Citrus Sinensis ID: 001023

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------1120------1130------1140------1150------1160------1170------1180-----
MDLNNSTESTVPHFEINTSSSSRRSISSSQSRASRGNSIREVTLGDLGSKPVRYGSRGGDSEGLSMSQKEISEEDARFVYINDPVKSNEKFEFAGNSIRTGKYSILTFIPRNLFEQFHRVAYIYFLVIAVLNQLPQLAVFGRGVSILPLAFVLSVTAIKDAYEDYRRHRSDRIENNRLANVLVNNQFQEKKWKDIRVGEIIKIKTNETIPCDMVLLSTSDPTGVAYLQTINLDGESNLKTRYAKQETLLKVPEKETISGLIKCEKPNRNIYGFHANMEVDGKRLSLGPSNILLRGCELKNTSWALGVAVYAGQETKVMLNSSGAPSKRSWLEMHMNSEIIKLSFFLVALCTVVSICAAVWLKRHNDELDYMPYYRRKDFSEEGEPDNYKYYGWGLEILFTFLMSVIVFQVMIPISLYISMELVRLGQAYFMIQDSHMYDEASSSRFQCRALNINEDLGQIKYVFSDKTGTLTENKMEFRCASIWGIDYSGGNARSHSEEVGYSVQVDGKVLRPKLTVNVDPHLLQLSRSGKNTEEGKHVYDFFLALAACNTIVPLVVDTSDPNVKLVDYQGESPDEQALVYAAAAYGFMLIERTSGHIVIDIQGQRQSRFNVLGLHEFDSDRKRMSVILGLPDKTVTLFVKGADTSMFSVIAKALNMNVIRGTESHLHAYSSLGLRTLVVGMRELSASEFEQWQSSFEAASNALFGRAALLRKVASSVENNLCILGASGIEDKLQQGVPEAIESLRAAGIKVWVLTGDKQETAISIGYSSKLLTSKMTQVIINSNSKESCRKSLEDAIAMSKKLKTVPGVSHNSERSSGAGVAQLALIIDGTSLVYILDSELDEQLFQLAGTCSVVLCCRVAPLQKAGIVALVKTRTSDMTLAIGDGANDVSMIQMADVGVGISGQEGRQAVMSSDFAMGQFRFLVTLLLVHGHWNYQRMGYMILYNFYRNAVLVFVLFWYVLFTAFTLTTAINEWSSVLYSVIYTSLPTIVVAILDKDLSRRTLLQNPQLYGAGHRQECYNTKLFWLTMADTLWQSVVIFFIPFGAYWDSTIDVSSIGDLWTLAVVILVNIHLAMDVIRWTWITHAVIWGSIIATLICVMIIDAVPSLPGYWAFFEVAKTRLFWFCLMIILVAALIPRFLVKFLYQYYYPCDVQIAREAEKVGNLRERGAGEIEMNPVLDPPQR
ccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccEEEEEcccccccccccccccEEEcccccccccccHHHHHHHHHHHHHHHHHHHHHHccccccccccccccccHHHHHHHHHcHHHHHHHHccccHHHHccccccccccccEEEEccccccccEEEEEEccccccccEEEEECccccccEEEEccccccccccccccccHHHcccccccccccEEEEEccccccccEEEEEEEEccCEEccccccEEEcccEEccccEEEEEEEEcccccHHHcccccccccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHEEEEcccccccccccccccccccccccccccccccHHHHHHHHHHHHHHHcccccEEEEEEEEHHHHHHHHHHHccccccccccccccEEccccccccccccEEEEEcccccccccccEEEEEEEccEEcccccccccccccccccccccccccccccccccHHHHHHHHcccccccHHHHHHHHHHHHccccEEEECccccccccccEEEEcccccHHHHHHHHHHcccEEEEEcccEEEEEEcccEEEEEEEEEEEccccccccEEEEEEccccEEEEEEcccHHHHHHHHHHccccHHHHHHHHHHHHHHHccccEEEEEEEcccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHcccEEEEEHHHHccccccHHHHHHHHHHccccEEEEccHHHHHHHHHHHHccccccccEEEEEccccHHHHHHHHHHHHHHHHccccccccccccccccccccccEEEEEEcccHHHHccHHHHHHHHHHHHcccEEEEccccccHHHHHHHHHHcccccEEEEEcccccccccEEEcccccccccHHHHHHHHHccccHHHHHHHHHHHHHHcHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHcccHHHHHHHHHHHHHHHHHHHHHHHHHHHHcccccHHHHHHccHHHHHccccccccHHHHHHHHHHHHHHHHHHHHHHHccccccccccccHHHHHHHHHHHHHHHHHHHHHcccHHHHHHHHHHHHHHHHHHHHHHcccccccHHHHHHHHHccHHHHHHHHHHHHHHHHHHHHHHHHHHcccccHHHHHHHHHHHcccccccccccccccccccccc
****************************************************************************RFVYINDPVKSNEKFEFAGNSIRTGKYSILTFIPRNLFEQFHRVAYIYFLVIAVLNQLPQLAVFGRGVSILPLAFVLSVTAIKDAYEDYRRHRSDRIENNRLANVLVNNQFQEKKWKDIRVGEIIKIKTNETIPCDMVLLSTSDPTGVAYLQTINLDGESNLKTRYAKQETLLKVPEKETISGLIKCEKPNRNIYGFHANMEVDGKRLSLGPSNILLRGCELKNTSWALGVAVYAGQETKVML*********SWLEMHMNSEIIKLSFFLVALCTVVSICAAVWLKRHNDELDYMPYYRRKDFSEEGEPDNYKYYGWGLEILFTFLMSVIVFQVMIPISLYISMELVRLGQAYFMIQDSHMYDEASSSRFQCRALNINEDLGQIKYVFSDKTGTLTENKMEFRCASIWGIDYSGGNARS*************KVLRPKLTVNVDPHLLQL*********GKHVYDFFLALAACNTIVPLVVDTSDPNVKLVDYQGESPDEQALVYAAAAYGFMLIERTSGHIVIDIQGQRQSRFNVLGLHEFDSDRKRMSVILGLPDKTVTLFVKGADTSMFSVIAKALNMNVIRGTESHLHAYSSLGLRTLVVGMRELSASEFEQWQSSFEAASNALFGRAALLRKVASSVENNLCILGASGIEDKLQQGVPEAIESLRAAGIKVWVLTGDKQETAISIGYSSKLLTSKMTQVIINSNSKESCRKSLEDAI***********************VAQLALIIDGTSLVYILDSELDEQLFQLAGTCSVVLCCRVAPLQKAGIVALVKTRTSDMTLAIGDGANDVSMIQMADVGVGISGQEGRQAVMSSDFAMGQFRFLVTLLLVHGHWNYQRMGYMILYNFYRNAVLVFVLFWYVLFTAFTLTTAINEWSSVLYSVIYTSLPTIVVAILDKDLSRRTLLQNPQLYGAGHRQECYNTKLFWLTMADTLWQSVVIFFIPFGAYWDSTIDVSSIGDLWTLAVVILVNIHLAMDVIRWTWITHAVIWGSIIATLICVMIIDAVPSLPGYWAFFEVAKTRLFWFCLMIILVAALIPRFLVKFLYQYYYPCDVQIAREA*************************
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MDLNNSTESTVPHFEINTSSSSRRSISSSQSRASRGNSIREVTLGDLGSKPVRYGSRGGDSEGLSMSQKEISEEDARFVYINDPVKSNEKFEFAGNSIRTGKYSILTFIPRNLFEQFHRVAYIYFLVIAVLNQLPQLAVFGRGVSILPLAFVLSVTAIKDAYEDYRRHRSDRIENNRLANVLVNNQFQEKKWKDIRVGEIIKIKTNETIPCDMVLLSTSDPTGVAYLQTINLDGESNLKTRYAKQETLLKVPEKETISGLIKCEKPNRNIYGFHANMEVDGKRLSLGPSNILLRGCELKNTSWALGVAVYAGQETKVMLNSSGAPSKRSWLEMHMNSEIIKLSFFLVALCTVVSICAAVWLKRHNDELDYMPYYRRKDFSEEGEPDNYKYYGWGLEILFTFLMSVIVFQVMIPISLYISMELVRLGQAYFMIQDSHMYDEASSSRFQCRALNINEDLGQIKYVFSDKTGTLTENKMEFRCASIWGIDYSGGNARSHSEEVGYSVQVDGKVLRPKLTVNVDPHLLQLSRSGKNTEEGKHVYDFFLALAACNTIVPLVVDTSDPNVKLVDYQGESPDEQALVYAAAAYGFMLIERTSGHIVIDIQGQRQSRFNVLGLHEFDSDRKRMSVILGLPDKTVTLFVKGADTSMFSVIAKALNMNVIRGTESHLHAYSSLGLRTLVVGMRELSASEFEQWQSSFEAASNALFGRAALLRKVASSVENNLCILGASGIEDKLQQGVPEAIESLRAAGIKVWVLTGDKQETAISIGYSSKLLTSKMTQVIINSNSKESCRKSLEDAIAMSKKLKTVPGVSHNSERSSGAGVAQLALIIDGTSLVYILDSELDEQLFQLAGTCSVVLCCRVAPLQKAGIVALVKTRTSDMTLAIGDGANDVSMIQMADVGVGISGQEGRQAVMSSDFAMGQFRFLVTLLLVHGHWNYQRMGYMILYNFYRNAVLVFVLFWYVLFTAFTLTTAINEWSSVLYSVIYTSLPTIVVAILDKDLSRRTLLQNPQLYGAGHRQECYNTKLFWLTMADTLWQSVVIFFIPFGAYWDSTIDVSSIGDLWTLAVVILVNIHLAMDVIRWTWITHAVIWGSIIATLICVMIIDAVPSLPGYWAFFEVAKTRLFWFCLMIILVAALIPRFLVKFLYQYYYPCDVQIAREAEKVGNLRERGAGEIEMNPVLDPPQR

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
Phospholipid-transporting ATPase 1 Involved in transport of phospholipids.confidentP98204
Probable phospholipid-transporting ATPase IM probableQ8TF62
Probable phospholipid-transporting ATPase C887.12 This magnesium-dependent enzyme catalyzes the hydrolysis of ATP coupled with the transport of phospholipids.probableO94296

Prediction of Enzyme Commission Number ?

EC Number ?Description ?Confidence Level ?
3.-.-.-Hydrolases.probable
3.6.-.-Acting on acid anhydrides.probable
3.6.3.-3'-nucleotidase.probable
3.6.3.1Transferred entry: 3.6.3.14.probable

Spatial Structural Prediction

Structural Models Based on Templates

Template: 3IXZ, chain A
Confidence level:very confident
Coverage over the Query: 83-247,283-361,395-431,442-496,520-591,604-779,794-1153
View the alignment between query and template
View the model in PyMOL
Template: 2ZXE, chain A
Confidence level:very confident
Coverage over the Query: 86-247,283-373,398-431,442-496,513,528-590,603-1150
View the alignment between query and template
View the model in PyMOL
Template: 3AR4, chain A
Confidence level:very confident
Coverage over the Query: 85-247,265-266,282-373,394-431,442-690,701-779,825-1149
View the alignment between query and template
View the model in PyMOL
Template: 1MHS, chain A
Confidence level:very confident
Coverage over the Query: 85-247,273-282,304-364,395-431,442-488,520-521,540-554,570-589,603-685,719-786,827-1150
View the alignment between query and template
View the model in PyMOL