MetSim:用于异生物代谢模拟器的综合编程访问和途径管理
Louis Groff1, Antony Williams1, Imran Shah1
1Center for Computational Toxicology and Exposure (CCTE), Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States.
Chemical research in toxicology
|April 10, 2024
概括
MetSim是一个新的框架,用于比较异生物代谢模拟器. 结合多种工具提高了代谢物预测的准确性,有助于化学品风险评估.
科学领域:
- 环境化学环境化学
- 计算毒理学计算毒理学
- 生物信息学是一种生物信息学.
背景情况:
- 评估环境化学风险需要了解外源生物代谢.
- 现有的代谢物模拟工具具有不同的格式和有限的可比性.
- 将这些工具的性能和覆盖范围进行比较是一个重大挑战.
研究的目的:
- 开发一个标准化的框架,MetSim,用于协调和比较in silico代谢模拟器.
- 创建一个系统来评估不同代谢模拟工具的性能和覆盖范围.
主要方法:
- 开发了一个基于图表的图表,用于协调新陈代谢数据.
- 在MongoDB中实现了用于存储和检索代谢图的模式.
- 整合了四个模拟器:生物转换器,经合组织工具箱,环保署的CTS和TIMES.
- 编制了112种药物和432种代谢物的数据集,用于预测.
- 使用回忆和精度指标评估模拟器性能.
主要成果:
- 单个模拟器回忆率在0.39到0.54之间.
- 结合所有模拟器的预测,整体召回率提高到0.73.
- MetSim促进了对模拟器性能洞察力的高效导出.
结论:
- MetSim为评估in silico代谢模拟器提供了一个有价值的平台.
- 标准化比较有助于选择合适的化学风险评估工具.
- 未来的努力可以利用MetSim来评估其他数据集并提高预测准确性.
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