高斯计算方法设置对QSRR模型准确度对DFT计算的酸可溶性能量的影响
Hongyue Li1, Shiyuan Sun1, Zhou Fang2
1School of Pharmacy, Jiamusi University, POB 154007, Jiamusi, China.
Journal of molecular modeling
|November 11, 2025
概括
一个新的定量结构-保留关系 (QSRR) 模型准确地预测了酸保留时间. 6-31G基础集为QSRR研究中的描述器计算提供了一种具有成本效益的方法.
科学领域:
- 计算化学的计算化学
- 分析化学 分析化学
- 化学信息学 化学信息学
背景情况:
- 定量结构-保留关系 (QSRR) 对于预测化合物保留时间至关重要.
- 对于酸的QSRR存在有限的系统研究,尽管有许多描述器和标准.
- 本研究解决了对于酸的可靠QSRR模型的需求.
研究的目的:
- 建立一种新的QSRR方法来预测酸保留时间.
- 调查不同计算方法对溶解能计算和QSRR模型性能的影响.
- 为了确定酸QSRR研究的最佳和成本有效的计算方法.
主要方法:
- 通过HPLC获得了十种酸的实验保留时间 (tR).
- 分子描述符,包括水 (EW) 和甲醇 (EM) 溶解能,使用各种基础集的DFT-RB3LYP计算.
- 逐步多重线性回归和对对样本t测试用于模型开发和比较.
主要成果:
- 为了预测酸保留时间,开发了一种稳定且高性能的QSRR模型.
- 在6-31G基数组和更计算密集型方法之间没有观察到预测误差的显著差异.
- 6-31G基数组被证明是酸QSRR.中描述器计算的成本效益较高的选择.
结论:
- 开发的QSRR方法提高了酸的理论研究和实际应用的效率和可靠性.
- 对于酸QSRR研究,建议使用6-31G基组,因为它具有成本效益和可比准确性.
- 这项研究为酸的QSRR分析提供了经过验证和优化的方法.
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