Citrus Sinensis ID: 016565


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-------
MVKAPSLISLAALAVKRELLLGDDVIPYVYELPADLFDILLTCLPPLALQKLQTKMPFRDGDDCGSPDYCFENGRKRGRYGNFNTVWKKLFKTRWSGFTDQIEPVDWQQRYWEAHVQGCLDEAAELVVLPSFRGLISDINISDTILNYIGYEQQMNHLACDYSKLSYHCQQFGHYARCLRLQNALCVEETCQLLRESKLQSLVLRWIRFEEHVQALCKLLIQNSETLASLEFLHCKLSPSFVEGICRSLCSKRKRIHKIENLSIDISSFIENCPSSVVVELVSFLSSGRSLCSLKLRHCHLDRDFGRMVFSSLLEASSSLSILDLSGNSIGGWLSKYDRSGPLFSLGAGKSLQSLRLLNLRYDMIGNAVSLLLCKLFFPTINSWQFQ
ccccccHHHHHHHHHHHHHccccccccHHHcccHHHHHHHHHcccHHHHHHHHHcccccccccccccccccccccccccccccHHHHHHHHcccccccccccccccHHHHHHHHHHHHHHHHHHHHccccccccccccccccHHHHHHHHcccccccccccccccccHHccccHHHHHHHccccHHHHHHHHHHHHHHccHHHHHHHccHHHHHHHHHHHHHccccccEEEEccccccHHHHHHHHHHHHccccccccHHccccccccccccccccHHHHHHHHHccccccEEEEccccccccHHHHHHHHHHHcccccccEEEccccccccccccccccccccccccccccccccEEEccccccccHHHHHHHHHHcccccccccc
***APSLISLAALAVKRELLLGDDVIPYVYELPADLFDILLTCLPPLALQKLQTKMPFRDGDDCGSPDYCFENGRKRGRYGNFNTVWKKLFKTRWSGFTDQIEPVDWQQRYWEAHVQGCLDEAAELVVLPSFRGLISDINISDTILNYIGYEQQMNHLACDYSKLSYHCQQFGHYARCLRLQNALCVEETCQLLRESKLQSLVLRWIRFEEHVQALCKLLIQNSETLASLEFLHCKLSPSFVEGICRSLCSKRKRIHKIENLSIDISSFIENCPSSVVVELVSFLSSGRSLCSLKLRHCHLDRDFGRMVFSSLLEASSSLSILDLSGNSIGGWLSKYDRSGPLFSLGAGKSLQSLRLLNLRYDMIGNAVSLLLCKLFFPTINSWQ**
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
MVKAPSLISLAALAVKRELLLGDDVIPYVYELPADLFDILLTCLPPLALQKLQTKMPFRDGDDCGSPDYCFENGRKRGRYGNFNTVWKKLFKTRWSGFTDQIEPVDWQQRYWEAHVQGCLDEAAELVVLPSFRGLISDINISDTILNYIGYEQQMNHLACDYSKLSYHCQQFGHYARCLRLQNALCVEETCQLLRESKLQSLVLRWIRFEEHVQALCKLLIQNSETLASLEFLHCKLSPSFVEGICRSLCSKRKRIHKIENLSIDISSFIENCPSSVVVELVSFLSSGRSLCSLKLRHCHLDRDFGRMVFSSLLEASSSLSILDLSGNSIGGWLSKYDRSGPLFSLGAGKSLQSLRLLNLRYDMIGNAVSLLLCKLFFPTINSWQFQ

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: 1Z7X, chain W
Confidence level:very confident
Coverage over the Query: 196-378
View the alignment between query and template
View the model in PyMOL
Template: 3UN9, chain A
Confidence level:very confident
Coverage over the Query: 114-159,171,195-377
View the alignment between query and template
View the model in PyMOL
Template: 2AST, chain B
Confidence level:confident
Coverage over the Query: 27-47
View the alignment between query and template
View the model in PyMOL
Template: 4G8A, chain A
Confidence level:probable
Coverage over the Query: 157-367
View the alignment between query and template
View the model in PyMOL
Template: 2E31, chain A
Confidence level:probable
Coverage over the Query: 47-67,85-117
View the alignment between query and template
View the model in PyMOL