Citrus Sinensis ID: 003316

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-
MVKFTAEELRRIMDFKHNIRNMSVIAHVDHGKSTLTDSLVAAAGIIAQEVAGDVRMTDTRQDEAERGITIKSTGISLYYEMTDAALKSYRGERQGNEYLINLIDSPGHVDFSSEVTAALRITDGALVVVDCIEALGERIRPVLTVNKMDRCFLELQVDGEEAYQTFQKVIENANVIMATYEDPLLGDVQVYPEKGTVAFSAGLHGWAFTLTNFAKMYASKFGVDESKMMERLWGENFFDPATRKWTSRNTGSPTCKRGFVQFCYEPIKQIINICMNDEKDKLWPMLQKLGVTMKSEEKELMGKALMKRVMQTWLPASSALLEMMIFHLPSPATAQKYRVENLYEGPLDDAYANAIRNCDPEGPLMLYVSKMIPASDKGRFFAFGRVFSGKVATGLKVRIMGPNYVPGEKKDLYVKSVQRTVIWMGKKQETVEDVPCGNTVAMVGLDQYITKNATLTNEKEVDAHPIRAMKFSVSPVVRVAVQCKVASDLPKLVEGLKRLAKSDPMVVCSMEESGEHIIAGAGELHLEICLKDLQDDFMGGAEIIKSDPVVSFRETVLEKSCRTVMSKSPNKHNRLYMEARPLEEGLAEAIDDGRIGPRDDPKVRSKILSEEFGWDKDLAKKIWCFGPETIGPNMVVDMCKGVQYLNEIKDSVVAGFQWASKEGALAEENMRGICFEVCDVVLHADAIHRGGGQVIPTARRVIYASQLTAKPRLLEPVYLVEIQAPEQALGGIYSVLNQKRGHVFEEMQRPGTPLYNIKAYLPVVESFGFSSTLRAATSGQAFPQCVFDHWDMMSSDPLEPGSQASQLVLDIRKRKGLKEQMTPLSEYEDKL
cccccHHHHHHHHcccccCEEEEEECcccccHHHHHHHHHHHccccccccccccccccccHHHHHccccHHHcEEEcEEEEcHHHHcccccccccccEEEEcccccccccccHHHHHHHHHcccEEEEEEEEEEEcccccCEEEEEcHHHHHHHccccHHHHHHHHHHHHHHHHHHHHHccccccccEEECcccccEEEEcccccccccHHHHHHHHHHHccccHHHHHHHHccccCCcccccCEECcccccccccccEEEEEcHHHHHHHHHHHccccccHHHHHHHccccccHHHHHHccHHHHHHHHHHHcccHHHHHHHHHHccccHHHHHHHHHHHcccccccHHHHHHHHHccccccEEEEEccCECccccccEEEEEEEEEcccccccEEEEEccccccccccccEEEEEEEEEEEcccCEEECcccccccEEEEccccccccccCEECcccccccccccccccccccEEEEEEEEcccccHHHHHHHHHHHHcccccEEEEEcccccEEEEccccHHHHHHHHHHHHHHcccccEEEcccEEEEEEEcccccccEEEccccccccEEEEEEccccHHHHHHHHcccccccccHHHHHHHHHHHccccHHccccEEECcccccccCEEEEcccccccHHHHHHHHHHHHHHHHHccccccccccccEEEEEEEEEccccccccccccccHHHHHHHHHHHcccccCCccEEEEEEEccccHHHHHHHHcccccCEEEEEEECccccEEEEEEEccccccccccHHHHHHcccccCEEEEEccEEEccccccccccHHHHHHHHHHHcccccccccccccccccc
*VKFTAEELRRIMDFKHNIRNMSVIAHVDHGKSTLTDSLVAAAGIIAQEVAGDVRMTDTRQDEAERGITIKSTGISLYYEMTDAALKSYRGERQGNEYLINLIDSPGHVDFSSEVTAALRITDGALVVVDCIEALGERIRPVLTVNKMDRCFLELQVDGEEAYQTFQKVIENANVIMATYEDPLLGDVQVYPEKGTVAFSAGLHGWAFTLTNFAKMYASKFGVDESKMMERLWGENFFDPATRKWTSRNTGSPTCKRGFVQFCYEPIKQIINICMNDEKDKLWPMLQKLGVTMKSE**ELMGKALMKRVMQTWLPASSALLEMMIFHLPSPATAQKYRVENLYEGPLDDAYANAIRNCDPEGPLMLYVSKMIPASDKGRFFAFGRVFSGKVATGLKVRIMGPNYVPGEKKDLYVKSVQRTVIWMGKKQETVEDVPCGNTVAMVGLDQYITKNATLTNEKEVDAHPIRAMKFSVSPVVRVAVQCKVASDLPKLVEGLKRLAKSDPMVVCSMEESGEHIIAGAGELHLEICLKDLQDDFMGGAEIIKSDPVVSFRETVLEKSCRTVMSKSPNKHNRLYMEARPLEEGLAEAIDDGRI*****PKVRSKILSEEFGWDKDLAKKIWCFGPETIGPNMVVDMCKGVQYLNEIKDSVVAGFQWASKEGALAEENMRGICFEVCDVVLHADAIHRGGGQVIPTARRVIYASQLTAKPRLLEPVYLVEIQAPEQALGGIYSVLNQKRGHVFEEMQRPGTPLYNIKAYLPVVESFGFSSTLRAATSGQAFPQCVFDHWDMMSSDPLEPGSQASQLVLDIRKRKGLKEQMTPLSEYEDKL
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MVKFTAEELRRIMDFKHNIRNMSVIAHVDHGKSTLTDSLVAAAGIIAQEVAGDVRMTDTRQDEAERGITIKSTGISLYYEMTDAALKSYRGERQGNEYLINLIDSPGHVDFSSEVTAALRITDGALVVVDCIEALGERIRPVLTVNKMDRCFLELQVDGEEAYQTFQKVIENANVIMATYEDPLLGDVQVYPEKGTVAFSAGLHGWAFTLTNFAKMYASKFGVDESKMMERLWGENFFDPATRKWTSRNTGSPTCKRGFVQFCYEPIKQIINICMNDEKDKLWPMLQKLGVTMKSEEKELMGKALMKRVMQTWLPASSALLEMMIFHLPSPATAQKYRVENLYEGPLDDAYANAIRNCDPEGPLMLYVSKMIPASDKGRFFAFGRVFSGKVATGLKVRIMGPNYVPGEKKDLYVKSVQRTVIWMGKKQETVEDVPCGNTVAMVGLDQYITKNATLTNEKEVDAHPIRAMKFSVSPVVRVAVQCKVASDLPKLVEGLKRLAKSDPMVVCSMEESGEHIIAGAGELHLEICLKDLQDDFMGGAEIIKSDPVVSFRETVLEKSCRTVMSKSPNKHNRLYMEARPLEEGLAEAIDDGRIGPRDDPKVRSKILSEEFGWDKDLAKKIWCFGPETIGPNMVVDMCKGVQYLNEIKDSVVAGFQWASKEGALAEENMRGICFEVCDVVLHADAIHRGGGQVIPTARRVIYASQLTAKPRLLEPVYLVEIQAPEQALGGIYSVLNQKRGHVFEEMQRPGTPLYNIKAYLPVVESFGFSSTLRAATSGQAFPQCVFDHWDMMSSDPLEPGSQASQLVLDIRKRKGLKEQMTPLSEYEDKL

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
Elongation factor 2 Catalyzes the GTP-dependent ribosomal translocation step during translation elongation. During this step, the ribosome changes from the pre-translocational (PRE) to the post-translocational (POST) state as the newly formed A-site-bound peptidyl-tRNA and P-site-bound deacylated tRNA move to the P and E sites, respectively. Catalyzes the coordinated movement of the two tRNA molecules, the mRNA and conformational changes in the ribosome.confidentO23755
Elongation factor 2 Catalyzes the GTP-dependent ribosomal translocation step during translation elongation. During this step, the ribosome changes from the pre-translocational (PRE) to the post-translocational (POST) state as the newly formed A-site-bound peptidyl-tRNA and P-site-bound deacylated tRNA move to the P and E sites, respectively. Catalyzes the coordinated movement of the two tRNA molecules, the mRNA and conformational changes in the ribosome.probableP09445
Elongation factor 2 Catalyzes the GTP-dependent ribosomal translocation step during translation elongation. During this step, the ribosome changes from the pre-translocational (PRE) to the post-translocational (POST) state as the newly formed A-site-bound peptidyl-tRNA and P-site-bound deacylated tRNA move to the P and E sites, respectively. Catalyzes the coordinated movement of the two tRNA molecules, the mRNA and conformational changes in the ribosome.probableQ874B9

Prediction of Enzyme Commission Number ?

No EC number assigned to the protein, probably not an enzyme!

Spatial Structural Prediction

Structural Models Based on Templates

Template: 2RDO, chain 7
Confidence level:very confident
Coverage over the Query: 15-49,71-179,191-206,223-593,628-810
View the alignment between query and template
View the model in PyMOL
Template: 2XEX, chain A
Confidence level:very confident
Coverage over the Query: 16-52,79-80,97-179,191-208,225-574,591-595,610-811
View the alignment between query and template
View the model in PyMOL
Template: 1N0U, chain A
Confidence level:very confident
Coverage over the Query: 3-48,67-831
View the alignment between query and template
View the model in PyMOL