Honma Masamitsu
Kokuritsu Iyakuhin Shokuhin Eisei Kenkyusho Hokoku. 2010(128):39-43.
The focus of the latest legislative and governmental efforts is to establish simple screening tools for identifying those chemicals most likely to cause adverse effects without experimental testing of all chemicals of regulatory concern. The use of structure-activity relationship (SAR) models is a powerful in silico technique that should be considered for prioritizing chemicals for subsequent experimental verification. Because carcinogenicity and genotoxicity are among the toxicological endpoints that pose the highest concern for human health, efforts in SAR models for them have been much more pronounced than for any of the other human health end points. This review paper overviews the historical background of SAR models for predicting carcinogenicity and genotoxicity, the current status of capacity and usefulness of some in vitro genotoxicity SAR models, and their perspective.
最新立法和政府举措的重点是建立简单的筛选工具，以便在不对所有受监管关注的化学品进行实验测试的情况下，识别出最有可能产生不利影响的那些化学品。使用构效关系（SAR）模型是一种强大的计算机模拟技术，应将其用于对化学品进行优先级排序，以便后续进行实验验证。由于致癌性和遗传毒性是对人类健康构成最高关注的毒理学终点之一，因此针对它们的SAR模型研究比对任何其他人类健康终点的研究都要显著得多。本文综述了用于预测致癌性和遗传毒性的SAR模型的历史背景、一些体外遗传毒性SAR模型的能力和实用性现状及其前景。
