Improving opportunities for regulatory acceptance of QSARs: The importance of model domain, uncertainty, validity and predictability

被引：36

作者：

Walker, JD

Carlsen, L

Jaworska, J

机构：

[1] Roskilde Univ Ctr, Dept Environm Technol & Social Studies, DK-4000 Roskilde, Denmark

[2] Procter & Gamble, Eurocor, B-1853 Strombeek Bever, Belgium

来源：

QSAR & COMBINATORIAL SCIENCE | 2003年 / 22卷 / 03期

关键词：

QSARs; regulatory acceptance; domain; uncertainty; predictability;

D O I：

10.1002/qsar.200390024

中图分类号：

R914 [药物化学];

学科分类号：

100701 ;

摘要：

For Quantitative Structure Activity Relationships.(QSARs) to be accepted by the regulated and regulatory communities, their scope for use needs to be agreed upon by government and industry. This paper discusses the importance of model domain, uncertainty, validity and predictability assessment in promoting the regulatory acceptance of QSARs.

引用

页码：346 / 350

页数：5

共 47 条

[1] MODE OF ACTION AND THE ASSESSMENT OF CHEMICAL HAZARDS IN THE PRESENCE OF LIMITED DATA - USE OF STRUCTURE-ACTIVITY-RELATIONSHIPS (SAR) UNDER TSCA, SECTION-5 [J].