Skip to main content
. 2013 Dec 4;14:351. doi: 10.1186/1471-2105-14-351

Table 1.

Statistical distribution of Pafig training dataset

Residue position 1 2 3 4 5 6
K
1.5
1.5
1.5
1.5
1.5
1.4
R
0.7
0.7
0.7
0.8
0.8
0.7
D
0.9
0.9
0.9
0.8
0.8
0.9
E
1.3
1.3
1.3
1.3
1.3
1.8
N
1.1
1.0
1.1
1.0
1.0
1.0
Q
0.9
0.9
1.0
1.0
0.9
0.9
P
0.7
0.7
0.6
0.7
0.6
0.6
H
1.0
1.1
1.1
1.0
1.1
1.0
M
0.8
0.7
0.7
0.7
0.8
0.7
C
0.5
0.6
0.6
0.6
0.6
0.5
S
1.3
0.8
0.8
0.8
0.9
0.9
T
1.1
1.7
1.0
1.0
1.0
1.0
F
1.2
1.2
1.2
1.2
1.2
1.1
W
0.9
1.0
0.9
0.9
0.9
0.8
Y
1.2
1.2
1.2
1.2
1.2
1.5
V
1.1
1.1
1.6
1.1
1.2
1.1
L
0.7
0.7
0.8
0.7
0.7
0.7
I
0.8
0.8
0.8
1.4
1.4
0.8
G
1.1
1.0
1.0
1.0
1.1
1.1
A 0.9 0.9 1.0 1.0 1.0 0.9

Statistical distribution of Pafig full training dataset, including all positive and negative hexapeptides, normalized versus frequencies of aminoacid occurrence in all proteins deposited in UniProt. The expected values for a well balanced training dataset should equal 1. The values above 1 denote over-representation of a residue at the specific location of training hexapeptides, values below 1 show under-representation. The bias from STVIIE is in bold.