AF_AFK7KLN1F1

COMPUTED STRUCTURE MODEL OF POTASSIUM TRANSPORTER

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-K7KLN1-F1
  • Released in AlphaFold DB:  2021-07-01
    Last Modified in AlphaFold DB: 2022-09-30
  • Organism(s): Glycine max
  • UniProtKB: K7KLN1

Model Confidence 

  • pLDDT (global): 78.4
  • 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
Potassium transporter790Glycine maxMutation(s): 0 
Gene Names: 100806122
UniProt
Find proteins for K7KLN1 (Glycine max)
Explore K7KLN1 
Go to UniProtKB:  K7KLN1
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupK7KLN1
Sequence Annotations
Expand
  • Reference Sequence