TABLE 5

Summary of molecular descriptors selected and training and test set correlations for MIC predictions


Prediction Model

Selected Descriptors

Training (r2)

Test Set (r2)
Pharmacophores Hydrophobic feature and hydrogen bond acceptor N.A. N.A.
ChemTree (single- and 100-tree models) Hydrogen bond acceptor and hydrophobic 49/54 = 91% 10/12 = 83.3%
ChemTree 100-tree models with Cerius2 descriptors Hydrogen bond acceptor, hydrophobic, and radius of gyration 49/54 = 91% 10/12 = 83.3%
Cerius2 CSAR tree Hydrogen bond acceptor, hydrogen bond donor, area, and dipole magnitude 54/54 = 100% 10/12 = 83.3%
Tree in R Hydrogen bond acceptor, radius of gyration, sum of atomic polarization, and dipole magnitude 52/54 = 96% 11/12 = 91.6%
Linear model in R
Hydrogen bond acceptor
43/54 = 80%
11/12 = 91.6%
  • N.A., not applicable.