Table 4. Efficiency of docking scores and rescores in prediction of training set compounds as active, moderately active and inactive.
Scoring method | Dataset validated | Most active | Moderately active | Least active | |
---|---|---|---|---|---|
Score | AutoDock Vina | Most Active | 5 | 3 | - |
AutoDock Vina | Least active | 1 | 4 | 4 | |
Chem | Most active | 6 | 2 | - | |
Chem | Least active | 1 | 6 | 2 | |
ASP | Most active | 5 | 2 | 1 | |
ASP | Least active | 2 | 2 | 5 | |
GOLD | Most active | 4 | 3 | 1 | |
GOLD | Least active | 1 | 4 | 4 | |
Consensus | Most active | 5 | 3 | - | |
Consensus | Least active | 1 | 4 | 4 | |
Rescore | AutoDock Vina | Most active | 6 | 2 | - |
AutoDock Vina | Least active | - | 5 | 4 | |
Chem | Most active | 8 | - | - | |
Chem | Least active | - | 5 | 4 | |
ASP | Most active | 5 | 3 | - | |
ASP | Least active | 1 | 1 | 7 | |
GOLD | Most active | 7 | 1 | - | |
GOLD | Least active | - | 2 | 7 | |
Consensus | Most active | 7 | 1 | - | |
Consensus | Least active | 1 | 4 | 4 |