AF_AFQ07717F1

COMPUTED STRUCTURE MODEL OF BETA-2-MICROGLOBULIN

There are no experimental data to verify the accuracy of this computed structure model. See Model Confidence metrics below for all regions of the polypeptide chain.

  • AlphaFold DBAF-Q07717-F1
  • Released in AlphaFold DB:  2021-12-09
    Last Modified in AlphaFold DB: 2022-09-30
  • Organism(s): Sus scrofa
  • UniProtKB: Q07717

Model Confidence 

  • pLDDT (global): 94.25
  • pLDDT (local):
Model Confidence 
  •   Very high (pLDDT > 90)    
  •   Confident (70 < pLDDT ≤ 90)    
  •   Low (50 < pLDDT ≤ 70)    
  •   Very low (pLDDT ≤ 50)    

Computed Structure Models provide per-residue confidence score (pLDDT) between 0 and 100. Some regions below 50 pLDDT may be unstructured in isolation.


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
Beta-2-microglobulin118Sus scrofaMutation(s): 0 
Gene Names: B2M
UniProt
Find proteins for Q07717 (Sus scrofa)
Explore Q07717 
Go to UniProtKB:  Q07717
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupQ07717
Sequence Annotations
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  • Reference Sequence