Citrus Sinensis ID: 002238


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-------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-------95
MKEKTCVGFKLLTLYVGFCSILFVSASGDDGDAAVMLALKKSLNPPESLGWSDTDPCKWNHVVCIEDKRITRIQIGHQNLQGTLPSNLQNLTKLERLELQWNSISGPLPSLNGLASLEVVMLSNNQFTSVPSDFFTGLSSLQSIEIDNNPFSSWEIPQSLRNASGLQNFSANSANITGQIPSFFGPDEFPGLTILHLAFNQLIGGLPASFSGSQIQSLWVNGQNGNAKLGGGIDVIQNMTSLKEIWLHSNAFSGPLPDFSGVKQLESLSLRDNFFTGPVPDSLVKLESLKIVNMTNNLLQGPVPEFDRSVSLDMAKGSNNFCLPSPGACDPRLNALLSVVKLMGYPQRFAENWKGNDPCSDWIGVTCTKGNITVINFQKMNLTGTISPEFASFKSLQRLILADNNLSGMIPEGLSVLGALKELDVSNNQLYGKIPSFKSNAIVNTDGNPDIGKEKSSSFQGSPSGSPTGTGSGNASSTENGVKNSSALITVILFCVIGGAFVISLTGVLVFCLCKKKQKRFSRVQSPNAMVIHPRHSGSENSESVKITVAGSNVSVGAISETHTVPSSEPGDIQMLEAGNMVISIQVLRNVTNNFSEENILGRGGFGTVYKGELHDGTKIAVKRMEAGVISGKGLTEFKSEIAVLTKVRHRHLVALLGHCLDGNEKLLVFEYMPQGTLSRHIFNWAEEGLKPLEWNRRLTIALDVARGVEYLHGLAHQSFIHRDLKPSNILLGDDMRAKVADFGLVRLAPEGKGSIETRIAGTFGYLAPEYAVTGRVTTKVDVFSFGVILMELITGRKALDESQPEESMHLVTWFRRIHLSKDSFHKAIDPTIDLNEGILASISTVAELAGHCCAREPYQRPDMGHAVNVLSSLVELWKPTDQNSEDIYGIDLEMSLPQALKKWQAYEGRSYMESSSSSLLPSLDNTQTSIPTRPYGFAESFKSADGR
cccccccHHHHHHHHHHHHHHHHHccccccHHHHHHHHHHHcccccccccccccccccccEEEEcccccEEEEEcccccccccccHHHcccccccEEEccccccccccccccccccccEEEcccccccccccccccccccccEEEccccccccccccHHHHccccccEEEECccCEEECccccccccccccccEEEccccccccccccccccccHHHHHHHcccccccccccHHHHcccccccEEEccccccccccccccccccccEEEcccccccccccccccccccccEEEcccccccccccccccccccccccccccccccccccccccHHHHHHHHHccccccccccccccccccccccccccccccccEEEcccccccccccHHHHccccccEEEcccccccccccHHHHccccccEEEcccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHcccccccccccccccccccccccccccccEEEEEEccccccccccccccccccccccccccccccccccHHHHHHHHcccccccEEECcccccEEEEECccccEEEEEEEEcccccccHHHHHHHHHHHHccccccccccEEEEEEcccEEEEEEcccccccHHHHcccccccccccccHHHHHHHHHHHHHHHHHHHcccccccCCcccccccccccccccEEEcccccccccccccccCEEECcccccccccccccccccccccccccHHHHHHHHHccccccccccccccccHHHHHHHHHccccccccECccccccccccHHHHHHHHHHHHccccccccccccHHHHHHHHHHcHHccccccccccccccccccccHHHHHHHHHHHccccccccccccccccccccccccccccccccccccccccc
****TCVGFKLLTLYVGFCSILFVSASGDDGDAAVMLALKKSLNP*ESLGWSDTDPCKWNHVVCIEDKRITRIQIGHQNLQGTLPSNLQNLTKLERLELQWNSISGPLPSLNGLASLEVVMLSNNQFTSVPSDFFTGLSSLQSIEIDNNPFSSWEIPQSLRNASGLQNFSANSANITGQIPSFFGPDEFPGLTILHLAFNQLIGGLPASFSGSQIQSLWVNGQNGNAKLGGGIDVIQNMTSLKEIWLHSNAFSGPLPDFSGVKQLESLSLRDNFFTGPVPDSLVKLESLKIVNMTNNLLQGPVPEFDRSVSLDMAKGSNNFCLPSPGACDPRLNALLSVVKLMGYPQRFAENWKGNDPCSDWIGVTCTKGNITVINFQKMNLTGTISPEFASFKSLQRLILADNNLSGMIPEGLSVLGALKELDVSNNQLYGKIPSFKSNAIVNTDGNPDIGKEKSSSFQGS************************ALITVILFCVIGGAFVISLTGVLVFCLCKKK********************************************************QMLEAGNMVISIQVLRNVTNNFSEENILGRGGFGTVYKGELHDGTKIAVKRMEAGVISGKGLTEFKSEIAVLTKVRHRHLVALLGHCLDGNEKLLVFEYMPQGTLSRHIFNWAEEGLKPLEWNRRLTIALDVARGVEYLHGLAHQSFIHRDLKPSNILLGDDMRAKVADFGLVRLAPEGKGSIETRIAGTFGYLAPEYAVTGRVTTKVDVFSFGVILMELITGRKALDESQPEESMHLVTWFRRIHLSKDSFHKAIDPTIDLNEGILASISTVAELAGHCCAREPYQRPDMGHAVNVLSSLVEL**********IYGIDLEMSLPQALKKWQ*******************************************
xxxxxHHHHHHHHHHHHHHHHHHHHxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxHHHHHHHHHHHHHHHHHHHHHHHHHxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
SSSSSSSSSSSSSSSSSSSSSxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
MKEKTCVGFKLLTLYVGFCSILFVSASGDDGDAAVMLALKKSLNPPESLGWSDTDPCKWNHVVCIEDKRITRIQIGHQNLQGTLPSNLQNLTKLERLELQWNSISGPLPSLNGLASLEVVMLSNNQFTSVPSDFFTGLSSLQSIEIDNNPFSSWEIPQSLRNASGLQNFSANSANITGQIPSFFGPDEFPGLTILHLAFNQLIGGLPASFSGSQIQSLWVNGQNGNAKLGGGIDVIQNMTSLKEIWLHSNAFSGPLPDFSGVKQLESLSLRDNFFTGPVPDSLVKLESLKIVNMTNNLLQGPVPEFDRSVSLDMAKGSNNFCLPSPGACDPRLNALLSVVKLMGYPQRFAENWKGNDPCSDWIGVTCTKGNITVINFQKMNLTGTISPEFASFKSLQRLILADNNLSGMIPEGLSVLGALKELDVSNNQLYGKIPSFKSNAIVNTDGNPDIGKEKSSSFQGSPSGSPTGTGSGNASSTENGVKNSSALITVILFCVIGGAFVISLTGVLVFCLCKKKQKRFSRVQSPNAMVIHPRHSGSENSESVKITVAGSNVSVGAISETHTVPSSEPGDIQMLEAGNMVISIQVLRNVTNNFSEENILGRGGFGTVYKGELHDGTKIAVKRMEAGVISGKGLTEFKSEIAVLTKVRHRHLVALLGHCLDGNEKLLVFEYMPQGTLSRHIFNWAEEGLKPLEWNRRLTIALDVARGVEYLHGLAHQSFIHRDLKPSNILLGDDMRAKVADFGLVRLAPEGKGSIETRIAGTFGYLAPEYAVTGRVTTKVDVFSFGVILMELITGRKALDESQPEESMHLVTWFRRIHLSKDSFHKAIDPTIDLNEGILASISTVAELAGHCCAREPYQRPDMGHAVNVLSSLVELWKPTDQNSEDIYGIDLEMSLPQALKKWQAYEGRSYMESSSSSLLPSLDNTQTSIPTRPYGFAESFKSADGR

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
Probable receptor protein kinase TMK1 Probable receptor.confidentP43298

Prediction of Enzyme Commission Number ?

No confident prediction of EC number!


Spatial Structural Prediction

Structural Models Based on Templates

Template: 3VQ2, chain A
Confidence level:very confident
Coverage over the Query: 68-339,352-456
View the alignment between query and template
View the model in PyMOL
Template: 3RGZ, chain A
Confidence level:very confident
Coverage over the Query: 27-453
View the alignment between query and template
View the model in PyMOL
Template: 3VHE, chain A
Confidence level:very confident
Coverage over the Query: 690-878
View the alignment between query and template
View the model in PyMOL
Template: 3UIM, chain A
Confidence level:very confident
Coverage over the Query: 581-874
View the alignment between query and template
View the model in PyMOL
Template: 3D5V, chain A
Confidence level:probable
Coverage over the Query: 577-751,777-832
View the alignment between query and template
View the model in PyMOL
Template: 1JNK, chain A
Confidence level:probable
Coverage over the Query: 579-658,671-802
View the alignment between query and template
View the model in PyMOL
Template: 2L2T, chain A
Confidence level:probable
Coverage over the Query: 491-517
View the alignment between query and template
View the model in PyMOL