Table 5. SVM, MLR and QSAR predicted model.
SVM | MLR | CoMFA | CoMSIA | |||||||
---|---|---|---|---|---|---|---|---|---|---|
Index | Name | pIC50 | Predict | Residual | Predict | Residual | Predict | Residual | Predict | Residual |
1 | PU-02 | 5.071 | 5.454 | −0.383 | 5.697 | −0.626 | 5.777 | −0.706 | 5.556 | −0.485 |
2 | PU-14 | 5.454 | 5.454 | 0 | 5.870 | −0.416 | 5.286 | 0.168 | 5.606 | −0.152 |
3 | PU-23 | 5.429 | 5.425 | 0.004 | *5.201 | 0.228 | 5.193 | 0.236 | 5.581 | −0.152 |
4 | PU-26 | 6.206 | *6.100 | 0.106 | 6.228 | −0.022 | *6.025 | 0.181 | *5.592 | 0.614 |
5 | PU-31 | 6.408 | 5.454 | 0.954 | 5.679 | 0.729 | 5.883 | 0.525 | 5.591 | 0.817 |
6 | PU-33 | 5.250 | 5.246 | 0.004 | 5.289 | −0.039 | 5.357 | −0.107 | 5.362 | −0.112 |
7 | PU-34 | 5.136 | 5.144 | −0.008 | 4.913 | 0.223 | 5.323 | −0.187 | 5.198 | −0.062 |
8 | PU-35 | 6.339 | 5.587 | 0.752 | *5.831 | 0.508 | 6.049 | 0.29 | 6.374 | −0.035 |
9 | PU-47 | 4.819 | 4.824 | −0.005 | *5.359 | −0.54 | 4.961 | −0.142 | 4.762 | 0.057 |
10 | PU-48 | 6.728 | *6.664 | 0.064 | 6.654 | 0.074 | *6.226 | 0.502 | *6.12 | 0.608 |
11 | PU-49 | 4.885 | 4.894 | −0.009 | 4.902 | −0.017 | 4.715 | 0.17 | 4.784 | 0.101 |
12 | PU-55 | 6.657 | 6.656 | 0.001 | 6.501 | 0.156 | 6.755 | −0.098 | 6.602 | 0.055 |
13 | PU-57 | 4.753 | 5.174 | −0.421 | 4.828 | −0.075 | 4.89 | −0.137 | 4.79 | −0.037 |
14 | PU-58 | 6.123 | *6.177 | −0.054 | *6.063 | 0.06 | *5.022 | 1.101 | *4.98 | 1.143 |
15 | PU-59 | 6.276 | 6.276 | 0 | 6.227 | 0.049 | 6.287 | −0.011 | 6.27 | 0.006 |
**16 | PU21 | 6.770 | 5.328 | 1.442 | 6.385 | 0.385 | 6.161 | 0.609 | 7.027 | −0.257 |
**17 | PU168 | 6.553 | 6.279 | 0.274 | 6.515 | 0.038 | 6.186 | 0.367 | 6.667 | −0.114 |
**18 | PU468 | 6.167 | 5.441 | 0.726 | 6.042 | 0.125 | 4.974 | 1.193 | 5.027 | 1.14 |
**19 | PU474 | 6.495 | 5.626 | 0.869 | 6.639 | −0.144 | 6.238 | 0.257 | 6.759 | −0.264 |
*:Test set.
**:Prediction set.