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Kimberly T To¹, Judy Strickland², Emily Reinke²

¹Predictive Toxicology and Information Sciences Group, Discovery and Safety Assessment Division, Inotiv, Inc., Morrisville, NC, 27560, USA. kim.to@inotivco.com.

BMC bioinformatics

|January 3, 2024

概括

一个新的Web应用程序,DASS应用程序,简化皮肤敏感性评估使用皮肤敏感性的定义方法 (DASS). 它允许对化学安全数据进行一致和可重复的分析,以符合监管要求.

科学领域:

毒理学和生态毒理学
计算化学和化学信息学

背景情况:

过敏性接触性皮肤炎是一个重大的公共卫生问题,需要对化学物质的皮肤敏感化潜力进行监管评估.
定义的皮肤敏感化方法 (DASS) 整合了多个非动物试验数据来识别危险.
现有的DASS数据解释可能很复杂,容易出现手动错误.

研究的目的:

开发一个用户友好的,开源的网络应用程序,用于应用皮肤敏感化的监管测试策略.
简化三分之二 (2o3),综合测试策略 (ITS) 和关键事件3/1连续测试策略 (KE 3/1 STS) 的应用.

主要方法:

开发DASS App,这是一个开源的,基于Web的应用程序.
该应用程序支持用户数据上传,分析和识别数据不一致.
方便使用三个不同的DASS监管测试策略.

主要成果:

DASS应用程序允许在不需要软件下载或专业计算专业知识的情况下评估皮肤敏感化潜力.
它以可下载的格式提供预测,提高了数据的可访问性.
该应用程序确保了DASS指南的一致和可重复的应用.

结论:

DASS应用程序提供了一个可访问的,开放式访问工具,用于一致和可重复的皮肤敏感性评估.
它支持广泛的用户采用国际协调的监管指南,以关键的公共卫生终点.
该工具在线免费使用,所有脚本都可以在GitHub上访问.

关键词:

计算预测的计算预测.数据整合数据集成定义的方法定义的方法.非动物方法非动物方法.皮肤敏感化皮肤敏感化

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