How well can carcinogenicity be predicted by high throughput “characteristics of carcinogens” mechanistic data?-Reference-Cited by-同舟云学术

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How well can carcinogenicity be predicted by high throughput “characteristics of carcinogens” mechanistic data?

Published:2017-11 Issue: Volume:90 Page:185-196
ISSN:0273-2300
Container-title:Regulatory Toxicology and Pharmacology
language:en
Short-container-title:Regulatory Toxicology and Pharmacology

Author:

Becker Richard A.,Dreier David A.,Manibusan Mary K.,Cox Louis A. (Tony),Simon Ted W.,Bus James S.

Funder

American Chemistry Council

Publisher

Elsevier BV

Subject

Toxicology,General Medicine

Reference46 articles.

1. Quantitative weight of evidence to assess confidence in alternative modes of action;Becker;Regul. Toxicol. Pharmacol.,2017

2. Evaluation of the toxicity forecasting capability of EPA's ToxCast phase I data: can ToxCast in vitro assays predict carcinogenicity?;Benigni;J. Environ. Sci. Health C Environ. Carcinog. Ecotoxicol. Rev.,2013

3. Predicting the carcinogenicity of chemicals with alternative approaches: recent advances;Benigni;Expert Opin. Drug Metab. Toxicol.,2014

4. IPCS framework for analyzing the relevance of a cancer mode of action for humans;Boobis;Crit. Rev. Toxicol.,2006

5. Classification schemes for carcinogenicity based on hazard-identification have become outmoded and serve neither science nor society;Boobis;Regul. Toxicol. Pharmacol.,2016

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