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Table 5 Performance on the HD benchmark

From: A new protein binding pocket similarity measure based on comparison of clouds of atoms in 3D: application to ligand prediction

Method

AUC

CE

sup-CK

0.710 ± 0.19

0.47

sup-CK L

0.752 ± 0.16

0.38

sup-CK-Vol

0.722 ± 0.18

0.46

sup-CK L -Vol

0.766 ± 0.17

0.38

Vol

0.648 ± 0.15

0.89

Princ-Axis

0.650 ± 0.18

0.71

sup-PI

0.702 ± 0.19

0.47

MultiBind

0.69 ± 0.14

0.48

Sequence

0.577 ± 0.09

0.83

  1. Performance for each algorithm is evaluated by its mean AUC score and by its classification error (CE), averaged over all pockets.