AF_AFP9WI83F1

COMPUTED STRUCTURE MODEL OF SERINE/THREONINE-PROTEIN KINASE PKNA

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): 77.49
  • 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
Serine/threonine-protein kinase PknA431Mycobacterium tuberculosis H37RvMutation(s): 0 
Gene Names: pknA
EC: 2.7.11.1
UniProt
Find proteins for P9WI83 (Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv))
Explore P9WI83 
Go to UniProtKB:  P9WI83
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupP9WI83
Sequence Annotations
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  • Reference Sequence