Table 1.
Selected Descriptors by GA-PLS and Stepwise Regression from DRAGON Software
| Number | Symbol | Definition | Class |
|---|---|---|---|
| 1 | De | Total accessibility index / weighted by atomic Sanderson electronegativities | WHIM descriptors |
| 2 | MATS8e | Moran autocorrelation - lag 8 / weighted by atomic Sanderson electronegativities | 2D autocorrelations |
| 3 | Mor32m | 3D-MoRSE - signal 32 / weighted by atomic masses | 3D-MoRSE descriptors |
| 4 | SPH | Spherosity index | Geometrical descriptors |
| 5 | BELv1 | Lowest eigenvalue n. 1 of Burden matrix / weighted by atomic van der Waals volumes | BCUT descriptors |
| 6 | MATS7v | Moran autocorrelation - lag 7 / weighted by atomic van der Waalsvolumes | 2D autocorrelations |
| 7 | R1v+ | Maximal autocorrelation of lag 1 / weighted by atomic van der Waalsvolumes | GETAWAY descriptors |
| 8 | TIE | E-state topological parameter | Topological descriptors |
| 9 | BEHe8 | Highest eigenvalue n. 8 of Burden matrix / weighted by atomic Sanderson electronegativities | BCUT descriptors |
| 10 | GGI10 | Topological charge index of order 10 | Galvez topological charge indices |
| 11 | GATS6e | Geary autocorrelation - lag 6 / weighted by atomic Sanderson electronegativities | 2D autocorrelations |
A correlation matrix shows that there is no inter-correlation (R < 0.6) between the selected descriptors (Table 2) and reveals that the selected descriptors are linearly independent and hence can be used together in the development of QSAR models.