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View Structure Prediction Details

Protein: GLUC_MOUSE
Organism: Mus musculus
Length: 180 amino acids
Reference: Drew K, et al. (2011) The proteome folding project: Proteome-scale prediction of structure and function. Genome Res. 2011 Sep 16



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Top Sequence Alignment Hits

Listed below are up to the top 10 sequence alignment matches, by species, for the PSI-BLAST search against the protein sequence for GLUC_MOUSE.

Description E-value Query
Range
Subject
Range
gi|109099959 - gi|109099959|ref|XP_001093871.1| PREDICTED: similar to glucagon preproprotein [Macaca mulatta]
254.0 [0..1] [180..84]
GLUC_PIG - Glucagon OS=Sus scrofa GN=GCG PE=1 SV=4
250.0 [0..1] [178..1]
GLUC_RAT - Glucagon OS=Rattus norvegicus GN=Gcg PE=1 SV=1
250.0 [0..1] [180..1]
gi|30583853, gi|... - gi|60653543|gb|AAX29465.1| glucagon [synthetic construct], gi|60653541|gb|AAX29464.1| glucagon [synt...
249.0 [0..1] [180..1]
GCG - glucagon
gi|61361208, gi|... - gi|61361208|gb|AAX42011.1| glucagon [synthetic construct], gi|61361203|gb|AAX42010.1| glucagon [synt...
ENSPTRT00000023309 - null
249.0 [0..1] [180..1]
GLUC_MESAU - Glucagon OS=Mesocricetus auratus GN=GCG PE=2 SV=2
249.0 [0..1] [180..1]
GLUC_OCTDE - Glucagon OS=Octodon degus GN=GCG PE=2 SV=1
249.0 [0..1] [180..1]
GLUC_BOVIN - Glucagon OS=Bos taurus GN=GCG PE=1 SV=1
248.0 [0..1] [180..1]

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Predicted Domain #1
Region A:
Residues: [1-180]
      1          11         21         31         41         51         
      |          |          |          |          |          |          
    1 MKTIYFVAGL LIMLVQGSWQ HALQDTEENP RSFPASQTEA HEDPDEMNED KRHSQGTFTS  60
   61 DYSKYLDSRR AQDFVQWLMN TKRNRNNIAK RHDEFERHAE GTFTSDVSSY LEGQAAKEFI 120
  121 AWLVKGRGRR DFPEEVAIAE ELGRRHADGS FSDEMSTILD NLATRDFINW LIQTKITDKK 180
  181 

[Run NCBI BLAST on this sequence.]

Detection Method: deduced

Shown below are all of our de novo (Rosetta) predictions for this domain.
Click here to view only most confident match.

Found no structure predictions for this domain.


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