Citrus Sinensis ID: 004379

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-------76
MPTYKIRGIDVEFPFEAYDCQLVYMEKVIQSLQNKCNALLESPTGTGKTLCLLCATLAWRKSLGSFSTLGSQVNNQISGSQSSVNSSQSGDSKLPTILYTSRTHSQLRQVIQELKTSNYRPKMVILGSREQLCIHREVSLLRGSAQNNACRFLCKKGTNRRCNHHSRVADYMKNNPHLGDEPIDIEDLVNIGRTFGPCPYFMTRELQKTVDIVFAPYNYLIDPWFRKGLGVEWKNSILIFDEAHNLEGICADAASFDLSSGLLTACISEAKNCIDISSTRRGQSSDETLNPDNFAILRALLLKLEKRIAEVPINSKELGFTKPGPYIYELLADLNITQETAYKLIDIVEVAAELLQEDKLQNKKSTTACRIESISNILKIIFRDKGTAHSAYYRVHVREADANAADVLKGKASRTLSWWCFNPGIAMQEFSRLEVGSIILTSGTLSPMDSFAQELKLNFPLRVENPHVITSKQIWAGIVPVGPSGYLLNSSYRNRDSIEYKQELGNTIVNIARIVPDGLLIFFPSYYLMDQCIACWKNTSHGNLTTIWERICKHKKPVVEPRQSSLFPLAIEDYMAKLKDTSTSGAVFFAVCRGKVSEGLDFADHAGRAVVITGMPFATMTDPKVRLKREYLDLQAQSQGGEYKETKLSFLSGEDWYNQQASRAVNQAVGRVIRHRHDYGAIIFCDERFAHPSRKSQISLWIQPHIQCYSKFGDVVYTLTRFFREERICGSTNLKLIKTEVSGKVYFGAIILSVSWFF
cccEEEccEEEcccccccHHHHHHHHHHHHHHHcccccEEcccccccccHHHHHHHHHHHHcccccccccccccccccccccccccccccccccccEEEccccHHHHHHHHHHHHHccccccEEEEcccccccccHHHHHcccccHHHHHHHHHcccccccccccccHHHHcccccccccccccHHHHHHHccccccccHHHcccccccccEEEEcccccccHHHHHHcccccccCEEEEEccccHHHHHHHHccccccHHHHHHHHHHHHHHHHHHHHHcccccccccccHHHHHHHHHHHHHHHHHHHcccccccccccccHHHHHHHHHHccccHHHHHHHHHHHHHHHHHHHHHHHHcccccHHHHHHHHHHHHHHHHHccccccccEEEEEEEEccccccccccccccCEEEEEEcccHHHHHHHHHccccEEEEEcccccccHHHHHHHcccccEEECcccccccccEEEEEEEccccccEEEEECcccccHHHHHHHHHHHHHHHHHccccEEEECccHHHHHHHHHHHHHccccccHHHHHHHHcccccEEcccccccHHHHHHHHHHHHcccccccEEEEEEEccccccccccccccccEEEEEcccccccccHHHHHHHHHHHHHHcccccccccccccccccHHHHHHHHHHHHHHHccccccccccCEEEEEECcccccccccccccHHHHccccccccHHHHHHHHHHHHHHHcccccccccccccccccccccccEEccccccc
*PTYKIRGIDVEFPFEAYDCQLVYMEKVIQSLQNKCNALLESPTGTGKTLCLLCATLAWRKSLGSFSTLGSQVNN****************SKLPTILYTSRTHSQLRQVIQELKTSNYRPKMVILGSREQLCIHREVSLLRGSAQNNACRFLCKKGTNRRCNHHSRVADYMKNNPHLGDEPIDIEDLVNIGRTFGPCPYFMTRELQKTVDIVFAPYNYLIDPWFRKGLGVEWKNSILIFDEAHNLEGICADAASFDLSSGLLTACISEAKNCIDI************LNPDNFAILRALLLKLEKRIAEVPINSKELGFTKPGPYIYELLADLNITQETAYKLIDIVEVAAELLQEDKLQNKKSTTACRIESISNILKIIFRDKGTAHSAYYRVHVREADANAADVLKGKASRTLSWWCFNPGIAMQEFSRLEVGSIILTSGTLSPMDSFAQELKLNFPLRVENPHVITSKQIWAGIVPVGPSGYLLNSSYRNRDSIEYKQELGNTIVNIARIVPDGLLIFFPSYYLMDQCIACWKNTSHGNLTTIWERICKHKKPVVEPRQSSLFPLAIEDYMAKLKDTSTSGAVFFAVCRGKVSEGLDFADHAGRAVVITGMPFATMTDPKVRLKREYLDLQAQS****YKETKLSFLSGEDWYNQQASRAVNQAVGRVIRHRHDYGAIIFCDERFAHPSRKSQISLWIQPHIQCYSKFGDVVYTLTRFFREERICGST***LIKTEVSGKVYFGAIILSVSWFF
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MPTYKIRGIDVEFPFEAYDCQLVYMEKVIQSLQNKCNALLESPTGTGKTLCLLCATLAWRKSLGSFSTLGSQVNNQISGSQSSVNSSQSGDSKLPTILYTSRTHSQLRQVIQELKTSNYRPKMVILGSREQLCIHREVSLLRGSAQNNACRFLCKKGTNRRCNHHSRVADYMKNNPHLGDEPIDIEDLVNIGRTFGPCPYFMTRELQKTVDIVFAPYNYLIDPWFRKGLGVEWKNSILIFDEAHNLEGICADAASFDLSSGLLTACISEAKNCIDISSTRRGQSSDETLNPDNFAILRALLLKLEKRIAEVPINSKELGFTKPGPYIYELLADLNITQETAYKLIDIVEVAAELLQEDKLQNKKSTTACRIESISNILKIIFRDKGTAHSAYYRVHVREADANAADVLKGKASRTLSWWCFNPGIAMQEFSRLEVGSIILTSGTLSPMDSFAQELKLNFPLRVENPHVITSKQIWAGIVPVGPSGYLLNSSYRNRDSIEYKQELGNTIVNIARIVPDGLLIFFPSYYLMDQCIACWKNTSHGNLTTIWERICKHKKPVVEPRQSSLFPLAIEDYMAKLKDTSTSGAVFFAVCRGKVSEGLDFADHAGRAVVITGMPFATMTDPKVRLKREYLDLQAQSQGGEYKETKLSFLSGEDWYNQQASRAVNQAVGRVIRHRHDYGAIIFCDERFAHPSRKSQISLWIQPHIQCYSKFGDVVYTLTRFFREERICGSTNLKLIKTEVSGKVYFGAIILSVSWFF

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

No confident close homologs for annotation transfering were detected in SWISSPROT

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
3.6.4.12DNA helicase.probable

Spatial Structural Prediction

Structural Models Based on Templates

Template: 3CRV, chain A
Confidence level:very confident
Coverage over the Query: 14-64,95-275,298-325,336-398,411-536,554-641,655-696
View the alignment between query and template
View the model in PyMOL
Template: 4A15, chain A
Confidence level:very confident
Coverage over the Query: 18-64,95-399,411-541,554-641,654-728
View the alignment between query and template
View the model in PyMOL
Template: 2VSF, chain A
Confidence level:confident
Coverage over the Query: 36-59,89-386,401-478,489-531,547-688
View the alignment between query and template
View the model in PyMOL