Table 3.
Compounds Selected for BChE and AChE in vitro Testing by Model.
| Algorithm | Compound | BChE | esBChE RP | Solubility Score | ADME/Tox Score | |
|---|---|---|---|---|---|---|
| RP | ||||||
| Contrastive Learning | CPI6990 | 0.86 | 0.90 | 0.93 | 8.98 | |
| CPI6991 | 0.84 | 0.80 | 0.98 | 9.04 | ||
| CPI7066 | 0.75 | 0.98 | 0.65 | 7.92 | ||
| CPI7067 | 0.83 | 0.89 | 0.80 | 8.47 | ||
| CPI7073 | 0.86 | 0.89 | 0.75 | 8.44 | ||
| CPI7076 | 0.97 | 0.96 | 0.76 | 8.78 | ||
| CPI7077 | 0.97 | 0.76 | 0.92 | 9.32 | ||
| CPI7078 | 0.85 | 0.86 | 0.69 | 8.31 | ||
|
| ||||||
| Deep Learning | CPI6989 | 0.92 | 0.84 | 0.93 | 9.77 | |
| CPI7001 | 0.88 | 0.99 | 0.81 | 9.23 | ||
| CPI7069 | 0.80 | 0.82 | 0.67 | 8.30 | ||
| CPI7071 | 0.75 | 0.80 | 0.76 | 7.22 | ||
| CPI7072 | 0.89 | 0.92 | 0.77 | 8.46 | ||
| CPI7074 | 0.85 | 0.92 | 0.92 | 8.51 | ||
| CPI7075 | 0.85 | 0.78 | 0.79 | 7.73 | ||
|
| ||||||
| Random Forest | CPI7003 | 0.90 | 0.87 | 0.88 | 9.17 | |
| CPI7068 | 0.95 | 1.00 | 0.69 | 8.88 | ||
| CPI7070 | 0.76 | 0.86 | 0.71 | 7.27 | ||
| CPI7079 | 0.89 | 0.76 | 0.90 | 8.49 | ||
| CPI7080 | 0.88 | 0.95 | 0.87 | 9.05 | ||