Citrus Sinensis ID: 027156

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-------
MGLKAALITTNSRLKSFGDKLGFATLQLNELIETSDSLSGSPIDVVASELLKLLGLQRGKMEEVSQFDLVLVHIGAGEKTNDDKGKAVAHDLEYINALVRVILQMAQPATEVGSRLHLSVVLSYGQVLEADNSNLSVLISIDEKSSDLSALFPRQSYTMKGETPRNDVRHHCPMLISQWQYAVTRKDMAETFSFKDFKEHGGYLTIPADRFLHEVAFKLWKAPKYGA
ccccEEEEccccccHHHccccccEEEEHHHHHHcccccccccHHHHHHHHHHHHccccccccccccccEEEEEccccccccccccccccccHHHHHHHHHHHHHHcccccccccEEEEEEEEEccccccccccccEEEEEccccccccccccccccCECccccccccccccccEEEEEEccccccccccccccHHHHHHccccccccHHHHHHHHHHHHcccccccc
***KAALITTNSRLKSFGDKLGFATLQLNELIETS***SGSPIDVVASELLKLLGLQRGKMEEVSQFDLVLVHIGAGEKTNDDKGKAVAHDLEYINALVRVILQMAQPATEVGSRLHLSVVLSYGQVLEADNSNLSVLISID*********FPRQSYTMKGETPRNDVRHHCPMLISQWQYAVTRKDMAETFSFKDFKEHGGYLTIPADRFLHEVAFKLWKAPKYG*
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MGLKAALITTNSRLKSFGDKLGFATLQLNELIETSDSLSGSPIDVVASELLKLLGLQRGKMEEVSQFDLVLVHIGAGEKTNDDKGKAVAHDLEYINALVRVILQMAQPATEVGSRLHLSVVLSYGQVLEADNSNLSVLISIDEKSSDLSALFPRQSYTMKGETPRNDVRHHCPMLISQWQYAVTRKDMAETFSFKDFKEHGGYLTIPADRFLHEVAFKLWKAPKYGA

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

No confident close homologs for annotation transfer were detected in SWISS-PROT

Prediction of Enzyme Commission Number ?

No confident prediction of EC number!

Spatial Structural Prediction

Structural Models Based on Templates

Template: 2ZKT, chain A
Confidence level:confident
Coverage over the Query: 2-54,65-122,144-227
View the alignment between query and template
View the model in PyMOL
Template: 1O98, chain A
Confidence level:probable
Coverage over the Query: 2-222
View the alignment between query and template
View the model in PyMOL