通过计算设计的质量:利用人工智能推进合理的药物开发
Nannan Wang1, Hao Zhong1, Ping Xiong1
1State Key Laboratory of Mechanism and Quality of Chinese Medicine (University of Macau), Institute of Chinese Medical Sciences (ICMS), University of Macau, Macau, China.
计算设计质量 (QbCD) 将人工智能和计算制药集成到设计质量 (QbD) 中,用于先进的药物开发. 这种方法提高了配方设计的效率和临床相关性.
科学领域:
- 制药科学 制药科学
- 计算制药学 计算机制药学
- 药物开发 药物开发
背景情况:
- 传统的设计质量 (QbD) 早于人工智能,并与复杂的药物产品作斗争.
- 传统的QbD依赖于经验数据,限制了灵活性和先进的设计能力.
- 计算制药学为药物开发提供了新的方法.
研究的目的:
- 通过计算设计 (QbCD) 引入质量作为一种新型范式.
- 将计算型药物整合到QbD框架中,以实现基于机制和临床指导的配方.
- 提供QbCD实施和监管合规性的实际指南.
主要方法:
- 定义QbCD概念,组件和实施步骤.
- 利用人工智能 (AI),物理建模和体内建模.
- 介绍无形固体分散剂和长效注射剂的案例研究.
主要成果:
- 通过虚拟和现实世界的案例研究证明了QbCD的可行性.
- 在药物开发中展示了AI,物理和体内建模应用.
- 解决了QbCD实施的监管考虑因素.
结论:
- QbCD为药物开发提供了一种更智能,更有效,更符合临床的方法.
- 未来的工作应该集中在弥合数据差距和推进方法论创新上.
- 促进支持生态系统对于计算机制药的采用至关重要.
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