革新药物配方开发:机器学习的影响越来越大
Zeqing Bao1, Jack Bufton1, Riley J Hickman2
1Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON M5S 3M2, Canada.
Advanced drug delivery reviews
|September 29, 2023
概括
机器学习 (ML) 加快了制药配方开发,在脂质纳米粒子传递方面的进步基础上. 这次审查详细介绍了MLML的细节.
科学领域:
- 制药科学 制药科学
- 计算化学计算化学
- 生物技术是生物技术.
背景情况:
- 配方科学对于药物输送至关重要,mRNA疫苗已经证明了这一点.
- 传统的配方开发依赖于广泛,昂贵的湿实验室实验.
- 机器学习 (ML) 提供了一种有希望的方法来加速这一过程.
研究的目的:
- 在药物配方开发中提供ML应用的最新审查.
- 引入用于配方设计的先进的ML技术.
- 讨论实现自动驾驶实验室的进展以及未来的ML应用.
主要方法:
- 对ML的最新进展进行文献综述,用于配方科学.
- 分析新兴的ML技术应用于药物设计.
- 讨论自动化实验室系统的进展情况.
主要成果:
- 自2021年以来,ML应用在配方开发中的显著增长.
- 实施先进的ML技术,以改进配方设计.
- 为加速研究开发自动驾驶实验室的进展.
结论:
- ML正在迅速改变药物配方开发.
- 先进的ML技术和自动化实验室是未来创新的关键.
- 进一步利用ML对制药研发具有重大潜力.
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