YRC Logo
PROTEIN SEARCH:
Descriptions Names[Advanced Search]

Protein Overview: LTOR3_MOUSE

General Information:
Name(s) found: LTOR3_MOUSE [Swiss-Prot]
Description(s) found:
Found 67 descriptions.
SHOW ALL
  • Ragulator complex protein LAMTOR3 OS=Mus musculus GN=Lamtor3 PE=1 SV=1 [Swiss-Prot]
    • Organism: Mus musculus
    Length: 124 amino acids

    Gene Ontology:
    Cellular Component: endosome [IEA]
    membrane [IEA]
    late endosome [IDA]
    Biological Process: activation of MAPKK activity [IDA]
    Molecular Function: kinase activator activity [IDA]
    protein binding [IPI]


    Sequence:
    Sequence:
    [PDR BLAST]
    [ProtParam] 
          1          11         21         31         41         51         
      |          |          |          |          |          |          
    1 MADDLKRFLY KKLPSVEGLH AIVVSDRDGV PVIKVANDSA PEHALRPGFL STFALATDQG  60
   61 SKLGLSKNKS IICYYNTYQV VQFNRLPLVV SFIASSSANT GLIVSLEKEL APLFEELIKV 120
  121 VEVS

    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

    New Feature: Upload Your Own Microscopy Data

    No microscopy data found in the PDR for this protein.

    Protein Structure Data


    [What does the above image mean?]
    [View Top Sequence Alignments] [Show Ginzu Version Information]

    Domains predicted:

    #   Region(s) Method Confidence Match Description
    1 View Details [1..124] PSI-BLAST 54.69897 MP1-p14 Complex


    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: 0.91

    Source: Reynolds et al. (2008)

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