Data Quality in Predictive Toxicology : Reproducibility of Rodent Carcinogenicity Experiments

By Helma, Christoph

Book Id: WPLBN0000075260
Format Type: PDF eBook:
File Size: 0.1 MB
Reproduction Date: 2005

Title:	Data Quality in Predictive Toxicology : Reproducibility of Rodent Carcinogenicity Experiments
Author:	Helma, Christoph
Volume:
Language:	English
Subject:	Government publications, United Nations., United Nations. Office for Disarmament Affairs
Collections:	Government Library Collection, Disarmament Documents
Historic Publication Date:
Publisher:	United Nations- Office for Disarmament Affairs (Unoda)


Citation APA MLA Chicago Helma, B. C. (n.d.). Data Quality in Predictive Toxicology : Reproducibility of Rodent Carcinogenicity Experiments. Retrieved from https://self.gutenberg.org/

Description
Government Reference Publication

Excerpt
Excerpt: The development of structure?activity relationships (SARs) is gaining more and more importance in predictive toxicology and risk assessment. These models rely on the comparison of chemical structures and their properties with their toxicologic effects and can be used for the prediction of adverse effects of chemicals, but they are also valuable tools to investigate questions of scientific interest (e.g., toxicologic mechanisms). Each SAR study needs reliable chemical and biologic data, but this aspect is neglected in most investigations. Few systemic studies are available for the development of SAR models. This article presents a discussion about the reliability of toxicologic data in SAR models and risk assessment. In a previous paper (1), we covered the identification and representation of chemical structures and the calculation of chemical properties.