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Updated: Jul 15, 2025

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关于预测协同作用药物组合的审查
Yichen Pan1, Haotian Ren1, Liang Lan2
1Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Life (Basel, Switzerland)
|September 28, 2023
概括
预测药物组合对于治疗疾病和减少药物耐药性至关重要. 本综述涵盖了用于预测药物组合效应的方法和数据库,有助于精确疗法开发.
科学领域:
- 药理学和计算机生物学
- 药物发现和开发 药物发现和开发
- 生物信息学和化学信息学
背景情况:
- 同时服用药物对于治疗高血压和糖尿病等复杂疾病具有临床意义.
- 组合疗法有效地减少了耐药性的进展.
- 预测药物组合效应对于推进精准医学至关重要.
研究的目的:
- 审查用于预测药物组合效应的最新方法和数据库.
- 介绍用于药物组合预测的各种算法.
- 突出这些预测在开发精准治疗中的作用.
主要方法:
- 审查公开可用的生物活性数据库,以预测药物组合.
- 介绍了五类算法:传统的机器学习,深度学习,数学方法,系统生物学和搜索算法.
- 讨论药物组合中的协同效应概念.
主要成果:
- 确定了用于预测药物组合疗效的关键数据库和算法.
- 展示了各种计算方法的应用.
- 突出了对精密疗法发展的贡献.
结论:
- 药物组合预测是一个快速发展的领域,具有重大临床影响.
- 计算方法和数据库的进步正在推动精密治疗的进步.
- 在预测模型开发和验证方面仍然存在挑战.
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