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Logistic QSAR on Inter-species Toxicity

Identifying chemical hazards without further laboratory testing stays as the most challenging aim of the current in silico methods in Quantitative [Pg.503]

CHEMICAL SPACE Structure Activity 1 Activity 2 Activity 3 [Pg.504]

FIGURE 3.37 Graphical representation of a chemical category and some approaches for filling data gap (EU-QSAR, 2011 Putz et al., 2012). [Pg.504]

There are some classes of mechanism of toxic action, such as nonpolar narcosis, polar narcosis, weak acid respiratory uncoupling, formation of free radicals, electrophilic reactions, toxic action by specific (receptor-mediated) mechanisms. However, the identification of the mechanism of toxic action is often a difficult task due to the complex nature of toxic activity (Schluz et al., 2003), see Table 3.62. For instance (Putz et al., 2012)  [Pg.505]

Schultz and Cronin (2003) had identified the characteristics for ecotoxi-cological QSAR reliable ecotoxicological data, high quality, interpretable and reproducible descriptors, of a number and type consistent with the endpoint being modelled and the used of a statistical procedure allowing the development of a rigorous and transparent mathematical model. [Pg.505]


See other pages where Logistic QSAR on Inter-species Toxicity is mentioned: [Pg.194]    [Pg.503]   


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