#
#  VTML240 
#
# This matrix was produced by scripts written by
# Kai Kneutgen and Tobias Mueller [Mai-2002]
#
# VTML240  substitution matrix, Units = 1/60-Bits 
#
# Expected Score = -14.748 1/60-Bits
# Lowest Score   = -107.611
# Highest Score  = 288.790
# Entropy H      = 0.295 Bits
#
#
# For further information on the VTML substitution model, see 
#
#    Estimating Amino Acid Substitution Models:
#    A Comparison of Dayhoff's Estimator, the Resolvent Approach and a Maximum Likelihood Method.
#    T. Mueller, R. Spang and M. Vingron
#    Mol Biol Evol 19(1): 8-13. 2002. 
#
# or mail to
#    Tobias.Mueller@molgen.mpg.de
#
# The latest version of this perl script can be downloaded at 
#    http://www.molgen.mpg.de/~muelle_t
 A R N D C Q E G H I L K M F P S T W Y V B Z X * 
A 58 -22 -8 -12 23 -9 -7 10 -23 -14 -27 -14 -17 -44 1 23 15 -74 -45 5 -10 -8 -9 -108 
R -22 113 2 -29 -43 34 -8 -32 19 -55 -48 68 -31 -65 -20 -10 -14 -58 -39 -49 -14 13 -14 -108 
N -8 2 89 48 -33 12 15 4 21 -62 -63 13 -45 -64 -25 22 10 -79 -29 -51 69 14 -11 -108 
D -12 -29 48 111 -67 18 59 -4 4 -84 -88 6 -65 -104 -13 5 -7 -105 -73 -63 80 38 -23 -108 
C 23 -43 -33 -67 224 -53 -63 -30 -29 1 -41 -56 -6 -50 -44 15 2 -93 -6 18 -50 -58 -17 -108 
Q -9 34 12 18 -53 75 40 -29 27 -47 -36 34 -21 -56 -6 1 -4 -92 -48 -37 15 58 -10 -108 
E -7 -8 15 59 -63 40 85 -17 -1 -63 -60 25 -47 -83 -12 1 -7 -108 -51 -47 37 63 -17 -108 
G 10 -32 4 -4 -30 -29 -17 140 -32 -95 -91 -27 -75 -93 -36 5 -26 -80 -79 -68 0 -23 -33 -108 
H -23 19 21 4 -29 27 -1 -32 137 -50 -37 6 -42 4 -23 -4 -12 -13 48 -44 12 13 -2 -108 
I -14 -55 -62 -84 1 -47 -63 -95 -50 86 53 -53 47 12 -60 -43 -8 -27 -24 69 -73 -55 -21 -108 
L -27 -48 -63 -88 -41 -36 -60 -91 -37 53 88 -48 62 36 -48 -47 -25 -11 -4 36 -75 -48 -20 -108 
K -14 68 13 6 -56 34 25 -27 6 -53 -48 75 -30 -74 -12 -3 -4 -71 -49 -44 10 30 -13 -108 
M -17 -31 -45 -65 -6 -21 -47 -75 -42 47 62 -30 103 30 -54 -35 -9 -46 -20 31 -55 -34 -13 -108 
F -44 -65 -64 -104 -50 -56 -83 -93 4 12 36 -74 30 144 -67 -43 -41 63 104 -3 -84 -69 -20 -108 
P 1 -20 -25 -13 -44 -6 -12 -36 -23 -60 -48 -12 -54 -67 160 5 -12 -76 -83 -42 -19 -9 -23 -108 
S 23 -10 22 5 15 1 1 5 -4 -43 -47 -3 -35 -43 5 53 32 -62 -31 -28 13 1 -7 -108 
T 15 -14 10 -7 2 -4 -7 -26 -12 -8 -25 -4 -9 -41 -12 32 68 -87 -40 0 1 -5 -9 -108 
W -74 -58 -79 -105 -93 -92 -108 -80 -13 -27 -11 -71 -46 63 -76 -62 -87 289 81 -61 -92 -100 -35 -108 
Y -45 -39 -29 -73 -6 -48 -51 -79 48 -24 -4 -49 -20 104 -83 -31 -40 81 162 -32 -51 -49 -13 -108 
V 5 -49 -51 -63 18 -37 -47 -68 -44 69 36 -44 31 -3 -42 -28 0 -61 -32 74 -57 -42 -17 -108 
B -10 -14 69 80 -50 15 37 0 12 -73 -75 10 -55 -84 -19 13 1 -92 -51 -57 74 26 -17 -108 
Z -8 13 14 38 -58 58 63 -23 13 -55 -48 30 -34 -69 -9 1 -5 -100 -49 -42 26 60 -14 -108 
X -9 -14 -11 -23 -17 -10 -17 -33 -2 -21 -20 -13 -13 -20 -23 -7 -9 -35 -13 -17 -17 -14 -16 -108 
* -108 -108 -108 -108 -108 -108 -108 -108 -108 -108 -108 -108 -108 -108 -108 -108 -108 -108 -108 -108 -108 -108 -108 1 
