Diaphorina citri psyllid: psy16243

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-------550-------560-------570-------580-------590-------600-------610-------620-------630-------640-------650-------660-------670-------680-------690-------700-------710-------720-------730-------740-------750-------760-------770-------780--
MQQPLSLENSRQRFEEIFEGEGLSGILSLGLNLNQKSGPISASKNSTASLNSCLPGERLDHYTTESFVHVSTAYSNCRQPIIEERFYEPPVNPNHLIQITELLNDDMIDKITPGIVDYWPNTYALTKQVAEDMVRRGGAGMPVAMVRPSIDLGILFYSEQFFDPMRKRCPHYLSKMVAVTGDCLKPGVGINSEDRQTLVDNIHVVFHCAATVRFDAHLKVAVSINLRATKALLEMAKEMKQLKFFDPMRKRCPHYLSKMVAVTGDCLKPGVGINSEDRQTLVDNIHVVFHCAATVRFDAHLKVAVSINLRATKALLEMAKEMKQLKSFVHVSTAYSNCRQPIIEERFYEPPVNPNHLIQITELLNDDMIDKITPGIVDYWPNTYALTKQVAEDMVRRGGAGMPVAMVRPSIVIATNKEPIPGWINNHYGPTVIATNKEPIPGWINNHYGPTGIVAGAGLGLLRSMHADPELVADMVPADNVINCIISAAWNVHQTWNEKKAAGKLVADSLDKNYPDDTDIEIYNYVSSTQKPIKWKEFMALNEKAVPEIPSTFAIWAYCFTLNKYKSIHKLYILFLHLLPALIVDTAAKLMGRQPKLLDAYQKIHKFSEVISFFSTQQFTFTNFNTQRLYTKMTEEDRALFNFDMSQLGSFEVHSTLNTLVSTRSLKLLDAYQKIHKFSEVISFFSTQQFTFTNFNTQRLYTKMTEEDRALFNFDMSQLDWEKYMFWHIRGIRAYLVKDPLSTVPDGIRLRRRLLIAHYLLIAALSVLFFFLSVRILTLIFF
cccccccccHHHHHccEEEccccccccccccccccccccHHHHHHHHHHHHHHHHHHHcccccccEEEEEEcccccccccccccccccccccHHHHHHHHHHHccccccccccccccccccccHHHHHHHHHHHHHccccccEEEEccccccccccccccccccccccccccccccEEcccccccccccccHHHHHHHHcccEEEEEEccccccccccccEEEEEccccHHHHHHHHHHHHHHHcHHHHHHccccccccEEECcccccccccccHHHHHHHHccccEEEEEcccccccccHHHHHHHHHHHHHHHHHHHHHcccccEEEEEEcccccccccccccccccccccHHHHHHHHHHHcHHHHccccccccccccccHHHHHHHHHHHHHHccccccEEEEEccccccccccccccccccccccccccccccccccccccccccHHHHHHHccccEEEEEcccccccccccHHHHHHHHHHHHHHHHHHHHHHHHcccccccccccccccccccEEEEccccccccccHHHHHHHHHHccccccccccccccEEEEccHHHHHHHHHHHHHHHHHHHHHHHHHHcccccHHHHHHHHHHHHHcccccccccCEEECcHHHHHHHHHccHHHHccccccccccccHHHHHHHHccccccccHHHHHHHHHHHHccccccEEEEEEEEccHHHHHHHcccccccccEEECccccccHHHHHHHHHHHHHHHHcccccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHcc
***P*******QRFEEIFEGEGLSGILSLGLNLNQKSGPISASKNSTASLNSCLPGERLDHYTTESFVHVSTAYSNCRQPIIEERFYEPPVNPNHLIQITELLNDDMIDKITPGIVDYWPNTYALTKQVAEDMVRRGGAGMPVAMVRPSIDLGILFYSEQFFDPMRKRCPHYLSKMVAVTGDCLKPGVGINSEDRQTLVDNIHVVFHCAATVRFDAHLKVAVSINLRATKALLEMAKEMKQLKFFDPMRKRCPHYLSKMVAVTGDCLKPGVGINSEDRQTLVDNIHVVFHCAATVRFDAHLKVAVSINLRATKALLEMAKEMKQLKSFVHVSTAYSNCRQPIIEERFYEPPVNPNHLIQITELLNDDMIDKITPGIVDYWPNTYALTKQVAEDMVRRGGAGMPVAMVRPSIVIATNKEPIPGWINNHYGPTVIATNKEPIPGWINNHYGPTGIVAGAGLGLLRSMHADPELVADMVPADNVINCIISAAWNVHQTWNEKK*********LDKNYPDDTDIEIYNYVSSTQKPIKWKEFMALNEKAVPEIPSTFAIWAYCFTLNKYKSIHKLYILFLHLLPALIVDTAAKLMGRQPKLLDAYQKIHKFSEVISFFSTQQFTFTNFNTQRLYTKMTEEDRALFNFDMSQLGSFEVHSTLNTLVSTRSLKLLDAYQKIHKFSEVISFFSTQQFTFTNFNTQRLYTKMTEEDRALFNFDMSQLDWEKYMFWHIRGIRAYLVKDPLSTVPDGIRLRRRLLIAHYLLIAALSVLFFFLSVRILTLIFF
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MQQPLSLENSRQRFEEIFEGEGLSGILSLGLNLNQKSGPISASKNSTASLNSCLPGERLDHYTTESFVHVSTAYSNCRQPIIEERFYEPPVNPNHLIQITELLNDDMIDKITPGIVDYWPNTYALTKQVAEDMVRRGGAGMPVAMVRPSIDLGILFYSEQFFDPMRKRCPHYLSKMVAVTGDCLKPGVGINSEDRQTLVDNIHVVFHCAATVRFDAHLKVAVSINLRATKALLEMAKEMKQLKFFDPMRKRCPHYLSKMVAVTGDCLKPGVGINSEDRQTLVDNIHVVFHCAATVRFDAHLKVAVSINLRATKALLEMAKEMKQLKSFVHVSTAYSNCRQPIIEERFYEPPVNPNHLIQITELLNDDMIDKITPGIVDYWPNTYALTKQVAEDMVRRGGAGMPVAMVRPSIVIATNKEPIPGWINNHYGPTVIATNKEPIPGWINNHYGPTGIVAGAGLGLLRSMHADPELVADMVPADNVINCIISAAWNVHQTWNEKKAAGKLVADSLDKNYPDDTDIEIYNYVSSTQKPIKWKEFMALNEKAVPEIPSTFAIWAYCFTLNKYKSIHKLYILFLHLLPALIVDTAAKLMGRQPKLLDAYQKIHKFSEVISFFSTQQFTFTNFNTQRLYTKMTEEDRALFNFDMSQLGSFEVHSTLNTLVSTRSLKLLDAYQKIHKFSEVISFFSTQQFTFTNFNTQRLYTKMTEEDRALFNFDMSQLDWEKYMFWHIRGIRAYLVKDPLSTVPDGIRLRRRLLIAHYLLIAALSVLFFFLSVRILTLIFF

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:0044710 [BP]single-organism metabolic processprobableGO:0008150, GO:0008152
GO:0016620 [MF]oxidoreductase activity, acting on the aldehyde or oxo group of donors, NAD or NADP as acceptorprobableGO:0003824, GO:0016903, GO:0003674, GO:0016491

Prediction of Enzyme Commission Number ?

No confident prediction of EC number!

Spatial Structural Prediction

Structural Models Based on Templates

Template: 4DQV, chain A
Confidence level:very confident
Coverage over the Query: 170-200,214-349,370-422,434-495,516-545
View the alignment between query and template
View the model in PyMOL
Template: 4DQV, chain A
Confidence level:very confident
Coverage over the Query: 15-151
View the alignment between query and template
View the model in PyMOL
Template: 4F6L, chain B
Confidence level:confident
Coverage over the Query: 139-349,376-420,443-492,518-546
View the alignment between query and template
View the model in PyMOL
Template: 1Z45, chain A
Confidence level:confident
Coverage over the Query: 174-200,216-240,256-347,374-495,514-552,571-627
View the alignment between query and template
View the model in PyMOL
Template: 1WMA, chain A
Confidence level:confident
Coverage over the Query: 174-200,215-241,255-414
View the alignment between query and template
View the model in PyMOL