Assessment of Radon Concentration in Tobacco of Some Brands Cigarette Sold in Côte d'Ivoire

摘要

Quantitative Structure Activity Relationship (QSAR) study of Toxoplasma gondii was done on a series of twenty-five (25) imidazole-thiosemicarbazide molecules. In order to obtain molecular descriptors all these molecules were optimized at B3LYP/LanL2DZ level. This study was performed using the linear multiple regression (MLR), nonlinear regression (MNLR) and artificial neural network (ANN) methods. These statistical methods allow to find three (3) quantitative models. Quantum descriptors which such as energy gap (ΔE), dipole moment (μ), enthalpy of formation (ΔfH), bond length (D(C-S)) and lipophilicity (Logp) were used in models elaboration. Among obtained models, RNA model has much better predictive ability than other models with R2 = 0.9291 and RMCE = 0.00023. A decrease in energy gap (ΔE) which is the main descriptor could significantly improve the Toxoplasma gondii IC50 inhibitory concentration of substituted imidazole-thiosemicarbazide analogues. Furthermore, the external validation test pIC50 theo/ pIC50 exp and the applicability domain from Cook's distance were verified.