Citrus Sinensis ID: 010917


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-------
MSTARKLKVMASVSNSLSFKHGLSLWCPQSPSLHRIRHSSAKNFQRRGFVVAYSSFANENREFVIVGGGNAAGYAARTFVEHGMADGRLCIVSKEAYAPYERPALTKGYLFPLDKKPARLPGFHTCVGSGGERQTPEWYKEKGIEMIYQDPVTSIDIEKQTLITNSGKLLKYGSLIVATGCTASRFPEKIGGYLPGVHYIRDVADADALISSLEKAKKVVVVGGGYIGMEVAAAAVGWKLDTTIIFPENHLLQRLFTPSLAQRYEQLYQQNGVKFVKGASIKNLEAGSDGRVAAVKLEDGSTIDADTIVIGIGAKPTVSPFERVGLNSSVGGIQVDGQFRTRMPGIFAIGDVAAFPLKMYDRTARVEHVDHARQSAQHCIKALLSAQTHTYDYLPYFYSRVFEYEGSPRKVWWQFFGDNVGETIEIGNFDPKIATFWIDSGKLKGVLVESGSPEEFQLLPTLARSQPFVDKAKLQQASSVEEALEIARAALPVEAAV
ccHHHHHHHccccccccccccccccccccccccccCCcccccccccccccccccccccccccEEEEcccHHHHHHHHHHHHcccccccEEEEcccccccccccccccccccccccccccccccccccccccccccHHHHHHcccEEEccccEEEECccccEEEcccccEEccccEEEcccccccccccccccccccEEEEccHHHHHHHHHHHHccccEEEEcccHHHHHHHHHHHHccccEEEEccccccccccccHHHHHHHHHHHHHcccEEEcccEEEEEEEcccccEEEEEcccccEECccEEEEccccccccHHHHHcccccccccEEEccccccccccEEEcccccccccccccccEEEccHHHHHHHHHHHHHHHHcccccccccccEEEccccccccccccEEEEEECcccccEEEECcccccEEEEEEEccEEEEEEECcccHHHHHHHHHHHHccccccHHHHccccccHHHHHHHHHcccccccc
**************NSLSFKHGLSLWCPQSPSLHRIRH*SAKNFQRRGFVVAYSSFANENREFVIVGGGNAAGYAARTFVEHGMADGRLCIVSKEAYAPYERPALTKGYLFPLDKKPARLPGFHTCVGSGGERQTPEWYKEKGIEMIYQDPVTSIDIEKQTLITNSGKLLKYGSLIVATGCTASRFPEKIGGYLPGVHYIRDVADADALISSLEKAKKVVVVGGGYIGMEVAAAAVGWKLDTTIIFPENHLLQRLFTPSLAQRYEQLYQQNGVKFVKGASIKNLEAGSDGRVAAVKLEDGSTIDADTIVIGIGAKPTVSPFERVGLNSSVGGIQVDGQFRTRMPGIFAIGDVAAFPLKMYDRTARVEHVDHARQSAQHCIKALLSAQTHTYDYLPYFYSRVFEYEGSPRKVWWQFFGDNVGETIEIGNFDPKIATFWIDSGKLKGVLVESGSPEEFQLLPTLARSQPFVDKAKLQQASSVEEALEI****L******
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MSTARKLKVMASVSNSLSFKHGLSLWCPQSPSLHRIRHSSAKNFQRRGFVVAYSSFANENREFVIVGGGNAAGYAARTFVEHGMADGRLCIVSKEAYAPYERPALTKGYLFPLDKKPARLPGFHTCVGSGGERQTPEWYKEKGIEMIYQDPVTSIDIEKQTLITNSGKLLKYGSLIVATGCTASRFPEKIGGYLPGVHYIRDVADADALISSLEKAKKVVVVGGGYIGMEVAAAAVGWKLDTTIIFPENHLLQRLFTPSLAQRYEQLYQQNGVKFVKGASIKNLEAGSDGRVAAVKLEDGSTIDADTIVIGIGAKPTVSPFERVGLNSSVGGIQVDGQFRTRMPGIFAIGDVAAFPLKMYDRTARVEHVDHARQSAQHCIKALLSAQTHTYDYLPYFYSRVFEYEGSPRKVWWQFFGDNVGETIEIGNFDPKIATFWIDSGKLKGVLVESGSPEEFQLLPTLARSQPFVDKAKLQQASSVEEALEIARAALPVEAAV

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
Monodehydroascorbate reductase, chloroplastic Catalyzes the conversion of monodehydroascorbate to ascorbate, oxidizing NADH in the process.confidentP92947

Prediction of Enzyme Commission Number ?

EC Number ?Description ?Confidence Level ?
1.-.-.-Oxidoreductases.probable
1.6.-.-Acting on NADH or NADPH.probable
1.6.5.-With a quinone or similar compound as acceptor.probable
1.6.5.4Monodehydroascorbate reductase (NADH).probable

Spatial Structural Prediction

Structural Models Based on Templates

Template: 3KLJ, chain A
Confidence level:very confident
Coverage over the Query: 59-120,132-284,300-486
View the alignment between query and template
View the model in PyMOL
Template: 3IWA, chain A
Confidence level:very confident
Coverage over the Query: 61-95,144-476
View the alignment between query and template
View the model in PyMOL
Template: 2BC0, chain A
Confidence level:very confident
Coverage over the Query: 42-120,132-490
View the alignment between query and template
View the model in PyMOL
Template: 1GTE, chain A
Confidence level:very confident
Coverage over the Query: 12-119,131-357,368-399
View the alignment between query and template
View the model in PyMOL