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. 2018 Mar 26;8(21):11661–11683. doi: 10.1039/c8ra01206g

Prediction performance on DrugBank database with different Cutoff values of AD probability.

Property COF NCa The performance of Inside-AD compounds
Total Inside-AD MCC AUC SE SP OA Kappa
CacoPb 0.5 652 634 0.6956 0.8237 0.6621 0.9853 0.8360 0.6624
0.6 652 599 0.7154 0.8359 0.6873 0.9846 0.8481 0.6871
0.7 652 450 0.7788 0.8716 0.7590 0.9843 0.8867 0.7631
0.8 652 242 0.8680 0.9172 0.8409 0.9935 0.9380 0.8617
0.9 652 40 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000
HIA 0.5 1398 1347 0.6118 0.9015 0.9225 0.8805 0.8849 0.5683
0.6 1398 1187 0.6314 0.9040 0.9083 0.8997 0.9006 0.5963
0.7 1398 820 0.7293 0.9235 0.9070 0.9401 0.9366 0.7149
0.8 1398 407 0.8176 0.9373 0.9048 0.9699 0.9631 0.8146
0.9 1398 86 0.8622 0.9311 0.8750 0.9872 0.9767 0.8622
OBb 0.5 1307 1210 0.3384 0.7252 0.9261 0.5243 0.5917 0.2355
0.6 1307 1036 0.3573 0.7369 0.9209 0.5530 0.6158 0.2590
0.7 1307 667 0.4042 0.7596 0.9355 0.5838 0.6492 0.3094
0.8 1307 291 0.5245 0.7925 0.9136 0.6714 0.7388 0.4737
0.9 1307 33 0.5164 0.7727 0.8182 0.7273 0.7576 0.5000
PS 0.5 814 776 0.7358 0.8868 0.9221 0.8515 0.8737 0.7254
0.6 814 737 0.7482 0.8959 0.9430 0.8487 0.8779 0.7348
0.7 814 520 0.7355 0.8914 0.9430 0.8398 0.8712 0.7199
0.8 814 241 0.6447 0.8694 0.9259 0.8128 0.8382 0.6135
0.9 814 65 0.3898 0.7639 0.7778 0.7500 0.7538 0.3384
PI 0.5 974 919 0.6322 0.7329 0.4699 0.9960 0.9010 0.5821
0.6 974 885 0.6476 0.7432 0.4906 0.9959 0.9051 0.6017
0.7 974 708 0.7315 0.8011 0.6071 0.9950 0.9336 0.7072
0.8 974 319 0.8429 0.8958 0.8033 0.9884 0.9530 0.8389
0.9 974 55 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000
a

The number of compounds.

b

Classification cutoff values of these properties in DrugBank database are different from ours.