Diaphorina citri psyllid: psy2266


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-------210-------220-------230-------240-------250-------260-------270-------280-------290-------300-------310---
QKVCKNNNNNVRFHQLDILDQSSIHKLHDDIQTQHGGLDLLVNNAGIYRDTAPGSFGQRAETTLATNFFALVTVCHILFPLLRPHARVVNVASKLGMLYNVPSQELRQTLFNESLTEDQLLDMMTDYVQYNGPLDKILDTAMDTAPGSFGQRAETTLATNFFALVTVCHILFPLLRPHARVVNVASKLGMLYNVPSQELRQTLFNESLTEDQLLDMMTDYVQLAKEGKDKEAGWPEFSYSVSKLGVAKLSFIQHATLSKDKRRPDIIVNPVHPGYVNTDLTEHKGVLTPEQGKIRQKIYLLKRTNKFQLDDFS
cccccccccccEEEECccccHHHHHHHHHHHHHHcccccEEEcccccccccccccHHHHHHHHHHccccHHHHHHHHHcccccccccEEEEEcccccccccccccHHHHHHcccccHHHHHHHHHHHHHcccccccccccccccccccccccccccccccHHHHHHHHHHHccccccccEEEEEEcccccccccccHHHHHHHccccccHHHHHHHHHHHHHHHHcccccccccccccHHHHHHHHHHHHHHHHHHHccccccccEEEEEEEccccccccccccccccHHHcccccccccccccccccccccc
**********VRFHQLDILDQSSIHKLHDDIQTQHGGLDLLVNNAGIYRDTAPGSFGQRAETTLATNFFALVTVCHILFPLLRPHARVVNVASKLGMLYNVPSQELRQTLFNESLTEDQLLDMMTDYVQYNGPLDKILDTAMDTAPGSFGQRAETTLATNFFALVTVCHILFPLLRPHARVVNVASKLGMLYNVPSQELRQTLFNESLTEDQLLDMMTDYVQLAKEGKDKEAGWPEFSYSVSKLGVAKLSFIQHATLSKDKRRPDIIVNPVHPGYVNTDLTEHKGVLTPEQGKIRQKIYLLKRTN********
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
QKVCKNNNNNVRFHQLDILDQSSIHKLHDDIQTQHGGLDLLVNNAGIYRDTAPGSFGQRAETTLATNFFALVTVCHILFPLLRPHARVVNVASKLGMLYNVPSQELRQTLFNESLTEDQLLDMMTDYVQYNGPLDKILDTAMDTAPGSFGQRAETTLATNFFALVTVCHILFPLLRPHARVVNVASKLGMLYNVPSQELRQTLFNESLTEDQLLDMMTDYVQLAKEGKDKEAGWPEFSYSVSKLGVAKLSFIQHATLSKDKRRPDIIVNPVHPGYVNTDLTEHKGVLTPEQGKIRQKIYLLKRTNKFQLDDFS

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

No confident close homologs for annotation transfering were detected in SWISSPROT

Prediction of Gene Ontology Terms ?

GO Term ?Description ?Confidence Level ?Parent GO Terms ?
GO:0055114 [BP]oxidation-reduction processprobableGO:0044710, GO:0008150, GO:0008152
GO:0004090 [MF]carbonyl reductase (NADPH) activityprobableGO:0003824, GO:0003674, GO:0016614, GO:0016616, GO:0016491
GO:0042373 [BP]vitamin K metabolic processprobableGO:0044710, GO:0006766, GO:0042180, GO:0044237, GO:0009987, GO:1901661, GO:0042375, GO:0071704, GO:0006775, GO:0008150, GO:0051186, GO:0008152, GO:0044281
GO:0044464 [CC]cell partprobableGO:0005575, GO:0005623
GO:0016655 [MF]oxidoreductase activity, acting on NAD(P)H, quinone or similar compound as acceptorprobableGO:0003824, GO:0003674, GO:0016651, GO:0016491
GO:0017144 [BP]drug metabolic processprobableGO:0009987, GO:0008150, GO:0008152, GO:0044237

Prediction of Enzyme Commission Number ?

No confident prediction of EC number!


Spatial Structural Prediction

Structural Models Based on Templates

Template: 3O26, chain A
Confidence level:very confident
Coverage over the Query: 8-84,145-301
View the alignment between query and template
View the model in PyMOL
Template: 3V2G, chain A
Confidence level:very confident
Coverage over the Query: 5-93,187-193,233-307
View the alignment between query and template
View the model in PyMOL
Template: 2ET6, chain A
Confidence level:very confident
Coverage over the Query: 15-192,233-299
View the alignment between query and template
View the model in PyMOL