Diaphorina citri psyllid: psy15568

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-
MLRKMQASFAWDWGPAMPSVGICDIYHIIIENESKQNLELGEKSVELEGYHVARIRDILTDITYHEDLKSWHLSVRVILEAGLSQAVVKAKLTAELAVGKKPLRVDSLVNAEPSHGEIEVVSTLMVLASEVELWWPNGYGEQPLYNLQITLASGVEMSTKSIKIGFRTVELIQDHVDPNHLEKGRYFYFEVNKVPIYSKGSNLIPVDVLPERSNNESTIRDLLVSTKEANMNMLRVWGGGVYMSDYFYETCDELGILIWQDMMFACNNYPATPTFLQSVRSEISQTVRRVQHHPCIAVWAGNNEMEAHNYDYYQNLWDPSTAPKSRFCSEFGIQSLPQLSTFQKVATEADLASWRTPFFDSRQHLAGGTGILESSVGHQFEIGNLTLEYFAYLSQCMAAIHALHGRYATDQAGAIKTITEQMRRDKGVLREDGSGHNMGALYWQLNDIYQAGAIKTITEQMRRDKGVLREDGSGHNMGALYWQLNDVWQAPTWSSIDYDGNWKMLHYFARKFFAPVLISPVLNVSSRTLEVVLLNDPNRPLHNVTIVTESYAWNDTRPFRSVKTPLVTVVSGKMRKRGCIVSKLLAKMMCTSGLKHIITMDLHQKEIQGFFDCPVDNLRASPFLLQYIQDSIPDYKNAVIVAKNPGAAKKATSYAERLRLGIAVIHGEQKESESDEYEVDLTGRPDKVYLSGLPDRVLISHVSQIPDYKNAVIVAKNPGAAKKATSYAERLRLGIAVIHGEQKESESDEYEVDLTRYIRENPELYYKEYAELYVNTLKPIVLQYDPTRPYLTSSPTNGIESEKAKYALADNPYSNIYGDSGWTGVSSPSPCPAPLLSYHGDGSKEKPPISVVGDVGGRVAIMVDDMVDDVHSFVAAAEVLKDRGAYKIYVLATHGLLFDYDGNWKMLHYFARKFFAPVLISPVFNVSSRTLEVVLLNDPNRPLHNVTIVTESYAWNDTRPFRSVKTPLVTVKLCAAEEIQGFFDCPVDNLRASPFLLQYIQDSVVVTNTIPHDVQKLQCPKIKTVDISILLSEAIRRMHNKESMSYLFRNVDGRASPPPSSIAPPSSPAVDLVTKTMPSVDGRASPPPPPVLPPSSRTMEMDVGVPQHPAKEKPPISVVGDVGGRVAIMVDDMVDDVHSFVAAAEVLKDRGAYKIYVLATHGLLSSDAPLLIEESPIDEVVVTNTIPHDVQKLQCPKIKTVDISILLSEAIRRMHNKESMSYLFRNVTLED
cccccccccccccccccccccccccEEEEEccccccccccccccEEEEEccEEEEEEEEEEEEEEcccEEEEEEEEEEEEEcccccEEEEEEEEEEEEccccEEEEEEEEcccccccEEEEEEEEEEcccccccccccccccccEEEEEEEEcccEEEEEEEEEEEEEEEEEECcccccccccccEEEEEEccEEEEEcccccccccccccccccHHHHHHHHHHHHHccccEEEECcccccccHHHHHHHHHcccEEEEEcccccccccccHHHHHHHHHHHHHHHHHHcccccEEEEcccccccccHHHHHccccccccccccccccccccccccccHHHHHcccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccHHHHHHHHHHHccccccccccccccccHHHHHHHHHHHHHHHHHHHHHHHHHcccccccccccccCEEEEEEEccccccccEEEECcccccHHHHHHHHHHHccccccEEECccccEEEEEEEccccccccccEEEEEEEEcccccccccccccCEEECcccccccccHHHHHHHHHHcccccEEEEEEcccccccccCCccccccccccccHHHHHHHHcccccccEEEEccccccccHHHHHHHHcccEEEEEcccccccccccccccccccccccccccccccccccccccccccccEEEcccccccccccHHHHHcccccccccccccccccccccccHHHHHcccccccccHHHHHHccccccEEEcccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccEEEccccccEEEEcccccccHHHHHHHHHHHHHccccEEEEEEEcccccccccHHHHHHHHHHcccccEEEcccEEccccEEEEEEEEcccccccccEEEEEEEEcccccccccccccccHHccccccccccccccccccccccHHHHHHHHHccEEccccccccccccccccccccccccHHHHHHHHcccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccEEEEECccccEEEEEEcccccHHHHHHHHHHHHHccccEEEEEEEEcccccccHHHHHcccccEEEEEcccccccHHccccccCEEEcHHHHHHHHHcccccccHHHHcccccccc
MLRKMQASFAWDWGPAMPSVGICDIYHIIIENESKQNLELGEKSVELEGYHVARIRDILTDITYHEDLKSWHLSVRVILEAGLSQAVVKAKLTAELAVGKKPLRVDSLVNAEPSHGEIEVVSTLMVLASEVELWWPNGYGEQPLYNLQITLASGVEMSTKSIKIGFRTVELIQDHVDPNHLEKGRYFYFEVNKVPIYSKGSNLIPVDVLPERSNNESTIRDLLVSTKEANMNMLRVWGGGVYMSDYFYETCDELGILIWQDMMFACNNYPATPTFLQSVRSEISQTVRRVQHHPCIAVWAGNNEMEAHNYDYYQNLWDPSTAPKSRFCSEFGIQSLPQLSTFQKVATEADLASWRTPFFDSRQHLAGGTGILESSVGHQFEIGNLTLEYFAYLSQCMAAIHALHGRYATDQAGAIKTITEQMRRDKGVLREDGSGHNMGALYWQLNDIYQAGAIKTITEQMRRDKGVLREDGSGHNMGALYWQLNDVWQAPTWSSIDYDGNWKMLHYFARKFFAPVLISPVLNVSSRTLEVVLLNDPNRPLHNVTIVTESYAWNDTRPFRSVKTPLVTVVSGKMRKRGCIVSKLLAKMMCTSGLKHIITMDLHQKEIQGFFDCPVDNLRASPFLLQYIQDSIPDYKNAVIVAKNPGAAKKATSYAERLRLGIAVIHGEQ***********LTGRPDKVYLSGLPDRVLISHVSQIPDYKNAVIVAKNPGAAKKATSYAERLRLGIAVIHG**********EVDLTRYIRENPELYYKEYAELYVNTLKPIVLQYDPTRPYL**************YALADNPYSNIYGDSGWTGV*SPSPC*****************ISVVGDVGGRVAIMVDDMVDDVHSFVAAAEVLKDRGAYKIYVLATHGLLFDYDGNWKMLHYFARKFFAPVLISPVFNVSSRTLEVVLLNDPNRPLHNVTIVTESYAWNDTRPFRSVKTPLVTVKLCAAEEIQGFFDCPVDNLRASPFLLQYIQDSVVVTNTIPHDVQKLQCPKIKTVDISILLSEAIRRMHNKESMSYL********************************************************************ISVVGDVGGRVAIMVDDMVDDVHSFVAAAEVLKDRGAYKIYVLATHGLLSSDAPLLIEESPIDEVVVTNTIPHDVQKLQCPKIKTVDISILLSEAIRRMHNKESMSYLFRNVT***
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MLRKMQASFAWDWGPAMPSVGICDIYHIIIENESKQNLELGEKSVELEGYHVARIRDILTDITYHEDLKSWHLSVRVILEAGLSQAVVKAKLTAELAVGKKPLRVDSLVNAEPSHGEIEVVSTLMVLASEVELWWPNGYGEQPLYNLQITLASGVEMSTKSIKIGFRTVELIQDHVDPNHLEKGRYFYFEVNKVPIYSKGSNLIPVDVLPERSNNESTIRDLLVSTKEANMNMLRVWGGGVYMSDYFYETCDELGILIWQDMMFACNNYPATPTFLQSVRSEISQTVRRVQHHPCIAVWAGNNEMEAHNYDYYQNLWDPSTAPKSRFCSEFGIQSLPQLSTFQKVATEADLASWRTPFFDSRQHLAGGTGILESSVGHQFEIGNLTLEYFAYLSQCMAAIHALHGRYATDQAGAIKTITEQMRRDKGVLREDGSGHNMGALYWQLNDIYQAGAIKTITEQMRRDKGVLREDGSGHNMGALYWQLNDVWQAPTWSSIDYDGNWKMLHYFARKFFAPVLISPVLNVSSRTLEVVLLNDPNRPLHNVTIVTESYAWNDTRPFRSVKTPLVTVVSGKMRKRGCIVSKLLAKMMCTSGLKHIITMDLHQKEIQGFFDCPVDNLRASPFLLQYIQDSIPDYKNAVIVAKNPGAAKKATSYAERLRLGIAVIHGEQKESESDEYEVDLTGRPDKVYLSGLPDRVLISHVSQIPDYKNAVIVAKNPGAAKKATSYAERLRLGIAVIHGEQKESESDEYEVDLTRYIRENPELYYKEYAELYVNTLKPIVLQYDPTRPYLTSSPTNGIESEKAKYALADNPYSNIYGDSGWTGVSSPSPCPAPLLSYHGDGSKEKPPISVVGDVGGRVAIMVDDMVDDVHSFVAAAEVLKDRGAYKIYVLATHGLLFDYDGNWKMLHYFARKFFAPVLISPVFNVSSRTLEVVLLNDPNRPLHNVTIVTESYAWNDTRPFRSVKTPLVTVKLCAAEEIQGFFDCPVDNLRASPFLLQYIQDSVVVTNTIPHDVQKLQCPKIKTVDISILLSEAIRRMHNKESMSYLFRNVDGRASPPPSSIAPPSSPAVDLVTKTMPSVDGRASPPPPPVLPPSSRTMEMDVGVPQHPAKEKPPISVVGDVGGRVAIMVDDMVDDVHSFVAAAEVLKDRGAYKIYVLATHGLLSSDAPLLIEESPIDEVVVTNTIPHDVQKLQCPKIKTVDISILLSEAIRRMHNKESMSYLFRNVTLED

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
Phosphoribosyl pyrophosphate synthase-associated protein 1 Seems to play a negative regulatory role in 5-phosphoribose 1-diphosphate synthesis.confidentQ9D0M1
Phosphoribosyl pyrophosphate synthase-associated protein 2 Seems to play a negative regulatory role in 5-phosphoribose 1-diphosphate synthesis.confidentQ28DH0
Phosphoribosyl pyrophosphate synthase-associated protein 2 Seems to play a negative regulatory role in 5-phosphoribose 1-diphosphate synthesis.confidentQ5ZL26

Prediction of Gene Ontology Terms ?

GO Term ?Description ?Confidence Level ?Parent GO Terms ?
GO:0009165 [BP]nucleotide biosynthetic processprobableGO:0044249, GO:0034641, GO:0006807, GO:0044281, GO:1901362, GO:1901360, GO:1901576, GO:0044710, GO:0008150, GO:0071704, GO:0018130, GO:0006139, GO:0009987, GO:0006725, GO:0009058, GO:0009117, GO:0008152, GO:0034654, GO:0090407, GO:0055086, GO:0046483, GO:0044238, GO:0044271, GO:0044237, GO:0006796, GO:1901293, GO:0006793, GO:0019637, GO:0019438, GO:0006753
GO:0000287 [MF]magnesium ion bindingprobableGO:0043169, GO:0046872, GO:0003674, GO:0005488, GO:0043167
GO:0004749 [MF]ribose phosphate diphosphokinase activityprobableGO:0016772, GO:0016740, GO:0016778, GO:0003674, GO:0003824
GO:0002189 [CC]ribose phosphate diphosphokinase complexprobableGO:0043234, GO:0005575, GO:0032991
GO:0043086 [BP]negative regulation of catalytic activityprobableGO:0019222, GO:0050790, GO:0065007, GO:0044092, GO:0008150, GO:0065009, GO:0050789
GO:0030234 [MF]enzyme regulator activityprobableGO:0003674

Prediction of Enzyme Commission Number ?

No confident prediction of EC number!

Spatial Structural Prediction

Structural Models Based on Templates

Template: 3DAH, chain A
Confidence level:very confident
Coverage over the Query: 920-1004,1017-1039,1074-1079,1123-1223
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Template: 2JI4, chain A
Confidence level:very confident
Coverage over the Query: 526-556,579-666,848-900,986-1049
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Template: 2JI4, chain A
Confidence level:very confident
Coverage over the Query: 920-1040,1075-1081,1115-1230
View the alignment between query and template
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Template: 2JE8, chain A
Confidence level:very confident
Coverage over the Query: 1-23,43-390,426-427,442-618,631-693
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Template: 2JE8, chain A
Confidence level:very confident
Coverage over the Query: 720-958
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Template: 2WBK, chain A
Confidence level:confident
Coverage over the Query: 3-23,43-546
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Template: 2VZO, chain A
Confidence level:probable
Coverage over the Query: 20-430,444-608
View the alignment between query and template
View the model in PyMOL