Table 4.
Targets | Methods | EF1 | EF10 | EF20 | AUC |
---|---|---|---|---|---|
HIVPR | 4F SILCS-Pharma | 6.7 | 4.1 | 3.6 | 0.78 |
5F Modified SILCS-Pharmb | 77.1 | 9.2 | 4.4 | 0.89 | |
Original SILCS-Pharmc | 99.6 | 9.8 | 4.3 | 0.88 | |
DOCK 4.0 | 2.0 | 1.5 | 1.2 | 0.58 | |
AutoDock 4 | 0 | 2.1 | 1.5 | 0.56 | |
AutoDock Vina | 4.2 | 3.6 | 2.8 | 0.73 | |
FPPd | 9.3 | 4.7 | 3.5 | 0.81 | |
HSRPd | - | - | - | <0.80e | |
| |||||
FXa | 4F SILCS-Pharma | 41.9 | 11.4 | 5.1 | 0.91 |
Original SILCS-Pharmc | 20.7 | 6.5 | 3.5 | 0.81 | |
DOCK 4.0 | 26.3 | 4.2 | 2.6 | 0.76 | |
AutoDock 4 | 0.7 | 0.7 | 0.7 | 0.42 | |
AutoDock Vina | 3.8 | 1.5 | 1.6 | 0.64 | |
FPPd | 12.2–29.7 | 5.6–6.7 | 3.5–3.9 | 0.81–0.87f | |
HSRPd | - | - | - | <0.83e | |
| |||||
DHFR | 3F SILCS-Pharma | 29.3 | 4.8 | 3.0 | 0.79 |
Original SILCS-Pharmc | 0.0 | 5.5 | 4.0 | 0.87 | |
DOCK 4.0 | 6.3 | 1.8 | 1.8 | 0.66 | |
AutoDock 4 | 6.3 | 2.8 | 2.8 | 0.76 | |
AutoDock Vina | 3.8 | 1.7 | 1.2 | 0.65 | |
FFPd | 2.0 | 1.5 | 1.3 | 0.51 | |
HSRPd | - | - | - | <0.62e | |
| |||||
FGFr1 | 3F SILCS-Pharma | 0.8 | 1.5 | 0.8 | 0.55 |
DOCK 4.0 | 1.7 | 0.8 | 0.7 | 0.33 | |
AutoDock 4 | 0.0 | 0.6 | 0.4 | 0.38 | |
AutoDock Vina | 0.0 | 1.2 | 1.2 | 0.50 | |
| |||||
P38 MAP | 3F SILCS-Pharma | 6.4 | 1.8 | 1.3 | 0.57 |
DOCK 4.0 | 2.0 | 1.1 | 0.7 | 0.39 | |
AutoDock 4 | 2.0 | 0.7 | 0.8 | 0.45 | |
AutoDock Vina | 2.5 | 2.4 | 1.8 | 0.59 | |
| |||||
ADA | 3F SILCS-Pharma | 0.0 | 3.8 | 3.0 | 0.80 |
DOCK 4.0 | 0.0 | 4.3 | 2.7 | 0.79 | |
AutoDock 4 | 0.0 | 1.8 | 1.3 | 0.46 | |
AutoDock Vina | 0.0 | 0.0 | 0.0 | 0.36 | |
| |||||
ERantagonist | 4F SILCS-Pharma | 14.3 | 10.3 | 4.6 | 0.81 |
DOCK 4.0 | 0.0 | 0.8 | 0.8 | 0.46 | |
AutoDock 4 | 6.0 | 4.2 | 2.5 | 0.64 | |
AutoDock Vina | 2.8 | 2.4 | 1.7 | 0.59 | |
| |||||
AmpC | 3F SILCS-Pharma | 5.0 | 2.0 | 3.6 | 0.70 |
DOCK 4.0 | 104.6 | 9.5 | 4.7 | 0.87 | |
AutoDock 4 | 0.0 | 1.0 | 1.4 | 0.58 | |
AutoDock Vina | 0.0 | 0.0 | 0.5 | 0.35 |
The results of the best performing SILCS pharmacophore model based on AUC with a specific number of key features (e.g. 4F means 4 top FGFE ranked features are considered as key features in the model) are shown.
The best modified model for HIVPR with the POS feature changed into a HBDON|POS feature.
The best results from the original SILCS-Pharm work16.
Full Protein Pharmacophore (FPP) and Hydration Site Restricted Pharmacophore (HSRP) results from Lill and coworkers work7.
The upper AUC values for HSRP models using different parameters are estimated from figure 7 in Ref.7 as no exact values were reported.
Three protein structures were used for FXa in Ref.7, so the range of AUC values is shown here.