Citrus Sinensis ID: 002165

Local Sequence Feature Prediction

Prediction and Method	Result

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-------

MGPSSPTSSCSSSYSSPFTSPEFSSLPVMSLREKIVEKVLENRVTLIVGETGCGKSSQVPQFLLAENMEPILCTQPRRFAVVAVAKMVAKGRNCELGGEVGYHIGHSKHLSERSKIVFKTAGVLLDEMRDRGLNALKYKVIILDEVHERSVESDLVLVCVKQLLLKKNDLRVVLMSATADITKYRDYFRDLGRGERVEVLAIPSTNQRTIFQRRVSYLEQVTELLGVDHGMTSELSSLRYCSGPSPSMANAEIKPEVHKLIHDLVLHIHKNESDIEKSILVFLPTYYALEQQWHLMKPLSSFFKVHILHSSVDTEQALMAMKICKSHRKVILATNIAESSVTIPKVAYVIDSCRSLQVFWDVNRKIDSAELVWVSQSQAEQRRGRTGRTCDGQVYRLVTKSFFGTLEDHECPAILRLSLRLQVLLICCAESKAISDPKVLLQKALDPPYPEVVGDALDLLDHKRALQKISPRGRYEPTFYGRLLASFSLSFDASVLVLKFGEIGMLREGILLGILMDTQPLPILHPFGDDALFAEYTGCYFGGDGNTRLLTGRKEMVIMGNLCAFQFWQHVFKDKQRLDHLQQVLKFDETKVTASLLPKIEEEWCSLHYLVQSSLHHVSELYEDILNAVHRFRPKFLGTSNGLPTYYDPYEFEHTCLLNCDPPRDMDPLAADNEHLGPSFEAKKCVAVPFVAPNQFQSNNVAEKLASIIKEIRVQYVEDVSGNQDKAVNGSETPGEAPLCVYFINGSCNRGTGCPFSHSLQAKRPACKFFYSLQGCRNGDSCIFSHDLGQPVLPSSSFTCLPEDGVANAASLLRLFPTSSDGSILLLDDTDMHFSANLACLYDPSRIISTTCLSDSAICDTSLAGIRILWGLCHSLKTVISEAGDNPIPWKEVKCVLWYPSLESYSENLESQKTLMQNFFEHLAIRMLADALYDTRVIITMNNIKFAQLQVIFVAVK

cccccccccccccccccccccccccccHHHHHHHHHHHHHcccEEEEEcccccccHHHHHHHHHHccccccCCccccHHHHHHHHHHHHHHHcccccccEEEEEEccccccccccEEEEcHHHHHHHHHcccccccccEEEEEccccccccHHHHHHHHHHHHHHHccccEEEEEEccccHHHHHHHHccccccccccEEEcccccccccccccccHHHHHHHHccccccccccccccccccccccccccccccHHHHHHHHHHHHHHHHccccccccEEEEcccHHHHHHHHHHHcccccccEEEEccccccHHHHHHcccccccccEEEEEEcccccccccccEEEEEEcccccccccccccccccccEEcccHHHHHHccccccccccccEEEEccHHHHHHccccccccEEcccHHHHHHHHcccccccccccccccccccccccHHHHHHHHHHHHHccccccccccccccccHHHHHHHHccccHHHHHHHHHcccccccHHHHHHHHHHcccccccccccccHHHHHHHHccccccccccccccccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHccHHHccccccHHHHHHHHHccccHHHHHHHHHHHHHHHHHHHcccccccccccccccccccccccccccccccccccccccccccccccccccccccEEcccccccccccHHHHHHHHHHHHHEEEEEcccccccccccccccccccccccEEEEEccccccccccccccccccccccEEEEEEccccccccccccccccccccccccccccccccccccccHHHcccccccccEEEEEcccccHHHHccccccccccEEECccccccccccccccccHHHccccccHHHHHccccccccccccEEEEEEccccccccccHHHHHHHHHHHHHHHHHHHHHHHHcccEEEEEEcccEEEEEEEEEEEEc

*************************LPVMSLREKIVEKVLENRVTLIVGETGCGKSSQVPQFLLAENMEPILCTQPRRFAVVAVAKMVAKGRNCELGGEVGYHIGHSKHLSERSKIVFKTAGVLLDEMRDRGLNALKYKVIILDEVHERSVESDLVLVCVKQLLLKKNDLRVVLMSATADITKYRDYFRDLGRGERVEVLAIPSTNQRTIFQRRVSYLEQVTELLGVDHGMTSELSSLRYCSGPSPSMANAEIKPEVHKLIHDLVLHIHKNESDIEKSILVFLPTYYALEQQWHLMKPLSSFFKVHILHSSVDTEQALMAMKICKSHRKVILATNIAESSVTIPKVAYVIDSCRSLQVFWDVNRKIDSAELVWVSQSQAE****RTGRTCDGQVYRLVTKSFFGTLEDHECPAILRLSLRLQVLLICCAESKAISDPKVLLQKALDPPYPEVVGDALDLLDHKRALQKISPRGRYEPTFYGRLLASFSLSFDASVLVLKFGEIGMLREGILLGILMDTQPLPILHPFGDDALFAEYTGCYFGGDGNTRLLTGRKEMVIMGNLCAFQFWQHVFKDKQRLDHLQQVLKFDETKVTASLLPKIEEEWCSLHYLVQSSLHHVSELYEDILNAVHRFRPKFLGTSNGLPTYYDPYEFEHTCLLNCDPPRD*************SFEAKKCVAVPFVAPNQFQSNNVAEKLASIIKEIRVQYVEDV***********ETPGEAPLCVYFINGSCNRGTGCPFSHSLQAKRPACKFFYSLQGCRNGDSCIF**********************ANAASLLRLFPTSSDGSILLLDDTDMHFSANLACLYDPSRIISTTCLSDSAICDTSLAGIRILWGLCHSLKTVISEAGDNPIPWKEVKCVLWYPSLESYSENLESQKTLMQNFFEHLAIRMLADALYDTRVIITMNNIKFAQLQVIFVAVK

xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries

Annotation	Function Description	Confidence Level	Reference Protein
Zinc finger CCCH domain-containing protein 4		probable	Q1EHT7
Zinc finger CCCH domain-containing protein 31		probable	O22243

Prediction of Enzyme Commission Number

No confident prediction of EC number!

Spatial Structural Prediction

Structural Models Based on Templates

Template: 2XAU, chain A
Confidence level:very confident
Coverage over the Query: 23-220,244-546,558-574,598-714
View the alignment between query and template
View the model in PyMOL

Template: 2D9N, chain A
Confidence level:very confident
Coverage over the Query: 733-789
View the alignment between query and template
View the model in PyMOL

Template: 4F92, chain B
Confidence level:confident
Coverage over the Query: 18-219,243-528
View the alignment between query and template
View the model in PyMOL

Template: 2YKG, chain A
Confidence level:confident
Coverage over the Query: 27-307,328-369,390-426
View the alignment between query and template
View the model in PyMOL