Citrus Sinensis ID: 038861

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-----
YGRKKDKDEIVELLLRDDSRADDGFSVISIIGMGGVGKTTLAQLVYKDDRVRRHFEIKAWTFVSEDFDVFRVTKSILMSISNVTVNDNDLNSLQEKLEKELIKKKFLLVLDDMWNENYNDWELLNRPFKAGTSGSKIIVTTRNRVVAERVGSVREYPLGELSKEDCLRVLTQHSLGATDFNTHQSLKEVREKIAMKCKGLPLAAKTLGGLLRGKHDPKDWEIVLNADVWDFADDGCDIIPALKVSYRFLPPQLKQCFAYCSLFPKDYEFEEEEIILLWTAEGFLDQECDGRKMEELGREFVRELHSRSLFHQSSKDASRFVMHSLINDLARWAAGEIYFRMEDTLKGENQKSFSKNLRHFSYILGEYDGEKRLKSICDGEHLRTFLPVKLVFSLWGYCNIFNLPNEIGNLRHLRFLNLSGTNIQILPESINSLYNLHTILLEDCRRLKKLCNDMGNLTKLHHLRNSNVHSLGEMPKGFGKLTCLLTLGRFVVGKVSGSGLRELKSLTHLQETLRISKLENVKDVCDACEAQLNNKVNLKALLLEWSIWHVRNLDQCEFETRVLSMLKPYQDVQELTITGYGGPKFPIWLGDSSFSKLVRLKFEHCGTSTSLPSVGQLPFLKELVISGMGRVKSVGSEFYGSSCSVPFPSLETLYFANMQEWEEWIPFGSGQEVDEVFPKLRKLSLFSCSKLQGALPKRLLLLERLVIQSCKQLLVTIQCLPALSELQIKGCKRVVLSSPMDLSSLKSVLLGEMANEVISGCPQLLSLVTEDDLELSNCKGLTKLPQALLTLSSLRELRISGCASLVSFPQAALPSQLRTFKIEHCNALESLPEAWMRNSNSSLQSLEIGTIEIEECNALESLPEAWMQDSSTSLESLNIDGCDSLTYIARIQLPPSLRRLIISDCYNLRTLTGDQGICSSRSGRTSLTSFSSENELPATLEQLEVRFCSNLAFLSRNGNLPQALKYLEVSYCSKLESLAERLDNTSLEVIAISYLENLKSLPAGLHNLHHLQELKVYGCPNLESFPEGGLPSTKLTKLTIGYCENLKALPNCMHNLTSLLHLEIGWCRSLVSFPEDGFPTNLESLEVHDLKISKPLFEWGLNKFSSLRELQITGGCPVLLSSPWFPASLTVLHISYMPNLESLSLIVENLTSLEILILCKCPKLD
cccHHHHHHHHHHHHcccccccccEEEEEEEEccccHHHHHHHHHHccccHHcccccEEEEEEcccccHHHHHHHHHHHccccccccccHHHHHHHHHHHHcccEEEEEEcccccccHHHHHHHHHHHcccccccEEEEEEccHHHHHHHcccccCCcccccHHHHHHHHHHHccccccccccccHHHHHHHHHHHccccHHHHHHHHHHccccccHHHHHHHHHccccccccccccccHHHHccccccccccccccccccccccccCCcHHHHHHHHHHccccccccccccHHHHHHHHHHHHHHccccCECccccccEEEcccHHHHHHHHHHccEEEEEcccccccccccccccEEEEEEEccccccccccccccccccccccccHHHHHcccccccccccccccccccEEEEECcccccccccHHHHHcccccEEEcccccccccccccccccccccEEEcccccccccccccccccccccccccEEEcccccccHHHHccccccccEEEEcccccccccccccccccccccccccEEEEEccccccccccHHHHHHHHccccccccccEEEEEccccccccccccccccccEEEEEECcccccccccccccccccccEEEccccccEECcccccccccccccccccEEEEccccccccccccccccccccccccccEEEEccccccccccccccccccEEEEEccccccccccccccccEEEEccccccccccccccccccEEEcccccccEEcccccccccccccccccccccccccccccccccccccEEEEEccccccccccccccccccEEEEEcccccccccHHHccccccccccccccEEEECcccccccccHHHcccccccccEEEEcccccccccccccccccccEEEEcccccccccccccccccccccccccccccccccccccccEEEEEcccccccccccccccccccEEEEEEcccccccccccccccccEEEEEcccccccccccccccccccEEEECcccccccccccccccccccEEEECcccccccccccccccccccEEEECccccccccccccccccccEEEECccccccccccccccccccccEEEECcccccccccccccccccEEEEEcccccccccccccccccccEEEEEcccccc
YGRKKDKDEIVELLLRDDSRADDGFSVISIIGMGGVGKTTLAQLVYKDDRVRRHFEIKAWTFVSEDFDVFRVTKSILMSISNVTVNDNDLNSLQEKLEKELIKKKFLLVLDDMWNENYNDWELLNRPFKAGTSGSKIIVTTRNRVVAERVGSVREYPLGELSKEDCLRVLTQHSLGATDFNTHQSLKEVREKIAMKCKGLPLAAKTLGGLLRGKHDPKDWEIVLNADVWDFADDGCDIIPALKVSYRFLPPQLKQCFAYCSLFPKDYEFEEEEIILLWTAEGFLDQECDGRKMEELGREFVRELHSRSLFHQSSKDASRFVMHSLINDLARWAAGEIYFRMEDTLKGENQKSFSKNLRHFSYILGEYDGEKRLKSICDGEHLRTFLPVKLVFSLWGYCNIFNLPNEIGNLRHLRFLNLSGTNIQILPESINSLYNLHTILLEDCRRLKKLCNDMGNLTKLHHLRNSNVHSLGEMPKGFGKLTCLLTLGRFVVGKVSGSGLRELKSLTHLQETLRISKLENVKDVCDACEAQLNNKVNLKALLLEWSIWHVRNLDQCEFETRVLSMLKPYQDVQELTITGYGGPKFPIWLGDSSFSKLVRLKFEHCGTSTSLPSVGQLPFLKELVISGMGRVKSVGSEFYGSSCSVPFPSLETLYFANMQEWEEWIPFGSGQEVDEVFPKLRKLSLFSCSKLQGALPKRLLLLERLVIQSCKQLLVTIQCLPALSELQIKGCKRVVLSSPMDLSSLKSVLLGEMANEVISGCPQLLSLVTEDDLELSNCKGLTKLPQALLTLSSLRELRISGCASLVSFPQAALPSQLRTFKIEHCNALESLPEAWMRNSNSSLQSLEIGTIEIEECNALESLPEAWMQDSSTSLESLNIDGCDSLTYIARIQLPPSLRRLIISDCYNLRTLTGDQGICSSRSGRTSLTSFSSENELPATLEQLEVRFCSNLAFLSRNGNLPQALKYLEVSYCSKLESLAERLDNTSLEVIAISYLENLKSLPAGLHNLHHLQELKVYGCPNLESFPEGGLPSTKLTKLTIGYCENLKALPNCMHNLTSLLHLEIGWCRSLVSFPEDGFPTNLESLEVHDLKISKPLFEWGLNKFSSLRELQITGGCPVLLSSPWFPASLTVLHISYMPNLESLSLIVENLTSLEILILCKCPKLD
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YGRKKDKDEIVELLLRDDSRADDGFSVISIIGMGGVGKTTLAQLVYKDDRVRRHFEIKAWTFVSEDFDVFRVTKSILMSISNVTVNDNDLNSLQEKLEKELIKKKFLLVLDDMWNENYNDWELLNRPFKAGTSGSKIIVTTRNRVVAERVGSVREYPLGELSKEDCLRVLTQHSLGATDFNTHQSLKEVREKIAMKCKGLPLAAKTLGGLLRGKHDPKDWEIVLNADVWDFADDGCDIIPALKVSYRFLPPQLKQCFAYCSLFPKDYEFEEEEIILLWTAEGFLDQECDGRKMEELGREFVRELHSRSLFHQSSKDASRFVMHSLINDLARWAAGEIYFRMEDTLKGENQKSFSKNLRHFSYILGEYDGEKRLKSICDGEHLRTFLPVKLVFSLWGYCNIFNLPNEIGNLRHLRFLNLSGTNIQILPESINSLYNLHTILLEDCRRLKKLCNDMGNLTKLHHLRNSNVHSLGEMPKGFGKLTCLLTLGRFVVGKVSGSGLRELKSLTHLQETLRISKLENVKDVCDACEAQLNNKVNLKALLLEWSIWHVRNLDQCEFETRVLSMLKPYQDVQELTITGYGGPKFPIWLGDSSFSKLVRLKFEHCGTSTSLPSVGQLPFLKELVISGMGRVKSVGSEFYGSSCSVPFPSLETLYFANMQEWEEWIPFGSGQEVDEVFPKLRKLSLFSCSKLQGALPKRLLLLERLVIQSCKQLLVTIQCLPALSELQIKGCKRVVLSSPMDLSSLKSVLLGEMANEVISGCPQLLSLVTEDDLELSNCKGLTKLPQALLTLSSLRELRISGCASLVSFPQAALPSQLRTFKIEHCNALESLPEAWMRNSNSSLQSLEIGTIEIEECNALESLPEAWMQDSSTSLESLNIDGCDSLTYIARIQLPPSLRRLIISDCYNLRTLTGDQGICSSRSGRTSLTSFSSENELPATLEQLEVRFCSNLAFLSRNGNLPQALKYLEVSYCSKLESLAERLDNTSLEVIAISYLENLKSLPAGLHNLHHLQELKVYGCPNLESFPEGGLPSTKLTKLTIGYCENLKALPNCMHNLTSLLHLEIGWCRSLVSFPEDGFPTNLESLEVHDLKISKPLFEWGLNKFSSLRELQITGGCPVLLSSPWFPASLTVLHISYMPNLESLSLIVENLTSLEILILCKCPKLD

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: 4FCG, chain A
Confidence level:very confident
Coverage over the Query: 391-482,563-701
View the alignment between query and template
View the model in PyMOL
Template: 4FCG, chain A
Confidence level:very confident
Coverage over the Query: 985-1117
View the alignment between query and template
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Template: 3G06, chain A
Confidence level:very confident
Coverage over the Query: 769-833,870-913,960-1149
View the alignment between query and template
View the model in PyMOL
Template: 4ECO, chain A
Confidence level:very confident
Coverage over the Query: 569-640,677-700,717-745,761-836,868-894,962-973,991-1047
View the alignment between query and template
View the model in PyMOL
Template: 3RGZ, chain A
Confidence level:very confident
Coverage over the Query: 396-492,557-908,934-943,962-1142
View the alignment between query and template
View the model in PyMOL
Template: 3RGZ, chain A
Confidence level:very confident
Coverage over the Query: 391-489,554-699,717-907,933-943,962-1164
View the alignment between query and template
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Template: 4ECN, chain A
Confidence level:very confident
Coverage over the Query: 756-920,939-1165
View the alignment between query and template
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Template: 3SFZ, chain A
Confidence level:very confident
Coverage over the Query: 1-281,294-337
View the alignment between query and template
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Template: 2A5Y, chain B
Confidence level:very confident
Coverage over the Query: 1-339
View the alignment between query and template
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Template: 3FXI, chain A
Confidence level:probable
Coverage over the Query: 396-881
View the alignment between query and template
View the model in PyMOL