Citrus Sinensis ID: 000982

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-------950-------960-------970-------980-------990------1000------1010------1020------1030------1040------1050------1060------1070------1080------1090------1100------1110------1120------1130------1140------1150------1160------1170------1180------1190------1200-
MKSRDTLTYLLIIIYSIAAVSADSIHGCGGFVEASSSLIKSRKATDARLDYSHVTVELRTLDGLVKESTQCAPNGYYFIPVYDKGSFVIKVNGPEGWSWNPDKVAVTVDDTGCNGNEDINFRFTGFTLLGRVVGAIGGESCLDKGGGPSNVNVELLSHSGDLISSVITSSEGSYLFKNIIPGKYKLRASHPNLSVEVRGSTEVELGFENGEVDDIFFAPGYEIRGLVVAQGNPILGVHIYLYSDDVGKVDCPQGSGNALGERKALCHAVSDADGKFMFKSVPCGQYELVPHYKGENTVFDVSPSLVSMSVRHQHVTVPEKFQVTGFSVGGRVVDENDMGVEGVKILVDGHERSITDRDGYYKLDQVTSNRYTIEAVKVHYKFNKLKEYMVLPNMASIADIKAISYDICGVVRTVGSGNKVKVALTHGPDKVKPQVKQTDNNGNFCFEVPPGEYRLSAMAATPESSSGILFLPPYADVVVKSPLLNIEFSQALVNVLGNVACKERCGPLVTVTLMRLGQKHYDGTEKKTVSLTDDSDQFLFRDVLPGKYRLEVKRTSREASSMEDNWCWEQSFIGVDVGTNDVKGVEFVQKGYWLNVISTHDVDAYMTQQDGSHVPLKVKKGSQHICVESPGVHNLHFVNPCVFFGSPVLKMDTSNPSPIYLKGEKYQLRGHINVQSRSPIGVHELPENIIVDILNGDGSISNRTTATLTSPANDQTSYAVYGFSLWANLGDQLTFVPRDPRGNEEKKILFYPRQRQVSVTNDGCQALIPAFSGRLGLYTEGSVSPPLSGVNIRIIAAEDSQIASLKKGHLALETSTGADGSFIGGPLYDDITYNVEASKPGYYLRQVGPNSFSCQKLSQISVRIYSKDDAGEPIPSVLLSLSGDDGYRNNSVSWAGGSFHFDNLFPGNFYLRPLLKEYAFSPPAQAIELGSGESREVIFQATRVAYSATGTITLLSGQPKDGVSVEARSESKGYYEETVTDTSGSYRLRGLHPDTTYVIKVVKKDGFGSTKIERASPESVTVKVGSGDIKGLDFLVFEQPEKTILSGHVEGNRIKELNSHLLVEIKSASDTSKVESVISLPMSNFFQVKDLPKGKHLLQLRSSLPSSTHRFESEIIEVDLEKNAQIHVGPLRYSVEENHHKQDLTPAPVFPLIVGVSVIGLFISMPRLKDLYQAAMGIPTPGFIATAKKEARKPVVRKKTY
cccccccEEEEEEEEEEEEcccccEEEcccEEEEcccccccccccccccccccEEEEEEEccccEEEEEEEccccEEEEccccccCEEEEEEcccccEEcccCEEEEEcccccccccCEEEEEEEEEEEcEEEEccccccccccccccccEEEEEEEccccEEEEEEEccccEEEEcccccccEEEEEEccccEEEEcCEEEEEEcccccCEEEEEEEcccEEEEEEECcccccccEEEEEECccccCECcccccccccccccEEEEEEEccccEEEEcccccCEEEEEEEECcccCEEECcccCEEEEEEEEEEEEEEEEEECcEEEEEEEEccccccCCcEEEEEccCEEEEEccccEEEEcccccccEEEEEEccccEEcccEEEEEccccccCEEEEEEEEEEEEEEEEcccccEEEEEEEEcccccEEEEEEEcccccEEEEcccccEEEEEEEccccccccCEEccccEEEEEcccCEEEEEEEEEEEEEEEEEEEccccccEEEEEEEEcCECccccCEEEEEEEccccEEEEcccccCEEEEEEECccccccccccccCECccEEEEEEEcccccccEEEEEEEEEEEEEcccEEEEEEcccccEEEEEEccccEEEEECcccEEEEEEccccCECccccEEEEccccccEEEEcEEEEEEEEEEEEECcccccccccccEEEEEEcccccccccEEECccccccccccccEEEEEEECccccEEEEECcccccccccEEEEcccCEEEEECcccccccccEEEcccccEEEcEECccccccEEEEEEcccccEEEcccccEEEEEEEcccccEEEcccccccEEEEEEccccEEEEEcccccEEEEEEEEEEEEEEEccccccccccEEEEEEccccccccCEEccccEEEEcccccccEEEECcccccccccccEEEEcccccEEEEEEEEEEEEEEEEEEEEEccccccccEEEEEECccccEEEEEEEcccCEEEEcccccccEEEEEEEEcccccccccccccccEEEEEEccccccccEEEEEEcccEEEEEEEEEcccccccccEEEEEEECccccccEEEEEEcccccEEEECccccccEEEEEEECccccccCEEEEEEEEEECcccEEEEEEEEEEEECcccccccccccHHHHHHHHHHHHHHHccHHHHHHHHHHccccccccccHHHccccccccccccc
****DTLTYLLIIIYSIAAVSADSIHGCGGFVEASSSLIKSRKATDARLDYSHVTVELRTLDGLVKESTQCAPNGYYFIPVYDKGSFVIKVNGPEGWSWNPDKVAVTVDDTGCNGNEDINFRFTGFTLLGRVVGAIGGESCLDKGGGPSNVNVELLSHSGDLISSVITSSEGSYLFKNIIPGKYKLRASHPNLSVEVRGSTEVELGFENGEVDDIFFAPGYEIRGLVVAQGNPILGVHIYLYSDDVGKVDCPQGSGNALGERKALCHAVSDADGKFMFKSVPCGQYELVPHYKGENTVFDVSPSLVSMSVRHQHVTVPEKFQVTGFSVGGRVVDENDMGVEGVKILVDGHERSITDRDGYYKLDQVTSNRYTIEAVKVHYKFNKLKEYMVLPNMASIADIKAISYDICGVVRTVGSGNKVKVALTHGPDKVKPQVKQTDNNGNFCFEVPPGEYRLSAMAATPESSSGILFLPPYADVVVKSPLLNIEFSQALVNVLGNVACKERCGPLVTVTLMRLGQKHYDGTEKKTVSLTDDSDQFLFRDVLPGKYRLEVKRTSREASSMEDNWCWEQSFIGVDVGTNDVKGVEFVQKGYWLNVISTHDVDAYMTQQDGSHVPLKVKKGSQHICVESPGVHNLHFVNPCVFFGSPVLKMDTSNPSPIYLKGEKYQLRGHINVQSRSPIGVHELPENIIVDILNGDGSISNRTTATL****NDQTSYAVYGFSLWANLGDQLTFVPRDPRGNEEKKILFYPRQRQVSVTNDGCQALIPAFSGRLGLYTEGSVSPPLSGVNIRIIAAEDSQIASLKKGHLALETSTGADGSFIGGPLYDDITYNVEASKPGYYLRQVGPNSFSCQKLSQISVRIYSKDDAGEPIPSVLLSLSGDDGYRNNSVSWAGGSFHFDNLFPGNFYLRPLLKEYAFSPPAQAIELGSGESREVIFQATRVAYSATGTITLLSGQPKDGVSVEARSESKGYYEETVTDTSGSYRLRGLHPDTTYVIKVVKKDGFGSTKIERASPESVTVKVGSGDIKGLDFLVFEQPEKTILSGHVEGNRIKELNSHLLVEIKSASDTSKVESVISLPMSNFFQVKDLPKGKHLLQLRSSLP****RFESEIIEVDLEKNAQIHVGPLRYSVEENHHKQDLTPAPVFPLIVGVSVIGLFISMPRLKDLYQAAMGIP**********************
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MKSRDTLTYLLIIIYSIAAVSADSIHGCGGFVEASSSLIKSRKATDARLDYSHVTVELRTLDGLVKESTQCAPNGYYFIPVYDKGSFVIKVNGPEGWSWNPDKVAVTVDDTGCNGNEDINFRFTGFTLLGRVVGAIGGESCLDKGGGPSNVNVELLSHSGDLISSVITSSEGSYLFKNIIPGKYKLRASHPNLSVEVRGSTEVELGFENGEVDDIFFAPGYEIRGLVVAQGNPILGVHIYLYSDDVGKVDCPQGSGNALGERKALCHAVSDADGKFMFKSVPCGQYELVPHYKGENTVFDVSPSLVSMSVRHQHVTVPEKFQVTGFSVGGRVVDENDMGVEGVKILVDGHERSITDRDGYYKLDQVTSNRYTIEAVKVHYKFNKLKEYMVLPNMASIADIKAISYDICGVVRTVGSGNKVKVALTHGPDKVKPQVKQTDNNGNFCFEVPPGEYRLSAMAATPESSSGILFLPPYADVVVKSPLLNIEFSQALVNVLGNVACKERCGPLVTVTLMRLGQKHYDGTEKKTVSLTDDSDQFLFRDVLPGKYRLEVKRTSREASSMEDNWCWEQSFIGVDVGTNDVKGVEFVQKGYWLNVISTHDVDAYMTQQDGSHVPLKVKKGSQHICVESPGVHNLHFVNPCVFFGSPVLKMDTSNPSPIYLKGEKYQLRGHINVQSRSPIGVHELPENIIVDILNGDGSISNRTTATLTSPANDQTSYAVYGFSLWANLGDQLTFVPRDPRGNEEKKILFYPRQRQVSVTNDGCQALIPAFSGRLGLYTEGSVSPPLSGVNIRIIAAEDSQIASLKKGHLALETSTGADGSFIGGPLYDDITYNVEASKPGYYLRQVGPNSFSCQKLSQISVRIYSKDDAGEPIPSVLLSLSGDDGYRNNSVSWAGGSFHFDNLFPGNFYLRPLLKEYAFSPPAQAIELGSGESREVIFQATRVAYSATGTITLLSGQPKDGVSVEARSESKGYYEETVTDTSGSYRLRGLHPDTTYVIKVVKKDGFGSTKIERASPESVTVKVGSGDIKGLDFLVFEQPEKTILSGHVEGNRIKELNSHLLVEIKSASDTSKVESVISLPMSNFFQVKDLPKGKHLLQLRSSLPSSTHRFESEIIEVDLEKNAQIHVGPLRYSVEENHHKQDLTPAPVFPLIVGVSVIGLFISMPRLKDLYQAAMGIPTPGFIATAKKEARKPVVRKKTY

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
Nodal modulator 3 May antagonize Nodal signaling.probableP69849
Nodal modulator 1 May antagonize Nodal signaling.probableQ15155
Nodal modulator 1 May antagonize Nodal signaling.probableQ6GQT9

Prediction of Enzyme Commission Number ?

No EC number assigned to the protein, probably not an enzyme!

Spatial Structural Prediction

Structural Models Based on Templates

Template: 3PRX, chain B
Confidence level:confident
Coverage over the Query: 151-251,262-376
View the alignment between query and template
View the model in PyMOL
Template: 1FNF, chain A
Confidence level:probable
Coverage over the Query: 814-1121
View the alignment between query and template
View the model in PyMOL
Template: 1D2P, chain A
Confidence level:probable
Coverage over the Query: 51-249,264-381
View the alignment between query and template
View the model in PyMOL
Template: 2XTL, chain A
Confidence level:probable
Coverage over the Query: 232-247,263-480
View the alignment between query and template
View the model in PyMOL
Template: 2Y1V, chain A
Confidence level:probable
Coverage over the Query: 780-937,948-1007
View the alignment between query and template
View the model in PyMOL
Template: 3IRP, chain X
Confidence level:probable
Coverage over the Query: 26-103
View the alignment between query and template
View the model in PyMOL

Templates for Structure Prediction

ID ?Alignment Graph ?Confidence Level ? View Alignment and Template ?
Query
3tkv, chain Aprobable Alignment | Template Structure