使用基于度的分子描述器对多二的QSPR建模:使用线性,多项式和回归的比较研究
Huang Wei1, Sadia Noureen2, Amna Maryam2
1School of Technology, Fuzhou Technology and Business University, Fuzhou, 350715, Fujian, People's Republic of China.
The European physical journal. E, Soft matter
|January 29, 2026
概括
新的分子描述器,包括圆的Sombor和反向的欧勒Sombor指数,有效地预测了多二 (PCB) 的特性. 这些化学图形理论工具有助于理解环境和设计应用的物理化学行为.
科学领域:
- 化学图形理论 化学图形理论
- 分子建模分子建模
- 物理化学特性 物理化学特性
背景情况:
- 化学图形理论将分子表示为图形 (顶点=原子,边缘=键).
- 分子描述器提取结构信息来模型属性.
- 多双 (PCB) 是具有显著物理化学性质的环境污染物.
研究的目的:
- 评估基于度的新型分子描述器来建模PCB特性.
- 开发和验证PCB的定量结构-属性关系 (QSPR) 模型.
- 评估在物理化学行为中选定的描述符的预测能力.
主要方法:
- 利用化学图形理论和基于度的分子描述器 (欧勒索波,圆索波等). ) 的情况.
- 开发了使用线性,多项式和回归的QSPR模型.
- 通过预测准确性,交叉验证和引导来评估模型性能.
主要成果:
- 选择的描述符,特别是圆的Sombor和反向的欧勒Sombor指数,与PCB属性有很强的相关性.
- 开发的QSPR模型展示了显著的预测能力.
- 这项研究证实了这些新型描述符在建模物理化学行为的实用性.
结论:
- 新的基于度的分子描述器对于预测PCB物理化学性质是有效的.
- 这些QSPR模型为环境风险评估和计算设计提供了有价值的工具.
- 这些发现支持化学图形理论在理解复杂分子行为的应用.
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