Citrus Sinensis ID: 002468

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-------92
MPGNSYNSNSSNIPPDRVTRLVREKIERDLRKSSRASHPNDVTDNGGREVFEDEQRLRDGDNLGPSIVDEDLEGPASTPNEGCERLDGRTFSRQRLLVVANRLPVSAIRRGVKEFEARWIGWAGVNVPDEIGQKALTKALAEKRCIPVFLDEDIVHQYYNGYCNNILWPLFHYLGLPQEDRLATTRSFQSQFAAYIKANQMFADVVNKHYKDGDVVWCHDYHLMFLPKCLKEYNSDMKVGWFLHTPFPSSEIHRTLPSRSDLLRAVLAADLVGFHTYDYARHFVSACTRILGFEGTPEGVEDQGRLTRVAAFPIGIDSERFIRALEINPVQVHIKELQETFAGRKVMLGVDRLDMIKGIPQKLLAFEKFLEENSDWRGKVVLLQIAVPTRTDVPEYQRLTSQVHEIVGRINGRFGTLTAVPIHHLDRSLDFPALCALYAVTDVALVTSLRDGMNLVSYEFVACQDLKKGVLILSEFAGAAQSLGAGAILVNPWNITEVANAIARALNMSPEEREKRHWHNFTHVTTHTAQEWAETFVSELNDTVVEAQLRIKQVPPSLREADSIERYLRSNNRLLILGFNATLTEPVDTPGRRGDQIREMELKLHPDLKQPLNALCHDPKTTIVVLSGSDRNVLDKNFQEYNLWLAAENGMFLRCTTGKWMTTMPEHLNMEWVDSLKHVFEYFTERTPRSHFEQRETSLVWNYKYADVEFGRIQARDMLQHLWTGPISNASVEVVQGSKSVEVRAVGVTKGAAIDRILAEIVHSKKMKTAIDYVLCIGHFLGKDEDVYAFFEPELPDDGPGIPRTRPTDAIKVPGERRQALKVASRGSSKISQGKTQRPAQAPEKKTPNHNCTNVRQPSSDKTSYNVLDLNKENYFSCAVGRPRTNARFLLQSSDEVVSFLKKLADASSSHEAHNGPT
ccccccccccccccccHHHHHHHHHHHHHHHccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccEEEEEccccHHHHccccccccEEEEECccccccccccHHHHHHHHccccCECccccHHHHHHHHHccccccccccccccccccccccccccccHHHHHHHHHHHHHHHHHHHHccccccEEEEEcccccccHHHHHHcccccEEEEEEccccccHHHHHHcccHHHHHHHHHHccEEccccHHHHHHHHHHHHHHHccccccccEEEccCEEEEEEEEccccHHHHHHHHccccHHHHHHHHHHHccccEEEEEEccccccccHHHHHHHHHHHHHHcccccccEEEEEEEcccccccHHHHHHHHHHHHHHHHHHccccccccccEEEEcccccHHHHHHHHHHccEEEEccccccccccccEEEEEEcccccEEEEEcccccHHHcccccEEEccccHHHHHHHHHHHHcccHHHHHHHHHHHHcHHccccHHHHHHHHHHHHHHHHHHHHcccccccccccHHHHHHHHHccccEEEEEEccccccccccccccccccHHHHcccccHHHHHHHHHHHccccccEEEEEcccHHHHHHHcccccEEEEEEccEEEECcccccCECccccccccHHHHHHHHHHHHHHcccccEEEEccEEEEEEcccccHHHHHHHHHHHHHHHHHcccccccEEEEEEccEEEEEEccccHHHHHHHHHHHHHHcccccccccEEEEEcccccccHHHHHcccccccccccccccccccccccccHHHHHHHHHHccccccccccccccccccccccccccccccccccccccccccccccccccEEEEEccccccccccccccHHHHHHHHHHHHccccccccccccc
********************************************************************************************RQRLLVVANRLPVSAIRRGVKEFEARWIGWAGVNVPDEIGQKALTKALAEKRCIPVFLDEDIVHQYYNGYCNNILWPLFHYLGLPQEDRLATTRSFQSQFAAYIKANQMFADVVNKHYKDGDVVWCHDYHLMFLPKCLKEYNSDMKVGWFLHTPFPSSEIHRTLPSRSDLLRAVLAADLVGFHTYDYARHFVSACTRILGFEGTPEGVEDQGRLTRVAAFPIGIDSERFIRALEINPVQVHIKELQETFAGRKVMLGVDRLDMIKGIPQKLLAFEKFLEENSDWRGKVVLLQIAVPTRTDVPEYQRLTSQVHEIVGRINGRFGTLTAVPIHHLDRSLDFPALCALYAVTDVALVTSLRDGMNLVSYEFVACQDLKKGVLILSEFAGAAQSLGAGAILVNPWNITEVANAIARALNMSPEEREKRHWHNFTHVTTHTAQEWAETFVSELNDTVVEAQLRIKQVPPSLREADSIERYLRSNNRLLILGFNATLTEPVDT****************PDLKQPLNALCHDPKTTIVVLSGSDRNVLDKNFQEYNLWLAAENGMFLRCTTGKWMTTMPEHLNMEWVDSLKHVFEYFTERTPRSHFEQRETSLVWNYKYADVEFGRIQARDMLQHLWTGPISNASVEVVQGSKSVEVRAVGVTKGAAIDRILAEIVHSKKMKTAIDYVLCIGHFLGKDEDVYAFFEPE**************DAIKVPGERR**********************************************YNVLDLNKENYFSCAVGRPRTNARFLLQSSDEVVSFLK****************
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MPGNSYNSNSSNIPPDRVTRLVREKIERDLRKSSRASHPNDVTDNGGREVFEDEQRLRDGDNLGPSIVDEDLEGPASTPNEGCERLDGRTFSRQRLLVVANRLPVSAIRRGVKEFEARWIGWAGVNVPDEIGQKALTKALAEKRCIPVFLDEDIVHQYYNGYCNNILWPLFHYLGLPQEDRLATTRSFQSQFAAYIKANQMFADVVNKHYKDGDVVWCHDYHLMFLPKCLKEYNSDMKVGWFLHTPFPSSEIHRTLPSRSDLLRAVLAADLVGFHTYDYARHFVSACTRILGFEGTPEGVEDQGRLTRVAAFPIGIDSERFIRALEINPVQVHIKELQETFAGRKVMLGVDRLDMIKGIPQKLLAFEKFLEENSDWRGKVVLLQIAVPTRTDVPEYQRLTSQVHEIVGRINGRFGTLTAVPIHHLDRSLDFPALCALYAVTDVALVTSLRDGMNLVSYEFVACQDLKKGVLILSEFAGAAQSLGAGAILVNPWNITEVANAIARALNMSPEEREKRHWHNFTHVTTHTAQEWAETFVSELNDTVVEAQLRIKQVPPSLREADSIERYLRSNNRLLILGFNATLTEPVDTPGRRGDQIREMELKLHPDLKQPLNALCHDPKTTIVVLSGSDRNVLDKNFQEYNLWLAAENGMFLRCTTGKWMTTMPEHLNMEWVDSLKHVFEYFTERTPRSHFEQRETSLVWNYKYADVEFGRIQARDMLQHLWTGPISNASVEVVQGSKSVEVRAVGVTKGAAIDRILAEIVHSKKMKTAIDYVLCIGHFLGKDEDVYAFFEPELPDDGPGIPRTRPTDAIKVPGERRQALKVASRGSSKISQGKTQRPAQAPEKKTPNHNCTNVRQPSSDKTSYNVLDLNKENYFSCAVGRPRTNARFLLQSSDEVVSFLKKLADASSSHEAHNGPT

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
Alpha,alpha-trehalose-phosphate synthase [UDP-forming] 1 Required for normal embryo development, vegetative growth and transition to flowering. Regulates embryo growth, cell wall deposition, starch and sucrose degradation, but not cell differentiation. Involved in the regulation of glucose sensing and signaling genes during plant development.confidentQ9SYM4

Prediction of Enzyme Commission Number ?

EC Number ?Description ?Confidence Level ?
2.-.-.-Transferases.probable
2.4.-.-Glycosyltransferases.probable
2.4.1.-Hexosyltransferases.probable
2.4.1.15Alpha,alpha-trehalose-phosphate synthase (UDP-forming).probable

Spatial Structural Prediction

Structural Models Based on Templates

Template: 3T5T, chain A
Confidence level:very confident
Coverage over the Query: 95-540
View the alignment between query and template
View the model in PyMOL
Template: 1UQT, chain A
Confidence level:confident
Coverage over the Query: 95-546
View the alignment between query and template
View the model in PyMOL
Template: 1U02, chain A
Confidence level:probable
Coverage over the Query: 574-760,772-789
View the alignment between query and template
View the model in PyMOL