Citrus Sinensis ID: 003202

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
MADAKANGKNEAAKLAKIPAAANPLANEPSAIASNISYHVQYSPHFSPTKFEPEQAFFATAESVRDRLIQQWNETYHHFNKVDPKQTYYLSMEFLQGRTLTNAIGSLDIQNAYADALNNLGHVLEEIAEQEKDAALGNGGLGRLASCFLDSMATLNLPAWGYGLRYRYGLFKQKITKQGQEEVAEDWLEKFSPWEVVRHDVVFPVRFFGSVMVNPNGTRKWVGGEVVQAVAYDIPIPGYKTKNTISLRLWDAKASAEDFNLFQFNDGQYESAAQLHSRAQQICAVLYPGDSTEEGKLLRLKQQFFLCSASLQDMILRFKERKSGRQWSEFPSKVAVQLNDTHPTLAIPELMRLLMDEEGLGWDEAWDITTRTVAYTNHTVLPEALEKWSQAVMWKLLPRHMEIIEEIDKRFIAMVRSTRSDLESKIPSMCILDNNPKKPVVRMANLCVVSAHTVNGVAQLHSDILKADLFADYVSLWPNKLQNKTNGITPRRWLRFCNPELSKIITKWLKTDQWVTNLDLLVGLRQFADNTELQAEWESAKMASKKHLADYIWRVTGVTIDPNSLFDIQVKRIHEYKRQLLNILGAIYRYKKLKEMSPQERKKTTPRTIMIGGKAFATYTNAKRIVKLVNDVGEVVNTDPEVNSYLKVVFVPNYNVSVAELLIPGSELSQHISTAGMEASGTSNMKFSLNGCLIIGTLDGANVEIRQEIGEENFFLFGAVAEQVPKLRKEREDGLFKPDPRFEEAKQFIRSGAFGSYDYNPLLDSLEGNTGYGRGDYFLVGYDFPSYLEAQDRVDQAYKDQKKWLKMSILSTAGSGKFSSDRTIAQYAKEIWNITECRTS
ccccccccccccccccccccccccccccHHHHHHHHHHHHHHccccccccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHccccEEEEEHHcccccHHHHHHHHHccHHHHHHHHHHHHcccHHHHHHcccccccccccccccHHHHHHHHHccccccccccccccccccEEEEccccEEcccccccccccccCEEccccCEEEEEcCEEEEcccccEEEEccEEEEEEEcccccccccccccccccccccccccccccccccccccHHHHHHHHHHHHcccccccccccccccHHHHHcHHHHHHHccHHHHHHHHHHccccccccccccccEEEccccccccHHHHHHHHHHHcccccHHHHHHHHccccccccccccccccccccHHHHHHHcHHHHHHHHHHHHHHHHHHHHHcccccccccccCEEEccccccccccccHHHHcccccHHHHHHHHHHHHHcHHccHHHHcccccccccccccHHHHHHcccHHHHHHHHHHHccccccccHHHHHHHHHHcccHHHHHHHHHHHHHHHHHHHHHHHHHccccccccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHcccccccccccccEEEEccccccHHHHHHHHHHHHHHHHHHHcccccccccEEEEEEcccccccccccccccccHHHHcccccccccccHHHHHHHccHHHHccccHHHHHHHHHccccEEEcccccccHHHHHHccccccccccHHHHHHHHHHHccccccccccHHHHHHHHccccccccCEEEccccHHHHHHHHHHHHHHccHHHHHHHHHHHHccccccccHHHHHHHHHHcccccccccc
******************************AIASNISYHVQYSPHFSPTKFEPEQAFFATAESVRDRLIQQWNETYHHFNKVDPKQTYYLSMEFLQGRTLTNAIGSLDIQNAYADALNNLGHVLEEIAEQEKDAALGNGGLGRLASCFLDSMATLNLPAWGYGLRYRYGLFKQKITKQGQEEVAEDWLEKFSPWEVVRHDVVFPVRFFGSVMVNPNGTRKWVGGEVVQAVAYDIPIPGYKTKNTISLRLWDAKASAEDFNLFQFNDGQYESAAQLHSRAQQICAVLYPGDSTEEGKLLRLKQQFFLCSASLQDMILRFKERKSGRQWSEFPSKVAVQLNDTHPTLAIPELMRLLMDEEGLGWDEAWDITTRTVAYTNHTVLPEALEKWSQAVMWKLLPRHMEIIEEIDKRFIAMVRSTRSDLESKIPSMCILDNNPKKPVVRMANLCVVSAHTVNGVAQLHSDILKADLFADYVSLWPNKLQNKTNGITPRRWLRFCNPELSKIITKWLKTDQWVTNLDLLVGLRQFADNTELQAEWESAKMASKKHLADYIWRVTGVTIDPNSLFDIQVKRIHEYKRQLLNILGAIYRYKKLKEMSPQERKKTTPRTIMIGGKAFATYTNAKRIVKLVNDVGEVVNTDPEVNSYLKVVFVPNYNVSVAELLIPGSELSQHISTAGMEASGTSNMKFSLNGCLIIGTLDGANVEIRQEIGEENFFLFGAVAEQVPKLRKEREDGLFKPDPRFEEAKQFIRSGAFGSYDYNPLLDSLEGNTGYGRGDYFLVGYDFPSYLEAQDRVDQAYKDQKKWLKMSILSTAGSGKFSSDRTIAQYAKEIWNITECRT*
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MADAKANGKNEAAKLAKIPAAANPLANEPSAIASNISYHVQYSPHFSPTKFEPEQAFFATAESVRDRLIQQWNETYHHFNKVDPKQTYYLSMEFLQGRTLTNAIGSLDIQNAYADALNNLGHVLEEIAEQEKDAALGNGGLGRLASCFLDSMATLNLPAWGYGLRYRYGLFKQKITKQGQEEVAEDWLEKFSPWEVVRHDVVFPVRFFGSVMVNPNGTRKWVGGEVVQAVAYDIPIPGYKTKNTISLRLWDAKASAEDFNLFQFNDGQYESAAQLHSRAQQICAVLYPGDSTEEGKLLRLKQQFFLCSASLQDMILRFKERKSGRQWSEFPSKVAVQLNDTHPTLAIPELMRLLMDEEGLGWDEAWDITTRTVAYTNHTVLPEALEKWSQAVMWKLLPRHMEIIEEIDKRFIAMVRSTRSDLESKIPSMCILDNNPKKPVVRMANLCVVSAHTVNGVAQLHSDILKADLFADYVSLWPNKLQNKTNGITPRRWLRFCNPELSKIITKWLKTDQWVTNLDLLVGLRQFADNTELQAEWESAKMASKKHLADYIWRVTGVTIDPNSLFDIQVKRIHEYKRQLLNILGAIYRYKKLKEMSPQERKKTTPRTIMIGGKAFATYTNAKRIVKLVNDVGEVVNTDPEVNSYLKVVFVPNYNVSVAELLIPGSELSQHISTAGMEASGTSNMKFSLNGCLIIGTLDGANVEIRQEIGEENFFLFGAVAEQVPKLRKEREDGLFKPDPRFEEAKQFIRSGAFGSYDYNPLLDSLEGNTGYGRGDYFLVGYDFPSYLEAQDRVDQAYKDQKKWLKMSILSTAGSGKFSSDRTIAQYAKEIWNITECRTS

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
Alpha-glucan phosphorylase 2, cytosolic Phosphorylase is an important allosteric enzyme in carbohydrate metabolism. Enzymes from different sources differ in their regulatory mechanisms and in their natural substrates. However, all known phosphorylases share catalytic and structural properties.confidentQ9SD76
Alpha-glucan phosphorylase, H isozyme The H isoform exhibits higher affinity for branched polyglucans such as soluble starch or glycogen.probableP53537
Alpha-glucan phosphorylase, H isozyme Phosphorylase is an important allosteric enzyme in carbohydrate metabolism. Enzymes from different sources differ in their regulatory mechanisms and in their natural substrates. However, all known phosphorylases share catalytic and structural properties.probableP32811

Prediction of Enzyme Commission Number ?

EC Number ?Description ?Confidence Level ?
2.-.-.-Transferases.probable
2.4.-.-Glycosyltransferases.probable
2.4.1.-Hexosyltransferases.probable
2.4.1.1Phosphorylase.probable

Spatial Structural Prediction

Structural Models Based on Templates

Template: 2GJ4, chain A
Confidence level:very confident
Coverage over the Query: 17-257,268-839
View the alignment between query and template
View the model in PyMOL