导航药物重定位的计算景观
Andrea Álvarez-Pérez1, Lucía Prieto-Santamaría1, Ana I Casas2,3
1Centro de Tecnología Biomédica and ETS de Ingenieros Informáticos, Universidad Politécnica de Madrid, Madrid, Spain.
Annual review of pharmacology and toxicology
|January 23, 2026
概括
药物重新利用为旧药物找到新的用途. 包括人工智能在内的计算方法提供了强大的工具,用于识别这些机会,以更有效地治疗疾病.
科学领域:
- 药理学 药理学是指药理学的学科.
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 药物重新定位是一种成本效益高的策略,用于识别新的治疗方法.
- 数据驱动的计算方法在药物重定向研究中越来越重要.
- 现有的知识库和计算技术为新药发现提供了基础.
研究的目的:
- 审查用于药物重定向的计算方法.
- 突出人工智能和大型语言模型在这个领域的作用.
- 为研究人员提供计算药物重新利用的资源.
主要方法:
- 分子对接模拟分子对接模拟
- 基于网络的计算方法.
- 欧米克斯数据集成数据集成
- 人工智能和大型语言模型
主要成果:
- 计算方法为药物重用提供了有价值的见解.
- 案例研究证明了这些方法的实际应用.
- 人工智能和LLM正在为识别重用候选人开辟新的途径.
结论:
- 计算药物重新定位加速了新治疗方法的发现.
- 多种不同的计算技术的整合增强了重新定位机会的识别.
- 未来的方向包括利用先进的人工智能来应对药物重用挑战.
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