制药的未来:药物发现和开发中的人工智能
Chen Fu1,2, Qiuchen Chen1,3
1Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China.
Journal of pharmaceutical analysis
|September 2, 2025
概括
通过整合数据和算法来提高效率和降低成本, 人工智能正在改变药物发现. 尽管存在数据和知识产权方面的挑战,但人工智能能够加速从目标识别到临床试验的研究.
科学领域:
- 制药科学
- 计算生物学
- 生物技术
背景情况:
- 传统的药物发现是漫长而昂贵的.
- 人工智能为提高效率和成功率提供了潜在的解决方案.
- 机器学习 (ML) 和深度学习 (DL) 是推动人工智能的关键技术.
研究的目的:
- 探索人工智能对药物发现和开发的影响.
- 从目标验证到临床试验等各个阶段强调人工智能的作用.
- 确定人工智能在制药中的当前挑战和未来潜力.
主要方法:
- 人工智能与数据和计算能力的整合.
- 应用ML和DL算法
- 使用分子生成和虚拟选技术.
主要成果:
- 人工智能提高了药物研究的效率,准确性和成功率.
- 开发时间缩短,成本降低.
- 人工智能加速了目标发现,药物设计和临床试验过程.
结论:
- 人工智能显著提高了药物发现和开发效率.
- 挑战包括数据共享,知识产权和整合湿/干实验室实验.
- 人工智能驱动的疗法将在未来对制药行业产生重大影响.
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