了解细胞和小分子药物在原生生理条件下如何工作的第一原则
Robert Alan Pearlstein1, Rebeca Mendez Planchart1
1Novartis Biomedical Research, 181 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.
这项研究引入了一种基于物理的理论,用于预测药物的疗效和毒性. 它将化学结构与生理行为联系起来,改善了对人类相关药物开发的预测.
科学领域:
- 药理学 药理学是指药理学的学科.
- 计算化学的计算化学
- 生物物理学的生物物理.
背景情况:
- 小分子药物的高临床失败率源于在生理条件下的结构-有效性-毒性关系的不可靠预测.
- 目前的预测模型使用平衡数据,这些数据对于动态,不平衡的细胞环境是不够的.
研究的目的:
- 介绍一项基于物理原理的理论,用于预测药物的疗效和毒性.
- 为了弥合化学结构和体内药物行为之间的差距.
主要方法:
- 开发了一种理论,通过溶解成本将化学结构与自由能量障碍 (ΔG‡) 连接起来.
- 与药物动力学 (PK) 参数和动态药物点占用率 (γ(t)) 相关的 ΔG‡.
- 集成的γ(t) 与药理动力学和毒理动力学结果.
主要成果:
- 该理论提供了一个框架,可以根据基本原则预测药物的疗效和毒性.
- 证明了分子结构,动态细胞过程和生理结果之间的联系.
- 建立了一条改善对人类相关药物特性预测的途径.
结论:
- 开发的理论提供了一个更准确的方法来预测药物的疗效和毒性在人类.
- 这种基于物理学的模型有可能显著降低临床药物失败率.
- 促进化学结构-有效性/毒性关系的改进预测,用于药物开发.
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