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Journal of Environmental Science and Health, Part C
Environmental Carcinogenesis and Ecotoxicology Reviews
Volume 31, 2013 - Issue 1
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Original Articles

Comparison of In Silico Models for Prediction of Mutagenicity

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Pages 45-66 | Published online: 27 Mar 2013

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Read on this site (11)

Ézio R. A. de Sá, Janilson L. Souza, Rayla K. M. Costa, Rômulo O. Barros, Carlos E. B. de Lima, Francisco das C. A. Lima & Ricardo M. Ramos. (2023) Computational investigation of the alkaloids of Pilocarpus microphyllus species as phytopharmaceuticals for the inhibition of sterol 14α-demethylase protease of Trypanosoma cruzi. Journal of Biomolecular Structure and Dynamics 41:6, pages 2555-2573.
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Romualdo Benigni, Arianna Bassan & Manuela Pavan. (2020) In silico models for genotoxicity and drug regulation. Expert Opinion on Drug Metabolism & Toxicology 16:8, pages 651-662.
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A. Tintó-Moliner & M. Martin. (2020) Quantitative weight of evidence method for combining predictions of quantitative structure-activity relationship models. SAR and QSAR in Environmental Research 31:4, pages 261-279.
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Azadi Golbamaki, Nazanin Golbamaki, Natalia Sizochenko, Bakhtiyor Rasulev, Jerzy Leszczynski & Emilio Benfenati. (2018) Genotoxicity induced by metal oxide nanoparticles: a weight of evidence study and effect of particle surface and electronic properties. Nanotoxicology 12:10, pages 1113-1129.
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Kevin A. Ford, Gregory Ryslik, Bryan K. Chan, Sock-Cheng Lewin-Koh, Davi Almeida, Michael Stokes & Stephen R. Gomez. (2017) Comparative evaluation of 11 in silico models for the prediction of small molecule mutagenicity: role of steric hindrance and electron-withdrawing groups. Toxicology Mechanisms and Methods 27:1, pages 24-35.
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S. A. Kulkarni, E. Benfenati & T. S. Barton-Maclaren. (2016) Improving confidence in (Q)SAR predictions under Canada’s Chemicals Management Plan – a chemical space approach. SAR and QSAR in Environmental Research 27:10, pages 851-863.
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E. Benfenati, M. Belli, T. Borges, E. Casimiro, J. Cester, A. Fernandez, G. Gini, M. Honma, M. Kinzl, R. Knauf, A. Manganaro, E. Mombelli, M. I. Petoumenou, M. Paparella, P. Paris & G. Raitano. (2016) Results of a round-robin exercise on read-across. SAR and QSAR in Environmental Research 27:5, pages 371-384.
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P. Kamath, G. Raitano, A. Fernández, R. Rallo & E. Benfenati. (2015) In silico exploratory study using structure–activity relationship models and metabolic information for prediction of mutagenicity based on the Ames test and rodent micronucleus assay. SAR and QSAR in Environmental Research 26:12, pages 1017-1031.
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Dennis J. Paustenbach, Bethany Winans, Rachel M. Novick & Steven M. Green. (2015) The toxicity of crude 4-methylcyclohexanemethanol (MCHM): review of experimental data and results of predictive models for its constituents and a putative metabolite. Critical Reviews in Toxicology 45:sup2, pages 1-55.
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G. Gini, A.M. Franchi, A. Manganaro, A. Golbamaki & E. Benfenati. (2014) ToxRead: A tool to assist in read across and its use to assess mutagenicity of chemicals. SAR and QSAR in Environmental Research 25:12, pages 999-1011.
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Antonio Cassano, Giuseppa Raitano, Enrico Mombelli, Alberto Fernández, Josep Cester, Alessandra Roncaglioni & Emilio Benfenati. (2014) Evaluation of QSAR Models for the Prediction of Ames Genotoxicity: A Retrospective Exercise on the Chemical Substances Registered Under the EU REACH Regulation. Journal of Environmental Science and Health, Part C 32:3, pages 273-298.
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