Citrus Sinensis ID: 028561

Local Sequence Feature Prediction

Prediction and MethodResult
Residue Number Marker
Protein Sequence ?
Secondary Structure (Consensus) ?
Disordered Region (Consensus) ?
Transmembrane Helix (Consensus) ?
Signal Peptide (Consensus) ?
Coiled Coil (COILS) ?
 
--------10--------20--------30--------40--------50--------60--------70--------80--------90-------100-------110-------120-------130-------140-------150-------160-------170-------180-------190-------200-------
MGDSHSYDRISVHQALGGGSVADVLLWRKRCGGVVLLGSSTILWFLFERAGYNFLSFVSNVLLLLVAILFFWGKSASLLNRPLPPLPDLEISDQSVVKAADEIQVWVNHALSIARDIAMGRNLSRFLQVAFLLWVVSYVGSVFNFLTLVYIGVLLSLSVPVLYEKFQDHIDEKLCKIQRVIQMQYRKIDESLLKKIPLPQNKQKKTQ
cccccccccccccccccccccccEEEcccccHHHHHHHHHHHHHHHHHHHccHHHHHHHHHHHHHHHHHHHHHHHHccccccccccccccccHHHHHHHHHHHHHHHHHHHHHHHHHHccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHcHHHHHHHHHHHHHHHHHHHHHHHHHHHHccccccccccccc
*********ISVHQALGGGSVADVLLWRKRCGGVVLLGSSTILWFLFERAGYNFLSFVSNVLLLLVAILFFWGKSASLLNRPLPPLPDLEISDQSVVKAADEIQVWVNHALSIARDIAMGRNLSRFLQVAFLLWVVSYVGSVFNFLTLVYIGVLLSLSVPVLYEKFQDHIDEKLCKIQRVIQMQYRKIDESLL**************
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxHHHHHHHHHHHHHHHHHxxxxxHHHHHHHHHHHHHHHHHHHHxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxHHHHHHHHHHHHHHHHHxxHHHHHHHHHHHHHHHHHHxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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MGDSHSYDRISVHQALGGGSVADVLLWRKRCGGVVLLGSSTILWFLFERAGYNFLSFVSNVLLLLVAILFFWGKSASLLNRPLPPLPDLEISDQSVVKAADEIQVWVNHALSIARDIAMGRNLSRFLQVAFLLWVVSYVGSVFNFLTLVYIGVLLSLSVPVLYEKFQDHIDEKLCKIQRVIQMQYRKIDESLLKKIPLPQNKQKKTQ

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
Reticulon-like protein B11 probableQ9LT71

Prediction of Enzyme Commission Number ?

No EC number assigned to the protein, probably not an enzyme!

Spatial Structural Prediction

Structural Models Based on Templates

Template: 2KO2, chain A
Confidence level:probable
Coverage over the Query: 71-113
View the alignment between query and template
View the model in PyMOL