Citrus Sinensis ID: 047929


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
MGCLESERVALIKLKQDFKDPSNHLASWIGDVDCCEWGGVVCNNITGHVLELNLERSELGGKINPALVDLKHLNLLDLSGNDFQGIQIPEYIGSMDNLRYLNLSGAGFAGWIPHQLGNLSNLMHLDLSGSYYELRVEDISWLAGPSLLEHLDTSDVDLIKASDWLLVINSLPSLKVLKLFSCKLHHFAPLASANFSSLNALDLSGNLFGKTSIPSWVFGLSDLVFLDLSSNIFRGPIPDGFKNLTSLRYLDLSYNQFNSTISDCFSNFDDLEYLSLGYNRLQGTISSIGLENLTFIKTLDLSFNELGQDISEILDIISACAAFELESLFLRGCKISGQLTNQLGLFKNLHTLALSDNSVSGPLPPASGELSSLTYLDLSNNNLNGMISEIHFGNLTELAFFYANGNSVNFKINSKWVPPFQLLALRLRSCHLGPHFPSWLHSQKHLSKLDISNTRISDIIPRWFWNSIYQDTIPDCWMNWPDLRVLNLGNNKFTGSIPISMGTLTSLRSLNLRSNRLSGIIPVPFENCSQLVALDMGENEFVGNIPTWMGERFSRLRILNLRSNKLHGIFPIQICHLSSLQILDVAYNRLSGSVPKCINNFTAMATIGSHHQVKAIYHASFENDYIVEEISLVMKGFMVEYNSILNLVRSIDISMNNFSGEIPMEVTNLKGLQSLNLSHNSFIGKIPETIGNMRSIESLDLSGNQISGKIPQSMSSLSFLNHLNLSDNKLVGKIPSSTQLQSFGASSITGNDLCGAPLSNCTEKNVLALCLSAGDGGTSTVISWMALGRG
cccHHHHHHHHHHHHccccccccccccccccccccccccEEEccccccEEEEEcccccccCCccccccccccccEEEccccccccccccccccccccccEEEcccccccccccccccccccccEEEccccccccCCcccccccccccccEEEcccccccccccHHHHHcccccccEEEcccccccccccccccccccccEEEccccccccccccccccccccccEEEcccccccccccccccccccccEEEcccccccccccHHHcccccccEEEccccccCECcccccccccccccEEEcccccccEEccHHHHHHcccccccccEEEcccccccccccccccccccccEEEcccccccccccccccccccccEEEccccccCECcccccccccccccEEEccccCEEECccccccccccccEEEcccccccccccccccccccccEEEccccccccccccccccccccccccccccccccccEEEccccccCECccccccccccccEEEccccCEECcccHHHcccccccEEEcccccccccccHHHHHHcccccEEEccccccCECccccccccccccEEEcccccccccccHHHHHHHHcccccccccEEEEEEcccccccEEEEEEEEEccccHHHHHHccccEEEEcccccccccccHHHcccccccccccccccccccccccccccccccEEEcccccccccccccccccccccEEcccccccccccccccccccccccccccccccccccccccccccccccccccccccccEEcEEEEEEc
MGCLESERVALIKLKQDFKDPSNHLASWIGDVDCCEWGGVVCNNITGHVLELNLERSELGGKINPALVDLKHLNLLDLSGNDFQGIQIPEYIGSMDNLRYLNLSGAGFAGWIPHQLGNLSNLMHLDLSGSYYELRVEDISWLAGPSLLEHLDTSDVDLIKASDWLLVINSLPSLKVLKLFSCKLHHFAPLASANFSSLNALDLSGNLFGKTSIPSWVFGLSDLVFLDLSSNIFRGPIPDGFKNLTSLRYLDLSYNQFNSTISDCFSNFDDLEYLSLGYNRLQGTISSIGLENLTFIKTLDLSFNELGQDISEILDIISACAAFELESLFLRGCKISGQLTNQLGLFKNLHTLALSDNSVSGPLPPASGELSSLTYLDLSNNNLNGMISEIHFGNLTELAFFYANGNSVNFKINSKWVPPFQLLALRLRSCHLGPHFPSWLHSQKHLSKLDISNTRISDIIPRWFWNSIYQDTIPDCWMNWPDLRVLNLGNNKFTGSIPISMGTLTSLRSLNLRSNRLSGIIPVPFENCSQLVALDMGENEFVGNIPTWMGERFSRLRILNLRSNKLHGIFPIQICHLSSLQILDVAYNRLSGSVPKCINNFTAMATIGS**QVKAIYHASFENDYIVEEISLVMKGFMVEYNSILNLVRSIDISMNNFSGEIPMEVTNLKGLQSLNLSHNSFIGKIPETIGNMRSIESLDLSGNQISGKIPQSMSSLSFLNHLNLSDNKLVGKIPSSTQLQSFGASSITGNDLCGAPLSNCTEKNVLALCLSAGDGGTSTVISWMALGRG
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MGCLESERVALIKLKQDFKDPSNHLASWIGDVDCCEWGGVVCNNITGHVLELNLERSELGGKINPALVDLKHLNLLDLSGNDFQGIQIPEYIGSMDNLRYLNLSGAGFAGWIPHQLGNLSNLMHLDLSGSYYELRVEDISWLAGPSLLEHLDTSDVDLIKASDWLLVINSLPSLKVLKLFSCKLHHFAPLASANFSSLNALDLSGNLFGKTSIPSWVFGLSDLVFLDLSSNIFRGPIPDGFKNLTSLRYLDLSYNQFNSTISDCFSNFDDLEYLSLGYNRLQGTISSIGLENLTFIKTLDLSFNELGQDISEILDIISACAAFELESLFLRGCKISGQLTNQLGLFKNLHTLALSDNSVSGPLPPASGELSSLTYLDLSNNNLNGMISEIHFGNLTELAFFYANGNSVNFKINSKWVPPFQLLALRLRSCHLGPHFPSWLHSQKHLSKLDISNTRISDIIPRWFWNSIYQDTIPDCWMNWPDLRVLNLGNNKFTGSIPISMGTLTSLRSLNLRSNRLSGIIPVPFENCSQLVALDMGENEFVGNIPTWMGERFSRLRILNLRSNKLHGIFPIQICHLSSLQILDVAYNRLSGSVPKCINNFTAMATIGSHHQVKAIYHASFENDYIVEEISLVMKGFMVEYNSILNLVRSIDISMNNFSGEIPMEVTNLKGLQSLNLSHNSFIGKIPETIGNMRSIESLDLSGNQISGKIPQSMSSLSFLNHLNLSDNKLVGKIPSSTQLQSFGASSITGNDLCGAPLSNCTEKNVLALCLSAGDGGTSTVISWMALGRG

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: 2-133,186-293,323-382
View the alignment between query and template
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Template: 2Z66, chain A
Confidence level:very confident
Coverage over the Query: 35-44,57-308
View the alignment between query and template
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Template: 2Z62, chain A
Confidence level:very confident
Coverage over the Query: 481-603,648-737
View the alignment between query and template
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Template: 2XOT, chain A
Confidence level:very confident
Coverage over the Query: 446-460,475-598,644-683
View the alignment between query and template
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Template: 3T6Q, chain A
Confidence level:very confident
Coverage over the Query: 52-140,167-384,434-460,473-600,645-736
View the alignment between query and template
View the model in PyMOL
Template: 1XKU, chain A
Confidence level:very confident
Coverage over the Query: 348-394,419-461,476-603,648-725
View the alignment between query and template
View the model in PyMOL
Template: 1OGQ, chain A
Confidence level:very confident
Coverage over the Query: 444-459,471-602,648-762
View the alignment between query and template
View the model in PyMOL
Template: 1JL5, chain A
Confidence level:very confident
Coverage over the Query: 96-132,146-459,474-540
View the alignment between query and template
View the model in PyMOL
Template: 3RGZ, chain A
Confidence level:very confident
Coverage over the Query: 4-294,324-459,473-765
View the alignment between query and template
View the model in PyMOL