Citrus Sinensis ID: 009555

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--
MRERERERERQRGSRSQTLLLLPDPIFFINFFYLQNSRLLSLLNKIHPSLIFIHCFFLLQTDRRQPPDNHPKMYEETGCFDPNSMAEGGDDGISQSVKHHKEDDAAVSAIELELQKHLAFNVEDTHTQSISINSNTHSIHDPANQNHQILPPYEHSHSNWDSGVVSADHMGGFDQNENDQSQQSFINTDISSSFAQSQTPPLLNLLQFPRCTTSSMLPPNSSISFTNPDHHFPVPPPTSTDVLYDPLFHLNLPPQPQPPLFRELFQSIPHGYSFPASASRAAANSLFGEIGDERDATGAFYEDGDVGVHLDNRVLEFSRDLGCIGRRRETAGKPTKHFATERQRREQLNGKFKALKDLVPNPTKNDRASVVGDAIEYIKELLRTVNELKLLVEKKRCVRERRKRHRTEDDDEGMKPLVDPADQSYNSSLRSSWLQRKSKDTEVDVRIIDDEVTIKLVQRKKIDCLLFVSRVLDELQLDLHHVAGGHIGDYYSFLFNTKIYEGSSVYAGSIANKLIEVMDKQYAAVPPTSCAY
cHHHHHHHHHHccccccEEECccccEEEEEEEEEccHHHHHHHHHHcccccEEEHHHHHcccccccccccccccccccccccccccccccccccccccccccccHHHHHHHHHHHHcccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccHHHHHHccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccHHHHHHHHHHHHHHHHHHHHccccccccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHcccccccccccccccccccccccccccccccccccccccccEEEEEEccEEEEEEEEEccccHHHHHHHHHHHcccEEEEEEEEEcccEEEEEEEEEEcccccccHHHHHHHHHHHHHHHHcccccccccc
*****************TLLLLPDPIFFINFFYLQNSRLLSLLNKIHPSLIFIHCFFLLQ*************************************************IE***QKHLAFNV*********************************************************************************NLLQF********************************DVLYDPLFHLNL*******LFRELFQSIPHGYSF**********************************************************************REQLNGKFKALKDLVPNPTKNDRASVVGDAIEYIKELLRTVNELKLLVE************************************************EVDVRIIDDEVTIKLVQRKKIDCLLFVSRVLDELQLDLHHVAGGHIGDYYSFLFNTKIYEGSSVYAGSIANKLIEVMDKQYAAVPPT****
xxxxxxxxxxxxxxxxxxxHHHHHHHHHHHHHxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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MRERERERERQRGSRSQTLLLLPDPIFFINFFYLQNSRLLSLLNKIHPSLIFIHCFFLLQTDRRQPPDNHPKMYEETGCFDPNSMAEGGDDGISQSVKHHKEDDAAVSAIELELQKHLAFNVEDTHTQSISINSNTHSIHDPANQNHQILPPYEHSHSNWDSGVVSADHMGGFDQNENDQSQQSFINTDISSSFAQSQTPPLLNLLQFPRCTTSSMLPPNSSISFTNPDHHFPVPPPTSTDVLYDPLFHLNLPPQPQPPLFRELFQSIPHGYSFPASASRAAANSLFGEIGDERDATGAFYEDGDVGVHLDNRVLEFSRDLGCIGRRRETAGKPTKHFATERQRREQLNGKFKALKDLVPNPTKNDRASVVGDAIEYIKELLRTVNELKLLVEKKRCVRERRKRHRTEDDDEGMKPLVDPADQSYNSSLRSSWLQRKSKDTEVDVRIIDDEVTIKLVQRKKIDCLLFVSRVLDELQLDLHHVAGGHIGDYYSFLFNTKIYEGSSVYAGSIANKLIEVMDKQYAAVPPTSCAY

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: 1AM9, chain A
Confidence level:confident
Coverage over the Query: 333-399
View the alignment between query and template
View the model in PyMOL
Template: 2NYI, chain A
Confidence level:probable
Coverage over the Query: 451-523
View the alignment between query and template
View the model in PyMOL