Whether The Validation Of The Predictive Potential Of Toxicity Models Is Solved Task?

BACKGROUND Different kinds of biological activity are defined by complex biochemical interactions, i.e. are a "mathematical function" not only of the molecular structure but also some unclear addition circumstances, such as physicochemical conditions, interactions via energy and information effects between a substance and organisms, organs, cells. These circumstances lead to great complexity of prediction for biochemical endpoints, since all "details" of corresponding phenomena are practically unavailable for the accurate registration and analysis Objective: Researchers have not possibility to carry out and analyse all possible ways of the biochemical interactions, which define toxicological or therapeutically attractive effects via direct experiment. Consequently, a compromise, i.e the development of predictive models of the above phenomena become necessary. METHOD This mini-review contains collection of attempts to use for the above-mentioned task, two special statistical indices, which may be a measure of the predictive potential of models. These indices are (i) Index of Ideality of Correlation; and (ii) Correlation Contradiction Index.