Citrus Sinensis ID: 041016

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-------
MANLSLLLATLLLSFSILNSTCLCCPEDQKAALLEFKSLVLGDLADNSSADAMLGGLETWNSSSDCCRWEMVRCRSRGPSQEVTGLDLNNLFPLDSIVTSVVLAPIFRIRSLMTLDLSYNSMQGEVPGTGFANLTRLTYLDLKDNNLNGSIPSQLFNLRYLEFLDLSANAIEGKLSSRVAGLKNLKQLILDDNLIQGQIPAEIGNLTNLHKLSLRQNKFSGGIPLSLLQLRKLETLDLQRNSLSGEIPEDIGTLANITILALSNNALTGAIPQSIRNMTKLVTLRLDSNVLSGEISTWLFDLQGMKSLYLGGNKLKWNDNVSIVPKCMLTELSLRSCSVRGSIPLWLSTQTELTFLDLSENELEGTYPQWLSELNLGTVILSDNMLTGSLPPPLFESRNLSVLVLSRNNFSGELPETIGQSTSVMVLMLSSNNFSGHVPKSISNIYRLLVLDLSNNSFSGEFPAFGSDSLVGHVDISSNRFSGEVPSSFGVTILMLSLSENKFSGQLPQNLSNLSLLQHLDLHDNNLTGEFPAFLSQLSSLQVLNLRNTALEGSITDGLSNLTSLQILDLSNNNLLGKIPSSFGNLQGMIDTPSILPTLPEIFSFPVEIQDLIVNWKNSKRGLSSKSLAIYSLMDLSNNQLSGEIPSSLGSLKGLKSLNLSYNQLQGNIPSTFGNLEILETLDLSHNSLSGKIPQTFAKLQQLTSLYLSNNKLSGRIPESPQMDRQIDPVIYANNSGLCGMQIQVVCPEDVQPPPDS
ccHHHHHHHHHHHHHHHHccccccccHHHHHHHHHHHHccccccccccccccccccccccccccccccccEEEEcccccccEEEEECccccccccccccccccccccccccccEEEccccccccccccccccccccccEEEccccccccccccHHcccccccEEEcccccccccccHHccccccccEEEccccccCEcccccccccccccEEEcccccccccccccccccccccEEEcccccccccccccccccccccEEEcccccccccccccccccccccEEEccccccEEEccccccccccccEEEccccCEEECccccccccccccEEEcccccccccccccccccccccEEEcccccccccccHHHcccccccEEccccCEEECccccccccccccEEEccccCEECcccccccccccccEEEccccccCECccccccccccccEEEccccccCCccccccccccccEEEccccccCECccccccccccEEEccccCEECcccHHHcccccccEEEcccccccccccHHHHccccccEEEccccccCECccccccccccccEEEcccccccccccccHHHHHHcccccccccccccccccccEEEEEEEEECcccccccccccccccEEEcccccccccccHHHHccccccccccccccccccccccccccccccEEEcccccccccccccccccccccEEEccccccEEcccccccccccccccccccccccccccccccccccccccccc
**NLSLLLATLLLSFSILNSTCLCCPEDQKAALLEFKSLVLGDLADNSSADAMLGGLETWNSSSDCCRWEMVRCRSRGPSQEVTGLDLNNLFPLDSIVTSVVLAPIFRIRSLMTLDLSYNSMQGEVPGTGFANLTRLTYLDLKDNNLNGSIPSQLFNLRYLEFLDLSANAIEGKLSSRVAGLKNLKQLILDDNLIQGQIPAEIGNLTNLHKLSLRQNKFSGGIPLSLLQLRKLETLDLQRNSLSGEIPEDIGTLANITILALSNNALTGAIPQSIRNMTKLVTLRLDSNVLSGEISTWLFDLQGMKSLYLGGNKLKWNDNVSIVPKCMLTELSLRSCSVRGSIPLWLSTQTELTFLDLSENELEGTYPQWLSELNLGTVILSDNMLTGSLPPPLFESRNLSVLVLSRNNFSGELPETIGQSTSVMVLMLSSNNFSGHVPKSISNIYRLLVLDLSNNSFSGEFPAFGSDSLVGHVDISSNRFSGEVPSSFGVTILMLSLSENKFSGQLPQNLSNLSLLQHLDLHDNNLTGEFPAFLSQLSSLQVLNLRNTALEGSITDGLSNLTSLQILDLSNNNLLGKIPSSFGNLQGMIDTPSILPTLPEIFSFPVEIQDLIVNWKNSKRGLSSKSLAIYSLMDLSNNQLSGEIPSSLGSLKGLKSLNLSYNQLQGNIPSTFGNLEILETLDLSHNSLSGKIPQTFAKLQQLTSLYLSNNKLSGRIPESPQMDRQIDPVIYANNSGLCGMQIQVVC**********
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MANLSLLLATLLLSFSILNSTCLCCPEDQKAALLEFKSLVLGDLADNSSADAMLGGLETWNSSSDCCRWEMVRCRSRGPSQEVTGLDLNNLFPLDSIVTSVVLAPIFRIRSLMTLDLSYNSMQGEVPGTGFANLTRLTYLDLKDNNLNGSIPSQLFNLRYLEFLDLSANAIEGKLSSRVAGLKNLKQLILDDNLIQGQIPAEIGNLTNLHKLSLRQNKFSGGIPLSLLQLRKLETLDLQRNSLSGEIPEDIGTLANITILALSNNALTGAIPQSIRNMTKLVTLRLDSNVLSGEISTWLFDLQGMKSLYLGGNKLKWNDNVSIVPKCMLTELSLRSCSVRGSIPLWLSTQTELTFLDLSENELEGTYPQWLSELNLGTVILSDNMLTGSLPPPLFESRNLSVLVLSRNNFSGELPETIGQSTSVMVLMLSSNNFSGHVPKSISNIYRLLVLDLSNNSFSGEFPAFGSDSLVGHVDISSNRFSGEVPSSFGVTILMLSLSENKFSGQLPQNLSNLSLLQHLDLHDNNLTGEFPAFLSQLSSLQVLNLRNTALEGSITDGLSNLTSLQILDLSNNNLLGKIPSSFGNLQGMIDTPSILPTLPEIFSFPVEIQDLIVNWKNSKRGLSSKSLAIYSLMDLSNNQLSGEIPSSLGSLKGLKSLNLSYNQLQGNIPSTFGNLEILETLDLSHNSLSGKIPQTFAKLQQLTSLYLSNNKLSGRIPESPQMDRQIDPVIYANNSGLCGMQIQVVCPEDVQPPPDS

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: 1OGQ, chain A
Confidence level:very confident
Coverage over the Query: 24-316,341-362
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Template: 1OGQ, chain A
Confidence level:very confident
Coverage over the Query: 504-589,632-748
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Template: 1OZN, chain A
Confidence level:very confident
Coverage over the Query: 135-374
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Template: 2ID5, chain A
Confidence level:very confident
Coverage over the Query: 110-316,341-368,392-460
View the alignment between query and template
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Template: 2FT3, chain A
Confidence level:very confident
Coverage over the Query: 398-589,632-708
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Template: 2ID5, chain A
Confidence level:very confident
Coverage over the Query: 330-482,505-587,630-740
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Template: 3RGZ, chain A
Confidence level:very confident
Coverage over the Query: 24-751
View the alignment between query and template
View the model in PyMOL