QUERY : AFNQTEFNKLLLECVVKTQSSVAKILGIESLSPHVSGNSKFEYANMVEDIREKVSSEMERFFPKNDDE : QUERY
UniRef90_W8QGP1 : GFNQMAFNKALLEYVVKTQFSVNKVLGIECLSPHVKDDPRWQWKGMVQNIQEDVQEVMLRFFPDEDNE : UniRef90_W8QGP1
UniRef90_D4HQJ8 : GFNQMAFNRALLESMVKTQFTVNKVLGIECLSPHVHGNPRWEWSGLIENIRDDVNAVIEQFFPKVDD- : UniRef90_D4HQJ8
UniRef90_G8XCH1 : GFNQTEFNKILLENVMKTQFTVSKLLAIGSLSPHVTGDERFEFRSMVSNIREDAKDVISHFFPEQEEE : UniRef90_G8XCH1
UniRef90_V1WGC2 : AFNQTEFNKILLENVLKTQSSVAKILGIGSLSPHVAGNPKFEYANMVEDIKDKVITEMERFFPYDDNK : UniRef90_V1WGC2
UniRef90_W8V311 : GFNQMAFNKALFEYVVKTQFTMNKVMGMECLSPHVKEDPKWQWKSMVHNIQEDVREVMRAYFPEEAED : UniRef90_W8V311
UniRef90_Z5CRP7 : GFNQAEFNKMLLENVIKTQFSISKVLAMESLSPHIQGDERFDFKSMVMNIRDDAKEVVERFFPDTDDE : UniRef90_Z5CRP7
UniRef90_S4VC15 : GFNQMAFNKVLLETVLKTQFATNKILGISCLSPHISGNQKFEWRFMIDTILEDTKEVVDTFFPESED- : UniRef90_S4VC15
UniRef90_W7NTY1 : GFNQALFNKTILENILKTQLTTSKLLGMTSLSPHLEGNEKFAFKEMVTSIREDVEEIVSQFFPKEDDD : UniRef90_W7NTY1
UniRef90_UPI0004666D41 : SFNQMEFNKVLLENVLKTQFGICKVMGMESLSPYVQGKEKFVYSNMRSDILEDVRQVIEKFFPSEHND : UniRef90_UPI0004666D41
UniRef90_UPI000464F043 : GFNQMAFNRAILGSVMKTQFATNKILGISSQSPHVAGNPKFEWRYMIESILADTHQVVQLFFPESEE- : UniRef90_UPI000464F043
UniRef90_R9QHL2 : SFNQALYNKTILENVMKTQFIVSKLLAMESLSPHLAGNEKFDFRDMVTCIREDVQQIVEKFFPQEEE- : UniRef90_R9QHL2
UniRef90_P33788 : GFNQMEYNKLMLENVSRVRAMCTEILKMSVLNQESIASGNFDYAVIKPAIDKFAREQVSIFFPDDEDD : UniRef90_P33788
UniRef90_E0WR85 : -FNQTEFNKVILENVVKTSFICQKLLGINSFMSEIQDNEKLDYKLMAYAVRNDTAEVINEFFPKNEE- : UniRef90_E0WR85
UniRef90_D2U4P1 : -FDEYHYRKLMLENTLKINKAVSKILGMQSFAPYLEGKENFEYQKMVNEIREKTKEEIKKLFPEE--- : UniRef90_D2U4P1
UniRef90_D2U4M8 : SFNQEAFNKVVLESLIKTKKAVSLILGMQSFSPYLEGKENYEYHKMVNEIRDAAKEEIKKFFPDD--- : UniRef90_D2U4M8
UniRef90_T2HS63 : GFNQMEYNKIMLDNIARVRAMCSEIMKMNALSHEVISNGNFDNEVMKRSITKFAEDQVRIFFPEEEMD : UniRef90_T2HS63
UniRef90_D4EA62 : -FNQTEFNKVILENVLKTQLAMARVLGASTLAPYVADKPKLNYQQIISEIKESVNDELGRFF------ : UniRef90_D4EA62
UniRef90_W8UCC4 : GFNQMEYNRLMLDHMTRVRAMCTEIMKMGALSQESIASGNFELEVIKKAVARYAEEQTSIFFPDEEDE : UniRef90_W8UCC4
UniRef90_Q2VP28 : GFNQMEYNKLMLDNISRVRFMCSEIMNMSMLNQESVASGYFTIEKIKPAMEKFVNEQVGIFFHDDEE- : UniRef90_Q2VP28
UniRef90_V5EEJ3 : -------------------------MGIESLSPHVSGNPKFEYANMVEDIREKVSSEMERFFPKNDDE : UniRef90_V5EEJ3
UniRef90_T7G4L0 : AFNQAEFNKVLLECAVKTQSTVAKILGKVRISGEI--------------------------------- : UniRef90_T7G4L0
: 1---------11--------21--------31--------41--------51--------61------ :
OrigSeq : AFNQTEFNKLLLECVVKTQSSVAKILGIESLSPHVSGNSKFEYANMVEDIREKVSSEMERFFPKNDDE : OrigSeq
Jnet : ---HHHHHHHHHHHHHHHHHHHHHHHHHH------------HHHHHHHHHHHHHHHHHHH-------- : Jnet
jhmm : ---HHHHHHHHHHHHHHHHHHHHHHHHHHH-----------HHHHHHHHHHHHHHHHHHH-------- : jhmm
jpssm : ---HHHHHHHHHHHHHHHHHHHHHHHHHH-------------HHHHHHHHHHHHHHHHHH-------- : jpssm
Lupas 14 : -------------------------------------------------------------------- : Lupas 14
Lupas 21 : -------------------------------------------------------------------- : Lupas 21
Lupas 28 : -------------------------------------------------------------------- : Lupas 28
Jnet_25 : -B---BBBBBBB-BBB-B-BBBBBBBBB-BBB-BB-----B-B--BB--B---B---B--BB------ : Jnet_25
Jnet_5 : ------B---BB-----B---B--B-----B------------------B---B---B---------- : Jnet_5
Jnet_0 : ----------B--------------------------------------------------------- : Jnet_0
Jnet Rel : 99579999999999999999999999875155333567764345389999999999986126788899 : Jnet Rel
Notes
Key:
Colour code for alignment:
Blue - Complete identity at a position
Shades of red - The more red a position is, the higher the level of
conservation of chemical properties of the amino acids
Jnet - Final secondary structure prediction for query
jalign - Jnet alignment prediction
jhmm - Jnet hmm profile prediction
jpssm - Jnet PSIBLAST pssm profile prediction
Lupas - Lupas Coil prediction (window size of 14, 21 and 28)
Note on coiled coil predictions - = less than 50% probability
c = between 50% and 90% probability
C = greater than 90% probability
Jnet_25 - Jnet prediction of burial, less than 25% solvent accesibility
Jnet_5 - Jnet prediction of burial, less than 5% exposure
Jnet_0 - Jnet prediction of burial, 0% exposure
Jnet Rel - Jnet reliability of prediction accuracy, ranges from 0 to 9, bigger is better.