Diaphorina citri psyllid: psy12681


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-------17
MQAQCRQKNFVSLRQEFNPGLPVCKPSLGFRPMPPESHVDSTLIWFKQDPNNYKYWTNELDNFLEKYRDVTKRPGQGQNIVKCDYGVPRPPGKVCDIDMNRFGPCKKENSYSYGKGTPCIFLKLNKIFNWQPEFYNDTNKLPEKMPNDLKNDIKQSISQNAATYLIYF
cHHHHHHHHHHHHHHHccccccccccccEEEccccccccccEEEEEccccccHHHHHHHHHHHHHHHcccccccccccccccccccccccccccEEEEccccccccccccccccccccEEEEEEcccccCECccccccccccccccHHHHHHHHHHHccccccEEEEc
MQAQCRQKNFVSLRQEFNPGLPVCKPSLGFRPMPPESHVDSTLIWFKQDPNNYKYWTNELDNFLEKYRDVTKRPGQGQNIVKCDYGVPRPPGKVCDIDMNRFGPCKKENSYSYGKGTPCIFLKLNKIFNWQPEFYNDTNKLPEKMPNDLKNDIKQSISQNAATYLIYF
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MQAQCRQKNFVSLRQEFNPGLPVCKPSLGFRPMPPESHVDSTLIWFKQDPNNYKYWTNELDNFLEKYRDVTKRPGQGQNIVKCDYGVPRPPGKVCDIDMNRFGPCKKENSYSYGKGTPCIFLKLNKIFNWQPEFYNDTNKLPEKMPNDLKNDIKQSISQNAATYLIYF

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:0006812 [BP]cation transportprobableGO:0006811, GO:0006810, GO:0044765, GO:0008150, GO:0051234, GO:0051179, GO:0044699
GO:0005918 [CC]septate junctionprobableGO:0005575, GO:0070160, GO:0043296, GO:0030054, GO:0005911
GO:0008324 [MF]cation transmembrane transporter activityprobableGO:0022891, GO:0022892, GO:0005215, GO:0015075, GO:0022857, GO:0003674

Prediction of Enzyme Commission Number ?

No confident prediction of EC number!


Spatial Structural Prediction

Structural Models Based on Templates

Template: 3KDP, chain B
Confidence level:very confident
Coverage over the Query: 1-150
View the alignment between query and template
View the model in PyMOL