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Table 9 Statistical validation results of probable CoMFA models

From: Computational modelling studies of some 1,3-thiazine derivatives as anti-influenza inhibitors targeting H1N1 neuraminidase via 2D-QSAR, 3D-QSAR, molecular docking, and ADMET predictions

Descriptors Q2 R2 SEE N
Steric (S) 0.315 0.822 0.1584 3
Electrostatic (E) 0.640 0.834 0.1528 3
S + E 0.643 0.962 0.0779 5
  1. Q2: leave-one-out cross-validated correlation coefficient; R2: non-cross-validated correlation coefficient; SEE: standard error of estimation; N: number of optimum components;