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. 2023 Feb 3;13(7):4623–4640. doi: 10.1039/d2ra07007c

Hit compounds and count of their “active”/“inactive” docked poses as predicted based on GA/SHAP selected features (Table 4).

Hitsa NCI Code Captured Byb Predicted number of active and inactive docked poses
Xgboost RF
Active poses Inactive poses Percent active posesc Active poses Inactive poses Percent active posesc
317 3590 1,2 183 31 85.5 78 30 72.2
318 20 261 1 40 77 34.2 ND ND ND
319 59 407 1 205 34 85.8 ND ND ND
320 65 832 1 65 56 53.7 ND ND ND
321 745 104 1,2 3 3 50.0 5 1 33.3
322 72 868 1 56 45 55.4 ND ND ND
323 77 028 1 52 64 44.8 ND ND ND
324 77 029 1 47 64 42.3 ND ND ND
325 82 523 1 152 20 88.4 ND ND ND
326 98 711 1 48 71 40.3 ND ND ND
327 100 791 1 70 38 64.8 ND ND ND
328 107 137 1 102 41 71.3 ND ND ND
329 107 139 2 ND ND ND 45 11 80.4
330 267 431 1,2 40 48 45.5 48 37 56.5
331 289 523 1 76 28 73.1 ND ND ND
332 338 310 2 ND ND ND 129 34 79.1
333 341 076 1,2 217 39 84.8 189 29 86.7
334 341 077 1,2 209 41 83.6 180 37 82.9
335 363 007 2 ND ND ND 119 42 73.9
336 372 667 1,2 158 26 85.9 131 40 76.6
337 373 233 1 53 55 49.1 ND ND ND
338 380 962 1 45 33 57.7 ND ND ND
339 645 793 2 ND ND ND 40 23 63.5
340 651 016 2 ND ND ND 52 33 61.2
341 669 269 1,2 135 54 71.4 124 33 79.0
342 722 969 2 ND ND ND 51 20 71.8
a

Chemical structures are shown in Fig. S3.

b

1 represents XGboost-GFA model or Hypo-1, 2 represents RF-GFA model or Hypo-2.

c

Determined by dividing the number of active poses by the total number of poses (active + inactive). ND: not determined.