Diaphorina citri psyllid: psy12819


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-----
METFLPQDGSKTESNNIGKDGETLTHLLKASLGTGILSMPYAFRNAGLTGGIFLTVLVAVICTHCSYILVQCGHVLYRRTKVTSMSFADIGEVAFAKGPAWGRRYARFARICILLGLFLAYFGTCSVYTVIIAKNFSKVINHYTGTELDIRVYISAFLIPLILLSWVPNLKSLAPVSMVANLLMGTGLGITFYYIVWDLHKPMEMPQIADISTMPTFFSIVIFAIEAIGVVISFRTATLLSRPVISRELMIGNGRDHNVQCGHVLYRRTKVTSMSFADIGEVAFAKGPAWGRRYARFARICILLGLFLAYFGTCSVYTVIIAKNFSKSSKISIRISQVINHYTGTELDIRVYISAFLIPLILLSWVPNLKSLAPVSMVANLLMGTGLGITFYYIVYKVAVVPAKIRDEAVQLNHLDNKDYWDPFKERKLAHPVTDGETLTHLLKASLGTGILSMPYAFRNAGLTGGIFLTVLVAVICTHCSYILGWRNTDPLAESFTRYRNSIHALCVRFDLYSRFELSSKISIRISQVINHYTGTELDIRVYISAFLIPLILLSWVPNLKSLAPVSMVANLLMGTGLGITFYYIVYKVAVVPAKIRDEAVQLNHLDNKDYWDPFKERKLAHPVTDGETLTHLLKASLGTGILSMPYAFRNAGLTGGIFLTVLVAVICTHCSYIL
cccccccccccccccccccHHHHHHHHHHHHHcccccHHHHHHHHcccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHcccccccHHHHHHHHHHccccccccccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHccccccccHHHHHHHHHHHHHHHHccccccccHHHHHHHHHHHHHHHHHEEEEEEccccccccccccccccccHHHHHHHHHHHHccccHHHHHHHcccccccccccEEEEcccEEEEEEEEEEEEcccccccccccccccccccccccccHHHHHHHHHHHHHHHHHHccccEEEEEEEEccccccccccccEEEEEEcccccccHHHHHHHHHHHHHHHHHHcccccccHHHHHHHHHHHHHHHcHHEEEEEEEccccccccHHHHHHcccccccccccccccccccccccHHHHHHHHHHHHHccccccccHHHHccccHHHHHHHHHHHHHHHHHHHHHHHHccccccHHHHHHcccHHHHHcccccEEEcccEEEEHHHHHHHHHHHcccccHHHHHHHHHHHHHHHHHcccccccccHHHHHHHHHHHHHHHHHHHHHHHccccccccccHHHHHccccccccccccccccccccccccccccccccccccccHHccHHHHHHHccHHHHHHHHHHHHHHHHHHHHcc
**********************TLTHLLKASLGTGILSMPYAFRNAGLTGGIFLTVLVAVICTHCSYILVQCGHVLYRRTKVTSMSFADIGEVAFAKGPAWGRRYARFARICILLGLFLAYFGTCSVYTVIIAKNFSKVINHYTGTELDIRVYISAFLIPLILLSWVPNLKSLAPVSMVANLLMGTGLGITFYYIVWDLHKPMEMPQIADISTMPTFFSIVIFAIEAIGVVISFRTATLLSRPVISRELMIGNGRDHNVQCGHVLYRRTKVTSMSFADIGEVAFAKGPAWGRRYARFARICILLGLFLAYFGTCSVYTVIIAKNFSKSSKISIRISQVINHYTGTELDIRVYISAFLIPLILLSWVPNLKSLAPVSMVANLLMGTGLGITFYYIVYKVAVVPAKIRDEAVQLNHLD***YWDPFKERKLAHPVTDGETLTHLLKASLGTGILSMPYAFRNAGLTGGIFLTVLVAVICTHCSYILGWRNTDPLAESFTRYRNSIHALCVRFDLYSRFELSSKISIRISQVINHYTGTELDIRVYISAFLIPLILLSWVPNLKSLAPVSMVANLLMGTGLGITFYYIVYKVAVVPAKIRDEAVQLNHLDNKDYWDPFKERKLAHPVTDGETLTHLLKASLGTGILSMPYAFRNAGLTGGIFLTVLVAVICTHCSYIL
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxHHHHHHHHHHHHHHHHHHHHHHHxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxHHHHHHHHHHHHHHHHHHHHHHHxxxxxxxxxxxxxxxxHHHHHHHHHHHHHHHHHHxxxxxxHHHHHHHHHHHHHHHHHHHHHHHHxxxxxxxxxxxxxxxHHHHHHHHHHHHHHHHHHHHHHxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxHHHHHHHHHHHHHHHHHHHHHHHxxxxxxxxxxxxxxxxxxxxxxxxxxHHHHHHHHHHHHHHHHHHxxxxxxHHHHHHHHHHHHHHHHHHHHHHHxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxHHHHHHHHHHHHHHHHHHHHHHHxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxHHHHHHHHHHHHHHHHHHxxxxxHHHHHHHHHHHHHHHHHHHHHHHHHxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxHHHHHHHHHHHHHHHHHHHHHxxx
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
METFLPQDGSKTESNNIGKDGETLTHLLKASLGTGILSMPYAFRNAGLTGGIFLTVLVAVICTHCSYILVQCGHVLYRRTKVTSMSFADIGEVAFAKGPAWGRRYARFARICILLGLFLAYFGTCSVYTVIIAKNFSKVINHYTGTELDIRVYISAFLIPLILLSWVPNLKSLAPVSMVANLLMGTGLGITFYYIVWDLHKPMEMPQIADISTMPTFFSIVIFAIEAIGVVISFRTATLLSRPVISRELMIGNGRDHNVQCGHVLYRRTKVTSMSFADIGEVAFAKGPAWGRRYARFARICILLGLFLAYFGTCSVYTVIIAKNFSKSSKISIRISQVINHYTGTELDIRVYISAFLIPLILLSWVPNLKSLAPVSMVANLLMGTGLGITFYYIVYKVAVVPAKIRDEAVQLNHLDNKDYWDPFKERKLAHPVTDGETLTHLLKASLGTGILSMPYAFRNAGLTGGIFLTVLVAVICTHCSYILGWRNTDPLAESFTRYRNSIHALCVRFDLYSRFELSSKISIRISQVINHYTGTELDIRVYISAFLIPLILLSWVPNLKSLAPVSMVANLLMGTGLGITFYYIVYKVAVVPAKIRDEAVQLNHLDNKDYWDPFKERKLAHPVTDGETLTHLLKASLGTGILSMPYAFRNAGLTGGIFLTVLVAVICTHCSYIL

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:0008324 [MF]cation transmembrane transporter activityprobableGO:0022891, GO:0022892, GO:0005215, GO:0015075, GO:0022857, GO:0003674
GO:0015804 [BP]neutral amino acid transportprobableGO:0006810, GO:0044765, GO:0015849, GO:0006811, GO:0006865, GO:0015711, GO:0071705, GO:0006820, GO:0008150, GO:0071702, GO:0051234, GO:0051179, GO:0044699, GO:0046942
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: 3L1L, chain A
Confidence level:probable
Coverage over the Query: 15-95,106-237,250-259
View the alignment between query and template
View the model in PyMOL
Template: 3L1L, chain A
Confidence level:probable
Coverage over the Query: 430-503
View the alignment between query and template
View the model in PyMOL