Implementation of in silico toxicology protocols within a visual and interactive hazard assessment platform.
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G. Myatt | K. Cross | M. Pavan | A. Bassan | D. Bower | C. Johnson | Scott Miller
[1] Thomas E. Exner,et al. Skin sensitization in silico protocol. , 2020, Regulatory toxicology and pharmacology : RTP.
[2] K. Cross,et al. Development of improved QSAR models for predicting the outcome of the in vivo micronucleus genetic toxicity assay. , 2020, Regulatory toxicology and pharmacology : RTP.
[3] Glenn Myatt,et al. CHAPTER 4. Organisation of Toxicological Data in Databases , 2019, Issues in Toxicology.
[4] Naomi L Kruhlak,et al. Transitioning to composite bacterial mutagenicity models in ICH M7 (Q)SAR analyses. , 2019, Regulatory toxicology and pharmacology : RTP.
[5] Raymond R Tice,et al. Genetic toxicology in silico protocol. , 2019, Regulatory toxicology and pharmacology : RTP.
[6] Lidiya Stavitskaya,et al. Principles and procedures for handling out-of-domain and indeterminate results as part of ICH M7 recommended (Q)SAR analyses , 2018, Regulatory toxicology and pharmacology : RTP.
[7] Tudor I. Oprea,et al. In silico toxicology protocols. , 2018, Regulatory toxicology and pharmacology : RTP.
[8] A. Teasdale. ICH M7: Assessment and Control of DNA Reactive (Mutagenic) Impurities in Pharmaceuticals to Limit Potential Carcinogenic Risk , 2017 .
[9] Lidiya Stavitskaya,et al. Principles and procedures for implementation of ICH M7 recommended (Q)SAR analyses. , 2016, Regulatory toxicology and pharmacology : RTP.
[10] Lidiya Stavitskaya,et al. Extending (Q)SARs to incorporate proprietary knowledge for regulatory purposes: A case study using aromatic amine mutagenicity. , 2016, Regulatory toxicology and pharmacology : RTP.
[11] Steven J Enoch,et al. Adverse Outcome Pathway (AOP) Informed Modeling of Aquatic Toxicology: QSARs, Read-Across, and Interspecies Verification of Modes of Action. , 2016, Environmental science & technology.
[12] Lidiya Stavitskaya,et al. Establishing best practise in the application of expert review of mutagenicity under ICH M7. , 2015, Regulatory toxicology and pharmacology : RTP.
[13] T M Martin,et al. Comparison of global and mode of action-based models for aquatic toxicity , 2015, SAR and QSAR in environmental research.
[14] Mark W Powley,et al. (Q)SAR assessments of potentially mutagenic impurities: a regulatory perspective on the utility of expert knowledge and data submission. , 2015, Regulatory toxicology and pharmacology : RTP.
[15] Takao Ashikaga,et al. Predictive performance of the human Cell Line Activation Test (h-CLAT) for lipophilic chemicals with high octanol-water partition coefficients. , 2013, The Journal of toxicological sciences.
[16] Ord,et al. Integrated Risk Information System , 2013 .
[17] Nigel Greene,et al. In silico methods combined with expert knowledge rule out mutagenic potential of pharmaceutical impurities: an industry survey. , 2012, Regulatory toxicology and pharmacology : RTP.
[18] Mark T D Cronin,et al. The Use of a Chemistry-based Profiler for Covalent DNA Binding in the Development of Chemical Categories for Read-across for Genotoxicity , 2011, Alternatives to laboratory animals : ATLA.
[19] David W Roberts,et al. Mechanistic applicability domains for nonanimal-based prediction of toxicological end points: general principles and application to reactive toxicity. , 2006, Chemical research in toxicology.
[20] Chihae Yang,et al. Building predictive models for protein tyrosine phosphatase 1B inhibitors based on discriminating structural features by reassembling medicinal chemistry building blocks. , 2004, Journal of medicinal chemistry.
[21] Glenn Myatt,et al. Finding discriminating structural features by reassembling common building blocks. , 2003, Journal of medicinal chemistry.
[22] Bernard Testa,et al. Hydrolysis in drug and prodrug metabolism : chemistry, biochemistry, and enzymology , 2003 .
[23] Glenn J. Myatt,et al. LeadScope: Software for Exploring Large Sets of Screening Data , 2000, J. Chem. Inf. Comput. Sci..
[24] Oecdocde 442E. Test Guideline No. 442E In Vitro Skin Sensitisation In Vitro Skin Sensitisation assays addressing the Key Event on activation of dendritic cells on the Adverse Outcome Pathway for Skin Sensitisation , 2022 .
[25] M. Fligner,et al. Systematic analysis of large screening sets in drug discovery. , 2004, Current drug discovery technologies.