Citrus Sinensis ID: 012013

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---
MSRYDSRSADPSSYRDRRSDSGFGGASSYGSSVRTSSSKRDYDGAESPRKLDLDGLTPFEKNFYVESPSVAAMSEREVEEYRQQREITVEGRDVPKPVKSFRDVGFPDYVMQEISKAGFFEPTPIQAQGWPMALKGRDLIGIAETGSGKTLAYLLPAIVHVNAQPFLAPGDGPIVLVLAPTRELAVQIQQESTKFGASSKIKSTCIYGGVPKGPQVRDLQKGVEIVIATPGRLIDMLESHNTNLRRVTYLVLDEADRMLDMGFEPQIKKILSQVIIGSPDLKANHAIRQHVDIVSESQKYNKLVKLLEDIMDGSRILIFMDTKKGCDQITRQLRMDGWPALSIHGDKSQAERDWVLSEFKAGKSPIMTATDVAARGLDVKDVKYVINYDFPGSLEDYVHRIGRTGRAGAKGTAYTFFTAANARFAKELITILEEAGQKVSPELAAMGRGAPPSSGHGGFRDRGRGYGGGRHWT
cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccHHHHcccHHHHHHHHHHcccEEEcccccccccccccccccHHHHHHHHHccccccccHHHHHHHHHcccccEEEEEcccccHHHHHHHHHHHHHHcccccccccccEEEEEcccHHHHHHHHHHHHHHHcccccCEEEEEcccccHHHHHHHHccccEEEEcccHHHHHHHccccccccccEEEccccccccccccHHHHHHHHHccEECccCCcccccEEEEEEEccccHHHHHHHHHHHHHcccccEEEEEcccccHHHHHHHHHHccccEEEcccccccHHHHHHHHHHHcccccEEEEEEccccccccccccEEEccccccccccccccccccccccccCEEEEEEccccHHHHHHHHHHHHHccccccHHHHHHHHccccccccccccccccccccccccc
****************************************************LDGLTPFEKNFYVESPSVA*MSEREVEEYRQQREITVEGRDVPKPVKSFRDVGFPDYVMQEISKAGFFEPTPIQAQGWPMALKGRDLIGIAETGSGKTLAYLLPAIVHVNAQPFLAPGDGPIVLVLAPTRELAVQIQQESTKFGASSKIKSTCIYGGVPKGPQVRDLQKGVEIVIATPGRLIDMLESHNTNLRRVTYLVLDEADRMLDMGFEPQIKKILSQVIIGSPDLKANHAIRQHVDIVSESQKYNKLVKLLEDIMDGSRILIFMDTKKGCDQITRQLRMDGWPALSIHGDKSQAERDWVLSEFKAGKSPIMTATDVAARGLDVKDVKYVINYDFPGSLEDYVHRIGRTGRAGAKGTAYTFFTAANARFAKELITILEEAGQKVSPELA*****************************
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MSRYDSRSADPSSYRDRRSDSGFGGASSYGSSVRTSSSKRDYDGAESPRKLDLDGLTPFEKNFYVESPSVAAMSEREVEEYRQQREITVEGRDVPKPVKSFRDVGFPDYVMQEISKAGFFEPTPIQAQGWPMALKGRDLIGIAETGSGKTLAYLLPAIVHVNAQPFLAPGDGPIVLVLAPTRELAVQIQQESTKFGASSKIKSTCIYGGVPKGPQVRDLQKGVEIVIATPGRLIDMLESHNTNLRRVTYLVLDEADRMLDMGFEPQIKKILSQVIIGSPDLKANHAIRQHVDIVSESQKYNKLVKLLEDIMDGSRILIFMDTKKGCDQITRQLRMDGWPALSIHGDKSQAERDWVLSEFKAGKSPIMTATDVAARGLDVKDVKYVINYDFPGSLEDYVHRIGRTGRAGAKGTAYTFFTAANARFAKELITILEEAGQKVSPELAAMGRGAPPSSGHGGFRDRGRGYGGGRHWT

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
DEAD-box ATP-dependent RNA helicase 20 ATP-dependent RNA helicase involved nonsense-mediated mRNA decay and ribosome biogenesis through rRNA processing.confidentQ9C718
DEAD-box ATP-dependent RNA helicase 20 ATP-dependent RNA helicase involved nonsense-mediated mRNA decay and ribosome biogenesis through rRNA processing.confidentQ5QMN3
ATP-dependent RNA helicase dbp2 ATP-dependent RNA helicase involved nonsense-mediated mRNA decay and ribosome biogenesis through rRNA processing.probableP24782

Prediction of Enzyme Commission Number ?

EC Number ?Description ?Confidence Level ?
3.-.-.-Hydrolases.probable
3.6.-.-Acting on acid anhydrides.probable
3.6.4.-Acting on acid anhydrides; involved in cellular and subcellular movement.probable
3.6.4.13RNA helicase.probable

Spatial Structural Prediction

Structural Models Based on Templates

Template: 3FE2, chain A
Confidence level:very confident
Coverage over the Query: 76-274
View the alignment between query and template
View the model in PyMOL
Template: 2I4I, chain A
Confidence level:very confident
Coverage over the Query: 86-450
View the alignment between query and template
View the model in PyMOL
Template: 1TF5, chain A
Confidence level:confident
Coverage over the Query: 51-422
View the alignment between query and template
View the model in PyMOL