Citrus Sinensis ID: 037843


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---
GNEVLKLSKNDKNPIVVIDNYDSFTYNLCQYMGELELELSQGYHFEVYRNDELTVAELKRKKPRGVVISPGPGAPQESGISFRTVLELGPTMPLFCMGLKCIGEALEGRLYVLLLVSCMGKALVYYNEKEEADGLLAGLSNPFTAGRYHGLVIEKDSFRSDELEVTAWTEDGLIMAARHKKYKHLHGVQFHPESILTSEGKTK
ccccccccccccccEEEEEcccccHHHHHHHHHHcccccccccEEEEEEcccccHHHHHcccccEEEEcccccccccccccHHHHHHHcccccEEccHHHHHHHHHccEEEEcccccccccEEEEEcccccccccccccccccEEEccEEEEEEccccccccEEEEEEccccEEEEEEccccccccccccccccccccccccc
*************PIVVIDNYDSFTYNLCQYMGELELELSQGYHFEVYRNDELTVAELKRKKPRGVVISPGPGAPQESGISFRTVLELGPTMPLFCMGLKCIGEALEGRLYVLLLVSCMGKALVYYNEKEEADGLLAGLSNPFTAGRYHGLVIEKDSFRSDELEVTAWTEDGLIMAARHKKYKHLHGVQFHPESI*TS*****
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GNEVLKLSKNDKNPIVVIDNYDSFTYNLCQYMGELELELSQGYHFEVYRNDELTVAELKRKKPRGVVISPGPGAPQESGISFRTVLELGPTMPLFCMGLKCIGEALEGRLYVLLLVSCMGKALVYYNEKEEADGLLAGLSNPFTAGRYHGLVIEKDSFRSDELEVTAWTEDGLIMAARHKKYKHLHGVQFHPESILTSEGKTK

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
Anthranilate synthase component II probableQ57690
Anthranilate synthase component II probableO27693
Anthranilate synthase component II probableP20576

Prediction of Enzyme Commission Number ?

EC Number ?Description ?Confidence Level ?
4.-.-.-Lyases.probable
4.1.-.-Carbon-carbon lyases.probable
4.1.3.-Oxo-acid-lyases.probable
4.1.3.27Anthranilate synthase.probable

Spatial Structural Prediction

Structural Models Based on Templates

Template: 1QDL, chain B
Confidence level:very confident
Coverage over the Query: 13-200
View the alignment between query and template
View the model in PyMOL