Δb ILS exp c ILS calc Δ C-1310 15 3 12 6 2 7 185 172 13 C-1311 1

Δ C-1310 15.3 12.6 2.7 185 172 13 C-1311 13.7 13.6 0.1 93 90 3 C-1330 11.5 12.1 0.6 96 89 7 C-1415 7.2 8.8 1.6 55 53 2 C-1419 8.3 8.7 0.4 27 43 16 C-1558 2.4 2.8 0.4 0 5 5 C-1176 9.5 8.9 0.6 90 46 44 C-1263 12.3 12.5 0.2 110 110 0 C-1212 11.5 10.2 1.3 25 70 45 C-1371 3.5 8.5 5.0 120 113 7 C-1554 10.5 11.1 0.6 20 47 27 C-1266 9.9 10.7 0.8 10 −2 8 C-1492 13.1 13.5 0.4 85 82 3 C-1233 9.1 10.0 0.9 77 88 11 C-1303 13.1 10.1 3.0 102 83 19 C-1533 8.1 5.7 2.4 10 23 13 C-1567 6.8 6.3 0.5 0 3 3 C-1410 7.1 7.3 0.2 78 84 6 C-1296 11.5 buy LOXO-101 14.0 2.5 18 −3 15 C-1305 15.1 12.3 2.8 165 170 5 Mean value of Δ 1.4     13 aThe increase in DNA melting temperature (expressed in centigrade degrees) at drug to DNA base pairs 0.25 M ratio bDifference between experimental and calculated values cThe percentage of increase in survival time of treated to control mice with P388 leukemia at optimal dose Fig. 1 Correlation between the experimental data and the calculated data from the derived multiple regression

QSAR equation for a DNA-duplexes stabilization of acridinones expressed as ΔT m (the increase in DNA melting temperature at drug to DNA base pairs 0.25 M ratio) and b antitumor activity of acridinones expressed as ILS (survival time of treated to control mice with P388 leukemia at optimal dose) Table 5 Values Adenosine triphosphate of the cross-validated root-mean-square error RMSECV test QSAR model for dependent variable www.selleckchem.com/products/torin-1.html RMSECV test Leave-one-out method Leave-ten-out method 1a 2 3 4 1 2 3 4 ΔT m 3.36 2.53 2.56 2.39 3.44 2.63 2.64 2.41 ILS 53.39 42.10 28.48 22.79 54.23 42.35 28.74 22.27 a1–4 represents RMSECV test performed only for one, combined two and three, and for all the four significance descriptors in QSAR models,

respectively. In the case of QSAR model, for ΔT m as dependent-variable values, 1–4 were obtained for only GATS7e, GATS7e combined with μi, GATS7e combined with μi and H-047, GATS7e combined with μi, H-047, and Mp descriptors. In the case of QSAR model for ILS as dependent-variable values, 1–4 were obtained for only G3m, G3m combined with logP, G3m combined with logP and G2p, and G3m combined with logP, G2p and G3p descriptors Conclusions Statistically significant equations describing structure–antitumor activity relationships and structure–ability to physicochemical (noncovalent) interaction with DNA relationships in acridinone derivatives group were derived. It has been found that hydrophobic and total molecular symmetry 17-AAG datasheet properties are important for antitumor activity of acridinone derivatives, and electronic and topological properties are important for physicochemical (noncovalent) DNA-duplexes stabilization of these compounds.

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