Citrus Sinensis ID: 009288

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-------54
MQETVQLIVPPPTQAQQHQHQHQHQHQHQHPKPNSRRVTPTRDTGGGVVVEKILPNGDLYTGAVSGNAPHGVGKYVWSDRCMYEGEWRKGRASGKGKFSWPSGATYEGGFKSGRMDGEGTFVGVEGDTYRGSWSNDRKHGYGEKRYANGDVYRGSWRFNLMDGYGKYAWSDGNVYEGEWKNGVIFGKGTLSWNNGNRYEGCWDNGLPKGKGVFTWSNHENMKNDERDNFEVMGARKRSSSADPARPRIYIWELDGEAGDITCDIVDKAEAASMLYKNQFGGPPNGIGQFQKSPCSSADGEVKKPGHTISKGHKNYDLMLNLQLGIRHSVGKHASVMRELRQSDFEPKEKFWTRFPPEGSKFTPPHQSMDFRWKDYCPMVFRHLRELFAIDPADYMLAICGDDALRELSSPGKSGSFFYLTQDDRFMIKTVKKSEVKVLIRMLPSYYQHVCQYKNTLVTKFFGVHCVKPVGGQKTRFIVMGNLFCSEYRIHRRFDLKGSSYGRITDKPEEEIDETTTLKDLDLDFVFRLDRSWFQELIR
cccCEEEEccccccccHHccccccccCCcccccccccccccccccccCEEEEEcccccEEEEEECcccccCEEEEEEccccEEEEEEcccccccCEEEEcccccEEEEECcccccccCEEEEECcccEEEEEEcccccccccEEEEccccCEEEECccccccccEEEEEccccEEEEEECcccECcCEEEEEccccEEEEEECccccccCEEEECcccccccccccccCCcccCEECccccccccccCEEccccccccccCEEccHHHHHHHHHHcccccccccccccccccccccccccccccccEEECcccccccHHHHHccEEEEEcccccccccccccccccccEEEECccccccccccccccccCEEECcccHHHHHHHHHHcccccHHHHHHcccccccccccccccCEEEEEEcccEEEEEEcccHHHHHHHHHcHHHHHHHHHcccccccccEEEEEEECcccCEEEEEEEccccccccccEEccccccccccccccccccccccccccccccccccccccHHHHHHHHc
****VQ**********************QHPKPNSRRVTPTRDTGGGVVVEKILPNGDLYTGAVSGNAPHGVGKYVWSDRCMYEGEWRKGRASGKGKFSWPSGATYEGGFKSGRMDGEGTFVGVEGDTYRGSWSNDRKHGYGEKRYANGDVYRGSWRFNLMDGYGKYAWSDGNVYEGEWKNGVIFGKGTLSWNNGNRYEGCWDNGLPKGKGVFTWSNHENMKNDERDNFEVMG**K*****DPARPRIYIWELDGEAGDITCDIVDKAEAASMLYKNQFGGPPNGIGQFQKSPCSSADGEVKKPGHTISKGHKNYDLMLNLQLGIRHSVGKHA******RQSDFEPKEKFWTRFPPEGSKFTPPHQSMDFRWKDYCPMVFRHLRELFAIDPADYMLAICGDDALRELSSPGKSGSFFYLTQDDRFMIKTVKKSEVKVLIRMLPSYYQHVCQYKNTLVTKFFGVHCVKPVGGQKTRFIVMGNLFCSEYRIHRRFDLKGSSYGRI*********ETTTLKDLDLDFVFRLDRSWFQELIR
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MQETVQLIVPPPTQAQQHQHQHQHQHQHQHPKPNSRRVTPTRDTGGGVVVEKILPNGDLYTGAVSGNAPHGVGKYVWSDRCMYEGEWRKGRASGKGKFSWPSGATYEGGFKSGRMDGEGTFVGVEGDTYRGSWSNDRKHGYGEKRYANGDVYRGSWRFNLMDGYGKYAWSDGNVYEGEWKNGVIFGKGTLSWNNGNRYEGCWDNGLPKGKGVFTWSNHENMKNDERDNFEVMGARKRSSSADPARPRIYIWELDGEAGDITCDIVDKAEAASMLYKNQFGGPPNGIGQFQKSPCSSADGEVKKPGHTISKGHKNYDLMLNLQLGIRHSVGKHASVMRELRQSDFEPKEKFWTRFPPEGSKFTPPHQSMDFRWKDYCPMVFRHLRELFAIDPADYMLAICGDDALRELSSPGKSGSFFYLTQDDRFMIKTVKKSEVKVLIRMLPSYYQHVCQYKNTLVTKFFGVHCVKPVGGQKTRFIVMGNLFCSEYRIHRRFDLKGSSYGRITDKPEEEIDETTTLKDLDLDFVFRLDRSWFQELIR

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
Phosphatidylinositol 4-phosphate 5-kinase 2 Possesses phosphatidylinositol kinase activity in vitro.probableQ8L796

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
2.7.1.681-phosphatidylinositol-4-phosphate 5-kinase.probable

Spatial Structural Prediction

Structural Models Based on Templates

Template: 2YBX, chain A
Confidence level:very confident
Coverage over the Query: 308-537
View the alignment between query and template
View the model in PyMOL
Template: 1H3I, chain A
Confidence level:very confident
Coverage over the Query: 53-185
View the alignment between query and template
View the model in PyMOL
Template: 1H3I, chain A
Confidence level:very confident
Coverage over the Query: 77-207
View the alignment between query and template
View the model in PyMOL