基于胆的离子液体与模型脂质膜的相互作用:力场参数化和膜分区
Rakesh Gupta1,2, Beena Rai1, K Ganapathy Ayappa2
1TCS Research, Tata Consultancy Services Limited, Pune 411057 Maharashtra, India.
The journal of physical chemistry. B
|March 5, 2026
概括
这项研究开发了胆基兰酸离子液体 (ILs) 的粗粒度模型,以模拟它们与细胞膜的相互作用. 新模型准确地预测了膜分裂和融合,有助于设计基于IL的新型药物递送系统.
科学领域:
- 计算化学和生物物理学
- 用于药物输送的材料科学.
- 分子动力学模拟的模拟.
背景情况:
- 离子液体 (ILs) 在药物输送和抗菌应用方面表现有前途.
- 模拟IL膜相互作用需要准确的粗粒度模型,用于微秒时间尺度.
- 基于胆基兰酸 (CAGE) 的IL是新型配方的重点.
研究的目的:
- 开发和验证基于CAGE的离子液体的粗粒度模型.
- 研究CAGE ILs与模型脂膜的相互作用.
- 为了使膜分裂和融合事件的微秒时间尺度模拟.
主要方法:
- 使用GROMOS54a7,CHARMM36m,OPLS和OPLS-R力场进行原子模拟,以参数化CAGE.
- 使用Martini 2 (M2) 和Martini 3 (M3) 框架开发粗粒度模型.
- 使用二聚胺酸胆 (DPPC) 脂质双层的自由能量计算.
主要成果:
- OPLS-R力场准确地预测了CAGE属性,使粗粒度模型参数化成为可能.
- 马蒂尼3 (M3) 模型与实验和原子学数据的一致性比M2更好.
- 观察到基兰酸的有利分离和基兰酸离子分离的增加;在基兰酸含量较高的情况下,发生了膜融合和脂质面积的增加.
结论:
- 成功开发了一种可靠的M3粗粒度模型用于CAGE ILs.
- 该模型准确地捕捉了膜分离,细胞行为和融合动态.
- 该工具可以推进用于治疗应用的基于CAGE的IL配方的设计.
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