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. Author manuscript; available in PMC: 2024 Sep 28.
Published in final edited form as: Med Chem. 2013 May;9(3):434–448. doi: 10.2174/1573406411309030014

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.