Citrus Sinensis ID: 010360

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--
MLTAAICGDVFASPPVDSILAGIHAVTGPMGCLLIVTNYTGDRLNFGLAAEQAKSEGYKVEIVIVGDDCALPPPRGIAGRRGLAGTILVNKIAGAAAAAGLSLADVAAEAKRASEMVGTMGVALSVCTLPGQVTSDRLGPGKMELGLGIHGEPGAAVADLQPVDVVVSHVLKQILSTETNYVPITRGNRVVLMINGLGATPVMELMIAAGKAVPNLQLEHGLAVERVYTGSFMTSLDMAGFSISIMKADEVILKHLDATTKAPHWPVGVDGNRPPAKIPVPMPPSHSMKSDESLGRPLQLSQQGHVLEVTIEAAAEAVVNLRDRLNEWDSKVGDGDCGSTMYRGATAILEDKKKYYPLNDAAETVNEIGASIRRVMGGTSGILYHIFCKAAYAKLKASSKSGITSKQSSIAAVSKYGGATAGYRTMLDALIPAAAVLQERLSAGIDPSTAFILSSEAAIAGAESTKHMQAQAGRSTYISPEILASVPDPGAMAAAAWYRAAALAVKDMYQAS
cccccccccccccccHHHHHHHHHHccccccEEEEEccccccHccHHHHHHHHHHccccEEEEEEccccccccccccccccccHHHHHHHHHHHHHHHccccHHHHHHHHHHHHHccccEEEEcccccccccccccccccccEEEcccccccccccccccccHHHHHHHHHHHHHcccccccccccccEEEEEEEcccccHHHHHHHHHHHHHHHHHHHcccEEEEEEccccHHcccccccEEEEEcccHHHHHHHcccccccccccccccccccccccccccccccccccccccccccccccHHHHHHHHHHHHHHHHHcHHHccHHHHccccccHHHHHHHHHHHHHHHHHHccccccHHHHHHHHHHHHHHHccccHHHHHHHHHHHHHHHHHcccHHHHHHHHHHHHHHHHcccccccccHHHHcHHHHHHHHHHHHcccccHHHHHHHHHHHHHHHHHHcccccccccccccccccccccccccHHHHHHHHHHHHHHHHHHHHHcc
MLTAAICGDVFASPPVDSILAGIHAVTGPMGCLLIVTNYTGDRLNFGLAAEQAKSEGYKVEIVIVGDDCALPPPRGIAGRRGLAGTILVNKIAGAAAAAGLSLADVAAEAKRASEMVGTMGVALSVCTLPGQVTSDRLGPGKMELGLGIHGEPGAAVADLQPVDVVVSHVLKQILSTETNYVPITRGNRVVLMINGLGATPVMELMIAAGKAVPNLQLEHGLAVERVYTGSFMTSLDMAGFSISIMKADEVILKHLDATTKAPHWPVGVDG********************************GHVLEVTIEAAAEAVVNLRDRLNEWDSKVGDGDCGSTMYRGATAILEDKKKYYPLNDAAETVNEIGASIRRVMGGTSGILYHIFCKAAYAKLKASSKSGITSKQSSIAAVSKYGGATAGYRTMLDALIPAAAVLQERLSAGIDPSTAFILSSEAAIAGAESTKHMQAQAGRSTYISPEILASVPDPGAMAAAAWYRAAALAVKDM****
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MLTAAICGDVFASPPVDSILAGIHAVTGPMGCLLIVTNYTGDRLNFGLAAEQAKSEGYKVEIVIVGDDCALPPPRGIAGRRGLAGTILVNKIAGAAAAAGLSLADVAAEAKRASEMVGTMGVALSVCTLPGQVTSDRLGPGKMELGLGIHGEPGAAVADLQPVDVVVSHVLKQILSTETNYVPITRGNRVVLMINGLGATPVMELMIAAGKAVPNLQLEHGLAVERVYTGSFMTSLDMAGFSISIMKADEVILKHLDATTKAPHWPVGVDGNRPPAKIPVPMPPSHSMKSDESLGRPLQLSQQGHVLEVTxxxxxxxxxxxxxxxxxxxxxVGDGDCGSTMYRGATAILEDKKKYYPLNDAAETVNEIGASIRRVMGGTSGILYHIFCKAAYAKLKASSKSGITSKQSSIAAVSKYGGATAGYRTMLDALIPAAAVLQERLSAGIDPSTAFILSSEAAIAGAESTKHMQAQAGRSTYISPEILASVPDPGAMAAAAWYRAAALAVKDMYQAS

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
Putative 3,4-dihydroxy-2-butanone kinase probableO04059
Bifunctional ATP-dependent dihydroxyacetone kinase/FAD-AMP lyase (cyclizing) Catalyzes both the phosphorylation of dihydroxyacetone and the splitting of ribonucleoside diphosphate-X compounds among which FAD is the best substrate.probableQ3LXA3
Bifunctional ATP-dependent dihydroxyacetone kinase/FAD-AMP lyase (cyclizing) Catalyzes both the phosphorylation of dihydroxyacetone and of glyceraldehyde, and the splitting of ribonucleoside diphosphate-X compounds among which FAD is the best substrate.probableF1RKQ4

Prediction of Enzyme Commission Number ?

EC Number ?Description ?Confidence Level ?
2.-.-.-Transferases.probable
2.7.-.-Transferring phosphorous-containing groups.probable
2.7.1.-Phosphotransferases with an alcohol group as acceptor.probable
2.7.1.29Glycerone kinase.probable

Spatial Structural Prediction

Structural Models Based on Templates

Template: 1UN8, chain A
Confidence level:very confident
Coverage over the Query: 1-505
View the alignment between query and template
View the model in PyMOL
Template: 1UN9, chain A
Confidence level:confident
Coverage over the Query: 1-470,484-490
View the alignment between query and template
View the model in PyMOL