Citrus Sinensis ID: 001229

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------112
MKASAAATSSIRNLLSKSLSSKQKSNSKISKSNSENTPPLHPNIVQPQLSPTPPPAKSLTFHSQSQIPRSDTPPENRKKTTRSDTQGEVPEVSDPSVKVVVRIRPANDLERDSNQTVKKVSSDSLAVGERKFAFDSVLDSNSNQEDIFQVVGLPLVKNALAGYNVSLLSYGQTGSGKTYTMWGPPSAMVEDPSPRSKEGIVPRIFQKLFSEIQREQENSDGKQINYQCRCSFLEIYNEQIGDLLDQTQRNLEIKDDPKHGFYVENLTEEYVTSYEDITQILIKGLSSRKVGATSVNSKSSRSHIVFTFIVESWCKEASSKCFSSSKTSRICLVDIAGADRNKLDDVGRKSVKEGKYVKKSLAQLGYLVKALTQETLGKSEDVIYRCSCLTHLLRESLGGNAKLTVVCNISPDNKDVGEILSTIRFGQRVKSIRNDPVINEISEDDVNDLSDQIRQLKEELIRAKSDVHSGYFKGRNVRESLNQLRVSLNRSLMLPRIDNELEEEVKVDEHDVSELRQQLAKLQSSYDKSSKDPSENKDSVLCSSVEEFHDADLISEDDIECPEENDLEEIDLPPKENSTPSSDDLSSTLNTSRPINHAFRDSISISSCRQSPVLQDPTFSESPKIGNILRKSLAISSPLASQTDMSQSSKSDVLRQSLKQSEHIRSSLRSSKIFPGAAESLAASLQRGLQIIDSHQRSSASNRSSVAFSFEHLTLKPCSEVDKTNASVQTNIEERDLPLCASCRQKMENNTNEVQDSLKTWIVARDAENDSAEPIKKENELENICTEQAAKIEQLNRLEVQEVPSHQNGNISFEMNEKEVLLKEIESLRTKLQYTDASPFKSTENLRSSLLSRSIQLRKSIEARPNTAEELEKERERWTEMESEWICLTDELRVDIESSRRHAERVESELRLEKKVTEELDDALSRAVLGHARMVEHYADLQEKYNDLVSRHRAIMEGVAEVKRAAAKAGAKGHGSRFAKSVAAELSALRVERDREREFLKKENKSLKIQLRDTAEAVHAAGELLVRLKEAEQAASVAEANFSGVQQENEKLKKQIDKLKRKHKMEMITMKQYLAESKLPESALQPLYREDSDVAHSSAILDDDQAWRAEFGAIYQDPI
ccccccccccHHcccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccEEEEEEcccccccccccccEEEEcccccEEccccccccccccccccHHHHHHHHcHHHHHHHHcccccEEEEcccccccccccccccccccccccccccccccccHHHHHHHHHHHHHHHcccccccEEEEEEEEEEEEcccccccccccccccccccccccccccccccccccccHHHHHHHHHHHHccccccccccccccccccEEEEEEEEEEEcccccccccccEEEcccEEEccccccccccccccccccccHHHHHHHHHHHHHHHHHHcccccccccccccccHHHHHHHcccccccHHHHEEEEcccccccHHHHHHHHHHHHHccccccccccccccHHHHHHHHHHHHHHHHHHHHHccccccccccccHHHHHHHHHHHHccccccccccccHHHHHHccHHHHHHHHHHHHHHHHHHHccccccccccHHHHHHHHHHHHHHHHccccccccccccccccccccccccccccccHHHHHccccccccHHHccccccccccccccccccccccccHHHHHHHHHHHHcccccccccccccccHHHHHHHHHHHHHHHHHHHccccccccHHHHHHHHHHHHHHHHHHHHHHHccccccccccccccccccccHHHHHHHHHHHHccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHcccHHHHHHHHHHHHHHHHHHHHHHHHHHHHccccccccccccccHHHHHHHHHHHHHHHHHHHHHccccccHHHHHHHHHHHHHHHHHHHHcccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHcccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHccccccccccccccccHHHHHccccccHHHHHHHHHHHHcccc
**************************************************************************************************VVVRIRPANDL****************AVGERKFAFDSVLDSNSNQEDIFQVVGLPLVKNALAGYNVSLLSYGQTGSGKTYTMWGPPSA**********EGIVPRIFQKLFSEIQR******G*QINYQCRCSFLEIYNEQIGDLLDQTQRNLEIKDDPKHGFYVENLTEEYVTSYEDITQILIKGLSSRKVGATS*NSKSSRSHIVFTFIVESWCK**********KTSRICLVDIAGADRNKL***GRKSVKEGKYVKKSLAQLGYLVKALTQETLGKSEDVIYRCSCLTHLLRESLGGNAKLTVVCNISPDNKDVGEILSTIRFGQRVKSIRNDPVINEISE***NDLSDQIRQLKEE*I*****VHSGYFKGRNV******LRV*******************************************************************************************************************************************************************************************************************************FEHLTL***********************LC*******************TWIVA*********************************************************************************************************************ESEWICLTDELRVDIESS***********************ALSRAVLGHARMVEHYADLQEKYNDLVSRHRAIMEGVAEV******************************************************AVHAAGELLVRL************************************************************************LDDDQAWRAEFGAIYQ***
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MKASAAATSSIRNLLSKSLSSKQKSNSKISKSNSENTPPLHPNIVQPQLSPTPPPAKSLTFHSQSQIPRSDTPPENRKKTTRSDTQGEVPEVSDPSVKVVVRIRPANDLERDSNQTVKKVSSDSLAVGERKFAFDSVLDSNSNQEDIFQVVGLPLVKNALAGYNVSLLSYGQTGSGKTYTMWGPPSAMVEDPSPRSKEGIVPRIFQKLFSEIQREQENSDGKQINYQCRCSFLEIYNEQIGDLLDQTQRNLEIKDDPKHGFYVENLTEEYVTSYEDITQILIKGLSSRKVGATSVNSKSSRSHIVFTFIVESWCKEASSKCFSSSKTSRICLVDIAGADRNKLDDVGRKSVKEGKYVKKSLAQLGYLVKALTQETLGKSEDVIYRCSCLTHLLRESLGGNAKLTVVCNISPDNKDVGEILSTIRFGQRVKSIRNDPVIxxxxxxxxxxxxxxxxxxxxxxxxxxxxVHSGYFKGRNVRESLNQLRVSLNRSLMLPRIxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxPSENKDSVLCSSVEEFHDADLISEDDIECPEENDLEEIDLPPKENSTPSSDDLSSTLNTSRPINHAFRDSISISSCRQSPVLQDPTFSESPKIGNILRKSLAISSPLASQTDMSQSSKSDVLRQSLKQSEHIRSSLRSSKIFPGAAESLAASLQRGLQIIDSHQRSSASNRSSVAFSFEHLTLKPCSEVDKTNASVQTNIEERDLPLCASCRQKMENNTNEVQDSLKTWIVARDAENDSAEPIKKxxxxxxxxxxxxxxxxxxxxxEVQEVPSHQNGNxxxxxxxxxxxxxxxxxxxxxLQYTDASPFKSTENLRSSLLSRSIQLRKSIEARPNTAEELEKERERWTEMESEWICLTDELRVDIESSRRHAERVESELRLEKKVTEELDDALSRAVLGHARMVEHYADLQEKYNDLVSRHRAIMEGVAEVKRAAAKAGAKGHGSRFAKSVAAELSALRVERDRExxxxxxxxxxxxxxxxxxxxxVHAxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxMKQYLAESKLPESALQPLYREDSDVAHSSAILDDDQAWRAEFGAIYQDPI

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: 3BFN, chain A
Confidence level:very confident
Coverage over the Query: 128-185,196-286,298-340,355-433
View the alignment between query and template
View the model in PyMOL
Template: 2DFS, chain A
Confidence level:probable
Coverage over the Query: 1039-1074
View the alignment between query and template
View the model in PyMOL
Template: 3NA7, chain A
Confidence level:probable
Coverage over the Query: 951-1090
View the alignment between query and template
View the model in PyMOL
Template: 3G67, chain A
Confidence level:probable
Coverage over the Query: 915-1028
View the alignment between query and template
View the model in PyMOL
Template: 2ZUO, chain A
Confidence level:probable
Coverage over the Query: 860-1040
View the alignment between query and template
View the model in PyMOL
Template: 1QZV, chain F
Confidence level:probable
Coverage over the Query: 674-686
View the alignment between query and template
View the model in PyMOL