The paper concerns estimation of significance of differences of mutagenesis level between the wild-type strain (wt) and its derivatives which differ in DNA repair ability, namely alkA and alkB strain, devoided AlkA glycosylase and AlkB dioxygenase activity, respectively. The strains were analyzed for their ability to repair 1,N6-ethenoadenine (εA) - chloroacetaldehyde adduct to DNA. The analysis was done using classical statistical and pattern recognition methods. The obtained results confirmed that AlkB dioxygenase plays the most important role in εA repair in E. coli in the experimental modeling.
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The k-Nearest Neighbor classifier (k-NN) was applied to differentiate two bacterial strains, the wild type and its mug derivative. Bacterial cells were exposed to different concentrations of chloroacetaldehyde and studied under two different conditions, i.e. with and without induction of an adaptive response. We evaluated the influence of adaptation on the wt and mug strains by estimating the probability of misclassification to the class: no adaptation or adaptation. We have also checked differentiation between wt and mug, separately for adapted and non-adapted conditions. Our results confirm the usefulness of the k-NN classifier as a tool for statistical analysis of results of mutagenesis tests.
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