使用计算方法来设计纳米交付系统的使用
Abedalrahman Abughalia1, Mairead Flynn1, Paul F A Clarke2,3
1School of Pharmacy and Pharmaceutical Sciences, Trinity College Dublin, D02 PN40 Dublin, Ireland.
Nanomaterials (Basel, Switzerland)
|September 12, 2025
概括
诸如分子动力学 (MD) 模拟和人工智能 (AI) 等计算工具加速了纳米交付系统的设计. 这些方法优化纳米粒子特性,提高治疗效率和安全性.
科学领域:
- 生物医学工程 生物医学工程
- 纳米技术纳米技术
- 计算科学 计算科学
背景情况:
- 基于纳米的药物输送系统通过有针对性的运输和受控的释放提供了更好的治疗效率和安全性.
- 计算方法,包括分子动力学 (MD) 模拟和人工智能 (AI),正在彻底改变纳米载体设计和优化.
研究的目的:
- 对金和脂质纳米粒子平台的MD模拟和AI的进展进行审查.
- 突出计算方法在提高治疗性能的作用.
- 评估in silico模型如何指导实验验证和简化药物开发.
主要方法:
- 使用MD模拟来获得关于纳米粒子-生物膜相互作用的原子-mesoscale洞察力.
- 使用人工智能驱动的模型来分析化学数据集并预测最佳的纳米载体配方.
- 合成纳米粒子设计计算方法的关键进展.
主要成果:
- MD模拟阐明了纳米粒子特征 (如表面电荷,大小) 对细胞吸收和稳定性的影响.
- 人工智能模型加速发现有效的基于脂质的纳米颗粒用于基因传递和疫苗.
- 计算方法可以改进纳米粒子组成,以提高生物相容性和降低毒性.
结论:
- MD模拟和AI是合理设计和优化纳米交付系统的强大工具.
- 在模型促进纳米疗法从研究到临床应用的过渡.
- 解决数据稀缺性和体内复杂性等挑战对于未来纳米输送系统的进步至关重要.
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