From: Application of 3D Zernike descriptors to shape-based ligand similarity searching
Method | Â | Â | Â | Â | Â | ||
---|---|---|---|---|---|---|---|
Descriptors | Metric | Order | EF1% | EF5% | BEDROC (α = 160.9) | BEDROC (α = 32.2) | AUC ROC |
3DZD | Correlation coefficient | 4 | 1.887 | 1.298 | 0.0241 | 0.0485 | 0.421 |
 |  | 6 | 1.996 | 1.334 | 0.0261 | 0.0500 | 0.423 |
 |  | 8 | 2.006 | 1.297 | 0.0260 | 0.0490 | 0.430 |
 |  | 10 | 1.932 | 1.208 | 0.0252 | 0.0461 | 0.435 |
 |  | 12 | 2.006 | 1.297 | 0.0260 | 0.0490 | 0.430 |
 |  | 14 | 1.796 | 1.146 | 0.0238 | 0.0440 | 0.444 |
 | Euclidean (DE) | 4 | 1.546 | 1.307 | 0.0199 | 0.0471 | 0.411 |
 |  | 6 | 1.634 | 1.292 | 0.0213 | 0.0473 | 0.416 |
 |  | 8 | 1.725 | 1.301 | 0.0225 | 0.0477 | 0.427 |
 |  | 10 | 1.737 | 1.255 | 0.0227 | 0.0464 | 0.435 |
 |  | 12 | 1.728 | 1.301 | 0.0226 | 0.0477 | 0.427 |
 |  | 14 | 1.723 | 1.263 | 0.0227 | 0.0470 | 0.455 |
 | Manhattan (DM) | 4 | 1.561 | 1.281 | 0.0199 | 0.0466 | 0.412 |
 |  | 6 | 1.643 | 1.267 | 0.0212 | 0.0463 | 0.418 |
 |  | 8 | 1.735 | 1.250 | 0.0224 | 0.0462 | 0.431 |
 |  | 10 | 1.742 | 1.201 | 0.0226 | 0.0448 | 0.442 |
 |  | 12 | 1.740 | 1.251 | 0.0224 | 0.0462 | 0.431 |
 |  | 14 | 1.720 | 1.222 | 0.0226 | 0.0461 | 0.463 |
USR | Correlation coefficient | 12 | 1.778 | 1.248 | 0.0229 | 0.0461 | 0.417 |
 |  | 16 | 1.706 | 1.357 | 0.0222 | 0.0480 | 0.422 |
 | DE | 12 | 1.955 | 1.301 | 0.0256 | 0.0486 | 0.392 |
 |  | 16 | 1.983 | 1.296 | 0.0261 | 0.0485 | 0.386 |
 | DM | 12 | 2.057 | 1.403 | 0.0268 | 0.0515 | 0.395 |
 |  | 16 | 2.045 | 1.335 | 0.0268 | 0.0497 | 0.386 |
SIMCOMP | (Maximal Common Subgraph) | - | 2.735 | 1.277 | 0.0383 | 0.0528 | 0.477 |
Atom Count | - | - | 1.972 | 1.581 | 0.0248 | 0.0562 | 0.422 |