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Quantitative structure activity relationship for the computational prediction of nitrocompounds carcinogenicity.
Morales, Aliuska Helguera; Pérez, Miguel Angel Cabrera; Combes, Robert D; González, Maykel Pérez.
Afiliação
  • Morales AH; Department of Chemistry, Faculty of Chemistry and Pharmacy, Central University of Las Villas, Santa Clara, Villa Clara 54830, Cuba.
Toxicology ; 220(1): 51-62, 2006 Mar 01.
Article em En | MEDLINE | ID: mdl-16414170
Several nitrocompounds have been screened for carcinogenicity in rodents, but this is a lengthy and expensive process, taking two years and typically costing 2.5 million dollars, and uses large numbers of animals. There is, therefore, much impetus to develop suitable alternative methods. One possible way of predicting carcinogenicity is to use quantitative structure-activity relationships (QSARs). QSARs have been widely utilized for toxicity testing, thereby contributing to a reduction in the need for experimental animals. This paper describes the results of applying a TOPological substructural molecular design (TOPS-MODE) approach for predicting the rodent carcinogenicity of nitrocompounds. The model described 79.10% of the experimental variance, with a standard deviation of 0.424. The predictive power of the model was validated by leave-one-out validation, with a determination coefficient of 0.666. In addition, this approach enabled the contribution of different fragments to carcinogenic potency to be assessed, thereby making the relationships between structure and carcinogenicity to be transparent. It was found that the carcinogenic activity of the chemicals analysed was increased by the presence of a primary amine group bonded to the aromatic ring, a manner that was proportional to the ring aromaticity. The nitro group bonded to an aromatic carbon atom is a more important determinant of carcinogenicity than the nitro group bonded to an aliphatic carbon. Finally, the TOPS-MODE approach was compared with four other predictive models, but none of these could explain more than 66% of the variance in the carcinogenic potency with the same number of variables.
Assuntos
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador / Carcinógenos / Biologia Computacional / Relação Quantitativa Estrutura-Atividade / Nitrocompostos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Toxicology Ano de publicação: 2006 Tipo de documento: Article País de afiliação: Cuba País de publicação: Irlanda
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador / Carcinógenos / Biologia Computacional / Relação Quantitativa Estrutura-Atividade / Nitrocompostos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Toxicology Ano de publicação: 2006 Tipo de documento: Article País de afiliação: Cuba País de publicação: Irlanda