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Richard V Williams

20

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234

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Extrapolation of in vitro structural alerts for mutagenicity to the in vivo endpoint

2019 Mutagenesis
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Important considerations for the validation of QSAR models for in vitro mutagenicity

2019 Mutagenesis
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Improvement of quantitative structure–activity relationship (QSAR) tools for predicting Ames mutagenicity: outcomes of the Ames/QSAR International Challenge Project

2019 Mutagenesis
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Information-Derived Mechanistic Hypotheses for Structural Cardiotoxicity

2018 Chemical Research in Toxicology
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Carbamates and ICH M7 classification: Making use of expert knowledge

2017 Regulatory Toxicology and Pharmacology
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CHAPTER 3:Tools for Green Molecular Design to Reduce Toxicological Risk

2017
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It's difficult, but important, to make negative predictions.

2016 Regulatory Toxicology and Pharmacology
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Predicting skin sensitisation using a decision tree integrated testing strategy with an in silico model and in chemico/in vitro assays

2016 Regulatory Toxicology and Pharmacology
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Establishing Good Computer Modelling Practice (GCMP) in the Prediction of Chemical Toxicity.

2015 Molecular Informatics
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Using in vitro structural alerts for chromosome damage to predict in vivo activity and direct future testing

2015 Mutagenesis
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