Transitioning to composite bacterial mutagenicity models in ICH M7 (Q)SAR analyses-Reference-Cited by-同舟云学术

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Transitioning to composite bacterial mutagenicity models in ICH M7 (Q)SAR analyses

Published:2019-12 Issue: Volume:109 Page:104488
ISSN:0273-2300
Container-title:Regulatory Toxicology and Pharmacology
language:en
Short-container-title:Regulatory Toxicology and Pharmacology

Author:

Landry Curran,Kim Marlene T.,Kruhlak Naomi L.,Cross Kevin P.,Saiakhov Roustem,Chakravarti Suman,Stavitskaya Lidiya

Funder

National Institute of Environmental Health Sciences

Publisher

Elsevier BV

Subject

Toxicology,General Medicine

Reference66 articles.

1. Extending (Q)SARs to incorporate proprietary knowledge for regulatory purposes: a case study using aromatic amine mutagenicity;Ahlberg;Regul. Toxicol. Pharmacol.,2016

2. Principles and procedures for handling out-of-domain and indeterminate results as part of ICH M7 recommended (Q)SAR analyses;Amberg;Regul. Toxicol. Pharmacol.,2019

3. Principles and procedures for implementation of ICH M7 recommended (Q)SAR analyses;Amberg;Regul. Toxicol. Pharmacol.,2016

4. Do carboxylic/sulfonic acid halides really present a mutagenic and carcinogenic risk as impurities in final drug products?;Amberg;Org. Process Res. Dev.,2015

5. An improved bacterial test system for the detection and classification of mutagens and carcinogens;Ames;Proc. Natl. Acad. Sci. U.S.A.,1973

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2. Development of a read-across-derived classification model for the predictions of mutagenicity data and its comparison with traditional QSAR models and expert systems;Toxicology;2023-12

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4. DeepAmes: A deep learning-powered Ames test predictive model with potential for regulatory application;Regulatory Toxicology and Pharmacology;2023-10

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