Citrus Sinensis ID: 008254

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--
MVCTANDLSAWKDFPKGLRVLLLDQDSSAAAELKFKLEAMDYIVSTFYNENEALSAFSDKPENFHVAIVEVTTSNTDGSFKFLETAKDLPTIITSNIHCLSTMMKCIAIMVMNQLFDNNFQLGAVEFLRKPLSEDKLRNLWQHVVHKAFNAGGSALSDSLKPVKESVVSMLHLKLENGESKNEKSENTEYVLVPQQSDNEQSVPNDKYPAPSTPQLKQGGRLLDDIDCQDNTNFSTEKESAEQDGESKFVETTCGNSIAEGTLQEDKPQRPRETIVKEEHDPTNGSKTECNMLPLPYEKDNLKGSNCVIENPSKASGLQNSCGNKANRKKMKVDWTPELHKKFVQAVEQLGVDQAIPSRILELMKVEGLTRHNVASHLQKYRMHRRHILPKEDDRKWPHARDQMLRNYYPHKPIMAFPPYHSNHLVPTGPVYPVWGAPSNHLAAVQMWAPPGYPPWQQAESWNWKPYPGMPADAWGCPVMPLPNGPYSSFPQGASGYHNSGVDDNSYAMPQNSVDLHPAEEVIDKVVKEAISKPWLPLPLGLKPPSADSVLAELSRQGISTIPPRINGSHPC
ccccccccccccccccccEEEEEccccHHHHHHHHHHHHcccEEEEEccHHHHHHHHHcccccccEEEEEcccccccHHHHHHHHHccccEEEEcccccHHHHHHHHHHHHHHHHHHHHHcccccHHHcccccHHHHHHHHHHHHHHHHHccccccccccccccHHHHHHHHcccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccHHHHHHHHHHHHHcccccccHHHHHHHccccccHHHHHHHHHHHHHHHccccccccccccccHHHHHcccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccHHHHHHHHHHHHcccccccccccccccHHHHHHHHHHcccccccccccccccc
*****NDLSAWKDFPKGLRVLLLDQDSSAAAELKFKLEAMDYIVSTFYNENEALSAFSDKPENFHVAIVEVTTSNTDGSFKFLETAKDLPTIITSNIHCLSTMMKCIAIMVMNQLFDNNFQLGAVEFLRKPLSEDKLRNLWQHVVHKAFNAGGSALSDSLKPVKESVV*******************TEYVLVPQQ*********************QGGRLLDDIDCQDNTNF***************VETTCGNSIAEGTLQEDKPQRPRETIVKEEHDPTNGSKTE********EKDNLKGSNCVIENPSKASGLQNSCGNKANRKKMKVDWTPELHKKFVQAVEQLGVDQAIPSRILELMKVEGLTRHNVASHLQKYRMHRRHILP******************YPHKPIMAFPPYHSNHLVPTGPVYPVWGAPSNHLAAVQMWAPPGYPPWQQAESWNWKPYPGMPADAWGCPVMPL**************************************EVIDKVVKEAISKPWLPLPLGLKPPSADSVLAELSRQGIS************
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MVCTANDLSAWKDFPKGLRVLLLDQDSSAAAELKFKLEAMDYIVSTFYNENEALSAFSDKPENFHVAIVEVTTSNTDGSFKFLETAKDLPTIITSNIHCLSTMMKCIAIMVMNQLFDNNFQLGAVEFLRKPLSEDKLRNLWQHVVHKAFNAGGSALSDSLKPVKESVVSMLHLKLENGESKNEKSENTEYVLVPQQSDNEQSVPNDKYPAPSTPQLKQGGRLLDDIDCQDNTNFSTEKESAEQDGESKFVETTCGNSIAEGTLQEDKPQRPRETIVKEEHDPTNGSKTECNMLPLPYEKDNLKGSNCVIENPSKASGLQNSCGNKANRKKMKVDWTPELHKKFVQAVEQLGVDQAIPSRILELMKVEGLTRHNVASHLQKYRMHRRHILPKEDDRKWPHARDQMLRNYYPHKPIMAFPPYHSNHLVPTGPVYPVWGAPSNHLAAVQMWAPPGYPPWQQAESWNWKPYPGMPADAWGCPVMPLPNGPYSSFPQGASGYHNSGVDDNSYAMPQNSVDLHPAEEVIDKVVKEAISKPWLPLPLGLKPPSADSVLAELSRQGISTIPPRINGSHPC

Function Prediction

Annotation transfered from Closely Related SWISS-PROT Entries ?

Annotation ?Function Description ?Confidence Level ?Reference Protein ?
Two-component response regulator-like APRR2 Transcriptional activator that binds specifically to the DNA sequence 5'-[AG]GATT-3'.probableQ6LA43

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: 3JTE, chain A
Confidence level:very confident
Coverage over the Query: 17-108,122-151
View the alignment between query and template
View the model in PyMOL
Template: 1IRZ, chain A
Confidence level:very confident
Coverage over the Query: 327-388
View the alignment between query and template
View the model in PyMOL
Template: 1YIO, chain A
Confidence level:confident
Coverage over the Query: 16-108,122-190
View the alignment between query and template
View the model in PyMOL