<i>In Silico</i> Predictability of Toxicity Parameters Using the OECD QSAR Toolbox of Some Components of <i>Cannabis sativa</i>

In this paper, the quantitative structure-activity relationship predictive models (QSAR) are presented: prediction model for some of main components cannabis sativa, acute toxicity LD50 (n=45, r2=0.917, q2=0.902), chronic LOAEL (n=35, r2=0.911, q2=0.868), NOAEL(n=22, r2=0.964, q2=0.937), LOEL (n=26, q2=0.863) and NOEL (n=25, r2=0.867, q2=0.802), in addition to carcinogenicity mutagenicity effects. Only case LD50, values reported literature delta 9-THC compound present Cannabis sativa were taken into account was applied other compounds plant, which we consider most relevant since they fell from allowed domain QSAR Toolbox predict each them, while additional endpoints established according methodology that marks software. The application these predictions us permissible daily exposure (PDE) acceptable intake (ADI) components. This work aims important elements toxicology plant serve only as a reference does not intend favor or inhibit use medicinal recreational use.