Citrus Sinensis ID: 000978


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---
MVSTRRSGSFSGNNSKRSSSSEDKPPSPKRQKVENGGTVEKPVQSTDNSKEVCTPAAPDPGECGTGDTPIAGEGVSGGKTEATPAVSVTAPIAEGSTPGVMEKPRSSFSSWSLYQKQNPTFETSTPWCRLLSQSGQNSNVPICASIFTVGSSRQCNFPLKDQAISAVLCKIKHVQSEGSAVAMVESIGSKGLQVNGKNLKKNTSCELRSGDEVVFGSLGNHAYIFQQLLNEVAVKGAEVQSGPGKFLQLERRSGDPSAVAGASILASLSSLRSDLSRWKSPAQSTSKIHLGSELPTPSADNDGVEVDLDGLEGNSTANTDSDKAADIGSIGKNIPVECNQDAGIEAGNVLDGRNEWRRDSQPASTLGMSLRCAVFREDILAGILDGTNLQESFENFPYYLSENTKNVLIAASYIHLKHKDHAKYTSELTTVNPRILLSGPAGSEIYQEMLAKALAHYFGAKLLIFDSHSLLGGLSSKEAELLKDGTSAEKSCGCVKQGPTSTDLAKSINLPVSESDTPSSSNPPPQGPESQPKMETDTTLTSAGTSKNHMLRIGDRVRFVGSTSGGLYPTASPTRGPPCGTRGKVALLFEDNPSSKIGVRFDKPIPDGVDLGGQCEGGHGFFCNVTDLRLENSGTEDLDKLLINTLFEVVFSESRSCPFILFMKDAEKSIAGNSDSYSTFKSRLEKLPDKVIVIGSHTHTDNRKEKSHPGGLLFTKFGSNQTALLDLAFPDSFGRLHDRGKEIPKATKLLTKLFPNKVTIHMPQDEALLASWKHQLDRDSETLKMKGNLNHLRTVLGRSGLECEGLETLCIRDQSLTNESAEKIVGWALSHHLMQNPEADPDARLVLSCESIQYGIGIFQAIQNESKSLKKSLKDVVTENEFEKRLLADVIPPSDIGVTFDDIGALENVKDTLKELVMLPLQRPELFCKGQLTKPCKGILLFGPPGTGKTMLAKAVATEAGANFINISMSSITSKWFGEGEKYVKAVFSLASKIAPSVIFVDEVDSMLGRRENPGEHEAMRKMKNEFMVNWDGLRTKDTERILVLAATNRPFDLDEAVIRRLPRRLMVNLPDAPNRAKILQVILAKEDLSPDVDFDAIANMTDGYSGSDLKNLCVTAAHRPIKEILEKEKKERAAAMAEGKPAPALSGCADIRPLNMDDFKYAHERVCASVSSESVNMSELLQWNELYGEGGSRRKKALSYFM
cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccHHHHHHccccccccEEEECcEEEEcccccccccccccccccEEEEEEEEEccccEEEEEEEEccccEEEccEEcccccEEEEccccEEEEcccccccHHHHccccccccccccccccccccEEEEccccccccccHHHHHHHHcccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccHHHHHHHHHHHcccccccccccccccccccccHHHHHHHHHHHHHHcccccccccccccccccccEEccccccHHHHHHHHHHHHHHHHcccEEEEEccccccccccHHHHHccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccEEEEEcccccccccccccccccccccccEEEEEcccccccccccccccccccccccccccccccccEEcccccccccccccHHHHHHHHHHHHHHHcccccccEEEEEEccHHHccccccHHHHHHHHHHHccccEEEEECcccccccccccccccccEEccccccHHHcccccccccccccccccccHHHHHHHHccccccEEEcccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHcccccccccccccccccccHHHHHHHHHHHHHHHHHccccccccccccccHHHHHHcccHHHHHHHHHHHHHHccccccccHHHHHHHccccccccccccccccccccHHHHHHHHHHHHcccccccccccccccccccEEEEEcccccHHHHHHHHHHHHcccEEEEEEccccccccccHHHHHHHHHHHHHHHccccEEEEEccHHcccccccccccHHHHHHHHHHHHHHccccccccccEEEEEEcccccccHHHHHHccccccccccccHHHHHHHHHHHcccccccccccHHHHHHHcccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHccccccccccccccccccHHHHHHHHHHccccccHHHHccHHHHHHHHHHccccccccccccccc
**************************************************************************************************************************TSTPWCRLLSQSGQNSNVPICASIFTVGSSRQCNFPLKDQAISAVLCKIKHVQSEGSAVAMVESIGSKGLQVNGKNLKKNTSCELRSGDEVVFGSLGNHAYIFQQLLNEVAVKGAE*******************************************************************************************************AGIEAGNVLD*************TLGMSLRCAVFREDILAGILDGTNLQESFENFPYYLSENTKNVLIAASYIHLKHKDHAKYTSELTTVNPRILLSGPAGSEIYQEMLAKALAHYFGAKLLIFDSHSLLG*******************************************************************************RIGDRVRFVGS********************GKVALLFEDNPSSKIGVRFDKPIPDGVDLGGQCEGGHGFFCNVTDLRLENSGTEDLDKLLINTLFEVVFSESRSCPFILFMKDAEKSIAGNSDSYSTFKSRLEKLPDKVIVIG***************GLLFTKFGSNQTALLDLAFPDSFGRLHDRGKEIPKATKLLTKLFPNKVTIHMPQDEALLASWKHQLDRDSETLKMKGNLNHLRTVLGRSGLECEGLETLCIRDQSLTNESAEKIVGWALSHHLMQNP*ADPDARLVLSCESIQYGIGIFQAIQN********LKDVVTENEFEKRLLADVIPPSDIGVTFDDIGALENVKDTLKELVMLPLQRPELFCKGQLTKPCKGILLFGPPGTGKTMLAKAVATEAGANFINISMSSITSKWFGEGEKYVKAVFSLASKIAPSVIFVDEVDS******************NEFMVNWDGLRTKDTERILVLAATNRPFDLDEAVIRRLPRRLMVNLPDAPNRAKILQVILAKEDLSPDVDFDAIANMTDGYSGSDLKNLCVTAAHRPIKEI************************ADIRPLNMDDFKYAHERVCASVS***VNMSELLQWNELY***********SYFM
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MVSTRRSGSFSGNNSKRSSSSEDKPPSPKRQKVENGGTVEKPVQSTDNSKEVCTPAAPDPGECGTGDTPIAGEGVSGGKTEATPAVSVTAPIAEGSTPGVMEKPRSSFSSWSLYQKQNPTFETSTPWCRLLSQSGQNSNVPICASIFTVGSSRQCNFPLKDQAISAVLCKIKHVQSEGSAVAMVESIGSKGLQVNGKNLKKNTSCELRSGDEVVFGSLGNHAYIFQQLLNEVAVKGAEVQSGPGKFLQLERRSGDPSAVAGASILASLSSLRSDLSRWKSPAQSTSKIHLGSELPTPSADNDGVEVDLDGLEGNSTANTDSDKAADIGSIGKNIPVECNQDAGIEAGNVLDGRNEWRRDSQPASTLGMSLRCAVFREDILAGILDGTNLQESFENFPYYLSENTKNVLIAASYIHLKHKDHAKYTSELTTVNPRILLSGPAGSEIYQEMLAKALAHYFGAKLLIFDSHSLLGGLSSKEAELLKDGTSAEKSCGCVKQGPTSTDLAKSINLPVSESDTPSSSNPPPQGPESQPKMETDTTLTSAGTSKNHMLRIGDRVRFVGSTSGGLYPTASPTRGPPCGTRGKVALLFEDNPSSKIGVRFDKPIPDGVDLGGQCEGGHGFFCNVTDLRLENSGTEDLDKLLINTLFEVVFSESRSCPFILFMKDAEKSIAGNSDSYSTFKSRLEKLPDKVIVIGSHTHTDNRKEKSHPGGLLFTKFGSNQTALLDLAFPDSFGRLHDRGKEIPKATKLLTKLFPNKVTIHMPQDEALLASWKHQLDRDSETLKMKGNLNHLRTVLGRSGLECEGLETLCIRDQSLTNESAEKIVGWALSHHLMQNPEADPDARLVLSCESIQYGIGIFQAIQNESKSLKKSLKDVVTENEFEKRLLADVIPPSDIGVTFDDIGALENVKDTLKELVMLPLQRPELFCKGQLTKPCKGILLFGPPGTGKTMLAKAVATEAGANFINISMSSITSKWFGEGEKYVKAVFSLASKIAPSVIFVDEVDSMLGRRENPGEHEAMRKMKNEFMVNWDGLRTKDTERILVLAATNRPFDLDEAVIRRLPRRLMVNLPDAPNRAKILQVILAKEDLSPDVDFDAIANMTDGYSGSDLKNLCVTAAHRPIKEILEKEKKERAAAMAEGKPAPALSGCADIRPLNMDDFKYAHERVCASVSSESVNMSELLQWNELYGEGGSRRKKALSYFM

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: 3D8B, chain A
Confidence level:very confident
Coverage over the Query: 896-1127,1152-1191
View the alignment between query and template
View the model in PyMOL
Template: 2QP9, chain X
Confidence level:very confident
Coverage over the Query: 897-1189
View the alignment between query and template
View the model in PyMOL
Template: 3CF2, chain A
Confidence level:very confident
Coverage over the Query: 389-472,632-719,754-817,829-873,887-1007,1020-1092,1109-1121,1146-1164
View the alignment between query and template
View the model in PyMOL
Template: 2QP9, chain X
Confidence level:very confident
Coverage over the Query: 390-473,633-702,746-816
View the alignment between query and template
View the model in PyMOL
Template: 2JQJ, chain A
Confidence level:very confident
Coverage over the Query: 121-229
View the alignment between query and template
View the model in PyMOL
Template: 1QVR, chain A
Confidence level:confident
Coverage over the Query: 642-666,681-704,744-1008,1021-1125
View the alignment between query and template
View the model in PyMOL
Template: 2GNO, chain A
Confidence level:probable
Coverage over the Query: 598-702,746-776
View the alignment between query and template
View the model in PyMOL

Templates for Structure Prediction

ID ?Alignment Graph ?Confidence Level ? View Alignment and Template ?
Query
3pie, chain Aprobable Alignment | Template Structure