Skip to main content
. 2011 Dec 1;19(23):7168–7180. doi: 10.1016/j.bmc.2011.09.056

Table 2.

Performance of the generated pharmacophore models in screening the FXR-actives dataset and the validation DBs ChEMBL, DrugBank, and the Virtual DB. The model quality was assessed by EF calculations

Model Hits FXR-actives (n = 221) Hits ChEMBL (n = 304,052 w/o FXR-actives) EF ChEMBL/model rank Hits DrugBank (n = 4,722) EF DrugBank/model rank Hits Virtual DB (n = 12,775) EF Virtual DB/model rank Hits FXR decoys (n = 5,598) EF FXR decoys/model rank
1osh-1 51 10,139 6.9/9 73 9.2/9 99 19.2/8 526 2.3/10
1osh-1-s 34 350 121.9/3 2 21.1/4 5 51.3/6 17 17.6/4
1osh-2 69 2688 34.5/6 13 18.8/5 32 40.2/7 159 8.0/6
1osh-2-s 44 114 383.4/2 2 21.4/3 2 56.2/5 7 22.7/2
3bej-1 7 777 12.3/8 5 13.0/8 0 58.8/1 27 5.4/8
3bej-1-s 7 648 14.7/7 4 14.2/6 0 58.8/1 24 5.9/7
3bej-2 119 33280 4.9/10 316 6.1/10 429 12.8/9 982 2.8/9
3bej-2-s 100 1552 83.3/5 66 13.5/7 415 11.4/10 57 16.8/5
3dct 57 734 99.2/4 2 21.6/2 2 56.8/4 23 18.8/3
3dct-s 43 12 1076.4/1 0 22.4/1 0 58.8/1 1 25.7/1
3fli 143 61,788 3.2/12 427 5.6/12 1572 4.9/11 2473 1.4/11
3fli-s 135 55,965 3.3/11 381 5.9/11 1542 4.7/12 2396 1.4/12
All 194 82,006 3.2 654 5.1 1895 5.5 2927 1.6
All without 3fli-models 162 40,979 5.4 374 6.8 531 13.7 1389 2.8