From: Designing optimized drug candidates with Generative Adversarial Network
ub | 50 | 100 | 150 | 200 | 250 | 300 | 350 | 400 | 450 | 500 | |
---|---|---|---|---|---|---|---|---|---|---|---|
Max | 8.454 | 8.341 | 8.852 | 9.340 | 9.354 | 8.911 | 9.149 | 9.000 | 8.939 | 9.241 | 9.179 |
Mean | 5.984 | 6.501 | 6.719 | 6.791 | 6.851 | 7.015 | 7.074 | 7.168 | 7.204 | 7.273 | 7.383 |
Min | 5.083 | 5.198 | 5.205 | 5.380 | 5.181 | 5.496 | 5.271 | 5.340 | 5.522 | 5.380 | 5.380 |
Int Div | 0.887 | 0.890 | 0.890 | 0.887 | 0.891 | 0.886 | 0.885 | 0.885 | 0.883 | 0.878 | 0.877 |
Ext Div | 0.890 | 0.900 | 0.909 | 0.908 | 0.915 | 0.923 | 0.922 | 0.926 | 0.930 | 0.937 | 0.938 |
% Uni. | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 99.9 | 100.0 | 100.0 | 99.8 | 100.0 |
% Valid | 62.2 | 47.1 | 57.7 | 64.0 | 70.7 | 76.0 | 78.9 | 93.6 | 84.1 | 92.4 | 94.3 |