School of Pharmacy and Chemistry, Liverpool John Moores University, Liverpool, UK.
Altern Lab Anim. 2009 Nov;37(5):533-45. doi: 10.1177/026119290903700510.
The applicability domain of a (quantitative) structure-activity relationship ([Q]SAR) must be defined, if a model is to be used successfully for toxicity prediction, particularly for regulatory purposes. Previous efforts to set guidelines on the definition of applicability domains have often been biased toward quantitative, rather than qualitative, models. As a result, novel techniques are still required to define the applicability domains of structural alert models and knowledge-based systems. By using Derek for Windows as an example, this study defined the domain for the skin sensitisation structural alert rule-base. This was achieved by fragmenting the molecules within a training set of compounds, then searching the fragments for those created from a test compound. This novel method was able to highlight test chemicals which differed from those in the training set. The information was then used to designate chemicals as being either within or outside the domain of applicability for the structural alert on which that training set was based.
如果要成功地将(定量)结构-活性关系(QSAR)模型用于毒性预测,特别是在监管方面,那么必须定义其适用性域。先前在定义适用性域方面的努力通常偏向于定量模型,而不是定性模型。因此,仍然需要新的技术来定义结构警报模型和基于知识的系统的适用性域。本研究通过使用 Derek for Windows 作为示例,定义了皮肤致敏结构警报规则库的域。这是通过对化合物的训练集中的分子进行片段化,然后搜索测试化合物中创建的片段来实现的。这种新方法能够突出显示与训练集中的化合物不同的测试化学品。然后,该信息用于指定化学物质是在基于该训练集的结构警报的适用性域内还是外。