Citrus Sinensis ID: 044085

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-

MSIVGEAFLVVTVEMLVEKLASEVIQLFARRGQIEADLKKWEELLLTIKVVLDDAEEKQITKPSVKTWLGKLQNLAFDAEDMLDEFATEAFRRKLLLLEQADRRPTGTTKKDKLDLKEISGGFRYGRVRERPLSTTSLVDEDEVYGREKDKEALVGLLRRDDLNSGRGFSVIPITGMGGLGKTTLAQLVFNDVRVEEHFPDFRAWAYVSEDFDAVGITKVILQAAVGSVDVNDLNLLQLQLENQLKNKKFLLVLDDMWTENYDDWTNLCKPFKAGLPGSKIIVTTRNEDVSSMVTTPSAAYSLENLLRDDCLSIFVRHSLGRTDFSAHQYLSEIGEKIVDKCNGSPLAAKTLGGLLRGKYDPKDWEDVLNSKIWDLDEDKSGIMRALRVSYYYLPSHVKRCFAHCSLLPKGYPFDERQIVLLWMAEGLLQHKTDGIEMEELGRKSFQVLHSRSFFQRSKIDASWFLMHDLIHDLASWSSGEICSSTEITWDRHNQGRFSRNLRHLSYLCSRFDGIKRFEGLHEVEYLRTLLALPVSTRKQSFVTKNLVFHVIPRLRRLRVLSLCGYWILQLPNDIGELKHLRYLEFSRTAIEVLPESVSTLYNLQTLILERCYRLKKLFPDIGNLTNLRHLKNSHSNLFEEMPLRIGKLTSLRTLAKFAVGKSNCSGLRELRSLTLLQDKLTISGLENVNDAEDAKEAQLNGKEKLEALSLKWGDKTTNSDSREVAEIQTRVLEMLKPHYGLKELKVQGYGGAKLPTWLGQSSFKNLVVLRFRNCNQCTSLPSVGHLPSLKNLVIKGMAKVKSVGLEFCGKYCSEPFPSLETLCFEDMQELEEWISHAGTAGGDQEAAKGFHSLRELSIINCSKLKGRLPQRFSSLERVVIRSCEQLLVSYTALPPLCELAIDGFWEVAWIRPEESRAEVLPWEISIPDQESLPDGLHKLSHITTISMYGSRLVSFAEGGLPSNLCSLTLFGCRYLTALPNGIYNLSSLQHLEIRACPRIASIPEEVGFPPNITELHIEGPNICKLFFDLGFHNLTSVRDLFIKDGLEDEVSFQKLPNSLVKLNIREFPGLESLSFVRNLTSLERLTLCECPNLISLPKNGLPPSLVYVDIYSCPYLEERCKVKGVYWHLVADIPYVRLNGGLVLHPRECS

cHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHcccHHHHHHHHHHHHHHHHHHHHHHHHccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHcccccccccccccccHHHHcccccccccccccccccccccccccccccHHHHHHHHHHccccccccccCEEEEEECcccccHHHHHHHHHcHHHHHHHccccEEEEEEcccccHHHHHHHHHHHHccccccccHHHHHHHHHHHHcccEEEEEEcccccccHHHHHHHHHHHcccccccEEEEEcccHHHHHHcccccccEEcccccHHHHHHHHHHHHcccccccccccHHHHHHHHHHHccccHHHHHHHHHHccccccHHHHHHHHHHcccccccccccccHHHHHHccccccccHHHHcccccccccccccHHHHHHHHHHccccccccccccHHHHHHHHHHHHHHcccccEEccccccEEEcHHHHHHHHHHHccccEEEEECccccccccccccEEEEEEEEcccccccccccccccccccEEECccccccccccccHHHHHHHccccccccEEEcccccccccccccccccccccccccccccccccccccccccccEEccccccccccccccccccccccEEEcccccccccccccccccccccccccEEEccccccccHHHccccccccEEEEccccccccccHHHHcccccccccccEEEECcccccccccHHHHHHHHHHHccccccccccEEEEEccccccccccccccccccEEEEEEEccccccccccccccccccEEEEccccccEEEccccccccccccccccccEEcccccHHHHHHHcccccccccccccccccccEEEEccccccccccccccccccEEEEEccccccccccccccccEEEEcccccccccccccccccccccEEcccccccccccccccccccEEEEEcccccccccccccccccEEEECcccccccccccccccccccEEEECcccccccccccccccccccEEEEcccccccccccccccccccccEEEECcccccccccccccccccEEEECccccccccccccccccccEEEECccccccccccccccccccEEEECccHHHHHHcccccccccccccccEEEEccCEEEcccccc

MSIVGEAFLVVTVEMLVEKLASEVIQLFARRGQIEADLKKWEELLLTIKVVLDDAEEKQITKPSVKTWLGKLQNLAFDAEDMLDEFATEAFRRKLLLLE*********************GGFRYG****************EVYGREKDKEALVGLLRRDDLNSGRGFSVIPITGMGGLGKTTLAQLVFNDVRVEEHFPDFRAWAYVSEDFDAVGITKVILQAAVGSVDVNDLNLLQLQLENQLKNKKFLLVLDDMWTENYDDWTNLCKPFKAGLPGSKIIVTTRNEDVSSMVTTPSAAYSLENLLRDDCLSIFVRHSLGRTDFSAHQYLSEIGEKIVDKCNGSPLAAKTLGGLLRGKYDPKDWEDVLNSKIWDLDEDKSGIMRALRVSYYYLPSHVKRCFAHCSLLPKGYPFDERQIVLLWMAEGLLQHKTDGIEMEELGRKSFQVLHSRSFFQRSKIDASWFLMHDLIHDLASWSSGEICSSTEITWDRHNQGRFSRNLRHLSYLCSRFDGIKRFEGLHEVEYLRTLLALPVSTRKQSFVTKNLVFHVIPRLRRLRVLSLCGYWILQLPNDIGELKHLRYLEFSRTAIEVLPESVSTLYNLQTLILERCYRLKKLFPDIGNLTNLRHLKNSHSNLFEEMPLRIGKLTSLRTLAKFAVGKSNCSGLRELRSLTLLQDKLTISGLENVNDAEDAKEAQLNGKEKLEALSLKWGDKTTNSDSREVAEIQTRVLEMLKPHYGLKELKVQGYGGAKLPTWLGQSSFKNLVVLRFRNCNQCTSLPSVGHLPSLKNLVIKGMAKVKSVGLEFCGKYCSEPFPSLETLCFEDMQELEEWISHAGTAGGDQEAAKGFHSLRELSIINCSKLKGRLPQRFSSLERVVIRSCEQLLVSYTALPPLCELAIDGFWEVAWIRPEESRAEVLPWEISIPDQESLPDGLHKLSHITTISMYGSRLVSFAEGGLPSNLCSLTLFGCRYLTALPNGIYNLSSLQHLEIRACPRIASIPEEVGFPPNITELHIEGPNICKLFFDLGFHNLTSVRDLFIKDGLEDEVSFQKLPNSLVKLNIREFPGLESLSFVRNLTSLERLTLCECPNLISLPKNGLPPSLVYVDIYSCPYLEERCKVKGVYWHLVADIPYVRLNGGLVLHPREC*

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MSIVGEAFLVVTVEMLVEKLASEVIQLFARRGQIEADxxxxxxxxxxxxxxxxxxxxxQITKPSVKTWLGKLQNLAFDAEDMLDEFATEAFRRKLLLLEQADRRPTGTTKKDKLDLKEISGGFRYGRVRERPLSTTSLVDEDEVYGREKDKEALVGLLRRDDLNSGRGFSVIPITGMGGLGKTTLAQLVFNDVRVEEHFPDFRAWAYVSEDFDAVGITKVILQAAVGSVDVNDLNLLQLQLENQLKNKKFLLVLDDMWTENYDDWTNLCKPFKAGLPGSKIIVTTRNEDVSSMVTTPSAAYSLENLLRDDCLSIFVRHSLGRTDFSAHQYLSEIGEKIVDKCNGSPLAAKTLGGLLRGKYDPKDWEDVLNSKIWDLDEDKSGIMRALRVSYYYLPSHVKRCFAHCSLLPKGYPFDERQIVLLWMAEGLLQHKTDGIEMEELGRKSFQVLHSRSFFQRSKIDASWFLMHDLIHDLASWSSGEICSSTEITWDRHNQGRFSRNLRHLSYLCSRFDGIKRFEGLHEVEYLRTLLALPVSTRKQSFVTKNLVFHVIPRLRRLRVLSLCGYWILQLPNDIGELKHLRYLEFSRTAIEVLPESVSTLYNLQTLILERCYRLKKLFPDIGNLTNLRHLKNSHSNLFEEMPLRIGKLTSLRTLAKFAVGKSNCSGLRELRSLTLLQDKLTISGLENxxxxxxxxxxxxxxxxxxxxxSLKWGDKTTNSDSREVAEIQTRVLEMLKPHYGLKELKVQGYGGAKLPTWLGQSSFKNLVVLRFRNCNQCTSLPSVGHLPSLKNLVIKGMAKVKSVGLEFCGKYCSEPFPSLETLCFEDMQELEEWISHAGTAGGDQEAAKGFHSLRELSIINCSKLKGRLPQRFSSLERVVIRSCEQLLVSYTALPPLCELAIDGFWEVAWIRPEESRAEVLPWEISIPDQESLPDGLHKLSHITTISMYGSRLVSFAEGGLPSNLCSLTLFGCRYLTALPNGIYNLSSLQHLEIRACPRIASIPEEVGFPPNITELHIEGPNICKLFFDLGFHNLTSVRDLFIKDGLEDEVSFQKLPNSLVKLNIREFPGLESLSFVRNLTSLERLTLCECPNLISLPKNGLPPSLVYVDIYSCPYLEERCKVKGVYWHLVADIPYVRLNGGLVLHPRECS

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: 4ECO, chain A
Confidence level:very confident
Coverage over the Query: 589-664,694-698,729-827,838-876,888-906,930-1045,1069-1117
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View the model in PyMOL

Template: 1JL5, chain A
Confidence level:very confident
Coverage over the Query: 602-650,705-718,733-828,839-887,932-1101
View the alignment between query and template
View the model in PyMOL

Template: 4ECO, chain A
Confidence level:very confident
Coverage over the Query: 566-667,697-718,732-803,844-894,931-1046
View the alignment between query and template
View the model in PyMOL

Template: 1O6V, chain A
Confidence level:very confident
Coverage over the Query: 524-657
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View the model in PyMOL

Template: 3RGZ, chain A
Confidence level:very confident
Coverage over the Query: 534-719,733-829,840-1124
View the alignment between query and template
View the model in PyMOL

Template: 3T6Q, chain A
Confidence level:very confident
Coverage over the Query: 497-675,686-829,840-909,931-1045,1069-1093
View the alignment between query and template
View the model in PyMOL

Template: 3SFZ, chain A
Confidence level:very confident
Coverage over the Query: 140-426,439-483
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Template: 2QBY, chain A
Confidence level:confident
Coverage over the Query: 141-372,383-458
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Template: 3QFL, chain A
Confidence level:confident
Coverage over the Query: 12-91
View the alignment between query and template
View the model in PyMOL