Diaphorina citri psyllid: psy6207


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---
MECVPVCTDECIRGTCIAPNTCKCEVGFGGPTCNIAKDAKTKPTDTYTFRLMFPQCMDPCPEGTWGKQCVHYCSCPVESMECSRIDGNCSCPPGFRGAKCKERTCPDGLYGEGCDRTCECNVENTKLCVPVCTDECIRGTCIAPNTCKCEVGFGGPTCNIECPEGHYGPDCKLACQCENGAGCDPNTGACDCLDGYMGTHCEEVCGPGRFGQNCSQECQCRNGAECHPATGECSCQPGFTGSLCEERCPPGTHGPSCINRCRCQNGAICNPANGQCLCAPGWMGSVCNVPCTPGMWGQGCTVPCECFNGASCHHVTGECQCEPGFKGQKCMDPCPEGTWGKQCVHYCSCPVESMECSRIDGNCSCPPGFRGAKCKERTCPDGLYGEGCDRTCECNVENTKLCHAVTGKCECGPGWDGLTCDRPCPITRWGDNCSQHCNCKNDALCFPRNGTNTYQYFFLQSLTLFTFLSLTHSGFSGRHCEKPCPQGSYGQDCSQTCLCSKEGSASCSPGSGQCVCRPGGAGQLCDRPCSEGRYGQNCTQECRCMNGAACNPQDGTCLCPAGYYGPLCQKRCEFMTYGRNCAQACTCFTENSQGCDIVTGKCICRPGFKGHRCETQCSNPNTYGEDCSLDCGCNNGGTCNQLDGGCNCGRGYQGKLCTAPCPEGQYGYNCKEECLTKGQDVPVRTAVSHALKVHMGINARRYVNVRMVATFNTTLYLYLFVNLTYGILYKTLVRLRECEERCPPGTHGPSCINRCRCQNGAICNPANGQCLCAPGWMGSVCNVPCTPGMWGQGCTVPCECFNGASCHHVTGECQCEPGFKGQK
ccccccccccccccccccccEEEcccccccccccccccccccccccccccccccccccccccccccccccccccccccccCCcccccCEEcccccccccccccccccccccccccccccccccccccccccccccccccccccccEEEcccccccccccccccccccccccccccccccccCECccccEEEcccccccccccccccccccccccccccccccccCECccccEEEcccccccccccccccccccccccccccccccccCECccccEEEcccccccccccccccccccccccccccccccccCECccccEEEcccccccccccccccccccccccccccccccccccccccccEEccccccccccccccccccccccccccccccccccccccccccccEEEcccccccccccccccccccccccccccccccccCCccccccccccccccccccccccEEccccccccccccccccccccccccccccccccccCECccccccEEEcccccccccccccccccccccccccccccccccCECccccEEEccccccccccccccccccccccccccccccccccccccccccEEEccccccccccccccccccccccccccccccccccCECccccEEEccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccCECccccEEEcccccccccccccccccccccccccccccccccCECccccEEEccccccccc
MECVPVCTDECIRGTCIAPNTCKCEVGFGGPTCNIAKDAKTKPTDTYTFRLMFPQCMDPCPEGTWGKQCVHYCSCPVESMECSRIDGNCSCPPGFRGAKCKERTCPDGLYGEGCDRTCECNVENTKLCVPVCTDECIRGTCIAPNTCKCEVGFGGPTCNIECPEGHYGPDCKLACQCENGAGCDPNTGACDCLDGYMGTHCEEVCGPGRFGQNCSQECQCRNGAECHPATGECSCQPGFTGSLCEERCPPGTHGPSCINRCRCQNGAICNPANGQCLCAPGWMGSVCNVPCTPGMWGQGCTVPCECFNGASCHHVTGECQCEPGFKGQKCMDPCPEGTWGKQCVHYCSCPVESMECSRIDGNCSCPPGFRGAKCKERTCPDGLYGEGCDRTCECNVENTKLCHAVTGKCECGPGWDGLTCDRPCPITRWGDNCSQHCNCKNDALCFPRNGTNTYQYFFLQSLTLFTFLSLTHSGFSGRHCEKPCPQGSYGQDCSQTCLCSKEGSASCSPGSGQCVCRPGGAGQLCDRPCSEGRYGQNCTQECRCMNGAACNPQDGTCLCPAGYYGPLCQKRCEFMTYGRNCAQACTCFTENSQGCDIVTGKCICRPGFKGHRCETQCSNPNTYGEDCSLDCGCNNGGTCNQLDGGCNCGRGYQGKLCTAPCPEGQYGYNCKEECLTKGQDVPVRTAVSHALKVHMGINARRYVNVRMVATFNTTLYLYLFVNLTYGILYKTLVRLRECEERCPPGTHGPSCINRCRCQNGAICNPANGQCLCAPGWMGSVCNVPCTPGMWGQGCTVPCECFNGASCHHVTGECQCEPGFK***
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MECVPVCTDECIRGTCIAPNTCKCEVGFGGPTCNIAKDAKTKPTDTYTFRLMFPQCMDPCPEGTWGKQCVHYCSCPVESMECSRIDGNCSCPPGFRGAKCKERTCPDGLYGEGCDRTCECNVENTKLCVPVCTDECIRGTCIAPNTCKCEVGFGGPTCNIECPEGHYGPDCKLACQCENGAGCDPNTGACDCLDGYMGTHCEEVCGPGRFGQNCSQECQCRNGAECHPATGECSCQPGFTGSLCEERCPPGTHGPSCINRCRCQNGAICNPANGQCLCAPGWMGSVCNVPCTPGMWGQGCTVPCECFNGASCHHVTGECQCEPGFKGQKCMDPCPEGTWGKQCVHYCSCPVESMECSRIDGNCSCPPGFRGAKCKERTCPDGLYGEGCDRTCECNVENTKLCHAVTGKCECGPGWDGLTCDRPCPITRWGDNCSQHCNCKNDALCFPRNGTNTYQYFFLQSLTLFTFLSLTHSGFSGRHCEKPCPQGSYGQDCSQTCLCSKEGSASCSPGSGQCVCRPGGAGQLCDRPCSEGRYGQNCTQECRCMNGAACNPQDGTCLCPAGYYGPLCQKRCEFMTYGRNCAQACTCFTENSQGCDIVTGKCICRPGFKGHRCETQCSNPNTYGEDCSLDCGCNNGGTCNQLDGGCNCGRGYQGKLCTAPCPEGQYGYNCKEECLTKGQDVPVRTAVSHALKVHMGINARRYVNVRMVATFNTTLYLYLFVNLTYGILYKTLVRLRECEERCPPGTHGPSCINRCRCQNGAICNPANGQCLCAPGWMGSVCNVPCTPGMWGQGCTVPCECFNGASCHHVTGECQCEPGFKGQK

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
Multiple epidermal growth factor-like domains protein 11 May regulate the mosaic spacing of specific neuron subtypes in the retina through homotypic retinal neuron repulsion. Mosaics provide a mechanism to distribute each cell type evenly across the retina, ensuring that all parts of the visual field have access to a full set of processing elements.confidentQ80T91
Multiple epidermal growth factor-like domains protein 10 Membrane receptor involved in phagocytosis. May also regulate homotypic retinal neuron repulsion. May play role in cell adhesion and motility. May also be an essential factor in the regulation of myogenesis, controlling the balance between skeletal muscle satellite cells proliferation and differentiation.confidentA0JM12
Multiple epidermal growth factor-like domains protein 11 May regulate the mosaic spacing of specific neuron subtypes in the retina through homotypic retinal neuron repulsion. Mosaics provide a mechanism to distribute each cell type evenly across the retina, ensuring that all parts of the visual field have access to a full set of processing elements.confidentA6BM72

Prediction of Gene Ontology Terms ?

GO Term ?Description ?Confidence Level ?Parent GO Terms ?
GO:0001891 [CC]phagocytic cupprobableGO:0016020, GO:0044464, GO:0005623, GO:0005575, GO:0071944, GO:0005886, GO:0044425, GO:0044459
GO:0050794 [BP]regulation of cellular processprobableGO:0008150, GO:0065007, GO:0050789
GO:0044707 [BP]single-multicellular organism processprobableGO:0032501, GO:0008150, GO:0044699
GO:0016337 [BP]cell-cell adhesionprobableGO:0009987, GO:0008150, GO:0007155, GO:0044763, GO:0022610, GO:0044699
GO:0016043 [BP]cellular component organizationprobableGO:0008150, GO:0071840
GO:0005605 [CC]basal laminaprobableGO:0005604, GO:0005578, GO:0031012, GO:0005575, GO:0005576, GO:0044420, GO:0044421

Prediction of Enzyme Commission Number ?

No EC number assigned to the protein, probably not an enzyme!


Spatial Structural Prediction

Structural Models Based on Templates

Template: 2GY5, chain A
Confidence level:very confident
Coverage over the Query: 145-163,176-294,308-337,350-373
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Template: 2GY5, chain A
Confidence level:very confident
Coverage over the Query: 554-618,632-677,693-699,710-784
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Template: 3K6S, chain B
Confidence level:very confident
Coverage over the Query: 437-451,469-662
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Template: 3K6S, chain B
Confidence level:very confident
Coverage over the Query: 133-335
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Template: 4AQS, chain A
Confidence level:very confident
Coverage over the Query: 273-423,441-448,466-529
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Template: 4AQS, chain A
Confidence level:very confident
Coverage over the Query: 73-248
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Template: 2YGQ, chain A
Confidence level:very confident
Coverage over the Query: 5-44,74-105,133-159
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Template: 4FBR, chain A
Confidence level:confident
Coverage over the Query: 461-550,563-639,652-669,690-699,710-741,752-783,799-822
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Template: 2HR7, chain A
Confidence level:probable
Coverage over the Query: 212-426
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Template: 2HR7, chain A
Confidence level:probable
Coverage over the Query: 212-426
View the alignment between query and template
View the model in PyMOL