种族曼德拉酸化合物的分离机制和奇拉-HPLC染色体概况:实验与计算之间的比较研究,使用符合型-旋转型组合采样工具 (CREST) -XTB
Fenti Fatmawati1,2, Aditya Wibawa Sakti3, Suci Zulaikha Hildayani4
1Doctoral Program of Chemistry, Faculty of Mathematics and Natural Science, Institut Teknologi Bandung, Bandung, Indonesia.
Journal of molecular modeling
|July 12, 2025
概括
奇拉色谱成功地分离了曼德利酸反体. 计算分析预测R-enantiomer的结合更强,与实验结果一致,显示S-enantiomer首先解离.
科学领域:
- 基质化学 基质化学 基质化学
- 计算化学是一种计算化学.
- 分析化学是一种分析化学.
背景情况:
- 大多数在市场上销售的药物都是racemates,即两个反体的混合物.
- 电反体可以具有不同的药理和毒理特征.
- 分离反体对于药物开发和安全至关重要.
研究的目的:
- 通过使用奇拉色谱来研究曼德利酸的离分离.
- 通过计算来研究反体分离的机制.
- 为了将实验色谱图谱与计算结合能量的预测相关联.
主要方法:
- 实验性分离曼德利酸赛马体使用一种合性高性能液体染色学 (HPLC) OD列.
- 计算分析使用符合型-旋转型组合采样工具 (CREST) 进行约束能预测.
- 使用的软件包括MGL-Tools,ADT,阿沃加德罗,AutoDock 4.2和发现工作室2020.
主要成果:
- 曼德利酸的S-反体在性HPLC实验中的R-反体之前被化.
- 计算研究预测了与S-enantiomer (-67 kJ/mol) 相比,R-enantiomer (-108.92 kJ/mol) 的结合能更强.
- 实验和计算结果显示,关于分离机制的良好协议.
结论:
- 奇拉色谱是一种有效的方法,用于分离曼德利酸反体.
- 基于结合能量的计算建模可以准确地预测基于结合能量的反体-脱离顺序.
- 了解这些相互作用对于优化性药物分离至关重要.
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