Citrus Sinensis ID: 032536


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-------14
METGATKATVKAVALISGATSVKGSLHFVQGPNGVTHVKGKITGLKPGLHGFHIHALGDTTNGCNSTGPHFNPLKKDHGAPSDNERHTGDLGNIVAGPDGVAEVSIADRMVNGLINKNFRSVHCRLYEIRLVLFFHQII
cccccccccEEEEEEEcccccCEEEEEEEEcccccEEEEEEEEcccccEEEEEEEccccccccccccccccccccccccccccccccccccccCEEccccEEEEEEEEccEEEccccccEEEccccccccEEEEEEEEc
*********VKAVALISGATSVKGSLHFVQGPNGVTHVKGKITGLKPGLHGFHIHALGDTTNGCNSTGPHFNPLKKDHGAPSDNERHTGDLGNIVAGPDGVAEVSIADRMVNGLINKNFRSVHCRLYEIRLVLFFHQII
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METGATKATVKAVALISGATSVKGSLHFVQGPNGVTHVKGKITGLKPGLHGFHIHALGDTTNGCNSTGPHFNPLKKDHGAPSDNERHTGDLGNIVAGPDGVAEVSIADRMVNGLINKNFRSVHCRLYEIRLVLFFHQII

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
Superoxide dismutase [Cu-Zn] Destroys radicals which are normally produced within the cells and which are toxic to biological systems.probableP33431
Superoxide dismutase [Cu-Zn] 2 Destroys radicals which are normally produced within the cells and which are toxic to biological systems.probableO49044
Superoxide dismutase [Cu-Zn] Destroys radicals which are normally produced within the cells and which are toxic to biological systems.probableP07632

Prediction of Enzyme Commission Number ?

EC Number ?Description ?Confidence Level ?
1.-.-.-Oxidoreductases.probable
1.15.-.-Acting on superoxide as acceptor.probable
1.15.1.-Acting on superoxide as acceptor.probable
1.15.1.1Superoxide dismutase.probable

Spatial Structural Prediction

Structural Models Based on Templates

Template: 1TO4, chain A
Confidence level:very confident
Coverage over the Query: 9-132
View the alignment between query and template
View the model in PyMOL