Abstract

The mouse lymphoma L5178Y thymidine kinase locus gene mutation assay (MLA) is typically part of regulatory batteries of methods used for in vitro evaluation of substances eliciting small gene mutations, and gross structural alterations at the chromosomal level. In an effort to make the MLA endpoint amenable to category formation to support assessments of mutagenesis, a model with 52 DNA and 32 protein binding alerts particular to the MLA endpoint has been developed. Each alert is supported by a mechanistic justification, an alert-specific training set and an alert performance evaluation. Subsequently, these alerts have been used in combination with an in vitro rat liver S9 fraction metabolic simulator (the TIssue MEtabolism Simulator (TIMES) platform) to evaluate MLA mutagenicity of likely metabolites of MLA negative parent compounds. The resulting system provides for transparent in silico identification of structural and general parametric requirements, as well as, binding mechanisms in parent chemicals and their simulated metabolites. When applied to the training sets, performance of the TIMES_MLA models, both with and without rat liver S9 activation show high (≥80%) sensitivity, specificity and concordance, which is consistent with the repeatability and reproducibility of experimental MLA results.

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