期刊
SAR AND QSAR IN ENVIRONMENTAL RESEARCH
卷 25, 期 12, 页码 999-1011出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/1062936X.2014.976267
关键词
read across; SAR; REACH; similarity; mutagenicity; VEGA; QSAR
类别
资金
- LIFE programme
- project CALEIDOS
- project PROSIL
Life sciences, and toxicology in particular, are heavily impacted by the development of methods for data collection and data analysis; they are moving from an analytical approach to a modelling approach. The scarce availability of experimental data is a known bottleneck in assessing the properties of new chemicals. Even when a model is available, the resulting predictions have to be assessed by close scrutiny of the chemicals and the biological properties of the compounds concerned. To avoid unnecessary testing, a read across strategy is often suggested and used. In this paper we discuss how to improve and standardize read across activity using ad hoc visualization and data search methods which use similarity measures and fragment search to organize in a chart a picture of all the relevant information that the expert needs to make an assessment. We show in particular how to apply our system to the case of mutagenicity.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据