Citrus Sinensis ID: 011465

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-----
MPNMETENSSVSRAEELKALANEAFRAKKYSQAIDLYSQAIELNSQNAVYYANRAFAHTKLEEYGSAIQDASKAIEIDPRYPKGYYRRGAAYLAMGKFKEALKDFQQVKKLSPNDPDAAQKVKECEKAVKKLKFEEAIAVPESERHSVADSIDYQSIEVEPQYSGARIEGDVITLDFVKKMMDDFKNQKCLHKRYAFQIVLQTREMLRALPSLVDIDIPDGKHFTVCGDVHGQFYDLLNIFELNGLPSEENPYLFNGDFVDRGSFSVEVILTLFAFKCMCPSAIYLSRGNHESKSMNKIYGFEGEVRSKLSETFVELFAEVFCCLPLAHVLNQKVFVVHGGLFSVDGVKLSDIKTIDRFCEPPEEGLMCELLWSDPQPLPGRGPSKRGVGLSFGADVTKRFLQDNSLDLVVRSHEVKDEGYEIEHDGKLITVFSAPNYCDQMGNKGAFIRFEAPTLKPNIVTFAAVPHPDVKPMAYANNFLRMFQ
ccccccccccHHHHHHHHHHHHHHHHHccHHHHHHHHHHHHHHcccccHHHHHHHHHHHHHHHHHHHHHHHHHHHHccccccHHHHHHHHHHHHHccHHHHHHHHHHHHHHccccHHHHHHHHHHHHHHHHHHHccccccccccccccccccccccccccccccccccccccccHHHHHHHHHHHcccccccHHHHHHHHHHHHHHHHHcccEEEEcccccccEEEEcccccHHHHHHHHHHHccccccccccEEccccccccccHHHHHHHHHHHHHcccccEEEcccccccccccccccHHHHHHHHccHHHHHHHHHHccccHHHHHHcccEEEEEccccccccccHHHHHccccccccccccccccccccccccccccccccccccccccHHHHHHHHHHccccEEEEccccccccEEEEcccCEEEEEccccccccccccEEEEEEEcccccccEEEEEccccccccccccccHHHHccc
*****************KALANEAFRAKKYSQAIDLYSQAIELNSQNAVYYANRAFAHTKLEEYGSAIQDASKAIEIDPRYPKGYYRRGAAYLAMGKFKEALKDFQQVKKLSPN*************************************IDYQSIEVEPQYSGARIEGDVITLDFVKKMMDDFKNQKCLHKRYAFQIVLQTREMLRALPSLVDIDIPDGKHFTVCGDVHGQFYDLLNIFELNGLPSEENPYLFNGDFVDRGSFSVEVILTLFAFKCMCPSAIYLSRGNHESKSMNKIYGFEGEVRSKLSETFVELFAEVFCCLPLAHVLNQKVFVVHGGLFSVDGVKLSDIKTIDRFCEPPEEGLMCELLWSDPQPLPGRGPSKRGVGLSFGADVTKRFLQDNSLDLVVRSHEVKDEGYEIEHDGKLITVFSAPNYCDQMGNKGAFIRFEAPTLKPNIVTFAAVPHPDVKPMAYANNFLRMFQ
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MPNMETENSSVSRAEELKALANEAFRAKKYSQAIDLYSQAIELNSQNAVYYANRAFAHTKLEEYGSAIQDASKAIEIDPRYPKGYYRRGAAYLAMGKFKEALKDFQQVKKLSPNDPDAAQKVKECEKAVKKLKFEEAIAVPESERHSVADSIDYQSIEVEPQYSGARIEGDVITLDFVKKMMDDFKNQKCLHKRYAFQIVLQTREMLRALPSLVDIDIPDGKHFTVCGDVHGQFYDLLNIFELNGLPSEENPYLFNGDFVDRGSFSVEVILTLFAFKCMCPSAIYLSRGNHESKSMNKIYGFEGEVRSKLSETFVELFAEVFCCLPLAHVLNQKVFVVHGGLFSVDGVKLSDIKTIDRFCEPPEEGLMCELLWSDPQPLPGRGPSKRGVGLSFGADVTKRFLQDNSLDLVVRSHEVKDEGYEIEHDGKLITVFSAPNYCDQMGNKGAFIRFEAPTLKPNIVTFAAVPHPDVKPMAYANNFLRMFQ

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
Serine/threonine-protein phosphatase T Protein phosphatase that specifically binds to and dephosphorylates the molecular chaperone Hsp90. Dephosphorylation positively regulates the Hsp90 chaperone machinery.probableO43049
Serine/threonine-protein phosphatase 5 May play a role in the regulation of RNA biogenesis and/or mitosis.probableQ60676
Serine/threonine-protein phosphatase 5 May play a role in the regulation of RNA biogenesis and/or mitosis.probableP53042

Prediction of Enzyme Commission Number ?

EC Number ?Description ?Confidence Level ?
3.-.-.-Hydrolases.probable
3.1.-.-Acting on ester bonds.probable
3.1.3.-Phosphoric monoester hydrolases.probable
3.1.3.16Phosphoprotein phosphatase.probable

Spatial Structural Prediction

Structural Models Based on Templates

Template: 2XPI, chain A
Confidence level:very confident
Coverage over the Query: 11-142
View the alignment between query and template
View the model in PyMOL
Template: 2Y4T, chain A
Confidence level:very confident
Coverage over the Query: 11-162
View the alignment between query and template
View the model in PyMOL
Template: 1WAO, chain 1
Confidence level:very confident
Coverage over the Query: 10-481
View the alignment between query and template
View the model in PyMOL