Citrus Sinensis ID: 002909

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-------
MSSSPSLKRSDTIADTMPDALRQSRYYMKKCFSRFVAKGKRLMKRHHLMDEVEKSIEDKIERGKVLEGLLGYILSSTQEAAVVPPNVAFAVRPNPGSWEYVKVNSEDLTVDGINVLEYLKFKETIFDQDWAKDENALELDFGAMDFSSPHLTLSSSIGNGVNYVSKFMSTRLSANSEKAKQFLDYLLALNHRGEQLMINDTLDTVDKLQAALIAAEVSISDLPKDTPYQEFQQRFKEWGFEKGWGNTAERVRETMRLFSEALQAPDAAKLQVLFSRLPNMFNVVIFSPHGYFGQADVLGLPDTGGQVVYILDQVRALEEELLLRIKQQGLSVKPQILVVTRLIPNSKGTKCSQELEPIYDTKHSHILRIPFKTEQAILPQWVSRFDIYPYLGRFAQDATAKILDLMEGKPDLIIGNYSDGNLVASLMASKLGITQATIAHALEKSKYEDSDAKWKELDPKYHFSCQFTADLIAMNQTDFIITSTYQEIAGSKDRPGQYESHTAFTMPGLCRVVSGINVFDPKFNIAAPGADQSVYFPYTEKQKRLTSFHPDIEELLYSKEDNSEHIGYLADRKKPIIFSMARLDTVKNITGLTEWYGKNKRLRNMVNLVVVAGFFDPSKSHDREEIAEIKKMHTLIEKYQLQGQFRWIAAQTDRYRNGELYRCIADTKGAFVQPALYEAFGLTVIEAMNCGLPTFATNQGGPAEIIIDGVSGFHIDPNNGDESSNKIADFFEKCKTDAGYWNQMSAAGRQRIYECYTWKIYANKVLNMGSIYGFWRQINKEPKLAKQRYIQMFYSLLFRKLASNVPIKVPEPLQSAQTAPVESQQPAAATGIAKPQPPASAVIDKPNQQEKTAQQKKRHVRKTMTVI
ccccccccccccHHHHHHHHHHHcHHHHHHHHHHHHHccccccHHHHHHHHHHHHHHHHHHHcccccccHHHHHHHcccEEEccccEEEEEcccccEEEEEEEEccccccccccHHHHHHccccccccccccccccEEEccccccccccccccccccccHHHHHHHHHHHHHcccHHHHHHHHHHHHHccccccccccccccccHHHHHHHHHHHHHHHccccccccHHHHHHHHHHHcccccccccHHHHHHHHHHHHHHHccccHHHHHHHHcccccEEEEEEEccccccccccccccccccccEEEHHHHHHHHHHHHHHHHHHHcccccccEEEEEcccccccccccccccccccccccEEEEEEcccccccccccccccccHHHHHHHHHHHHHHHHHHHccccccEEEEccHHHHHHHHHHHHHccccEEEEcccccccccccccccccccccccccccHHHHHHHccccccEEEEccHHHHHccccccccccccccccccccEEEEcccccccccEEEcccccccccccccccHHHccccccccHHHHcccccccHHHccccccccccEEEEEccccccccHHHHHHHHHcccccccccEEEEEEccccccccccHHHHHHHHHHHHHHHHHcccccEEEcccccccccccHHHHHHHccccCEECccccccccHHHHHHHHccccEEEcccccccEEEEccccCEEEccccccHHHHHHHHHHHHHHccHHHHHHHHHHHHHHHHHcccHHHHHHHHHHHHHHccccccccccccHHHHHHHHHHHHccccccccccccccccccccccccccHccccccccccccccccccccccccccccccHHHHHHHHcccEEEc
************IADTMPDALRQSRYYMKKCFSRFVAKGKRLMKRHHLMDEVEKSIEDKIERGKVLEGLLGYILSSTQEAAVVPPNVAFAVRPNPGSWEYVKVNSEDLTVDGINVLEYLKFKETIFDQDWAKDENALELDFGAMDFSSPHLTLSSSIGNGVNYVSKFMSTRLSANSEKAKQFLDYLLALNHRGEQLMINDTLDTVDKLQAALIAAEVSISDLPKDTPYQEFQQRFKEWGFEKGWGNTAERVRETMRLFSEALQAPDAAKLQVLFSRLPNMFNVVIFSPHGYFGQADVLGLPDTGGQVVYILDQVRALEEELLLRIKQQGLSVKPQILVVTRLIPNSKGTKCSQELEPIYDTKHSHILRIPFKTEQAILPQWVSRFDIYPYLGRFAQDATAKILDLMEGKPDLIIGNYSDGNLVASLMASKLGITQATIAHALEKSKYEDSDAKWKELDPKYHFSCQFTADLIAMNQTDFIITSTYQEIAGSKDRPGQYESHTAFTMPGLCRVVSGINVFDPKFNIAAPGADQSVYFPYTEKQKRLTSFHPDIEELLYSKEDNSEHIGYLADRKKPIIFSMARLDTVKNITGLTEWYGKNKRLRNMVNLVVVAGFFDP*******EIAEIKKMHTLIEKYQLQGQFRWIAAQTDRYRNGELYRCIADTKGAFVQPALYEAFGLTVIEAMNCGLPTFATNQGGPAEIIIDGVSGFHIDPNNGDESSNKIADFFEKCKTDAGYWNQMSAAGRQRIYECYTWKIYANKVLNMGSIYGFWRQINKEPKLAKQRYIQMFYSLLFRKLASNVPI************************************************************
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MSSSPSLKRSDTIADTMPDALRQSRYYMKKCFSRFVAKGKRLMKRHHLMDEVEKSIEDKIERGKVLEGLLGYILSSTQEAAVVPPNVAFAVRPNPGSWEYVKVNSEDLTVDGINVLEYLKFKETIFDQDWAKDENALELDFGAMDFSSPHLTLSSSIGNGVNYVSKFMSTRLSANSEKAKQFLDYLLALNHRGEQLMINDTLDTVDKLQAALIAAEVSISDLPKDTPYQEFQQRFKEWGFEKGWGNTAERVRETMRLFSEALQAPDAAKLQVLFSRLPNMFNVVIFSPHGYFGQADVLGLPDTGGQVVYILDQVRALEEELLLRIKQQGLSVKPQILVVTRLIPNSKGTKCSQELEPIYDTKHSHILRIPFKTEQAILPQWVSRFDIYPYLGRFAQDATAKILDLMEGKPDLIIGNYSDGNLVASLMASKLGITQATIAHALEKSKYEDSDAKWKELDPKYHFSCQFTADLIAMNQTDFIITSTYQEIAGSKDRPGQYESHTAFTMPGLCRVVSGINVFDPKFNIAAPGADQSVYFPYTEKQKRLTSFHPDIEELLYSKEDNSEHIGYLADRKKPIIFSMARLDTVKNITGLTEWYGKNKRLRNMVNLVVVAGFFDPSKSHDREEIAEIKKMHTLIEKYQLQGQFRWIAAQTDRYRNGELYRCIADTKGAFVQPALYEAFGLTVIEAMNCGLPTFATNQGGPAEIIIDGVSGFHIDPNNGDESSNKIADFFEKCKTDAGYWNQMSAAGRQRIYECYTWKIYANKVLNMGSIYGFWRQINKEPKLAKQRYIQMFYSLLFRKLASNVPIKVPEPLQSAQTAPVESQQPAAATGIAKPQPPASAVIDKPNQQEKTAQQKKRHVRKTMTVI

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
Sucrose synthase 6 Sucrose-cleaving enzyme that provides UDP-glucose and fructose for various metabolic pathways.confidentQ6K973
Sucrose synthase 7 Sucrose-cleaving enzyme that provides UDP-glucose and fructose for various metabolic pathways.confidentQ7XNX6
Sucrose synthase 6 Sucrose-cleaving enzyme that provides UDP-glucose and fructose for various metabolic pathways. Functions in callose synthesis at the site of phloem sieve elements.confidentQ9FX32

Prediction of Enzyme Commission Number ?

EC Number ?Description ?Confidence Level ?
2.-.-.-Transferases.probable
2.4.-.-Glycosyltransferases.probable
2.4.1.-Hexosyltransferases.probable
2.4.1.13Sucrose synthase.probable

Spatial Structural Prediction

Structural Models Based on Templates

Template: 3S28, chain A
Confidence level:very confident
Coverage over the Query: 26-810
View the alignment between query and template
View the model in PyMOL