Binding of the top three de novo derivatives to H1 site is detailed elsewhere [92] . The ability to bind with important H1 residues Asp103 and Arg238 [100] indicates the dual targeting possibility of the candidates. Figure 4A . All values were within the 95% prediction bands and the r 2 value = 0.8043. The SVM model was constructed using identical molecular descriptors and ligands as the MLR model. The r 2 value of the SVM model was 0.8605 and the correlation between observed and predicted activities of 27 ligands are illustrated in Figure 4B . Table 2 summarizes the pIC 50 values of TamifluH and the top three candidates as predicted by the generated MLR and SVM models. The predicted activity of TamifluH using the generated MLR model (pIC 50 = 7.613) is similar to observed bioactivity values reported in the literature (pIC 50 = 7.823) [101] . This indicates that the generated MLR model is a good prediction model. Predicted activity values using the SVM model indicate a lower pIC 50 with regard to TamifluH. Nonetheless, both models indicate that all TCM de novo derivatives are good candidates with neuraminidase inhibitory activity. MLR and SVM models for predicting hemagglutinin inhibitory activity were not established due to the lack of available hemagglutinin inhibitor structures in the literature.