Citrus Sinensis ID: 001201

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----
MDLLKYGTGLHIFKGTYTMQETRDRLYALVHKLKDYCLLLDGPTEDWIRMHDLVREVAISIASRDRHVFMLRNDIQIEWPVADMLKNCPTIFLHDCKHWEVPEGLEYPQLEFFCMSPRDHSIKIPNHVFAGMSNLRGLALSNMQFLSLPSLFHLPLNLQTLCLDRCALGDIAIIGNLKKLEILSLVDSNIEQLPEEMAQLTQLRLFDLSGCSKLKVIPPNLLSGLSRLEDLYMGNTSVKWEFEGLNVGRSNASLQELKLLSHLTTLEIQICDAMILPKGLFSKKLERYKIFIGDEWDWSGNYKNKRVLKLKLYTSNVDEVIMQLKGIEELYLDEVPGIKNVLYDLDIEGFLQLKHLHVQNNPFILFIVDSMAWVRYNAFLLLESLVLHNLIHLEKICLGQLRAESFYKLKIIKVRNCDKLKNIFSFSFVRGLPQLQTLNVINCKNMKEIFTVGRENDVDCHEVDKIEFSQLHSLTLKFLPQLTSFYSQVKTSAASQTRLKELSTHTLPREVILEDECDTLMPFFNEKVVFPNLETLELCAISTEKIWCNQLAAVYSQNLTRLIVHGCEKLKYLFPSSMIRNFVQLEHLEICYCSSLESIVGKESGEEATTTFVFPKVTFLKLWNLSELKTFYPGTHTSKWPMLKKLEVYGCDKVKIFTSRFLRFQEINEGQFDIPTQQALFLVEKVTSKLEELKLSGKDIAMICQSQFPKHIFRNLKNLEVVNDESENFRIGFLERFHNLEKLELRWSSYKEIFSNEEIVEHAEMLTQVKSLKLWELSDLMYIWKQDSKLDSITENLESLEVWWCENLINLVPSSASFKNLTTLELWYCQRLMNLVTSSTAKSLVCLTKLRIDGCRMLTEIISKEEDVAEDEIVFSKLKWVSLERLENLTSFCSGNYTLKFPSLEDLFVIECPKMKIFSHRVLSTPRLREVRQNWGLYKGCWEGDLNTTIQQLQKNELPLLLPIASSSSSLAAPTTGNQVPLNLSGNRKTQSFSLQPPLRTTSPTFSSGKPAADNNPSLSLSSCSTRTKKAVLKLEIHGEKARQKAFSIVSKFTGVLSILFDPKDKKMIVIGDIDAVPVVRKLRKQLCATELVSIGPANEHDNEEGERNIEESKNNADETQKQV
ccHHHHHHHcccccccccHHHHHHHHHHHHHHHHHcccccccccccEEEEcHHHHHHHHHHHcccccEEEEEcccccccccccccccccEEEccccccccccccccccccEEEEccccccccccccHHHccccccEEEEEcccccccccccccccccccEEEcccccccccccccccccccEEEccccccccccHHHcccccccEEECcccccccccccccccccccccEEEcccccccccccccccccccccHHHHcccccccEEEEEEccccccccccccccccccEEECcccccccccccccccEEEEcccccccHHHHccccccEEEcccccccccccccccccccccccEEEEEcccccEEEEcccccccccccccccEEEEEccccccccccccccccccccccEEEEEcccccccccccccccccccccEEEcccccccccccccccccccccccccccccccccEEEcccccccccccccccccccccccccccccccccccEECcccccccccccccccccccccccEEccccccccccccccccccccccEEEEEcccccccccccccccccccccEEEEEccccccEEcccccccccccccccccccEEEECcccccccccccccccccccccEEEEEcccccEEcccccccccccccccccccccccccccccccccccEEEEccccccccccccccccccccccCEEEEccccccccHHHHcccccccEEEEEccccccccccHHHHHHccccccccEEEEcccccccEEcccccccccccccccEEEEEcccccccccccccccccccEEEEEcccccccccccccccccccccEEEEEccccccEEEcccccccccccccccccEEEEccccccccccccccccccccccEEEEEccccccccccccccccccEEEEEEcccccccccccccHHHHHHHHcccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccHHHHHHHHHccccHHHHHHcccHHccccEEEEEECccccccEEEEcccccHHHHHHHHHHHHcccEEEccccccccccHcccccHHcccccHHHHccc
MDLLKYGTGLHIFKGTYTMQETRDRLYALVHKLKDYCLLLDGPTEDWIRMHDLVREVAISIASRDRHVFMLRNDIQIEWPVADMLKNCPTIFLHDCKHWEVPEGLEYPQLEFFCMSPRDHSIKIPNHVFAGMSNLRGLALSNMQFLSLPSLFHLPLNLQTLCLDRCALGDIAIIGNLKKLEILSLVDSNIEQLPEEMAQLTQLRLFDLSGCSKLKVIPPNLLSGLSRLEDLYMGNTSVKWEFEGLNVGRSNASLQELKLLSHLTTLEIQICDAMILPKGLFSKKLERYKIFIGDEWDWSGNYKNKRVLKLKLYTSNVDEVIMQLKGIEELYLDEVPGIKNVLYDLDIEGFLQLKHLHVQNNPFILFIVDSMAWVRYNAFLLLESLVLHNLIHLEKICLGQLRAESFYKLKIIKVRNCDKLKNIFSFSFVRGLPQLQTLNVINCKNMKEIFTVGRENDVDCHEVDKIEFSQLHSLTLKFLPQLTSFYSQVKTSAASQTRLKELSTHTLPREVILEDECDTLMPFFNEKVVFPNLETLELCAISTEKIWCNQLAAVYSQNLTRLIVHGCEKLKYLFPSSMIRNFVQLEHLEICYCSSLESIVGKESGEEATTTFVFPKVTFLKLWNLSELKTFYPGTHTSKWPMLKKLEVYGCDKVKIFTSRFLRFQEINEGQFDIPTQQALFLVEKVTSKLEELKLSGKDIAMICQSQFPKHIFRNLKNLEVVNDESENFRIGFLERFHNLEKLELRWSSYKEIFSNEEIVEHAEMLTQVKSLKLWELSDLMYIWKQDSKLDSITENLESLEVWWCENLINLVPSSASFKNLTTLELWYCQRLMNLVTSSTAKSLVCLTKLRIDGCRMLTEIISKEEDVAEDEIVFSKLKWVSLERLENLTSFCSGNYTLKFPSLEDLFVIECPKMKIFSHRVLSTPRLREVRQNWGLYKGCWEGDLNTTIQQLQKNELPLLLP********************************QPPLRTTSP************************KKAVLKLEIHGEKARQKAFSIVSKFTGVLSILFDPKDKKMIVIGDIDAVPVVRKLRKQLCATELVSI*****************************
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MDLLKYGTGLHIFKGTYTMQETRDRLYALVHKLKDYCLLLDGPTEDWIRMHDLVREVAISIASRDRHVFMLRNDIQIEWPVADMLKNCPTIFLHDCKHWEVPEGLEYPQLEFFCMSPRDHSIKIPNHVFAGMSNLRGLALSNMQFLSLPSLFHLPLNLQTLCLDRCALGDIAIIGNLKKLEILSLVDSNIEQLPEEMAQLTQLRLFDLSGCSKLKVIPPNLLSGLSRLEDLYMGNTSVKWEFEGLNVGRSNASLQELKLLSHLTTLEIQICDAMILPKGLFSKKLERYKIFIGDEWDWSGNYKNKRVLKLKLYTSNVDEVIMQLKGIEELYLDEVPGIKNVLYDLDIEGFLQLKHLHVQNNPFILFIVDSMAWVRYNAFLLLESLVLHNLIHLEKICLGQLRAESFYKLKIIKVRNCDKLKNIFSFSFVRGLPQLQTLNVINCKNMKEIFTVGRENDVDCHEVDKIEFSQLHSLTLKFLPQLTSFYSQVKTSAASQTRLKELSTHTLPREVILEDECDTLMPFFNEKVVFPNLETLELCAISTEKIWCNQLAAVYSQNLTRLIVHGCEKLKYLFPSSMIRNFVQLEHLEICYCSSLESIVGKESGEEATTTFVFPKVTFLKLWNLSELKTFYPGTHTSKWPMLKKLEVYGCDKVKIFTSRFLRFQEINEGQFDIPTQQALFLVEKVTSKLEELKLSGKDIAMICQSQFPKHIFRNLKNLEVVNDESENFRIGFLERFHNLEKLELRWSSYKEIFSNEEIVEHAEMLTQVKSLKLWELSDLMYIWKQDSKLDSITENLESLEVWWCENLINLVPSSASFKNLTTLELWYCQRLMNLVTSSTAKSLVCLTKLRIDGCRMLTEIISKEEDVAEDEIVFSKLKWVSLERLENLTSFCSGNYTLKFPSLEDLFVIECPKMKIFSHRVLSTPRLREVRQNWGLYKGCWEGDLNTTIQQLQKNELPLLLPIASSSSSLAAPTTGNQVPLNLSGNRKTQSFSLQPPLRTTSPTFSSGKPAADNNPSLSLSSCSTRTKKAVLKLEIHGEKARQKAFSIVSKFTGVLSILFDPKDKKMIVIGDIDAVPVVRKLRKQLCATELVSIGPANEHDxxxxxxxxxxxxxxxxxxxxxV

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: 3RGZ, chain A
Confidence level:very confident
Coverage over the Query: 86-239,251-276,317-451,464-512,523-661,685-891
View the alignment between query and template
View the model in PyMOL
Template: 3RGZ, chain A
Confidence level:very confident
Coverage over the Query: 348-452,464-661,685-936
View the alignment between query and template
View the model in PyMOL
Template: 1ZIW, chain A
Confidence level:very confident
Coverage over the Query: 71-239,251-278,315-390,419-662,685-753
View the alignment between query and template
View the model in PyMOL
Template: 3J0A, chain A
Confidence level:very confident
Coverage over the Query: 71-239,251-297,331-451,463-513,528-661,686-726
View the alignment between query and template
View the model in PyMOL
Template: 2Z81, chain A
Confidence level:very confident
Coverage over the Query: 85-240,252-280,296-314,337-513,525-653
View the alignment between query and template
View the model in PyMOL
Template: 3IWL, chain A
Confidence level:confident
Coverage over the Query: 1029-1095
View the alignment between query and template
View the model in PyMOL
Template: 2RA8, chain A
Confidence level:probable
Coverage over the Query: 16-239
View the alignment between query and template
View the model in PyMOL
Template: 3FXI, chain A
Confidence level:probable
Coverage over the Query: 108-261,285-328,345-599,615-651,663-672,685-723
View the alignment between query and template
View the model in PyMOL