AF_AFP19093F1

COMPUTED STRUCTURE MODEL OF BETA-NERVE GROWTH FACTOR

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.


Model Confidence 

  • pLDDT (global): 72.2
  • 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-nerve growth factor241Cavia porcellusMutation(s): 0 
Gene Names: NGF
UniProt
Find proteins for P19093 (Cavia porcellus)
Explore P19093 
Go to UniProtKB:  P19093
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupP19093
Sequence Annotations
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  • Reference Sequence