德托克斯:一种体替代动物试验,用于预测潜在的发育毒性
Ricardo Scheufen Tieghi1, Marielle Rath1, José Teófilo Moreira-Filho2
1UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.
这项研究开发了定量结构-活性关系 (QSAR) 模型来预测产前发育性毒性,有助于为孕妇创造更安全的药物. 这些模型可以通过一个用户友好的网络工具访问,支持监管评估和减少动物试验.
科学领域:
- * 计算毒理学 * 计算毒理学
- * 化学信息学 化学信息学
- * 生殖毒理学 * 生殖毒理学
背景情况:
- *怀孕期间使用药物很常见,但胎儿安全数据有限.
- * 定量结构-活动关系 (QSAR) 模型提供了一种预测方法来评估发育性毒性.
- *QSAR有助于开发更安全的药物,并与3Rs (改进,减少,取代动物试验) 保持一致.
研究的目的:
- * 创建和验证用于预测产前发育毒性的QSAR模型.
- *建立具有已知的发育毒性化合物的精选数据库.
- * 在可访问的在线平台上实施预测模型,用于监管.
主要方法:
- *从FDA和原体信息系统 (TERIS) 数据库中编制和策划的数据.
- * 开发了使用机器学习算法 (RF,SVM,LightGBM) 的QSAR模型,并采用贝叶斯超参数优化.
- * 将验证的模型实现到一个名为DeTox的用户友好的网络工具中.
主要成果:
- * 开发了QSAR模型,用于整体和三个月特定的发育毒性.
- * 取得的正确分类率为76% (总体),80% (第一季度),95% (第二季度) 和95% (第三季度).
- *为毒性预测建立了一个公开可访问的网页门户 (https://detox.mml.unc.edu/).
结论:
- * DeTox工具支持对制药和化品的监管评估,与3Rs保持一致.
- * 公共可用的数据集和用户友好的网络工具有助于为孕妇群体开发更安全的药物.
- *DeTox通过预测毒理学促进更安全的药物开发和监管合规.
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