Citrus Sinensis ID: 000184


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------1190------1200------1210------1220------1230------1240------1250------1260------1270------1280------1290------1300------1310------1320------1330------1340------1350------1360------1370------1380------1390------1400------1410------1420------1430------1440------1450------1460------1470------1480------1490------1500------1510------1520------1530------1540------1550------1560------1570------1580------1590------1600------1610------1620------1630------1640------1650------1660------1670------1680------1690------1700------1710------1720------1730------1740------1750------1760------1770------1780------1790------1800------1810------1820------1830------1840------1850------1860------1870------1880------1890
MKMGLRDRTTSMEDPDGTLASVAQCIEQLRQSSSSVQEKEYSLRQLLELIDTRENAFSAVGSHSQAVPVLVSLLRSGSLAVKIQAATVLGSLCKENELRVKVLLGGCIPPLLGLLKSSSAEGQIAAAKTIYAVSQGGAKDYVGSKIFSTEGVVPVLWEQLKNGLKSGNVVDNLLTGALRNLSTSTEGFWAATVQAGGIDILVKLLTLGQSSTQAHVCFLLACMMEEDVSVCSRVLAADATKQLLKLLGSGNEASVRAEAAGALKSLSDHCKDARREIAGSNGIPAMINATIAPSKEFMQGEYAQALQENAMCALANISGGLSNVISSLGQSLESCSSPAQVADTLGALASALMIYDSKAESTKPSDPLIVEQTLVNQFKPRLPFLVQERTIEALASLYGNPLLSIKLENSEAKRLLVGLITMATNEVQEELVRALLKLCNNEGSLWRALQGREGIQLLISLLGLSSEQQQECSVALLCLLSNENDDSKWAITAAGGIPPLVQILESGSAKAKEDSASILRNLCNHSEDIRACVESADAVPALLWLLKNGSANGKEIAAKTLNHLIHKSDTATISQLTALLTSDLPESKVYVLDALKSMLSVVSFSDILREGSAANDAVETMIKILSSTKEETQAKSASALAGIFETRKDLRESSIAVKTLWSVMKLLDVGSECILVEASRCLAAIFLSVRENREVAAVARDALSPLVVLAGSPVLEVAEQATCALANLILDSEVSEKAIAEEIILPATRVLCEGTISGKTLAAAAIARLLHSRKIDYTITDCVNRAGTVLALVSFLESASGSVATSEALDALAILSRSGGASGHVKPAWQVLAEFPKSITPIVSSIADATPLLQDKAIEILSRLCRDQPAVLGDEVTGASGCISSIARRVISCTNPKVKIGGAALLICAAKVNHQRIVEDLNHSNSCAPLIQSLVTMLSVVEASPLRNQGNDDKEAISIYRYTSEEARNGGESESSTAVIFGENLAIWLLCVLACHDEKCKIVIMEAGAMDVLTDRISDSLSQFTQMDYKEDSSIWICALLLAILFQDRDIIRAHATMKAIPILANLLKSEESANRYFAAQAVASLVCNGSRGTLLSVANSGAAGGLISLLGCADADVQDLLDLSEEFALVRYPDQVALERLFRVEDIRVGATSRKAIPALVDLLKPIPDRPGAPFLALGFLIQLAKDCPSNKIVMVEAGALEALTKYLSLGPQDATEEAATDLLGILFSSAEIRRHESAFAAVSQLVAVLRLGGRGARYSAAKALESLFSADHIRNAESARQAVQPLVEILNTGLEREQHAAIAALVRLLSENPSRALAVADVEMNAVDVLCRILSSNCSMELKGDAAELCGVLFGNTRIRSTVAAARCVEPLVSLLVTEFSPAQHSVVRALDKLVDDEQLAELVAAHGAVIPLVGLLYGRNYMLHEAISRALVKLGKDRPSCKLEMVKAGVIESVLDILHEAPDFLCSAFAELLRILTNNAGIAKGPSAAKVVEPLFLLLTRSEFGPDGQHSALQVLVNILEHPQCRADYSLTSHQAIEPLIPLLDSPAPAVQQLAAELLSHLLLEEQLQKDPVTQQVIGPLIRVLGSGIHILQQRAVKALVSIALTWPNEIAKEGGVTELSKIILQADPSLPHALWESAASVLSSILQFSSEFYLEVPVAVLVRLLRSGSEGTVIGSLNALLVLESDDGTSAEAMAESGAIEALLELLRSHQCEETAARLLEVLLNNGKIRESKATKSAILPLSQYLLDPQTQAQQARLLATLALGDLFQNEGLARSADAVSACRALVNVLEEQPTEEMKVVAICALQNLVMYSRSNKRAVAEAGGVQVVLDLIGSSDPETSVQAAMFVKLLFSNHTIQEYASSETVRAITGKITLALCSILLTVLI
ccccccccccccccccccHHHHHHHHHHHHcccccHHHHHHHHHHHHHHHccccccHHHHHcccccHHHHHHHHccccHHHHHHHHHHHHHHHcccHHHHHHHHccccHHHHHHHccccHHHHHHHHHHHHHHHcccccccHHHHHHHHcccHHHHHHHHHcccccccHHHHHHHHHHHHHHcccHHHHHHHHHcccHHHHHHHHccccHHHHHHHHHHHHHHHHccHHHHHHHHHcccHHHHHHHHcccccHHHHHHHHHHHHHHHHccHHHHHHHHHccccHHHHHHHccccHHHHHHHHHHHHHHHHHHHHHHHHccccccHHHHcccccccccHHHHHHHHHHHHHHHHHHccccccccccccHHHHHHHHHHccccccHHHHHHHHHHHHHHHcccHHHHHHHHcccHHHHHHHHHcccHHHHHHHHHHHHHHHcccccHHHHHHHcccHHHHHHHcccccHHHHHHHHHHHHHHcccccccHHHHHHccccHHHHHHHHcccHHHHHHHHHHHHHHHcccHHHHHHHHHcccHHHHHHHHccccHHHHHHHHHHHHHHHcccccccHHHHHHHHHccccccHHHHHHHHHHHHHHccccHHHHHHHHHcccHHHHHHHHccccHHHHHHHHHHHHHHHcccHHHHHHHHHcccHHHHHHHcccccHHHHHHHHHHHHHHHccccHHHHHHHHHcccHHHHHHHHccccHHHHHHHHHHHHHHHcccHHHHHHHHcccHHHHHHHHccccHHHHHHHHHHHHHHHccccccHHHHHHHHHcccHHHHHHHHHccccHHHHHHHHHHHHHHHHcccccccccHHHHHHHccccccHHHHHHHHcccHHHHHHHHHHHHHHHcccccccccccccccccHHHHHHHHHcccccHHHHHHHHHHHHHHHHcHHHHHHHHHccccccHHHHHHHHHHHHcccccccccccccHHHHHHHHHccHHHHccccccccHHHHHHHHHHHHHHHHHHcccHHHHHHHHHccccHHHHHHHHccccccHHHHHHHHHHHHHHHHHHHHHcccHHHHHHHHHcccHHHHHHHHccccHHHHHHHHHHHHHHHHccccccHHHHHHccccHHHHHHHcccccHHHHHHHHHHHHHHHccccHHHHHHHHHcHHHHHHHHHcccHHHHHHHHcccccccccHHHHHHHHHHHHccccHHHHHHHHcccHHHHHHHHcccccHHHHHHHHHHHHHHHccHHHHHHHHHcccHHHHHHHHHcccHHHHHHHHHHHHHHHcccHHHHHHHHcccHHHHHHHHccccHHHHHHHHHHHHHHHHccccHHHHHHHHHccHHHHHHHHHcccccHHHHHHHHHHHHHHHccHHHHHHHHHccccHHHHHHHccccHHHHHHHHHHHHHHHccHHHHHHHHHcccHHHHHHHHccccHHHHHHHHHHHHHHHcccHHHHHHHHHcccHHHHHHHHccccHHHHHHHHHHHHHHHcccccccccccccccHHHHHHHccccccHHHHHHHHHHHHHHHccccccHHHHHHHccccHHHHHHcccccHHHHHHHHHHHHHHHccccccccHHHcccHHHHHHHHccccHHHHHHHHHHHHHccccccHHHHHccccHHHHHHHHcccccccHHHHHHHHHHHHHHHccHHHHHHHccHHHHHHHHHcccHHHHHHHHHHHHHHcccccccHHHHHHcccHHHHHHHHcccHHHHHHHHHHHHHHHccHHHHHHHHHccHHHHHHHHcccccHHHHHHHHHHHHHHHHHccHHHHHHHHHcccHHHHHHHHcccccHHHHHHHHHHHHHHHcccHHHHHHHHHcccHHHHHHHHccccHHHHHHHHHHHHHHHcccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHc
*****************TLASVAQCIEQLRQSSSSVQEKEYSLRQLLELIDTRENAFSAVGSHSQAVPVLVSLLRSGSLAVKIQAATVLGSLCKENELRVKVLLGGCIPPLLGLLKSSSAEGQIAAAKTIYAVSQGGAKDYVGSKIFSTEGVVPVLWEQLKNGLKSGNVVDNLLTGALRNLSTSTEGFWAATVQAGGIDILVKLLTLGQSSTQAHVCFLLACMMEEDVSVCSRVLAADATKQLLKLLGSGNEASVRAEAAGALKSLSDHCKDARREIAGSNGIPAMINATIAPSKEFMQGEYAQALQENAMCALANISGGLSNVISSLGQSLESCSSPAQVADTLGALASALMIYDSKAESTKPSDPLIVEQTLVNQFKPRLPFLVQERTIEALASLYGNPLLSIKLENSEAKRLLVGLITMATNEVQEELVRALLKLCNNEGSLWRALQGREGIQLLISLLGLSSEQQQECSVALLCLLSNENDDSKWAITAAGGIPPLVQILESGSAKAKEDSASILRNLCNHSEDIRACVESADAVPALLWLLKNGSANGKEIAAKTLNHLIHKSDTATISQLTALLTSDLPESKVYVLDALKSMLSVVSFSDILREGSAANDAVETMIKILSSTKEETQAKSASALAGIFETRKDLRESSIAVKTLWSVMKLLDVGSECILVEASRCLAAIFLSVRENREVAAVARDALSPLVVLAGSPVLEVAEQATCALANLILDSEVSEKAIAEEIILPATRVLCEGTISGKTLAAAAIARLLHSRKIDYTITDCVNRAGTVLALVSFLESASGSVATSEALDALAILSRSGGASGHVKPAWQVLAEFPKSITPIVSSIADATPLLQDKAIEILSRLCRDQPAVLGDEVTGASGCISSIARRVISCTNPKVKIGGAALLICAAKVNHQRIVEDLNHSNSCAPLIQSLVTMLSVVEASPLRNQGNDDKEAISIYRYTSEEARNGGESESSTAVIFGENLAIWLLCVLACHDEKCKIVIMEAGAMDVLTDRISDSLSQFTQMDYKEDSSIWICALLLAILFQDRDIIRAHATMKAIPILANLLKSEESANRYFAAQAVASLVCNGSRGTLLSVANSGAAGGLISLLGCADADVQDLLDLSEEFALVRYPDQVALERLFRVEDIRVGATSRKAIPALVDLLKPIPDRPGAPFLALGFLIQLAKDCPSNKIVMVEAGALEALTKYLSLGPQDATEEAATDLLGILFSSAEIRRHESAFAAVSQLVAVLRLGGRGARYSAAKALESLFSADHIRNAESARQAVQPLVEILNTGLEREQHAAIAALVRLLSENPSRALAVADVEMNAVDVLCRILSSNCSMELKGDAAELCGVLFGNTRIRSTVAAARCVEPLVSLLVTEFSPAQHSVVRALDKLVDDEQLAELVAAHGAVIPLVGLLYGRNYMLHEAISRALVKLGKDRPSCKLEMVKAGVIESVLDILHEAPDFLCSAFAELLRILTNNAGIAKGPSAAKVVEPLFLLLTRSEFGPDGQHSALQVLVNILEHPQCRADYSLTSHQAIEPLIPLLDSPAPAVQQLAAELLSHLLLEEQLQKDPVTQQVIGPLIRVLGSGIHILQQRAVKALVSIALTWPNEIAKEGGVTELSKIILQADPSLPHALWESAASVLSSILQFSSEFYLEVPVAVLVRLLRSGSEGTVIGSLNALLVLESDDGTSAEAMAESGAIEALLELLRSHQCEETAARLLEVLLNNGKIRESKATKSAILPLSQYLLDPQTQAQQARLLATLALGDLFQNEGLARSADAVSACRALVNVLEEQPTEEMKVVAICALQNLVMYSRSNKRAVAEAGGVQVVLDLIGSSDPETSVQAAMFVKLLFSNHTIQEYASSETVRAITGKITLALCSILLTVLI
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MKMGLRDRTTSMEDPDGTLASVAQCIEQLRQSSSSVQEKEYSLRQLLELIDTRENAFSAVGSHSQAVPVLVSLLRSGSLAVKIQAATVLGSLCKENELRVKVLLGGCIPPLLGLLKSSSAEGQIAAAKTIYAVSQGGAKDYVGSKIFSTEGVVPVLWEQLKNGLKSGNVVDNLLTGALRNLSTSTEGFWAATVQAGGIDILVKLLTLGQSSTQAHVCFLLACMMEEDVSVCSRVLAADATKQLLKLLGSGNEASVRAEAAGALKSLSDHCKDARREIAGSNGIPAMINATIAPSKEFMQGEYAQALQENAMCALANISGGLSNVISSLGQSLESCSSPAQVADTLGALASALMIYDSKAESTKPSDPLIVEQTLVNQFKPRLPFLVQERTIEALASLYGNPLLSIKLENSEAKRLLVGLITMATNEVQEELVRALLKLCNNEGSLWRALQGREGIQLLISLLGLSSEQQQECSVALLCLLSNENDDSKWAITAAGGIPPLVQILESGSAKAKEDSASILRNLCNHSEDIRACVESADAVPALLWLLKNGSANGKEIAAKTLNHLIHKSDTATISQLTALLTSDLPESKVYVLDALKSMLSVVSFSDILREGSAANDAVETMIKILSSTKEETQAKSASALAGIFETRKDLRESSIAVKTLWSVMKLLDVGSECILVEASRCLAAIFLSVRENREVAAVARDALSPLVVLAGSPVLEVAEQATCALANLILDSEVSEKAIAEEIILPATRVLCEGTISGKTLAAAAIARLLHSRKIDYTITDCVNRAGTVLALVSFLESASGSVATSEALDALAILSRSGGASGHVKPAWQVLAEFPKSITPIVSSIADATPLLQDKAIEILSRLCRDQPAVLGDEVTGASGCISSIARRVISCTNPKVKIGGAALLICAAKVNHQRIVEDLNHSNSCAPLIQSLVTMLSVVEASPLRNQGNDDKEAISIYRYTSEEARNGGESESSTAVIFGENLAIWLLCVLACHDEKCKIVIMEAGAMDVLTDRISDSLSQFTQMDYKEDSSIWICALLLAILFQDRDIIRAHATMKAIPILANLLKSEESANRYFAAQAVASLVCNGSRGTLLSVANSGAAGGLISLLGCADADVQDLLDLSEEFALVRYPDQVALERLFRVEDIRVGATSRKAIPALVDLLKPIPDRPGAPFLALGFLIQLAKDCPSNKIVMVEAGALEALTKYLSLGPQDATEEAATDLLGILFSSAEIRRHESAFAAVSQLVAVLRLGGRGARYSAAKALESLFSADHIRNAESARQAVQPLVEILNTGLEREQHAAIAALVRLLSENPSRALAVADVEMNAVDVLCRILSSNCSMELKGDAAELCGVLFGNTRIRSTVAAARCVEPLVSLLVTEFSPAQHSVVRALDKLVDDEQLAELVAAHGAVIPLVGLLYGRNYMLHEAISRALVKLGKDRPSCKLEMVKAGVIESVLDILHEAPDFLCSAFAELLRILTNNAGIAKGPSAAKVVEPLFLLLTRSEFGPDGQHSALQVLVNILEHPQCRADYSLTSHQAIEPLIPLLDSPAPAVQQLAAELLSHLLLEEQLQKDPVTQQVIGPLIRVLGSGIHILQQRAVKALVSIALTWPNEIAKEGGVTELSKIILQADPSLPHALWESAASVLSSILQFSSEFYLEVPVAVLVRLLRSGSEGTVIGSLNALLVLESDDGTSAEAMAESGAIEALLELLRSHQCEETAARLLEVLLNNGKIRESKATKSAILPLSQYLLDPQTQAQQARLLATLALGDLFQNEGLARSADAVSACRALVNVLEEQPTEEMKVVAICALQNLVMYSRSNKRAVAEAGGVQVVLDLIGSSDPETSVQAAMFVKLLFSNHTIQEYASSETVRAITGKITLALCSILLTVLI

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: 4DB8, chain A
Confidence level:very confident
Coverage over the Query: 453-570,608-729
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View the model in PyMOL
Template: 4DB8, chain A
Confidence level:very confident
Coverage over the Query: 411-570,608-686
View the alignment between query and template
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Template: 1JDH, chain A
Confidence level:very confident
Coverage over the Query: 65-323,404-553,565-570,628-728
View the alignment between query and template
View the model in PyMOL
Template: 1JDH, chain A
Confidence level:very confident
Coverage over the Query: 106-309,390-570,609-632,644-647,658,669-770
View the alignment between query and template
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Template: 1WA5, chain B
Confidence level:very confident
Coverage over the Query: 411-572,586,611-869
View the alignment between query and template
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Template: 3TT9, chain A
Confidence level:very confident
Coverage over the Query: 370-567
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Template: 2Z6G, chain A
Confidence level:very confident
Coverage over the Query: 31-323,406-566,611,627-750
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Template: 3NOW, chain A
Confidence level:very confident
Coverage over the Query: 16-327,341-342,367-573,608-820
View the alignment between query and template
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Template: 1XM9, chain A
Confidence level:very confident
Coverage over the Query: 107-327,346-355,394-569
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Template: 1XM9, chain A
Confidence level:very confident
Coverage over the Query: 371-735
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Template: 1B3U, chain A
Confidence level:confident
Coverage over the Query: 1202-1814
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Template: 1QGR, chain A
Confidence level:confident
Coverage over the Query: 22-328,343-367,381-387,405-913
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Template: 1QGR, chain A
Confidence level:confident
Coverage over the Query: 69-319,399-967
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Template: 1W63, chain A
Confidence level:confident
Coverage over the Query: 1286-1864
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Template: 3OQS, chain A
Confidence level:probable
Coverage over the Query: 192-321,333-394,414-644
View the alignment between query and template
View the model in PyMOL