QUERY                  : SLSCRKEQGKFYDHLLRDCISCASICGQHPKQCAYFCE : QUERY 
UniRef90_UPI000333C373 : SLRCHQDPGRYYDHLLNDCVSCASTCGQHPQQCAPFCE : UniRef90_UPI000333C373
UniRef90_UPI00046B0D7E : --SCRKEQGKYYDHLLRKCVSCASVCGQHPMQCTYFCE : UniRef90_UPI00046B0D7E
UniRef90_UPI0001CE21C8 : SLSCHKEPGRYYDPLLRDCVSCVSVCGQHPKPCAHFCD : UniRef90_UPI0001CE21C8
UniRef90_F1MU29        : SLSCRQEQGRYYDLLLRDCVSCASICGRHPKQCTHYCE : UniRef90_F1MU29
UniRef90_G3U256        : SLSCHKEPGSYYDHLLNTCISCATICGQHPKQCAHFCE : UniRef90_G3U256
UniRef90_UPI000328AB33 : SLSCRKEQGRYYDQLLNDCISCISICGQHPRQCAYVCE : UniRef90_UPI000328AB33
UniRef90_UPI0003345ECD : ALSCHKEQGQYYDQLLRDCISCASICGHHPTQCKHFCE : UniRef90_UPI0003345ECD
UniRef90_UPI00038C4CF8 : SLSCLKEQGKYYDRLLKDCVSCTPICGQHPKPCEYFCE : UniRef90_UPI00038C4CF8
UniRef90_UPI0003F0BA69 : SLSCRKEPDKYYDLLLSDCVSCTSICGQHPRQCADFCE : UniRef90_UPI0003F0BA69
UniRef90_G3VI45        : SLRCSKERGSYYDHLVKECISCYSICGQHPKQCAHICQ : UniRef90_G3VI45
UniRef90_UPI00044210B9 : SLECSKQEGSYYDKLLRECIKCSTICGQHPRECMPFC- : UniRef90_UPI00044210B9
UniRef90_UPI0003870E7D : SMDCNRKAGFYYDKLLNNCINCTMVCGQHPKQCAPSCE : UniRef90_UPI0003870E7D
UniRef90_UPI00046C3D77 : SMECSKRPGFYYDELLRRCISCSGVCGQHPSQCLQFCE : UniRef90_UPI00046C3D77
UniRef90_UPI00038C13BF : -LSCRREHGKYYDHLLGVCMSCNSTCTQHPLQCAHFCE : UniRef90_UPI00038C13BF
UniRef90_UPI00046B9B88 : SLSCREEQGQYYDQLLRGCVSCAPICGHHPAPCGLFCE : UniRef90_UPI00046B9B88
UniRef90_UPI0003957D5C : SMDCNKRPGFYYDDLVKNCIRCSSVCGQHPRECAPSCE : UniRef90_UPI0003957D5C
UniRef90_F7G8W4        : SLKCHRQQGVYYDTLLRQCIKCSATCGQHPLQCAPFCQ : UniRef90_F7G8W4
UniRef90_H9G551        : SMDCSKRVGFYYDKLLRDCIDCSGVCGQHPKECDPSCQ : UniRef90_H9G551
UniRef90_UPI0003D087D6 : SMECSERAGSYYDALLRKCISCFDICGRHPIQCISFCE : UniRef90_UPI0003D087D6
UniRef90_UPI000393ED6E : AVNCKTQPGHYYDKLLNKCIKCKEICGTHPPECASHCQ : UniRef90_UPI000393ED6E
UniRef90_UPI0003C456C2 : SMECSKQVGFYYDKLLTSCINCLDICGQHPSQCLPFCE : UniRef90_UPI0003C456C2
UniRef90_UPI000443C244 : ---CRAKPGHYYDRLVRRCMKCADICGKHPAECSPHC- : UniRef90_UPI000443C244
UniRef90_A4Q912        : SAVCNRRAGFYYDELVKKCISCSTVCGQHPKQCDAAC- : UniRef90_A4Q912
UniRef90_UPI0004573E02 : --RCKDASQSYWDKLLRKCVKCSDVCGQHPQQCSNICQ : UniRef90_UPI0004573E02
UniRef90_W5M1M7        : TLKCEATPGTYYDELIKNCMSCSEVCGGPAPQCPETC- : UniRef90_W5M1M7

                       : 1---------11--------21--------31------ :
OrigSeq                : SLSCRKEQGKFYDHLLRDCISCASICGQHPKQCAYFCE : OrigSeq

Jnet                   : ----------HHHHHHH--------------------- : Jnet
jhmm                   : -----------HHHHHHHH------------------- : jhmm
jpssm                  : ----------HHHHHHH--------------------- : jpssm

Lupas 14               : -------------------------------------- : Lupas 14
Lupas 21               : -------------------------------------- : Lupas 21
Lupas 28               : -------------------------------------- : Lupas 28

Jnet_25                : -B-B------BBB-BB--BB-B--BB--BB--B---B- : Jnet_25
Jnet_5                 : --------------BB--B--B---B------B----- : Jnet_5
Jnet_0                 : -------------------------------------- : Jnet_0
Jnet Rel               : 99988875421666651111257777766777777889 : 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.