通过人工智能加速药物发现,开发和临床试验.
Yilun Zhang1, Mohamed Mastouri2, Yang Zhang2
1College of Science, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, China; School of Medicine, The Chinese University of Hong Kong (Shenzhen), Shenzhen, Guangdong, China.
Med (New York, N.Y.)
|August 22, 2024
概括
人工智能 (AI) 正在彻底改变小分子,RNA和抗体的药物开发. 采用先进的AI模型,如大型语言模型,可以克服AI设计药物批准的障碍.
科学领域:
- 生物医学研究的研究.
- 制药科学 制药科学
- 计算化学是一种计算化学.
背景情况:
- 人工智能 (AI) 显著影响生物医学研究和药物发现.
- 人工智能为制药创新提供了变革性的潜力,特别是在开发小分子,RNA疗法和抗体方面.
研究的目的:
- 提供对人工智能辅助药物开发进展的全面分析.
- 检查AI在工业药物开发框架中的整合.
- 确定挑战,并为人工智能设计的药物批准提出解决方案.
主要方法:
- 在小分子,RNA和抗体药物开发中对AI应用的审查.
- 分析当前的工业药物开发过程.
- 检查目前正在临床试验中的药物.
- 关于人工智能方法及其整合的文献综述.
主要成果:
- 人工智能正在药物开发的各个方面取得实质性进展.
- 人工智能在工业药物开发中的整合正在进行中.
- 一个关键的挑战仍然是AI设计的药物没有获得监管部门的批准.
结论:
- 人工智能具有加速和增强药物发现和开发的巨大潜力.
- 大型语言模型和传播模型被提出为克服批准障碍的策略.
- 药品人工智能领域充满活力,面临着持续的挑战和有前景的前景.
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