Aronson Dallas, Boethling Robert, Howard Philip, Stiteler William
Syracuse Research Corporation, Environmental Science Center, 301 Plainfield Road, Suite 350, Syracuse, NY 13212, USA.
Chemosphere. 2006 Jun;63(11):1953-60. doi: 10.1016/j.chemosphere.2005.09.044. Epub 2005 Nov 16.
Biodegradation half-lives are needed for many applications in chemical screening, but these data are not available for most chemicals. To address this, in phase one of this work we correlated the much more abundant ready and inherent biodegradation test data with measured half-lives for water and soil. In phase two, we explored the utility of the BIOWIN models (in EPI Suite) and molecular fragments for predicting half-lives. BIOWIN model output was correlated directly with measured half-lives, and new models were developed by re-regressing the BIOWIN fragments against the half-lives. All of these approaches gave the best results when used for binary (fast/slow) classification of half-lives, with accuracy generally in the 70-80% range. In the last phase, we used the collected half-life data to examine the default half-lives assigned by EPI Suite and the PBT Profiler for use as input to their level III multimedia models. It is concluded that estimated half-lives should not be used for purposes other than binning or prioritizing chemicals unless accuracy improves significantly.
化学筛选中的许多应用都需要生物降解半衰期数据,但大多数化学品都没有这些数据。为了解决这个问题,在这项工作的第一阶段,我们将丰富得多的快速和固有生物降解测试数据与水和土壤中测得的半衰期进行了关联。在第二阶段,我们探讨了BIOWIN模型(在EPI Suite中)和分子片段在预测半衰期方面的效用。BIOWIN模型输出与测得的半衰期直接相关,并通过将BIOWIN片段与半衰期重新回归来开发新模型。所有这些方法在用于半衰期的二元(快/慢)分类时都取得了最佳结果,准确率通常在70%-80%范围内。在最后阶段,我们使用收集到的半衰期数据来检查EPI Suite和PBT Profiler指定的默认半衰期,以用作其三级多媒体模型的输入。得出的结论是,除非准确性有显著提高,否则估计的半衰期不应用于除化学品分类或排序以外的其他目的。