Citrus Sinensis ID: 042307

Local Sequence Feature Prediction

Prediction and Method	Result

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----

MIGVYGIGGVGKTMLVKEVARQARNDKLFDEVVYADVSQTPDIKKIQGQIADKLGLKFYEESESGRARKLCERLRKEKKILVILDNIWANLDLENVGIPFGDRGCGVLMTARSQDVLSSKMDCQNNFLVGALNESEAWDLFKKLVGDKIENNDLKAVAVDIAKACGGLPIAIVTIARALRNKNTFEWKNALRELTRPSSSSFSGVPAEAYKSIELSYNHLEGEELKSTFLLCCLMDFIENPSVLYLLSYGMGLGLFKGTHTMEEARDRALTLVDKLKNSCLLLDGPESEYFSVHDVVRDVAISIASRDQHSIAVNNIEAPPRELLDRDTLKNCTAISLHNCKIGELVDGLECPRLKFFHISPREGFIKIPDNFFTRLTELRVLDFTDMHLLSLPSSLHLLVNLRTLCLDNGVLGDVAVIGELKQLEILSFQGSNIEQLPREIGQLTRLRSLNLSSCYQLKAISSNVISNLSQLEELYLGDTFIQWETEGQSSSERSRASLHELKHLSSLNTLEIQVRDPKVLPKGFLSQKLKRYKVFIGDEWNWPDSYENQRILKLKLNASICLKDEFFMQLKGLEELWLDEVQGVENVVYELDREGFPSLKHLHIQNNPYLLCINDSTELVPLDAFPLLESLSLSNLMNLEKISCSQLRAESFIRLRNLKVESCEKLTHIFSFSISRGLPQLQTIEVIACKSMKHIFVVGREDDINNTEVVDKIEFSQLRKLTLKSLPQLRSFCSVVAFPNLETLKLSAINSETIWHNQLPAMSSCIQNLTRLIVHGCSNLKYLFSTSLVRSLMQLQHLEIRKCMDLEEIVFPEEMIEEERKDIMLPQLNFLKMKDLAKLTRFCSGNCIELPSLKQLQIVKCPELKAFILQNISTDMTAVGIQPFFNKMVALPSLEEMVLSNMGNLKTIWHSQFAGESFCKLKLMEVKFCKSLRTIFPHNMFARFLKLESLIVGACGSLQEIFDLQELNSEETHSGAVSRLGKLHVFRLPKLTKIWNKDPRGNLIFQNLVLVRIFECQRLKSVFPTSVAKSLLQLERLSINNCESVEEIVANEGRADEATTKFIFPSSTFLRLRDLPCLTTFYSGMHTLEWPELKKLEIDNVQVLSNLEELTLSEHNFTIWQQAQFHKLKVLHVIFDGSAFFQVGLLQNIPNLEKLLLSNCPCGKIFSCGEVEEHAERVARIKSLKLNKLWGLEEHLWRPDSNLNSFLQTLEILEVKKCWDSLINLLPSSASFRNLTVLKVCHCWLLISLVTPQTAKTLVQLRELRVSECHRLEEIVANEGVADDEIVFSKLKWLFLERSDSITSFCSGNYAF

cCEEEccccccHHHHHHHHHHcccccccccEEEEEEEcccccHHHHHHHHHHHHccccccccHHHHHHHHHHHHHcccEEEEEEcccccccccccccccccccccEEEEEEccHHHHcccccccccCCcccccHHHHHHHHHHHHccccccccHHHHHHHHHHHccccHHHHHHHHHHHHcccHHHHHHHHHHHcccccccccccccccHHHHHcccccccccHHHHHHHHHHcccccccccHHHHHHHHHHcccccccccHHHHHHHHHHHHHHHHHcccccccccccEEEEccHHHHHHHHHHHcccEEEECcccccccccccccccccCEEEEEECcccccccccccccccCEEEEEcccccccccccHHHcccccccEEEccccccccccccccccccccEEEcccccccccccccccccccEEEEcccccccccccccccccccEEEEccccCEcccccccccccccccccccccccccccccccccHHHHHcccccccccccccEEEEECccccccccccccccccEEEEECcccccccccccccEEEEEEEccccccccccccccccccEEEEEcccccEEccccccccccccccEEEECcccccEECccccccccccccccccEEEECccccccccccccccccccccccEEEECcccccccccccccccccccccEEEEcccccccEEccccccccccccccccccccccccEEEEEccccccccccccccccccEEEcccccccccccccccccccccccccEEEEEcccccccccccccccccccccEEEEEccccccEECccccHHHHcccccccccccEEEEEccccccccccccccccccccEEEEcccccccccccccccccccccccccccccccccccccEEEEEccccccEEcccccccccccccEEEEEEcccccccccccccccccccccEEEEEccccccECccccccccccccccccccccEEEEccccccEECcccccccccccccccEEEEEcccccccccccccccccccccEEEEcccccccEEEcccccccccccccccccccEEEEccccccccccccccccccccccEEEEcccccccccHHHcccccccccccccccccccEEEEEcccccccccccccccccccEEEECccccccECccccHHHHHHHHcccccccccccccccccccccccccccccccccEEEEEccccccccccccccccccccEEEEEcccccccccccccccccccccEEEEEccccccEEcccccccccccccccccEEEEcccccccccccccccc

MIGVYGIGGVGKTMLVKEVARQARNDKLFDEVVYADVSQTPDIKKIQGQIADKLGLKFYEE*****ARKLCERLRKEKKILVILDNIWANLDLENVGIPFGDRGCGVLMTARSQDVLSSKMDCQNNFLVGALNESEAWDLFKKLVGDKIENNDLKAVAVDIAKACGGLPIAIVTIARALRNKNTFEWKNALRELTRP******G**AEAYKSIELSYNHLEGEELKSTFLLCCLMDFIENPSVLYLLSYGMGLGLFKGTHTMEEARDRALTLVDKLKNSCLLLDGPESEYFSVHDVVRDVAISIASRDQHSIAVNNIEAPPRELLDRDTLKNCTAISLHNCKIGELVDGLECPRLKFFHISPREGFIKIPDNFFTRLTELRVLDFTDMHLLSLPSSLHLLVNLRTLCLDNGVLGDVAVIGELKQLEILSFQGSNIEQLPREIGQLTRLRSLNLSSCYQLKAISSNVISNLSQLEELYLGDTFIQWETEGQSSSERS**SLHELKHLSSLNTLEIQVRDPKVLPKGFLSQKLKRYKVFIGDEWNWPDSYENQRILKLKLNASICLKDEFFMQLKGLEELWLDEVQGVENVVYELDREGFPSLKHLHIQNNPYLLCINDSTELVPLDAFPLLESLSLSNLMNLEKISCSQLRAESFIRLRNLKVESCEKLTHIFSFSISRGLPQLQTIEVIACKSMKHIFVVGREDDINNTEVVDKIEFSQLRKLTLKSLPQLRSFCSVVAFPNLETLKLSAINSETIWHNQLPAMSSCIQNLTRLIVHGCSNLKYLFSTSLVRSLMQLQHLEIRKCMDLEEIVFPEEMIEEERKDIMLPQLNFLKMKDLAKLTRFCSGNCIELPSLKQLQIVKCPELKAFILQNISTDMTAVGIQPFFNKMVALPSLEEMVLSNMGNLKTIWHSQFAGESFCKLKLMEVKFCKSLRTIFPHNMFARFLKLESLIVGACGSLQEIFDLQELNSEETHSGAVSRLGKLHVFRLPKLTKIWNKDPRGNLIFQNLVLVRIFECQRLKSVFPTSVAKSLLQLERLSINNCESVEEIVANEGRADEATTKFIFPSSTFLRLRDLPCLTTFYSGMHTLEWPELKKLEIDNVQVLSNLEELTLSEHNFTIWQQAQFHKLKVLHVIFDGSAFFQVGLLQNIPNLEKLLLSNCPCGKIFSCGEVEEHAERVARIKSLKLNKLWGLEEHLWRPDSNLNSFLQTLEILEVKKCWDSLINLLPSSASFRNLTVLKVCHCWLLISLVTPQTAKTLVQLRELRVSECHRLEEIVANEGVADDEIVFSKLKWLFLERSDSITSFCSGNYAF

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MIGVYGIGGVGKTMLVKEVARQARNDKLFDEVVYADVSQTPDIKKIQGQIADKLGLKFYEESESGRARKLCERLRKEKKILVILDNIWANLDLENVGIPFGDRGCGVLMTARSQDVLSSKMDCQNNFLVGALNESEAWDLFKKLVGDKIENNDLKAVAVDIAKACGGLPIAIVTIARALRNKNTFEWKNALRELTRPSSSSFSGVPAEAYKSIELSYNHLEGEELKSTFLLCCLMDFIENPSVLYLLSYGMGLGLFKGTHTMEEARDRALTLVDKLKNSCLLLDGPESEYFSVHDVVRDVAISIASRDQHSIAVNNIEAPPRELLDRDTLKNCTAISLHNCKIGELVDGLECPRLKFFHISPREGFIKIPDNFFTRLTELRVLDFTDMHLLSLPSSLHLLVNLRTLCLDNGVLGDVAVIGELKQLEILSFQGSNIEQLPREIGQLTRLRSLNLSSCYQLKAISSNVISNLSQLEELYLGDTFIQWETEGQSSSERSRASLHELKHLSSLNTLEIQVRDPKVLPKGFLSQKLKRYKVFIGDEWNWPDSYENQRILKLKLNASICLKDEFFMQLKGLEELWLDEVQGVENVVYELDREGFPSLKHLHIQNNPYLLCINDSTELVPLDAFPLLESLSLSNLMNLEKISCSQLRAESFIRLRNLKVESCEKLTHIFSFSISRGLPQLQTIEVIACKSMKHIFVVGREDDINNTEVVDKIEFSQLRKLTLKSLPQLRSFCSVVAFPNLETLKLSAINSETIWHNQLPAMSSCIQNLTRLIVHGCSNLKYLFSTSLVRSLMQLQHLEIRKCMDLEEIVFPEEMIEEERKDIMLPQLNFLKMKDLAKLTRFCSGNCIELPSLKQLQIVKCPELKAFILQNISTDMTAVGIQPFFNKMVALPSLEEMVLSNMGNLKTIWHSQFAGESFCKLKLMEVKFCKSLRTIFPHNMFARFLKLESLIVGACGSLQEIFDLQELNSEETHSGAVSRLGKLHVFRLPKLTKIWNKDPRGNLIFQNLVLVRIFECQRLKSVFPTSVAKSLLQLERLSINNCESVEEIVANEGRADEATTKFIFPSSTFLRLRDLPCLTTFYSGMHTLEWPExxxxxxxxxxxxxxxxxxxxxEHNFTIWQQAQFHKLKVLHVIFDGSAFFQVGLLQNIPNLEKLLLSNCPCGKIFSCGEVEEHAERVARIKSLKLNKLWGLEEHLWRPDSNLNSFLQTLEILEVKKCWDSLINLLPSSASFRNLTVLKVCHCWLLISLVTPQTAKTLVQLRELRVSECHRLEEIVANEGVADDEIVFSKLKWLFLERSDSITSFCSGNYAF

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries

No confident close homologs for annotation transfering were detected in SWISSPROT

Prediction of Enzyme Commission Number

No confident prediction of EC number!

Spatial Structural Prediction

Structural Models Based on Templates

Template: 3VQ2, chain A
Confidence level:very confident
Coverage over the Query: 333-525
View the alignment between query and template
View the model in PyMOL

Template: 3RGZ, chain A
Confidence level:very confident
Coverage over the Query: 331-484,497-698,712-815,848-872,890-1081
View the alignment between query and template
View the model in PyMOL

Template: 3RGZ, chain A
Confidence level:very confident
Coverage over the Query: 892-1072,1102-1248
View the alignment between query and template
View the model in PyMOL

Template: 2Z81, chain A
Confidence level:very confident
Coverage over the Query: 352-485,497-524,567-627,655-698,719-814,846-872,887-964,977-1045
View the alignment between query and template
View the model in PyMOL

Template: 2A5Y, chain B
Confidence level:very confident
Coverage over the Query: 1-309
View the alignment between query and template
View the model in PyMOL

Template: 3FXI, chain A
Confidence level:probable
Coverage over the Query: 365-858
View the alignment between query and template
View the model in PyMOL