结构异构体累积分子指纹方法 (SIC) 用于标准化结构异构体关系
1Independent Researcher, Karatsu, Saga, Japan. c.elegans.and.senescence@gmail.com.
Communications chemistry
|December 12, 2025
概括
一种新的分子指纹,结构异构体累积分子指纹 (SIC),精确量化异构体之间的结构差异. 这种方法克服了现有技术的局限性,帮助化学信息学和代谢物分析.
科学领域:
- 化学信息学 化学信息学
- 计算化学的计算化学
- 毒理学 毒理学 毒理学
背景情况:
- 标准化结构性异构体关系及其化学空间分布是一个重要的化学信息学挑战.
- 现有的分子指纹和缩小维度的方法与数据集大小和结构复杂性作斗争.
- 准确量化异构体差异对于化学分析和药物发现至关重要.
研究的目的:
- 引入一种新的分子指纹,结构同位素累积分子指纹 (SIC),以精确捕捉同位素关系.
- 评估SIC在量化不同类型异构体之间的结构差异方面的有效性.
- 展示SIC在可视化代谢物分布和识别潜在有毒化合物的实用性.
主要方法:
- 开发了结构同位素累积分子指纹 (SIC),包括精确质量 (SICem) 和累积亚结构描述符 (SICL).
- 应用SIC来量化位置性,骨性和功能性组异构体之间的结构差异.
- 使用SIC用于散射图,可视化代谢物分布和识别潜在的有毒内源代谢物.
主要成果:
- 在数量上,SIC能够高精度地捕捉异构体之间的相对结构差异,其性能优于现有的描述器.
- SICL允许计算相对结构距离,不论数据集大小或分子复杂性如何.
- 根据SIC分析确定了9种内源代谢物,其结构特征表明潜在的毒性.
结论:
- 新的SIC分子指纹为化学信息学中标准化和评估异构关系提供了强大的解决方案.
- SIC为分析复杂化学空间和理解代谢物行为提供了强大的工具.
- 这种方法有助于识别潜在的有毒化合物,并推动药物发现工作.
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