Diaphorina citri psyllid: psy353

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-------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------1180------1190------1200------1210------1220------1230------1240------1250------1260------1270------1280------1290------1300------1310------1320------1330------1340------1350------1360---
MPIFGTKTIDKMDDSIGSDMDVEQQLPVFIQCSSTNVVNDWKQKFQQGTLSITDFKEHWKVWVPHLLSPEPKSSCLDWSFDENKVQNILFDSLEEFICDGSPEEIFQKVSQMDNPPSVCGRVFKMGEPTYNCRECGMDATCVLCVDCFKKSTHRNHKYKMGTSNAGGCCDCGDVEAWKKEPYCDVHIIGTQKRHESGSILPPDLAQRARLTFSSVLRYAYQLLTTDYGPSIPLDLKVPPEDVLQITYSHNSDNFCTVLYNDEFHTFEQLLTTDYGPSIPLDLKVPPEDVLQITYSHNSDNFCTVLYNDEFHTFEQVINTLVRSLKCSQKDAIEFVTNIDREGRAAVKCSNFSHCEDLKSEIERFTSRHGNRPIKVAVVNSVVIAHQIYAMRLLTWLQKVLGYSESFRMLFSEVCLEEKAPDLSIVEGILVKDSQLWKAARLHWHRLFISGMLMEYESKKSFARVFTKKYGSIMKDFIKDDHDHSFSIGSMSVQIYTVPTLAHYLIAHEDVLFILLSTFISECTRKLNKKKKLEFERNIPNASFKRAQYILYDLRYLLGVPPDTWTPELRKGFAHGLQFLLDLLSYMQGMDEVTRQVGQHMEYEPEWESAFNLHIKLAPVITLFLQWCGTDKEILIKAYRATMKTLCADEGIDLGQLGEVREVGDHSVACLHYDVSTQPVSIHLPLSRFLAGLYIHLDKFNLSFYSRELLSDNCFFSRLTPEQLIEPVLRTQVMISQVHAGMWRRNGYSLLNQIYFYHNVKCRNEMLDKDIILLQIGASLIESNEFLIHVLNKFNLINWVYVNFESNSLKNPEEESIRQTISLVEEFLHLLILITGERYMPGIGRVASDDCIKKEIIQQLCIKPLPHSELNKALPDDSNHETGLERVINEIADFKKPTQSSGKGVYELKPEFYDGYNVFFYHYSREEVSRSEEEQRKRRKAAKELECVPPPKLPPLLPPFSMVTNLLQCDVMLHVMSLVLERSINLRARSFSEAQLHKILHLIGYALHEEESGNYQFFTFTDRAEKWNIEQHIEELCSSPRVEAHKVPQDRKPLEINRLINLPDDYSELINTVSLFTCPNSDREDSRNPALCLICGDMLCSQSYCCQTELFFKMSVGACTYHSHFCGAGVGMFLRVRECEVLFLASPNRGCFMSPPYLDDYGETDQGLRRGNPLRLCKERYKKLQRLWLSHGIHEEISRSIEASHNLITTHCAGLLDKPGVIKLMKKWKSNEKLKVKTERDKSIAKSVLAAFVQQSTVIGAVVNALDFGSGSSGSSPSQVIKFDDYGETDQGLRRGNPLRLCKERYKKLQRLWLSHGIHEEISRSIEASHNLITTQWAHAPITLTSAGRAWVCSCGCGNARSCF
ccccccccccccccccccccccccccccccccccHHHHHHHHHHHHHccccHHHHHHHHHHHcccccccccccccccccccHHHHHHHHHHHHHHHHcccccHHHHHHHHccccccccccccccccccEEEEccccccccEEEccccccccccccccEEEEEcccccccccccccccccccccccccccccccccccccccHHHHHHHHHHHHHHHHHHHHHHHcccccccccccccccHHHHHcccccccccEEEEEEccccccHHHccccccccccccccccccccHHHccccccccccEEEEcccccccHHHHHHHHHHHHcccHHHHHHHHHHHcccccEEEECcccHHHHHHHHHHHHHHccccccccEEEEEcHHHHHHHHHHHHHHHHHHHHccccHHHHHHHHHHHccccccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHccccHHHHHHHHHHHHHHHHHHHHHHHcccccccccEEEEEEEEEcccHHHHHHHHHHHHHHHHHHHHHHHHHHHccccccEEEEccccccccHHHHHHHHHHHHHHccccccccHHHHHccHHHHHHHHHHHHHHcccccHHEEcccccccccccHHHHHHHHHHHHHHHHHHHHccccHHHHHHHHHHHHHHHHHcccccccccccEEEEcccccccEEEEEcccccccccHHHHHHHHHHHHHcccccccccccccccccccccccHHHHHHHHHHHHHHHHHHcccEEEEcHHHHHHHHHHHccccccHHHHHHHHHHHHHHHccccHHHHHHHHHHHccccccccccccccccccccHHHHHHHHHHHHHHHHHHHHHHHcccccccccccHHHHHHHHHHHHHHcccccHHHHHHHccccccccccHHHHHHHHHccccccccccccEEEEccccccccccccccccHHHHHHHHHHHHHHHHHccccccccccccccccccHHHHHHHHHHHHHHHHHHHHHHHHHccccccccHHHHHHHHHHHHHHHcccccccccccccccccccHHHHHHHHHHcccccccccccccccccHHHHHHccccccHHHHHHHHccccccccccccccccEEEEEcccEEcccccccccccccccccccccHHHHHccccEEEEEEEcccEEEEEEcccccCCcccccccccccccccccccccccccHHHHHHHHHHHHHccccHHHHHHHHccccccccccccccccccHHHHHHHHHHccccccccccccccccHHHHHHHHccccEEEEHHHHHHccccccccccccccccccccccccccccccccccHHHHHHHHHHHHHcccHHHHHHHHHHcccccccccccccEEEcccccEEEEEcccccccccc
*******************MDVEQQLPVFIQCSSTNVVNDWKQKFQQGTLSITDFKEHWKVWVPHLLSPEPKSSCLDWSFDENKVQNILFDSLEEFICDGSPEEIFQKV******PSVCGRVFKMGEPTYNCRECGMDATCVLCVDCFKKSTHRNHKYKMGTSNAGGCCDCGDVEAWKKEPYCDVHIIGT******GSILPPDLAQRARLTFSSVLRYAYQLLTTDYGPSIPLDLKVPPEDVLQITYSHNSDNFCTVLYNDEFHTFEQLLTTDYGPSIPLDLKVPPEDVLQITYSHNSDNFCTVLYNDEFHTFEQVINTLVRSLKCSQKDAIEFVTNIDREGRAAVKCSNFSHCEDLKSEIERFTSRHGNRPIKVAVVNSVVIAHQIYAMRLLTWLQKVLGYSESFRMLFSEVCLEEKAPDLSIVEGILVKDSQLWKAARLHWHRLFISGMLMEYESKKSFARVFTKKYGSIMKDFIKDDHDHSFSIGSMSVQIYTVPTLAHYLIAHEDVLFILLSTFISECTRKLNKKKKLEFERNIPNASFKRAQYILYDLRYLLGVPPDTWTPELRKGFAHGLQFLLDLLSYMQGMDEVTRQVGQHMEYEPEWESAFNLHIKLAPVITLFLQWCGTDKEILIKAYRATMKTLCADEGIDLGQLGEVREVGDHSVACLHYDVSTQPVSIHLPLSRFLAGLYIHLDKFNLSFYSRELLSDNCFFSRLTPEQLIEPVLRTQVMISQVHAGMWRRNGYSLLNQIYFYHNVKCRNEMLDKDIILLQIGASLIESNEFLIHVLNKFNLINWVYVNFESNSLKNPEEESIRQTISLVEEFLHLLILITGERYMPGIGRVASDDCIKKEIIQQLCIKPLPHSELNKALPDDSNHETGLERVINEIADFKKPTQSSGKGVYELKPEFYDGYNVFFYHYSREEVSRS***********KELECVPPPKLPPLLPPFSMVTNLLQCDVMLHVMSLVLERSINLRARSFSEAQLHKILHLIGYALHEEESGNYQFFTFTDRAEKWNIEQHIEELCSSPRVEAHKVPQDRKPLEINRLINLPDDYSELINTVSLFTCPNSDREDSRNPALCLICGDMLCSQSYCCQTELFFKMSVGACTYHSHFCGAGVGMFLRVRECEVLFLASPNRGCFMSPPYLDDYGETDQGLRRGNPLRLCKERYKKLQRLWLSHGIHEEISRSIEASHNLITTHCAGLLDKPGVIKLMKKWKSNEKLKV*****KSIAKSVLAAFVQQSTVIGAVVNALDFGSGSSGSSPSQVIKFDDYGETDQGLRRGNPLRLCKERYKKLQRLWLSHGIHEEISRSIEASHNLITTQWAHAPITLTSAGRAWVCSCGCGNARSCF
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MPIFGTKTIDKMDDSIGSDMDVEQQLPVFIQCSSTNVVNDWKQKFQQGTLSITDFKEHWKVWVPHLLSPEPKSSCLDWSFDENKVQNILFDSLEEFICDGSPEEIFQKVSQMDNPPSVCGRVFKMGEPTYNCRECGMDATCVLCVDCFKKSTHRNHKYKMGTSNAGGCCDCGDVEAWKKEPYCDVHIIGTQKRHESGSILPPDLAQRARLTFSSVLRYAYQLLTTDYGPSIPLDLKVPPEDVLQITYSHNSDNFCTVLYNDEFHTFEQLLTTDYGPSIPLDLKVPPEDVLQITYSHNSDNFCTVLYNDEFHTFEQVINTLVRSLKCSQKDAIEFVTNIDREGRAAVKCSNFSHCEDLKSEIERFTSRHGNRPIKVAVVNSVVIAHQIYAMRLLTWLQKVLGYSESFRMLFSEVCLEEKAPDLSIVEGILVKDSQLWKAARLHWHRLFISGMLMEYESKKSFARVFTKKYGSIMKDFIKDDHDHSFSIGSMSVQIYTVPTLAHYLIAHEDVLFILLSTFISECTRKLNKKKKLEFERNIPNASFKRAQYILYDLRYLLGVPPDTWTPELRKGFAHGLQFLLDLLSYMQGMDEVTRQVGQHMEYEPEWESAFNLHIKLAPVITLFLQWCGTDKEILIKAYRATMKTLCADEGIDLGQLGEVREVGDHSVACLHYDVSTQPVSIHLPLSRFLAGLYIHLDKFNLSFYSRELLSDNCFFSRLTPEQLIEPVLRTQVMISQVHAGMWRRNGYSLLNQIYFYHNVKCRNEMLDKDIILLQIGASLIESNEFLIHVLNKFNLINWVYVNFESNSLKNPEEESIRQTISLVEEFLHLLILITGERYMPGIGRVASDDCIKKEIIQQLCIKPLPHSELNKALPDDSNHETGLERVINEIADFKKPTQSSGKGVYELKPEFYDGYNVFFYHYSREEVSRSEEEQRKRRKAAKELECVPPPKLPPLLPPFSMVTNLLQCDVMLHVMSLVLERSINLRARSFSEAQLHKILHLIGYALHEEESGNYQFFTFTDRAEKWNIEQHIEELCSSPRVEAHKVPQDRKPLEINRLINLPDDYSELINTVSLFTCPNSDREDSRNPALCLICGDMLCSQSYCCQTELFFKMSVGACTYHSHFCGAGVGMFLRVRECEVLFLASPNRGCFMSPPYLDDYGETDQGLRRGNPLRLCKERYKKLQRLWLSHGIHEEISRSIEASHNLITTHCAGLLDKPGVIKLMKKWKSNEKLKVKTERDKSIAKSVLAAFVQQSTVIGAVVNALDFGSGSSGSSPSQVIKFDDYGETDQGLRRGNPLRLCKERYKKLQRLWLSHGIHEEISRSIEASHNLITTQWAHAPITLTSAGRAWVCSCGCGNARSCF

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:0070728 [MF]leucine bindingprobableGO:0043168, GO:0043169, GO:0031406, GO:0043167, GO:0003674, GO:0005488, GO:0016597
GO:0043232 [CC]intracellular non-membrane-bounded organelleprobableGO:0044464, GO:0005623, GO:0005622, GO:0005575, GO:0043229, GO:0043228, GO:0044424, GO:0043226
GO:0071233 [BP]cellular response to leucineprobableGO:0071229, GO:0070887, GO:0044699, GO:0010243, GO:0043201, GO:0043200, GO:0051716, GO:0071417, GO:0071310, GO:0071495, GO:0009719, GO:0071230, GO:0009987, GO:0044763, GO:0001101, GO:0042221, GO:0010033, GO:1901700, GO:1901701, GO:1901698, GO:1901699, GO:0008150, GO:0050896
GO:0044446 [CC]intracellular organelle partprobableGO:0044464, GO:0005623, GO:0005622, GO:0005575, GO:0043229, GO:0044424, GO:0043226, GO:0044422

Prediction of Enzyme Commission Number ?

No confident prediction of EC number!

Spatial Structural Prediction

Structural Models Based on Templates

Template: 3NIS, chain A
Confidence level:confident
Coverage over the Query: 113-187
View the alignment between query and template
View the model in PyMOL
Template: 2DOA, chain A
Confidence level:confident
Coverage over the Query: 850-932
View the alignment between query and template
View the model in PyMOL
Template: 2W9R, chain A
Confidence level:probable
Coverage over the Query: 299-379
View the alignment between query and template
View the model in PyMOL