Diaphorina citri psyllid: psy14737

Local Sequence Feature Prediction

Prediction and Method	Result

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-------550-------560-------570-------580-------590-------600-------610-------620-------630-------640-------650-------660-------670-------680-------690-------700-------710-------720-------730-------740-------750-------760-------770-------780-------790-------800-------810-------820-------830-------840-------850-------860-------870-------880-------890-------900-------910-------920-------930-------940-------950-------960-------970-------980-------990------1000------1010------1020------1030------1040------1050------1060------1070------1080------1090------1100------1110------1120------1130------1140------1150------1160------1170-

MIVYDLENNESYKVKHHYFYFDPLSGNYNVGGVNFQWTDGVFGVALSPVHKEDGYRTLYFHPLSSTREFSVNTKILQNKTTASNSYYEFKVLGSRGPNSQASAESLDEKTGVLFYTQVNKDGVGCWNSYKHANEYSADTTDLVATDSETLVFPNDLKVDKEGYLWVLSDKLSVHIYKGLHTDEINYRIFQTPVKDAIKGTVCDVGTPQRLQFFSLRHIPPIQMFHWKTLLGTDTINAPTYWYLTESITDGSSYFSLLQLLGKRLRLLKLRSHIPCSLISAMSLKCLTLLAGVCLLACRVNAANERLKELFAWKTVDFDFPDDATRAKAIENKEYIQENNLPLGLDRWHDKLFVTIPRWKSGIVSTLNYINLTEAKGNLSPNLKPYPSYEINNIHKKNGTTLVSGFRINVDVCDRLWMVDTGLADILGEGNQISTPRIVVIDLKTDKIIKEHTIAKEDIAAHSFFANILVDTTPNTCDKAFAYIPDLGGFQMIVYDLENNESYKVKHHYFYFDPLSGNYNVGGVNFQWTDGVFGVALSPVHKEDGYRTLYFHPLSSTREFSVNTKILQNKTTASNSYYEFKVLGSRGPNSQASAESLDEKTGVLFYTQVNKDGVGCWNSYKHANEYSADTTDLVATDSETLVFPNDLKVDKEGYLWVLSDKLSVHIYKGLHTDEINYRIFQTPVKDAIKGTVCDVVVTYIGSRGHLELQFGDRHIPPIQMFTGRPMLGTTRPIKPHLLGKRLRLLKLRSHIPCSLISAMSLKCLTLLAGVCLLACRVNAANERLKELFAWKTVDFDFPDDATRAKAIENKEYIQENNLPLGLDRWHDKLFVTIPRWKSGIVSTLNYINLTEAKGNLSPNLKPYPSYEINNIHKKNGTTLVSGFRINVDVCDRLWMVDTGLADILGEGNQISTPRIVVIDLKTDKIIKEHTIAKEDIAAHSFFANILVDTTPNTCDKAFAYIPDLGGFQMIVYDLENNESYKVKHHYFYFDPLSGNYNVGGVNFQWTDGVFGVALSPVHKEDGYRTLYFHPLSSTREFSVNTKILQNKTTASNSYYEFKVLGSRGPNSQATAESLDEKTGVLFYTQVNKDGVGCWNSYKHANEYSADTTDLVATDSETLVFPNDLKVDKEGYLWVLSDKLPVHIHKGLHTDEINYRIFQTPVKDAIKGTVCDV

cEEEEcccccEEEEEccccCCccccccEEEccEEEEEcccEEEEEEcccccccccEEEEEEccccccEEEEEHHHHccccccccccccEEEEcccccccccccEEECcccccEEEEEcccccEEEECccccccccccccCEEEEEccccEEccccCEEcccccEEEEEcccccHHccccccccccEEEEEECHHHHcccccccccccccccccccccccccccccccccccccccccccccccccccccccccHHHHHHHHccEEEEEEEccccHHHHHHHHHHHHHHHHHHHHHHHHHHccccccEEEEEEEccccccccHHHHHHHHccccccccccCECcCEECcccEEEEEcccccccccccEEEEccccccccccccccccccHHccccccccccEEEEEEEEECcccCEEEEEccccccccccccccccEEEEEEcccccEEEEEEcccccccccccccEEEEEcccccccccEEEEccccccEEEEEEccccCEEEEEccccccccccccEEECccEEccccccEEEEEcccccccccEEEEEECccccCEEEEEHHHHccccccccccccEEEEcccccccccccEEECccccEEEEEEcccccEEEEcccccccccccccCEEEEEccccEEccccCEEcccccEEEEEcccccccccccccccccEEEEEECHHHHccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccHHHHHHHHHHHHHHHHHHHHHHHHHccccccEEEEEEEccCCccccHHHHHHHHccccccccccCECcEEECcccEEEEEcccccccccccEEEEccccccccccccccccccHHccccccccccEEEEEEEEECcccCEEEEEccccccccccccccccEEEEEEcccccEEEEEEcccccccccccccEEEEEcccccccccEEEEccccccEEEEEEccccCEEEEEccccccccccccEEECcCEEccccccccccccccccccccEEEEEEEccccCEEEEEHHHHccccccccccccEEEEcccccccccccEEECccccEEEEEEcccccEEEEcccccccccccccCEEEEEccccEEccccCEEccccEEEEEEcccccccccccccccccEEEEEECHHHHcccccccc

MIVYDLENNESYKVKHHYFYFDPLSGNYNVGGVNFQWTDGVFGVALSPVHKEDGYRTLYFHPLSSTREFSVNTKILQNKTTASNSYYEFKVLGS***********LDEKTGVLFYTQVNKDGVGCWNSYKHANEYSADTTDLVATDSETLVFPNDLKVDKEGYLWVLSDKLSVHIYKGLHTDEINYRIFQTPVKDAIKGTVCDVGTPQRLQFFSLRHIPPIQMFHWKTLLGTDTINAPTYWYLTESITDGSSYFSLLQLLGKRLRLLKLRSHIPCSLISAMSLKCLTLLAGVCLLACRVNAANERLKELFAWKTVDFDFPDDATRAKAIENKEYIQENNLPLGLDRWHDKLFVTIPRWKSGIVSTLNYINLTEAKGNLSPNLKPYPSYEINNIHKKNGTTLVSGFRINVDVCDRLWMVDTGLADILGEGNQISTPRIVVIDLKTDKIIKEHTIAKEDIAAHSFFANILVDTTPNTCDKAFAYIPDLGGFQMIVYDLENNESYKVKHHYFYFDPLSGNYNVGGVNFQWTDGVFGVALSPVHKEDGYRTLYFHPLSSTREFSVNTKILQNKTTASNSYYEFKVLGSRGPNSQASAESLDEKTGVLFYTQVNKDGVGCWNSYKHANEYSADTTDLVATDSETLVFPNDLKVDKEGYLWVLSDKLSVHIYKGLHTDEINYRIFQTPVKDAIKGTVCDVVVTYIGSRGHLELQFGDRHIPPIQMFTGRPMLGTTRPIKPHLLGKRLRLLKLRSHIPCSLISAMSLKCLTLLAGVCLLACRVNAANERLKELFAWKTVDFDFPDDATRAKAIENKEYIQENNLPLGLDRWHDKLFVTIPRWKSGIVSTLNYINLTEAKGNLSPNLKPYPSYEINNIHKKNGTTLVSGFRINVDVCDRLWMVDTGLADILGEGNQISTPRIVVIDLKTDKIIKEHTIAKEDIAAHSFFANILVDTTPNTCDKAFAYIPDLGGFQMIVYDLENNESYKVKHHYFYFDPLSGNYNVGGVNFQWTDGVFGVALSPVHKEDGYRTLYFHPLSSTREFSVNTKILQNKTTASNSYYEFKVLGSR********ESLDEKTGVLFYTQVNKDGVGCWNSYKHANEYSADTTDLVATDSETLVFPNDLKVDKEGYLWVLSDKLPVHIHKGLHTDEINYRIFQTPVKDAIKGTVC**

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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:0005576 [CC]	extracellular region	probable	GO:0005575

Prediction of Enzyme Commission Number

No confident prediction of EC number!

Spatial Structural Prediction

Structural Models Based on Templates

Template: 3Q6K, chain A
Confidence level:very confident
Coverage over the Query: 306-695
View the alignment between query and template
View the model in PyMOL

Template: 3Q6K, chain A
Confidence level:very confident
Coverage over the Query: 783-1171
View the alignment between query and template
View the model in PyMOL

Template: 4A0P, chain A
Confidence level:confident
Coverage over the Query: 401-422,435-507,521-662,677-734,748-780,809-900,913-984,998-1140
View the alignment between query and template
View the model in PyMOL

Template: 4A2L, chain A
Confidence level:probable
Coverage over the Query: 340-421,436-513,528-746,779-898,912-1043,1055-1136
View the alignment between query and template
View the model in PyMOL