Owing to a large number of non-empirical parameters (over 1,300), treated as independent variables and according

to QSAR strategy and multi-parameter regression rule in derived #RG7112 randurls[1|1|,|CHEM1|]# multi-parameter regression equation, the number of independent variables must be 5–6 times less than the number of cases considered in this study. In practice, for obtaining statistically significant equation, one independent variable (in our case structural descriptor) falls, generally out of five to maximum six cases considered, in dependent-variable activity (in our case, activity of acridinones). In the research done, the data set of 20 acridinone derivatives (dependent variables) was taken to QSAR analysis, and for this reason the derived QSAR equations were maximally limited to four statistically significant independent variables

(structural descriptors). Moreover, correlations were limited to the value Vistusertib supplier of regression coefficient R ≥ 0.8 and an additional criterion, considered as relevant to particular independent variables, was established at the significance level p ≤ 0.05. The calculated equations are presented in Table 2 and characterized by four statistically significant independent variables with a good value of regression coefficient R ≥ 0.8 (R = 0.9384 and R = 0.8388 for quantitative structure–antitumor activity relationships and quantitative structure–ability to DNA-duplexes stabilization relationships, respectively). Moreover, all the regression coefficients are highly statistically significant (p < 0.05) as is the whole equation (p < 7 × 10−4 for quantitative structure–antitumor activity relationships and p < 9 × 10−7 for quantitative

structure–ability to DNA-duplexes stabilization relationships, respectively). The values of the multiple correlation coefficient, R; the standard error of the estimate, s; and the value of the F-test of significance, F, are also statistically significant. Table 2 Multiple regression QSAR equation (dependent Methane monooxygenase variable = k 0 + k 1 A + k 2 B + k 3 C + k 4 D) Dependent variable Coefficients and statistically significant molecular descriptors Statistical parameters k 0 k 1 A k 2 B k 3 C k 4 D R (R 2)a S b F c p d ΔT m 97.44 ± 55.09 −6.59 ± 1.50 GATS7e 3.03 ± 0.88 μi 0.64 ± 0.30 H-047 −147.44 ± 83.58 Mp 0.8388 (0.7036) 2.15 8.90 7 × 10−4 p = 1 × 10−2 p = 5 × 10−4 p = 4 × 10−3 p = 5 × 10−3 p = 1 × 10−2 ILS 88.80 ± 153.44 8914.33 ± 1225.69 G3m −36.31 ± 6.02 logP −4691.69 ± 1227.99 G2p −4744.01 ± 1451.51 G3p 0.9384 (0.8806) 21.03 27.