Topological structural alerts modulations of mammalian cell mutagenicity for halogenated derivatives
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Author/sMorales Helguera, Aliuska; Borges, F.; Combes, R. D.; Pérez Garrido, Alfonso; Gil Izquierdo, Francisco
Ciencias de la Alimentación
Ingeniería, Industria y Construcción
Aliphatic halogenated derivatives
Genotoxicity is a key toxicity endpoint for current regulatory requirements regarding new and existing chemicals. However, genotoxicity testing is time-consuming and costly, and involves the use of laboratory animals. This has motivated the development of computational approaches, designed to predict genotoxicity without the need to conduct laboratory tests. Currently, many existing computational methods, like quantitative structure–activity relationship (QSAR) models, provide limited information about the possible mechanisms involved in mutagenicity or predictions based on structural alerts (SAs) do not take statistical models into account. This paper describes an attempt to address this problem by using the TOPological Substructural MOlecular Design (TOPS-MODE) approach to develop and validate improved QSAR models for predicting the mutagenicity of a range of halogenated derivatives. Our most predictive model has an accuracy of 94.12%, exhibits excellent cross-validation a...