (IMME7) THAT BINDS SPECIFICALLY TO THE DNASE-TYPE COLICIN E7 AND INHIBITS ITS BACTERIOCIDAL ACTIVITY


    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