Research Article

QSBR Study of Bitter Taste of Peptides: Application of GA-PLS in Combination with MLR, SVM, and ANN Approaches

Table 3

GA-PLS selected descriptors along with descriptive for training data set (181 peptides).

NameRangeMinimumMaximumMeanStd. deviation

rdf025p112.704.07116.7730.9021.13
mor15u3.81−1.901.910.180.65
eeig08x4.21−0.243.972.161.21
mor11m2.13−1.210.92−0.150.40
rdf025v108.214.00112.2029.5220.28
mor15e3.73−1.572.160.260.70
mor21m3.86−3.93−0.08−0.900.64
belp71.880.001.881.180.42
rdf075m144.420.00144.4216.2824.18
mor31p1.850.141.980.540.36
ggi63.870.003.870.770.74
mor11v2.54−1.001.550.100.40
mor31v1.590.111.700.450.31
ncs29.001.0030.007.265.50
ti16217.22−87.256129.97255.45699.86
e3s0.640.000.640.210.10
gmti1318857.00347.001319204.0081064.04173637.51
vep18.182.6110.785.281.63
ats1p2.881.814.683.120.60
smtiv775601.00341.00775942.0048407.38103187.64
behv62.840.963.792.820.53
alogp8.07−2.815.260.381.45
rtp_a25.634.9030.5313.025.31
c00218.000.0018.004.133.38
j3d10.702.4113.105.352.46
idmt1426115.69182.311426298.0075860.86184400.59
mats2m0.32−0.160.160.040.06
mor11p2.80−1.291.510.050.43
mats2v1426115.69182.311426298.0075860.86184400.59
hats8u0.700.000.700.330.13
smti477598.00168.00477766.0029053.3663311.78
mor05u36.43−38.23−1.80−10.146.51
hats8e0.680.000.680.340.13
mats2e0.31−0.150.150.030.06
l1u53.452.4155.8612.989.33
rbn46.001.0047.0011.618.03
h6m1.810.001.810.340.36
rdf080e387.990.00387.9939.4161.82
rtv_a23.233.9927.2111.504.82