Table 2. Simulation-based benchmark results over 10 independent runs for the different datasets. We show the amount of molecules the model is allowed to pick at each synthesis epoch, the experimental order of the compound with the highest affinity in the series, the average synthesis epoch our model found said molecule, the total necessary sampled ligands the proposed model has chosen before the target compound, and the sampling advantages over the experimental and random orders.
| Target | Set | # ligands | Chosen per synthesis epoch | Experimental order | Found at synthesis epoch | Total sampled ligands | Advantage over experimental choice | Advantage over random choice |
| PDE2 | 1 | 900 | 10 | 766 | 12.2 | 132 | 634 | 318 |
| PDE2 | 2 | 303 | 10 | 61 | 1 | 20 | 41 | 131.5 |
| PDE2 | 3 | 278 | 10 | 253 | 5.9 | 69 | 184 | 70 |
| ROS1 | — | 165 | 10 | 73 | 3.1 | 41 | 32 | 41.5 |
| BACE | — | 229 | 10 | 190 | 20.8 | 218 | –28 | –103.5 |