Table 2. Enrichment Analysis for Refined Pharmacophore Models.
| active
and inactive compounds in the dataset |
virtual screening resultsb |
|||||
|---|---|---|---|---|---|---|
| approach | target | active | decoy | active | decoy | EF |
| ELIXIR-A | HIVPR | 536 | 35,750 | 3 | 16 | 10.69 |
| LigandScout | 253 | 3236 | 4.91 | |||
| Phase | 36 | 5409 | 0.45 | |||
| ELIXIR-A | ACES | 408 | 26,250 | 201 | 3349 | 3.70 |
| LigandScout | 190 | 2913 | 4.00 | |||
| Phase | 167 | 8308 | 1.29 | |||
| ELIXIR-A | CDK2 | 335 | 27,850 | 189 | 1597 | 8.90 |
| LigandScouta | ||||||
| Phase | 33 | 345 | 7.34 | |||
LigandScout lacked sufficient independent matching of pharmacophore features within tolerances to generate alignment.
Some molecules in the dataset have multiple tautomer confirmations. The output will only include a unique active/decoy molecule with minimum RMSD from pharmacophore matching.