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Table 11 Statistical validation results of the best 3D-QSAR 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

3D-QSAR models Q2 R2 SEE N R2test
CoMFA_E + S 0.643 0.962 0.0779 5 0.6318
CoMSIA_E + D 0.701 0.873 0.1338 3 0.6154
CoMSIA_S + E + D 0.702 0.877 0.1318 3 0.6535
CoMSIA_E + D + H 0.699 0.879 0.1306 3 0.6070
CoMSIA_S + E + D + H 0.700 0.882 0.1288 3 0.6610