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. 2015 Dec 29;4(1):819. doi: 10.1186/s40064-015-1593-3

Table 4.

Topological indices based training QSAR model and interpretation of the modeled descriptors

Validated training QSAR model
pIC50=-10.234+-9.3BIC5+-1.83GATS7e+-3.19MATS7e+4.81BEHe4+-1.21EEig12r+-0.065DP12+1.89BELm7+3.1PCR
N=50,R2=0.870,Q2=0.810,Pred_R2=0.737,rm2=0.659,Average rm2rm2¯=0.682,Delta rm2Δr2m=0.04,SEE=0.282
Modeled descriptors Interpretation
BIC5 Bond information content index (neighborhood symmetry of 5-order)
GATS7e Geary autocorrelation—lag 7/weighted by atomic Sanderson electronegativities. 2D autocorrelations
MATS7e Moran autocorrelation—lag 7/weighted by atomic Sanderson electronegativities
BEHe4 Highest eigen value of number 4 of burden matrix/weighted by atomic Sanderson electronegativities
EEig12r Eigenvalue 12 from edge adj. matrix weighted by resonance integrals
DP12 Molecular profile number 12
BELm7 Lowest eigenvalue number 7 of Burden matrix/weighted by atomic masses
PCR ratio of multiple path count over path count