Citrus Sinensis ID: 001132

Local Sequence Feature Prediction

Prediction and Method	Result

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------115

MIKMQEYSNGGGGDDGGGGGGPADLAKLQSIMHSIEIACSSIQMHVNPAAAEATILGLCQSPQPYKACQFILENSQVANARFQAAAAIRDAAMREWSFLTADEKKSLIGFCLCFVMQHASSPEGYVQAKISSVAAQLMKRGWLDFTSSDKEAFFSQVHQAVLGIHGVDTQFIGINFLESLVSEFSPSTSSAMGLPREFHEQCRISLELDYLKTFYCWARDAALSVTKQIIESDAAASEVKACTAALRLLHQILNWDFQFDTSGRKISINVFSAGVRTETSSSKRSECIIVQPGPAWCDALISSGHIVWLLNLYSALRQKFSSEGYWLDCPIAVSARKLIVQLCSLTGTVFPSDNGKMQEHHLLQLLSGILEWVDPPDVVAQAIESGKSESEMLDGCRALLSIATVTTPFVFDRLLKSIRPFGTLTLLSNLMCEVVKVLMMNNTEEGTWSWEARDILLDTWTTLLVSLDSTGRNVVLPLEVRNAAASLFALIVESELKVASASAMDDNGEFNYLQASISAMDERLSSYALIARAAIDATVPLLTRLFSERFARLHQGRGMIDPTETLEELYSLLLITGHVLADEGEGEIPVVPNAIQTHFVDTIEAAKHPVVLLCGSIIKFAEWSLDPEARASVFSPRLMEAIVWFLARWSQTYLMPLEEFRDSSTNLCHDTGYQHQSSTSRKALLSFFGEHNQGKPVLDIIVRISMTTLVSYPGEKDLQELTCNQLLHALVRRKNVCVHLVALGSWRELASAFANDKTLILLNSTNQRSLAQTLVLSAYGMRNSESSNQYVRDLTRHATAYLVELSGKNDLKNVSQQPDIILLVSCLLERLRGAANATEPRTQKAIYEMGFSVMNPVLLLLEVYKHESAVVYLLLKFVVDWVDGQISYLEVQETNIVIDFCTRLLQLYSSHNIGKVDFSSDSIEAQAINISQVVFFGLHIVTPLMSGDLLKYPKLCHDYFSLLSHLLEVYPETVAQLSTEAFAHVLGTLDFGLHHQDSEIVDMCLRALRALASYHYKETGAGKVGLAAQAAGINNSNGNPEEGVLSRFLRSLLQLLLFEDYSPDMVGTAADALFPLILCEPRLYQRLGSELIERQANPPFKSRLANALQSLTSSNQLSSTLDRVNYQRFRKNLTNFLVEVRGFLRTM

ccccccccccccccccccccccccHHHHHHHHHHHHHHHccccccccHHHHHHHHHHHHccccHHHHHHHHHHccccHHHHHHHHHHHHHHHHHccccccHHHHHHHHHHHHHHHHHcccccHHHHHHHHHHHHHHHHHHcccccccccHHHHHHHHHHHHHcccccccHHHHHHHHHHHHHHHcccccccccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHccHHHHHHHHHHHHHHHHHHHHccccccccccccccHHHHcccccccccccccccccccccccccHHHHHccHHHHHHHHHHHHHHHHHccccccccccHHHHHHHHHHHHHHHHcccccccccHHHHHHHHHHHHHHHHHHcccccHHHHHHHccccccHHHHHHHHHHHHHHHcHHHHHHHHHHccccccHHHHHHHHHHHHHHHHHHccccccccHHHHHHHHHHHHHHHHccccccccccccHHHHHHHHHHHHHHHHHHHcccccccccccccccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHcccccccHHHHHHHHHHHHHHHHHHHccccccccccccccccHHHHHHHHHcccHHHHHHHHHHHHHHHccccccccccccHHHHHHHHHHHHHHHHHHcccccccccccccccccccccccccHHHHHHHHHHccccccHHHHHHHHHHHHHHHccccccHHHHHHHHHHHHHHHHHccHHHHHHHccHHHHHHHHHHHccccccccccHHHHHHHHHHHHHHHcccccHHHHHHHHHHHHHHHHHHHHHHcccccccccccHHHHHHHHHHHHHHHHHHHccccccHHHHHHHHHHHHHHHHHHHHHHcccHHHHHHHHHHHHHHHHcccccccHHHHHHHHHHHHHHHHHHHccccccccccccHHHHHHHHHHHHHHHHHHHHHcccccccccccHHHHHHHHHHHHHHHHcHHHHHcccHHHHHHHHHHHHHHcccccHHHHHHHHHHHHHHHHHHHHHHcccccccHHHHHHcccccccccHHHHHHHHHHHHHHHHHccccccHHHHHHHHHHHHHHccHHHHHHHHHHHHHcccccHHHHHHHHHHHHHHccccccccccHHHHHHHHHHHHHHHHHHHHHHHcc

**************************KLQSIMHSIEIACSSIQMHVNPAAAEATILGLCQSPQPYKACQFILENSQVANARFQAAAAIRDAAMREWSFLTADEKKSLIGFCLCFVMQHASSPEGYVQAKISSVAAQLMKRGWLDFTSSDKEAFFSQVHQAVLGIHGVDTQFIGINFLESLVSEFSPSTSSAMGLPREFHEQCRISLELDYLKTFYCWARDAALSVTKQIIESDAAASEVKACTAALRLLHQILNWDFQFDTSGRKISINVFSAGVRTETSSSKRSECIIVQPGPAWCDALISSGHIVWLLNLYSALRQKFSSEGYWLDCPIAVSARKLIVQLCSLTGTVFPSDNGKMQEHHLLQLLSGILEWVDPPDVVAQAIESGKSESEMLDGCRALLSIATVTTPFVFDRLLKSIRPFGTLTLLSNLMCEVVKVLMMNNTEEGTWSWEARDILLDTWTTLLVSLDSTGRNVVLPLEVRNAAASLFALIVESELKVASASAMDDNGEFNYLQASISAMDERLSSYALIARAAIDATVPLLTRLFSERFARLHQGRGMIDPTETLEELYSLLLITGHVLADEGEGEIPVVPNAIQTHFVDTIEAAKHPVVLLCGSIIKFAEWSLDPEARASVFSPRLMEAIVWFLARWSQTYLMPLEEFRDSSTNLCHDT*********RKALLSFFGEHNQGKPVLDIIVRISMTTLVSYPGEKDLQELTCNQLLHALVRRKNVCVHLVALGSWRELASAFANDKTLILLNSTNQRSLAQTLVLSAYGMRNSESSNQYVRDLTRHATAYLVELSGKNDLKNVSQQPDIILLVSCLLERLRGAANATEPRTQKAIYEMGFSVMNPVLLLLEVYKHESAVVYLLLKFVVDWVDGQISYLEVQETNIVIDFCTRLLQLYSSHNIGKVDFSSDSIEAQAINISQVVFFGLHIVTPLMSGDLLKYPKLCHDYFSLLSHLLEVYPETVAQLSTEAFAHVLGTLDFGLHHQDSEIVDMCLRALRALASYHYKETGAGKVGLAAQAAGI***NGNPEEGVLSRFLRSLLQLLLFEDYSPDMVGTAADALFPLILCEPRLYQRLGSELI**********RLANALQSLTSSNQLSSTLDRVNYQRFRKNLTNFLVEVRGFLRTM

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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: 2X19, chain B
Confidence level:very confident
Coverage over the Query: 23-192,204-262,300-314,328-588,608-661,674-675,698-1031,1042-1143
View the alignment between query and template
View the model in PyMOL

Template: 3IBV, chain A
Confidence level:very confident
Coverage over the Query: 23-260,300-314,328-375,387-591,604-661,674-694,711-1025,1040-1126
View the alignment between query and template
View the model in PyMOL

Template: 2X1G, chain F
Confidence level:very confident
Coverage over the Query: 37-259,301-582,608-655,676-678,696-1031,1042-1142
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
4hat, chain C		confident	Alignment \| Template Structure