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类药物合物的研究和开发趋势:人工智能辅助设计
Dong-E Zhang1, Tong He2, Tianyi Shi2
1The Third Hospital of Wuhan, Hubei University of Chinese Medicine, Wuhan, China.
Frontiers in pharmacology
|March 14, 2025
概括
类药物联合体 (PDCs) 提供针对性的药物输送到患病组织,减少副作用. 人工智能 (AI) 在克服目前PDC开发和评估的局限性方面表现有前途.
科学领域:
- 生物技术是生物技术.
- 药物发现 药物发现 药物发现
- 药用化学 医学化学
背景情况:
- 类药物联合体 (PDCs) 是通过类药物输送药物的向治疗药物.
- 通过将病原体集中在疾病部位,PDC增强药物的疗效并降低毒性.
- 目前的PDC开发面临限制:有限的/链接剂,狭窄的应用程序和数据平台.
研究的目的:
- 审查近期类药物联合体开发的进展和局限性.
- 突出人工智能 (AI) 在应对PDC挑战方面的潜力.
- 探索AI在革命性PDC设计和评估中的作用.
主要方法:
- 关于类药物合物研究的文献综述.
- 分析PDC发展和临床转化当前的限制.
- 在药物设计和预测中探索人工智能应用.
主要成果:
- PDCs显示出针对性治疗的巨大潜力,但面临着发展障碍.
- 人工智能,包括新的蛋白质设计,在药物发现中越来越重要.
- 人工智能为优化选择,链接器策略和PDCs的预测评估提供了解决方案.
结论:
- 人工智能集成可以加速开发和扩大类药物合物的应用.
- 克服当前的局限性需要创新的方法,人工智能是关键的推动因素.
- 未来的PDC进步可能会受到人工智能驱动的设计和评估工具的重大影响.
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