Diaphorina citri psyllid: psy3718


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-------320-------330-------340-------350-------360-------370-------380-------390-------400-------410-------420-------430-------440-------450-------460-------470-------480-------490-------500-------510-------520-------530-------540---
MENFFFYRGFNPRILLGRVLLPIGESSFHFDPELLNPSFNGFPPLLLSSAPPEFEIKLRNQTSRRGEPSVLQCEAKGEKPIGILWNMNNKRLDPKSDNRYTIREEILPNGVLSDLSIKRTERGDSALFTCEIKSQKISSQQMTYEASGLKKKQNYIFYVTASTNIGEGQPSKNVTLSPSNRVPARIASFNDNFTATYTEDIKLPCLTVGVPAPEIIWKTYHIRIVAENEIGSSEPSDTVTILTAEEAPSGPPTHIKVEATDQNTLKVSWSPPERDHWNGVIQGYYVGYKETSTDKPFLFETVDFSKEEGKEHHLTLSSLKTYTQYSVVVQALNKLGPGPMSEEVKQYTAEGTPEQPPQDNTCTTLTSQTIRVSWVSPPLITANGVIKGYKVVYGPSDTWYGDPKTDICTDIRASWVSPPLITANGVIKGYKVVYGPSDTWYGHPGSFRNHCTWDPRGRNMYEELKSQGRGYLVPRGGPPPCPGSDETLYSRHRGESDKCKNDRVPARIASFNDNFTATYTEDIKLPCLTVGVPAPEIIWKTFL
cccCEEEcccccCEEEcEEEEEccccCEEEEEEEEcccccccccEEEEccccEEEEccccEEECccccEEEEEEEECccccEEEEEEccCEccccccccEEEEEECccccCEEcEEEEEEcccccCEEEEEEEccccccEEEEEEEEcccccccccEEEEEEEccccccccccEEEEccccccccccEEEEEEEEEEECccccccCEEEEcccccccEEEEEEEEEEcccccccccccEEEEccccccccccccEEEEEccccEEEEEECccccccccccccEEEEEEEEcccccccCEEEEEEEcccccCEEEEEcccccccEEEEEEEEEcccccccccccEEEEcccccccccccccEEEECcccEEEEEECcccccccccCEEEEEEEEEEcccccccccEEEEEEEEEECccccEEEEEEEEEEEEEEEcccccccccccccccEEEccccccccccEEEEcccCEEEEcccccccccccEEEEEEEECccccccccccccCEEEEccCEEEEECccEEEEEEEcccccccEEEEEcc
**NFFFYRGFNPRILLGRVLLPIGESSFHFDPELLNPSFNGFPPLLLSSAPPEFEIKLR***S*RGEPSVLQCEAKGEKPIGILWNMNNKRLDPKSDNRYTIREEILPNGVLSDLSIKRTERGDSALFTCEIKSQKISSQQMTY***GLKKKQNYIFYVTASTNI*EGQPSKNVTLSPSNRVPARIASFNDNFTATYTEDIKLPCLTVGVPAPEIIWKTYHIRIVAENEIG********************PT*IKVEATDQNTLKVSWSPPERDHWNGVIQGYYVGYKETSTDKPFLFETVDFSKEEGKEHHLTLSSLKTYTQYSVVVQALNKLGPGPMSEEVKQYTAEGTPEQPPQDNTCTTLTSQTIRVSWVSPPLITANGVIKGYKVVYGPSDTWYGDPKTDICTDIRASWVSPPLITANGVIKGYKVVYGPSDTWYGHPGSFRNHCTWDPRGRNM****KSQGRGYLVPRGGPPPCPGSDETLYS***************ARIASFNDNFTATYTEDIKLPCLTVGVPAPEIIWKTFL
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
MENFFFYRGFNPRILLGRVLLPIGESSFHFDPELLNPSFNGFPPLLLSSAPPEFEIKLRNQTSRRGEPSVLQCEAKGEKPIGILWNMNNKRLDPKSDNRYTIREEILPNGVLSDLSIKRTERGDSALFTCEIKSQKISSQQMTYEASGLKKKQNYIFYVTASTNIGEGQPSKNVTLSPSNRVPARIASFNDNFTATYTEDIKLPCLTVGVPAPEIIWKTYHIRIVAENEIGSSEPSDTVTILTAEEAPSGPPTHIKVEATDQNTLKVSWSPPERDHWNGVIQGYYVGYKETSTDKPFLFETVDFSKEEGKEHHLTLSSLKTYTQYSVVVQALNKLGPGPMSEEVKQYTAEGTPEQPPQDNTCTTLTSQTIRVSWVSPPLITANGVIKGYKVVYGPSDTWYGDPKTDICTDIRASWVSPPLITANGVIKGYKVVYGPSDTWYGHPGSFRNHCTWDPRGRNMYEELKSQGRGYLVPRGGPPPCPGSDETLYSRHRGESDKCKNDRVPARIASFNDNFTATYTEDIKLPCLTVGVPAPEIIWKTFL

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:0044464 [CC]cell partprobableGO:0005575, GO:0005623

Prediction of Enzyme Commission Number ?

No confident prediction of EC number!


Spatial Structural Prediction

Structural Models Based on Templates

Template: 2EDX, chain A
Confidence level:very confident
Coverage over the Query: 231-359
View the alignment between query and template
View the model in PyMOL
Template: 3LPW, chain A
Confidence level:confident
Coverage over the Query: 217-350
View the alignment between query and template
View the model in PyMOL
Template: 2V5Y, chain A
Confidence level:confident
Coverage over the Query: 56-398
View the alignment between query and template
View the model in PyMOL
Template: 3L5H, chain A
Confidence level:probable
Coverage over the Query: 66-105,122-293,305-438
View the alignment between query and template
View the model in PyMOL
Template: 3V2A, chain R
Confidence level:probable
Coverage over the Query: 196-238
View the alignment between query and template
View the model in PyMOL
Template: 2IFG, chain A
Confidence level:probable
Coverage over the Query: 13-132,163-217
View the alignment between query and template
View the model in PyMOL