Bitsch A, Jacobi S, Melber C, Wahnschaffe U, Simetska N, Mangelsdorf I
Fraunhofer Institute of Toxicology and Experimental Medicine, Department Chemical Risk Assessment, Nikolai-Fuchs-Str. 1, D-30625 Hannover, Germany.
Regul Toxicol Pharmacol. 2006 Dec;46(3):202-10. doi: 10.1016/j.yrtph.2006.05.013. Epub 2006 Aug 28.
A database for repeated dose toxicity data has been developed. Studies were selected by data quality. Review documents or risk assessments were used to get a pre-screened selection of available valid data. The structure of the chemicals should be rather simple for well defined chemical categories. The database consists of three core data sets for each chemical: (1) structural features and physico-chemical data, (2) data on study design, (3) study results. To allow consistent queries, a high degree of standardization categories and glossaries were developed for relevant parameters. At present, the database consists of 364 chemicals investigated in 1018 studies which resulted in a total of 6002 specific effects. Standard queries have been developed, which allow analyzing the influence of structural features or PC data on LOELs, target organs and effects. Furthermore, it can be used as an expert system. First queries have shown that the database is a very valuable tool.
已开发出一个重复剂量毒性数据数据库。研究是根据数据质量来挑选的。使用审查文件或风险评估对现有的有效数据进行预筛选。对于定义明确的化学类别，化学品的结构应相当简单。该数据库为每种化学品包含三个核心数据集：(1) 结构特征和物理化学数据，(2) 研究设计数据，(3) 研究结果。为了进行一致的查询，针对相关参数制定了高度标准化的类别和术语表。目前，该数据库包含1018项研究中所调查的364种化学品，这些研究总共产生了6002种特定效应。已开发出标准查询，可用于分析结构特征或物理化学数据对最低观察到有害作用水平（LOEL）、靶器官和效应的影响。此外，它还可作为一个专家系统使用。初步查询表明该数据库是一个非常有价值的工具。
