From: Human-in-the-loop active learning for goal-oriented molecule generation
Metric (mean) | No feedback | With feedback on DRD2 bioactivity | ||
---|---|---|---|---|
Chemist 1 | Chemist 2 | Chemist 3 | ||
DRD2 Predicted score | 0.93 | 0.80 ** | 0.81 ** | 0.84 ** |
DRD2 Oracle score \(\uparrow\) | 0.50 | 0.55 | 0.49 | 0.74 ** |
Mean Absolute Error \(\downarrow\) | 0.42 | 0.25 ** | 0.32 ** | 0.10 ** |
QED score \(\uparrow\) | 0.57 | 0.61 ** | 0.58 | 0.71 ** |
hERG inactivity score \(\uparrow\) | 0.91 | 0.88 | 0.90 | 0.82 |
Total Oracle score†\(\uparrow\) | 0.68 | 0.69 | 0.67 | 0.77 ** |
Internal Diversity \(\uparrow\) | 0.47 | 0.41 | 0.45 | 0.44 |
RO3 MolLogP \(\uparrow\) | 0.70 | 0.54 ** | 0.79 ** | 0.66 |
SA score \(\downarrow\) | 3.04 | 2.75 ** | 2.82 ** | 3.08 |
Novelty \(\uparrow\) | 1.0 | 1.0 | 1.0 | 1.0 |
Uniqueness \(\uparrow\) | 1.0 | 1.0 | 1.0 | 1 .0 |