Citrus Sinensis ID: 002103

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------
MASTTVTWSPTSLQLRLALNCWSSSCNSPSVLVRSRFKKLNRPVHLRCFGPSAGRRRGCSLSIRSESNAESFSGWSESGNDGEQSIESQKKGGLGGIVQAGVAGVVLFAGLTFAALSLSKRSTSRPREQMEPLTAAQDVSIVPDHKIDKFEEYGYAGNNVKQDDRSLESKTGTDNALSSSSEAIEVASDNKIDSENETPSTGDVSHSSSGINSINDVAKQDDLQRESASDDMSVAPDTALTSPKLPEPEVVSGTENASPLEGSDSILDANLPESASEITGENPIDVEPSSFSNPTDLGNDGSKFSRIFSDSSSISSSHAPIEPLAAVISVSSDTTVEPQILPKGDTETVASPSTIKNVEQSEKPLLSGEDSSSSMEVHDLNKNGSSGTSVSPSIFPFSNEKETCDLNESNSSSFTESPPTGSSSSPAGIPAPSVVSAALQVLPGKVLVPAVVDQVQGQALSALQVLKVIEADVKPGDLCIRREYARWLVSASSTLTRSTMSKVYPAMYIENVTDLAFDDITPEDPDFSSIQGLAEAGLISSKLSHRDLLNEEPGPIFFLPESPLSRQDLVSWKMALEKRQLPEANKKILYQLSGFIDIDKINPDAWPALLADLTAGEQGIIALAFGCTRLFQPDKPVTNAQAAVALAIGEASDAVNEELQRIEAESAAENAVSEHSALVAEVEKEINESFEKELSMEREKIDVVEKMAEEARQELERLRAEREVDKIALMKERAAIESEMEILSKLRREVEEQLESLMSNKVEISYEKERINMLRKEAENENQEIARLQYELEVERKALSMARAWAEDEAKRAREQAKALEGARDRWERQGIKVVVDKDLREESDAAVMWVNAGKQFSVDQTVSRAQSLVDKLKAMANDVSGKSKEIINTIIHKILLFISNLKKWASKASMRAAELKDATILKAKGSVQELQQSTAEFRSNLTEGAKRVAGDCREGVEKLTQRFKT
cccccccccccccEEEEccccccccccccHHHHHHcccccccccEEEEccccccccccccccccccccccccccccccccccccccccccccccccccccHHHHHHHHHHHHHHHHccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccHHHHHHHHHHHHHcccccccccccccccHHHHHHHHHHHHccccccccccccccccccccccccccccccccccHHHHHHHHHccccccccccccccccccccccccccccccHHHHHHHHHHHHcccccHHHHHHHHHHcccccccccccccHHHHHHHHHccccccEEccccccccccccccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHcc
*******WSPTSLQLRLALNCWSSSCNSPSVLVRSRFKKLNRPVHLRCFG*******************************************LGGIVQAGVAGVVLFAGLTFAALS*************************************************************************************************************************************************************************************************************************************************************************************************************************************PGKVLVPAVVDQVQGQALSALQVLKVIEADVKPGDLCIRREYARWLVSASSTLTRSTMSKVYPAMYIENVTDLAFDDITPEDPDFSSIQGLAEAGLISSKLSHR***NEEPGPIFFLPESPLSRQDLVSWKMALEKRQLPEANKKILYQLSGFIDIDKINPDAWPALLADLTAGEQGIIALAFGCTRLFQPDKPVTNAQAAVALAIG*********************************************************************************************************************************************************************************WERQGIKVVVDKDLREESDAAVMWVNAGKQFSVDQTVSRAQSLVDKLKAMANDVSGKSKEIINTIIHKILLFISNLKKWASKA**************************************************L*Q****
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxHHHHHHHHHHHHHHHHHHHHHHxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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MASTTVTWSPTSLQLRLALNCWSSSCNSPSVLVRSRFKKLNRPVHLRCFGPSAGRRRGCSLSIRSESNAESFSGWSESGNDGEQSIESQKKGGLGGIVQAGVAGVVLFAGLTFAALSLSKRSTSRPREQMEPLTAAQDVSIVPDHKIDKFEEYGYAGNNVKQDDRSLESKTGTDNALSSSSEAIEVASDNKIDSENETPSTGDVSHSSSGINSINDVAKQDDLQRESASDDMSVAPDTALTSPKLPEPEVVSGTENASPLEGSDSILDANLPESASEITGENPIDVEPSSFSNPTDLGNDGSKFSRIFSDSSSISSSHAPIEPLAAVISVSSDTTVEPQILPKGDTETVASPSTIKNVEQSEKPLLSGEDSSSSMEVHDLNKNGSSGTSVSPSIFPFSNEKETCDLNESNSSSFTESPPTGSSSSPAGIPAPSVVSAALQVLPGKVLVPAVVDQVQGQALSALQVLKVIEADVKPGDLCIRREYARWLVSASSTLTRSTMSKVYPAMYIENVTDLAFDDITPEDPDFSSIQGLAEAGLISSKLSHRDLLNEEPGPIFFLPESPLSRQDLVSWKMALEKRQLPEANKKILYQLSGFIDIDKINPDAWPALLADLTAGEQGIIALAFGCTRLFQPDKPVTNAQAAVALAIGEASDAVNEELQRIEAESAAENAVSEHSALVAEVEKEIxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxKVExxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxLSMAxxxxxxxxxxxxxxxxxxxxxxxxxxxxGIKVVVDKDLREESDAAVMWVNAGKQFSVDQTVSRAQSLVDKLKAMANDVSGKSKEIINTIIHKILLFISNLKKWASKASMRAAELKDATILKAKGSVQELQQSTAEFRSNLTEGAKRVAGDCREGVEKLTQRFKT

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: 3PYW, chain A
Confidence level:very confident
Coverage over the Query: 515-544,556-649
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Template: 3NA7, chain A
Confidence level:very confident
Coverage over the Query: 707-747
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Template: 2DFS, chain A
Confidence level:very confident
Coverage over the Query: 441-468
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Template: 2DFS, chain A
Confidence level:very confident
Coverage over the Query: 770-796
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Template: 3PYW, chain A
Confidence level:confident
Coverage over the Query: 455-494,505-543,555-649
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Template: 2NO2, chain A
Confidence level:confident
Coverage over the Query: 675-719,730-759,771-800
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Template: 2ZUO, chain A
Confidence level:probable
Coverage over the Query: 640-765,776-822
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Template: 1CII, chain A
Confidence level:probable
Coverage over the Query: 650-919
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Template: 1C1G, chain A
Confidence level:probable
Coverage over the Query: 653-830
View the alignment between query and template
View the model in PyMOL