Table 1. Comparison of the Docked Data Sets Obtained by Derivatization Design (DD) and Deep Generative Design (DGD).
| DD | DGD | overlap | |
|---|---|---|---|
| size of training seta | 8 | 1370 | 8 |
| docked set size | 6748 | 6427 | 0 |
| scaffold count (SC)a | 483 | 818 | 124 |
| SC with 2–3 substituents | 89% | 74% | N/A |
| LBM count | 6748 | 5394 | 6 |
| BM count | 1404 | 2828 | 86 |
| Glide hit rate | 34% | 9% | N/A |
| best Glide XP scoreb | –17.7 | –16.4 | N/A |
| avg hit docking LEa | 0.50 | 0.46 | N/A |
| avg hit docking LIPEa | 7.8 | 6.9 | N/A |
| top 50 XP Glide score | –15.5 | –13 | N/A |
| new motifs | 6 | 4 | 1 |
See the Supporting Information.
Ponatinib XP Glide score is −15.4.