Citrus Sinensis ID: 046072

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-

KFQVLKITGPLILILSATELTLNSVRSLFDSQSFHYTVPLMDASPRLVYCGIEPARFPASSFRKNRVSVRRRTRKVFAVASEPKPKQTGTGPASSSSPSKTVNGSSRSSPPLKPVNGASMRMGEVSQEIKRVRAQMEENEQLSILMKGLRGLNLRDSQFADDSVKLRLVEVDESSEFLPLVYDPASITAYWGKRPRAVATRIVQLLSVAGGFLSRIAWDIVTKKIKENEVARAIELRDIVTSLGPAYIKLGQALSIRPDILSPVAMVELQKLCDKVPSFPDDVAMALIKEELGQPWQEIYSELSSSPIAAASLGQVYKGRLKENGDLVAVKVQRPFVLETVTVDLFIIRNLGLALRKFPQVSIDVVGLVDEWAARFFEELDYVNEGENGTLFAEMMKTDLPQVVIPKTYEKYTSRKVLTTGWIEGEKLSQSTESDVGELVNVGVICYLKQLLDTGFFHADPHPGNLIRTPDGKLAILDFGLVTKLTDDQKYGMIEAIAHLIHRDYEAIVKDFVKLDFIPEGVNLEPILPVLAKVFDQALEGGGAKNFNFQELAADLAQITFDYPFRIPPYFALIIRAVGVLEGIALVGNSDFAIVDEAYPYIAQRLLTDESPRLRNALRYTIYGKSGVFDAERFIDIMQAFENFITAAKSGGGEGLNGHMAELGILQSQTGYIIPVLSSSGSQPTQQIQTRAALAFLLSDKGSLFREFLLDEIVKGIDAVTREQLVQIMAVLGVGNVAPVFSMVPSFGPFKPAALLPTVTEEDKVILNNVQKIVAFLTAGSSVSRTSNQVL

ccEEEEECcccccEEccHHHHHHHHHHHHccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccHHHHHHHHHHHHHHHHHHHHHHcccccccccccccccHHHHHHHccccccccccccccHHHHHHHHcccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHcccHHHHHHHHHHHHHcccHHHHHHHHHccccccccHHHHHHHHHHHcccccccHHHHHHHHHHHHcccHHHHcccccccccccccccccEEEEEcccccEEEEEEcccccHHHHHHHHHHHHHHHHHHHccccccccHHHHHHHHHHHHHHHHcHHHHHHHHHHHHHHHccccccEEEcccccccccccEEEEcccccCEccccccccHHHHHHHHHHHHHHHHHHccccccccccccEEEcccccEEEEEccccccccHHHHHHHHHHHHHHHHHcHHHHHHHHHHccccccccccHHHHHHHHHHHHHHHcccccccccHHHHHHHHHHHHHHcccccccHHHHHHHHHHHHHHHHHcccccccHHHHHHHHHHHHHHccccHHHHHHHHHHHHcccccccHHHHHHHHHHHHHHHHHHHccccccccccHHHHHHHccccccccHccccccccccHHHHHHHHHHHHHccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHccccccccccccccccccccccccccccHHHHHHHHHHHHHHHHHHccccccccccccc

*FQVLKITGPLILILSATELTLNSVRSLFDSQSFHYTVPLMDASPRLVYCGIEPARFPA************************************************************************************ILMKG**********FADDSVKLRLVEVDESSEFLPLVYDPASITAYWGKRPRAVATRIVQLLSVAGGFLSRIAWDIVTKKIKENEVARAIELRDIVTSLGPAYIKLGQALSIRPDILSPVAMVELQKLCDKVPSFPDDVAMALIKEELGQPWQEIYSELSSSPIAAASLGQVYKGRLKENGDLVAVKVQRPFVLETVTVDLFIIRNLGLALRKFPQVSIDVVGLVDEWAARFFEELDYVNEGENGTLFAEMMKTDLPQVVIPKTYEKYTSRKVLTTGWIEGEKLSQSTESDVGELVNVGVICYLKQLLDTGFFHADPHPGNLIRTPDGKLAILDFGLVTKLTDDQKYGMIEAIAHLIHRDYEAIVKDFVKLDFIPEGVNLEPILPVLAKVFDQALEGGGAKNFNFQELAADLAQITFDYPFRIPPYFALIIRAVGVLEGIALVGNSDFAIVDEAYPYIAQRLLTDESPRLRNALRYTIYGKSGVFDAERFIDIMQAFENFITA**********************TGYIIPVLSSSGSQPTQQIQTRAALAFLLSDKGSLFREFLLDEIVKGIDAVTREQLVQIMAVLGVGNVAPVFSMVPSFGPFKPAALLPTVTEEDKVILNNVQKIVAFLTAG***********

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KFQVLKITGPLILILSATELTLNSVRSLFDSQSFHYTVPLMDASPRLVYCGIEPARFPASSFRKNRVSVRRRTRKVFAVASEPKPKQTGTGPASSSSPSKTVNGSSRSSPPLKPVNGASMRxxxxxxxxxxxxxxxxxxxxxSILMKGLRGLNLRDSQFADDSVKLRLVEVDESSEFLPLVYDPASITAYWGKRPRAVATRIVQLLSVAGGFLSRIAWDIVTKKIKENEVARAIELRDIVTSLGPAYIKLGQALSIRPDILSPVAMVELQKLCDKVPSFPDDVAMALIKEELGQPWQEIYSELSSSPIAAASLGQVYKGRLKENGDLVAVKVQRPFVLETVTVDLFIIRNLGLALRKFPQVSIDVVGLVDEWAARFFEELDYVNEGENGTLFAEMMKTDLPQVVIPKTYEKYTSRKVLTTGWIEGEKLSQSTESDVGELVNVGVICYLKQLLDTGFFHADPHPGNLIRTPDGKLAILDFGLVTKLTDDQKYGMIEAIAHLIHRDYEAIVKDFVKLDFIPEGVNLEPILPVLAKVFDQALEGGGAKNFNFQELAADLAQITFDYPFRIPPYFALIIRAVGVLEGIALVGNSDFAIVDEAYPYIAQRLLTDESPRLRNALRYTIYGKSGVFDAERFIDIMQAFENFITAAKSGGGEGLNGHMAELGILQSQTGYIIPVLSSSGSQPTQQIQTRAALAFLLSDKGSLFREFLLDEIVKGIDAVTREQLVQIMAVLGVGNVAPVFSMVPSFGPFKPAALLPTVTEEDKVILNNVQKIVAFLTAGSSVSRTSNQVL

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: 3TTJ, chain A
Confidence level:confident
Coverage over the Query: 306-373,406-518,534-558
View the alignment between query and template
View the model in PyMOL

Template: 1ZTH, chain A
Confidence level:confident
Coverage over the Query: 306-335,352-518
View the alignment between query and template
View the model in PyMOL

Template: 2Y7J, chain A
Confidence level:confident
Coverage over the Query: 293-345,370-384,395-518,534-579
View the alignment between query and template
View the model in PyMOL

Template: 3NYV, chain A
Confidence level:confident
Coverage over the Query: 294-370,409-518,534-606
View the alignment between query and template
View the model in PyMOL